From 2b7a1d4d5e7042fd7d6c28ba495b1dce7bd7516c Mon Sep 17 00:00:00 2001 From: Filipe Liu Date: Wed, 20 Nov 2024 04:36:32 +0000 Subject: [PATCH 1/4] modelling isolates --- Metabolic_modeling/analysis.ipynb | 1716 +- Metabolic_modeling/build_isolates.ipynb | 1434 +- Metabolic_modeling/data/model_acido_gf2.json | 44506 ++++++++++++++ Metabolic_modeling/data/model_rhoda_gf2.json | 41570 +++++++++++++ Metabolic_modeling/data/model_syncom.json | 52487 +++++++++++++++++ Metabolic_modeling/isolates.ipynb | 894 + Metabolic_modeling/ms_ext_symcom.py | 34 +- 7 files changed, 141908 insertions(+), 733 deletions(-) create mode 100644 Metabolic_modeling/data/model_acido_gf2.json create mode 100644 Metabolic_modeling/data/model_rhoda_gf2.json create mode 100644 Metabolic_modeling/data/model_syncom.json create mode 100644 Metabolic_modeling/isolates.ipynb diff --git a/Metabolic_modeling/analysis.ipynb b/Metabolic_modeling/analysis.ipynb index fa02236..8959810 100755 --- a/Metabolic_modeling/analysis.ipynb +++ b/Metabolic_modeling/analysis.ipynb @@ -12,7 +12,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "modelseedpy 0.3.3\n" + "modelseedpy 0.4.0\n" ] } ], @@ -41,15 +41,72 @@ } ], "source": [ - "model_rhoda = cobra.io.load_json_model('./data/model_rhoda_gf.json')\n", - "model_acido = cobra.io.load_json_model('./data/model_acido_gf.json')" + "model_rhoda = cobra.io.load_json_model('./data/model_rhoda_gf2.json')\n", + "model_acido = cobra.io.load_json_model('./data/model_acido_gf2.json')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "8634cef9-9b56-427a-a881-d8c987884471", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "MEDIA_ACETATE_NITRATE = {\n", + " 'EX_cpd00067_e0': 100.0,\n", + " 'EX_cpd00058_e0': 100.0,\n", + " 'EX_cpd00971_e0': 34.9324073,\n", + " 'EX_cpd00013_e0': 100.0,\n", + " 'EX_cpd00205_e0': 1.3415688,\n", + " 'EX_cpd00009_e0': 100.0,\n", + " 'EX_cpd11574_e0': 100.0,\n", + " 'EX_cpd00048_e0': 100.0,\n", + " 'EX_cpd00030_e0': 100.0,\n", + " 'EX_cpd00209_e0': 10.0,\n", + " 'EX_cpd00254_e0': 100.0,\n", + " 'EX_cpd10515_e0': 100.0,\n", + " 'EX_cpd00149_e0': 100.0,\n", + " 'EX_cpd00099_e0': 100.0,\n", + " 'EX_cpd00001_e0': 100.0,\n", + " 'EX_cpd00029_e0': 20.0,\n", + " 'EX_cpd00063_e0': 100.0,\n", + " 'EX_cpd00034_e0': 100.0,\n", + " 'EX_cpd00305_e0': 100.0\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "e575e82c-9a8b-41d7-b527-66a772916682", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "model_rhoda.medium = MEDIA_ACETATE_NITRATE\n", + "model_acido.medium = MEDIA_ACETATE_NITRATE" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "968f0c4a-9609-4bb4-8797-3482bd92e8ac", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "model_acido.reactions.rxn10126_c0.upper_bound = 0\n", + "model_rhoda.reactions.rxn10126_c0.upper_bound = 0" ] }, { "cell_type": "markdown", "id": "7db55746-d8a2-4e3f-b273-4759f0b5bcd4", "metadata": { - "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ @@ -58,7 +115,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 6, "id": "d6b60d63-11be-475d-bed0-034dda1ebc3f", "metadata": { "tags": [] @@ -71,7 +128,118 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, + "id": "df4e81d9-2b1c-4072-ae5a-900a4e6f333a", + "metadata": {}, + "outputs": [], + "source": [ + "total_time \tgdw \tac \tno3 \tno2 \tn2o \tatpm \tatpm_per_gdw_per_h\n", + "0 \t23.0 \t0.000006 \t-0.009394 \t-0.054518 \t0.041815 \t0.0 \t0.050478 \t0.002195\n", + "1 \t19.0 \t0.000009 \t-0.091716 \t-0.344241 \t0.337841 \t0.0 \t0.474340 \t0.024965\n", + "2 \t11.0 \t0.000005 \t-0.013321 \t-0.111735 \t0.144979 \t0.0 \t0.072216 \t0.006565\n", + "3 \t18.0 \t0.000006 \t0.018274 \t0.000797 \t0.007772 \t0.0 \tNaN \tNaN\n", + "4 \t24.0 \t-0.000003 \t-0.004143 \t0.000138 \t-0.004123 \t0.0 \tNaN \tNaN" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "f34690f6-0538-46da-ae28-efb842a5e4fb", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "23.0 0.022940000000000002 -0.009393526086956427 -0.05451826478260867 0.04181544043478261 0.0\n", + "19.0 0.027999999999999997 -0.09171647894736841 -0.3442412673684211 0.3378405647368421 0.0\n", + "11.0 0.009679999999999994 -0.01332054545454559 -0.11173495727272727 0.14497897545454547 0.0\n", + "18.0 0.017140000000000002 0.01827421666666673 0.0007971911111111114 0.00777229611111115 0.0\n", + "24.0 -0.013589999999999991 -0.004142845833333464 0.00013797541666666613 -0.004122567500000063 0.0\n" + ] + } + ], + "source": [ + "model = model_rhoda\n", + "model.medium = MEDIA_ACETATE_NITRATE\n", + "model.objective_direction = 'max'\n", + "exp_data = df_growth_data_3h11.transpose().to_dict()\n", + "for i in range(len(exp_data) - 1):\n", + " t_x = exp_data[i]\n", + " t_x_plus_1 = exp_data[i + 1]\n", + " time = t_x_plus_1['time'] - t_x['time']\n", + " od_dt = t_x_plus_1['OD600'] - t_x['OD600']\n", + " ac_dt = (t_x_plus_1['Acetate'] - t_x['Acetate'])/time\n", + " no3_dt = (t_x_plus_1['NO3'] - t_x['NO3'])/time\n", + " no2_dt = (t_x_plus_1['NO2'] - t_x['NO2'])/time\n", + " n2o_dt = (t_x_plus_1['N2O'] - t_x['N2O'])/time\n", + " \n", + " print(time, od_dt, ac_dt, no3_dt, no2_dt, n2o_dt)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "7b13509b-614c-41bb-8d71-816449dda811", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{0: {'time': 0.0,\n", + " 'Acetate': 18.0313603,\n", + " 'OD600': 0.01013,\n", + " 'NO3': 9.14450462,\n", + " 'NO2': 0.09977915,\n", + " 'N2O': 0.0},\n", + " 1: {'time': 23.0,\n", + " 'Acetate': 17.8153092,\n", + " 'OD600': 0.03307,\n", + " 'NO3': 7.89058453,\n", + " 'NO2': 1.06153428,\n", + " 'N2O': 0.0},\n", + " 2: {'time': 42.0,\n", + " 'Acetate': 16.0726961,\n", + " 'OD600': 0.06107,\n", + " 'NO3': 1.35000045,\n", + " 'NO2': 7.48050501,\n", + " 'N2O': 0.0},\n", + " 3: {'time': 53.0,\n", + " 'Acetate': 15.9261701,\n", + " 'OD600': 0.07075,\n", + " 'NO3': 0.12091592,\n", + " 'NO2': 9.07527374,\n", + " 'N2O': 0.0},\n", + " 4: {'time': 71.0,\n", + " 'Acetate': 16.255106,\n", + " 'OD600': 0.08789,\n", + " 'NO3': 0.13526536,\n", + " 'NO2': 9.21517507,\n", + " 'N2O': 0.0},\n", + " 5: {'time': 95.0,\n", + " 'Acetate': 16.1556777,\n", + " 'OD600': 0.0743,\n", + " 'NO3': 0.13857677,\n", + " 'NO2': 9.11623345,\n", + " 'N2O': 0.0}}" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_growth_data_3h11.transpose().to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, "id": "2634cf86-3040-4b14-81c0-b89cfe15c066", "metadata": { "tags": [] @@ -96,7 +264,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 10, "id": "b288d701-edff-4193-a01e-642b60ab059d", "metadata": { "tags": [] @@ -106,39 +274,36 @@ "name": "stdout", "output_type": "stream", "text": [ - "('Thiamin [e0]', 100.0)\n", - "('Sulfate [e0]', 100.0)\n", - "('Na+ [e0]', 34.9324073)\n", - "('Molybdate [e0]', 100.0)\n", - "('Zn2+ [e0]', 100.0)\n", - "('Ca2+ [e0]', 100.0)\n", - "('NH3 [e0]', 100.0)\n", - "('Ni2+ [e0]', 100.0)\n", - "('Phosphate [e0]', 100.0)\n", + "('Fe2+ [e0]', 100.0)\n", + "('Acetate [e0]', 1.7762543)\n", "('Cl- [e0]', 100.0)\n", - "('Mn2+ [e0]', 100.0)\n", "('Cu2+ [e0]', 100.0)\n", - "('Mg [e0]', 100.0)\n", - "('Vitamin B12 [e0]', 100.0)\n", - "('K+ [e0]', 1.3415688)\n", - "('H2O [e0]', 100.0)\n", + "('Phosphate [e0]', 100.0)\n", + "('Co2+ [e0]', 100.0)\n", + "('Sulfate [e0]', 100.0)\n", + "('Zn2+ [e0]', 100.0)\n", "('H+ [e0]', 100.0)\n", - "('tungstate [e0]', 100.0)\n", + "('Na+ [e0]', 34.9324073)\n", + "('Mg [e0]', 100.0)\n", "('Nitrate [e0]', 9.00923926)\n", - "('Fe2+ [e0]', 100.0)\n", - "('Co2+ [e0]', 100.0)\n", - "('Acetate [e0]', 1.7762543)\n", - "MAX ATPM 9.675706388812278\n", - "biomass gDW 0.0004665599999999398 OD600 0.07775999999998996\n" + "('H2O [e0]', 100.0)\n", + "('Thiamin [e0]', 100.0)\n", + "('Mn2+ [e0]', 100.0)\n", + "('K+ [e0]', 1.3415688)\n", + "('Molybdate [e0]', 100.0)\n", + "('NH3 [e0]', 100.0)\n", + "('Ca2+ [e0]', 100.0)\n", + "MAX ATPM 8.127067375580943\n", + "biomass gDW 0.00046655999999994767 OD600 0.07775999999999128\n" ] }, { "data": { "text/plain": [ - "(, )" + "(, )" ] }, - "execution_count": 5, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -149,7 +314,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 11, "id": "92436ff8-6b9f-41e2-b690-d41cbafd367d", "metadata": { "tags": [] @@ -159,36 +324,36 @@ "name": "stdout", "output_type": "stream", "text": [ - "('Thiamin [e0]', 100.0)\n", - "('Nitrate [e0]', 9.03407482)\n", + "('Fe2+ [e0]', 100.0)\n", + "('Cl- [e0]', 100.0)\n", + "('Cu2+ [e0]', 100.0)\n", + "('Phosphate [e0]', 100.0)\n", + "('Co2+ [e0]', 100.0)\n", "('Sulfate [e0]', 100.0)\n", + "('Zn2+ [e0]', 100.0)\n", + "('H+ [e0]', 100.0)\n", "('Acetate [e0]', 5.4139872)\n", "('Na+ [e0]', 34.9324073)\n", - "('Molybdate [e0]', 100.0)\n", - "('Zn2+ [e0]', 100.0)\n", - "('Ca2+ [e0]', 100.0)\n", - "('NH3 [e0]', 100.0)\n", - "('Phosphate [e0]', 100.0)\n", - "('Cl- [e0]', 100.0)\n", - "('Mn2+ [e0]', 100.0)\n", - "('Cu2+ [e0]', 100.0)\n", "('Mg [e0]', 100.0)\n", - "('K+ [e0]', 1.3415688)\n", "('H2O [e0]', 100.0)\n", - "('H+ [e0]', 100.0)\n", - "('Fe2+ [e0]', 100.0)\n", - "('Co2+ [e0]', 100.0)\n", - "MAX ATPM 23.801193202545846\n", - "biomass gDW 0.0032059199999999346 OD600 0.4007399999999918\n" + "('Nitrate [e0]', 9.03407482)\n", + "('Thiamin [e0]', 100.0)\n", + "('Mn2+ [e0]', 100.0)\n", + "('K+ [e0]', 1.3415688)\n", + "('Molybdate [e0]', 100.0)\n", + "('NH3 [e0]', 100.0)\n", + "('Ca2+ [e0]', 100.0)\n", + "MAX ATPM 13.730522070894999\n", + "biomass gDW 0.0032059199999995964 OD600 0.4007399999999495\n" ] }, { "data": { "text/plain": [ - "(, )" + "(, )" ] }, - "execution_count": 6, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -199,7 +364,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 12, "id": "b3128547-c9f1-4e83-8ff5-e8f9c2518bd9", "metadata": { "tags": [] @@ -209,7 +374,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "0.0004665599999999398 0.0032059199999999346\n" + "0.00046655999999994767 0.0032059199999995964\n" ] } ], @@ -219,11 +384,20 @@ "print(solution_acido_wt.fluxes['bio1'], solution_rhoda_wt.fluxes['bio1'])" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "e9966b3d-535f-4ec9-8952-159d165a004b", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "id": "ef7f3f9d-6b1f-499e-8bef-35feffb54bd5", "metadata": { - "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ @@ -232,7 +406,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 14, "id": "0c64b7e8-f2e9-4b98-9438-e60680c1dffb", "metadata": { "tags": [] @@ -242,8 +416,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 43/43 [00:07<00:00, 5.65it/s]\n", - "100%|██████████| 43/43 [00:07<00:00, 5.75it/s]\n" + "100%|██████████| 43/43 [00:07<00:00, 5.69it/s]\n", + "100%|██████████| 43/43 [00:07<00:00, 5.83it/s]\n" ] } ], @@ -254,7 +428,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 15, "id": "78fe20a9-95a5-4d43-9b5a-907bde2c6b37", "metadata": { "tags": [] @@ -309,663 +483,663 @@ " cpd00020_c0\n", " Pyruvate [c0]\n", " 1.0\n", - " 1.0\n", - " 1.0\n", - " 0.566667\n", - " -1.500000\n", - " -1.500000\n", - " -1.000000\n", - " -1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " -2.000000\n", + " -2.000000\n", + " -1.451613\n", + " -2.142857\n", " \n", " \n", " cpd00107_c0\n", " L-Leucine [c0]\n", " 1.0\n", - " 1.0\n", - " 3.0\n", - " 1.694444\n", - " -4.340909\n", - " -4.305556\n", - " -2.363636\n", - " -2.222222\n", + " 1.000000\n", + " 3.000000\n", + " 3.000000\n", + " -5.000000\n", + " -5.238095\n", + " -3.548387\n", + " -5.952381\n", " \n", " \n", " cpd00039_c0\n", " L-Lysine [c0]\n", " 1.0\n", - " 1.0\n", - " 5.0\n", - " 2.666667\n", - " -4.454545\n", - " -4.333333\n", - " -3.818182\n", - " -3.333333\n", + " 1.000000\n", + " 5.000000\n", + " 5.000000\n", + " -4.918919\n", + " -6.000000\n", + " -5.675676\n", + " -10.000000\n", " \n", " \n", " cpd00119_c0\n", " L-Histidine [c0]\n", " 1.0\n", - " 1.0\n", - " 11.0\n", - " 6.638889\n", - " -6.727273\n", - " -5.361111\n", - " -8.909091\n", - " -8.444444\n", + " 1.000000\n", + " 11.000000\n", + " 10.000000\n", + " -7.306306\n", + " -7.539683\n", + " -11.225225\n", + " -17.158730\n", " \n", " \n", " cpd00322_c0\n", " L-Isoleucine [c0]\n", " 1.0\n", - " 1.0\n", - " 4.0\n", - " 2.472222\n", - " -4.522727\n", - " -4.527778\n", - " -3.090909\n", - " -3.111111\n", + " 1.000000\n", + " 4.000000\n", + " 5.000000\n", + " -5.000000\n", + " -6.333333\n", + " -4.363636\n", + " -10.333333\n", " \n", " \n", " cpd00161_c0\n", " L-Threonine [c0]\n", " 1.0\n", - " 1.0\n", - " 3.0\n", - " 2.277778\n", - " -2.590909\n", - " -2.722222\n", - " -2.363636\n", - " -2.888889\n", + " 1.000000\n", + " 3.211538\n", + " 4.000000\n", + " -2.788462\n", + " -3.952381\n", + " -3.153846\n", + " -7.809524\n", " \n", " \n", " cpd00065_c0\n", " L-Tryptophan [c0]\n", " 1.0\n", - " 1.0\n", - " 13.0\n", - " 7.861111\n", - " -8.204545\n", - " -8.138889\n", - " -9.818182\n", - " -9.555556\n", + " 1.000000\n", + " 13.000000\n", + " 13.000000\n", + " -9.000000\n", + " -11.476190\n", + " -13.000000\n", + " -22.904762\n", " \n", " \n", " cpd00069_c0\n", " L-Tyrosine [c0]\n", " 1.0\n", - " 1.0\n", - " 9.0\n", - " 5.583333\n", - " -6.431818\n", - " -6.416667\n", - " -6.727273\n", - " -6.666667\n", + " 1.000000\n", + " 9.000000\n", + " 9.000000\n", + " -7.018018\n", + " -8.746032\n", + " -9.072072\n", + " -15.984127\n", " \n", " \n", " cpd00054_c0\n", " L-Serine [c0]\n", " 1.0\n", - " 1.0\n", - " 2.0\n", - " 1.305556\n", - " -1.659091\n", - " -1.694444\n", - " -1.636364\n", - " -1.777778\n", + " 1.000000\n", + " 2.000000\n", + " 2.000000\n", + " -2.000000\n", + " -2.190476\n", + " -2.225806\n", + " -3.761905\n", " \n", " \n", " cpd00060_c0\n", " L-Methionine [c0]\n", " 1.0\n", - " 1.0\n", - " 8.0\n", - " 3.500000\n", - " -7.295455\n", - " -5.500000\n", - " -6.181818\n", - " -4.000000\n", + " 1.000000\n", + " 8.000000\n", + " 7.000000\n", + " -8.108108\n", + " -8.000000\n", + " -9.432432\n", + " -14.000000\n", " \n", " \n", " cpd00084_c0\n", " L-Cysteine [c0]\n", " 1.0\n", - " 1.0\n", - " 4.0\n", - " 1.361111\n", - " -2.977273\n", - " -2.638889\n", - " -2.909091\n", - " -1.555556\n", + " 1.000000\n", + " 4.000000\n", + " 3.000000\n", + " -3.351351\n", + " -3.809524\n", + " -4.405405\n", + " -6.238095\n", " \n", " \n", " cpd00051_c0\n", " L-Arginine [c0]\n", " 1.0\n", - " 1.0\n", - " 7.0\n", - " 5.472222\n", - " -4.159091\n", - " -4.527778\n", - " -5.636364\n", - " -7.111111\n", + " 1.000000\n", + " 7.000000\n", + " 8.000000\n", + " -4.567568\n", + " -6.333333\n", + " -7.270270\n", + " -14.333333\n", " \n", " \n", " cpd00132_c0\n", " L-Asparagine [c0]\n", " 1.0\n", - " 1.0\n", - " 3.0\n", - " 1.833333\n", - " -2.136364\n", - " -2.166667\n", - " -2.545455\n", - " -2.666667\n", + " 1.000000\n", + " 3.000000\n", + " 3.000000\n", + " -2.351351\n", + " -3.000000\n", + " -3.405405\n", + " -6.000000\n", " \n", " \n", " cpd00041_c0\n", " L-Aspartate [c0]\n", " 1.0\n", - " 1.0\n", - " 2.0\n", - " 1.133333\n", - " -2.000000\n", - " -2.000000\n", - " -1.806452\n", - " -2.000000\n", + " 1.000000\n", + " 2.000000\n", + " 2.000000\n", + " -2.135135\n", + " -2.619048\n", + " -2.540541\n", + " -4.476190\n", " \n", " \n", " cpd00035_c0\n", " L-Alanine [c0]\n", " 1.0\n", - " 1.0\n", - " 1.0\n", - " 0.333333\n", - " -1.727273\n", - " -1.666667\n", - " -0.909091\n", - " -0.666667\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " -2.000000\n", + " -2.142857\n", + " -1.516129\n", + " -2.571429\n", " \n", " \n", " cpd00053_c0\n", " L-Glutamine [c0]\n", " 1.0\n", - " 1.0\n", - " 3.0\n", - " 2.027778\n", - " -2.886364\n", - " -2.972222\n", - " -2.545455\n", - " -2.888889\n", + " 1.000000\n", + " 3.000000\n", + " 3.000000\n", + " -3.054054\n", + " -3.666667\n", + " -3.216216\n", + " -5.666667\n", " \n", " \n", " cpd00023_c0\n", " L-Glutamate [c0]\n", " 1.0\n", - " 1.0\n", - " 3.0\n", - " 2.027778\n", - " -2.886364\n", - " -2.972222\n", - " -2.545455\n", - " -2.888889\n", + " 1.000000\n", + " 3.000000\n", + " 3.000000\n", + " -3.054054\n", + " -3.666667\n", + " -3.216216\n", + " -5.666667\n", " \n", " \n", " cpd00033_c0\n", " Glycine [c0]\n", " 1.0\n", - " 1.0\n", - " 2.0\n", - " 1.694444\n", - " -1.159091\n", - " -1.305556\n", - " -1.636364\n", - " -2.222222\n", + " 1.000000\n", + " 2.463415\n", + " 3.000000\n", + " -1.536585\n", + " -2.238095\n", + " -2.609756\n", + " -5.952381\n", " \n", " \n", " cpd00156_c0\n", " L-Valine [c0]\n", " 1.0\n", - " 1.0\n", - " 2.0\n", - " 0.722222\n", - " -3.409091\n", - " -3.277778\n", - " -1.636364\n", - " -1.111111\n", + " 1.000000\n", + " 2.000000\n", + " 2.000000\n", + " -4.000000\n", + " -4.190476\n", + " -2.838710\n", + " -4.761905\n", " \n", " \n", " cpd00129_c0\n", " L-Proline [c0]\n", " 1.0\n", - " 1.0\n", - " 3.0\n", - " 1.694444\n", - " -3.340909\n", - " -3.305556\n", - " -2.363636\n", - " -2.222222\n", + " 1.000000\n", + " 3.000000\n", + " 3.000000\n", + " -3.594595\n", + " -4.238095\n", + " -3.378378\n", + " -5.952381\n", " \n", " \n", " cpd00066_c0\n", " L-Phenylalanine [c0]\n", " 1.0\n", - " 1.0\n", - " 9.0\n", - " 5.388889\n", - " -6.681818\n", - " -6.611111\n", - " -6.727273\n", - " -6.444444\n", + " 1.000000\n", + " 9.000000\n", + " 9.000000\n", + " -7.315315\n", + " -9.079365\n", + " -9.261261\n", + " -16.317460\n", " \n", " \n", " cpd00010_c0\n", " CoA [c0]\n", " 1.0\n", - " 1.0\n", - " 35.0\n", - " 21.944444\n", - " -21.727273\n", - " -19.055556\n", - " -26.909091\n", - " -26.222222\n", + " 1.000000\n", + " 35.000000\n", + " 33.000000\n", + " -23.819820\n", + " -26.730159\n", + " -35.279279\n", + " -56.920635\n", " \n", " \n", " cpd00118_c0\n", " Putrescine [c0]\n", " 1.0\n", - " 1.0\n", - " 4.0\n", - " 5.638889\n", - " -3.477273\n", - " -4.361111\n", - " -2.909091\n", - " -6.444444\n", + " 1.000000\n", + " 4.000000\n", + " 8.000000\n", + " -3.756757\n", + " -6.047619\n", + " -4.027027\n", + " -13.190476\n", " \n", " \n", " cpd00264_c0\n", " Spermidine [c0]\n", " 1.0\n", - " 1.0\n", - " 18.0\n", - " 9.333333\n", - " -14.272727\n", - " -7.666667\n", - " -13.090909\n", - " -10.666667\n", + " 1.000000\n", + " 18.000000\n", + " 14.000000\n", + " -15.711712\n", + " -10.777778\n", + " -18.846847\n", + " -23.111111\n", " \n", " \n", " cpd00056_c0\n", " TPP [c0]\n", " 1.0\n", - " 1.0\n", - " 4.0\n", - " 3.166667\n", - " -0.681818\n", - " -0.833333\n", - " -2.727273\n", - " -3.333333\n", + " 1.000000\n", + " 4.000000\n", + " 4.000000\n", + " -0.810811\n", + " -1.428571\n", + " -3.243243\n", + " -5.714286\n", " \n", " \n", " cpd00016_c0\n", " Pyridoxal phosphate [c0]\n", " 1.0\n", - " 1.0\n", - " 9.0\n", - " 5.388889\n", - " -5.681818\n", - " -5.611111\n", - " -6.727273\n", - " -6.444444\n", + " 1.000000\n", + " 9.000000\n", + " 9.000000\n", + " -6.252252\n", + " -7.968254\n", + " -9.009009\n", + " -15.873016\n", " \n", " \n", " cpd00003_c0\n", " NAD [c0]\n", " 1.0\n", - " 1.0\n", - " 31.0\n", - " 20.194444\n", - " -16.909091\n", - " -15.805556\n", - " -23.636364\n", - " -24.222222\n", + " 1.000000\n", + " 31.000000\n", + " 30.000000\n", + " -18.531532\n", + " -22.365079\n", + " -30.126126\n", + " -50.460317\n", " \n", " \n", " cpd00015_c0\n", " FAD [c0]\n", " 1.0\n", - " 1.0\n", - " 45.0\n", - " 29.888889\n", - " -20.295455\n", - " -21.111111\n", - " -34.181818\n", - " -36.444444\n", + " 1.000000\n", + " 45.000000\n", + " 45.000000\n", + " -22.495495\n", + " -31.015873\n", + " -42.981982\n", + " -76.063492\n", " \n", " \n", " cpd00042_c0\n", " GSH [c0]\n", " 1.0\n", - " 1.0\n", - " 9.0\n", - " 5.083333\n", - " -7.022727\n", - " -6.916667\n", - " -7.090909\n", - " -6.666667\n", + " 1.000000\n", + " 9.000000\n", + " 9.000000\n", + " -7.594595\n", + " -9.714286\n", + " -9.378378\n", + " -17.857143\n", " \n", " \n", " cpd03736_c0\n", " Lauroyl-KDO2-lipid IV(A) [c0]\n", " 1.0\n", - " 1.0\n", - " 97.0\n", - " 58.888889\n", - " -78.818182\n", - " -78.111111\n", - " -71.272727\n", - " -68.444444\n", + " 0.997783\n", + " 97.000000\n", + " 96.784922\n", + " -85.531532\n", + " -103.991131\n", + " -98.126126\n", + " -172.505543\n", " \n", " \n", " cpd15352_c0\n", " 2-Demethylmenaquinone 8 [c0]\n", " 1.0\n", - " 1.0\n", - " 52.0\n", - " 29.944444\n", - " -42.704545\n", - " -42.055556\n", - " -37.818182\n", - " -35.222222\n", + " 1.000000\n", + " 52.000000\n", + " 44.000000\n", + " -47.126126\n", + " -51.984127\n", + " -55.504505\n", + " -74.936508\n", " \n", " \n", " cpd15793_c0\n", " Stearoylcardiolipin (B. subtilis) [c0]\n", " 1.0\n", - " 1.0\n", - " 82.0\n", - " 49.694444\n", - " -72.068182\n", - " -71.305556\n", - " -59.272727\n", - " -56.222222\n", + " 1.000000\n", + " 82.000000\n", + " 82.000000\n", + " -78.324324\n", + " -94.380952\n", + " -84.297297\n", + " -148.523810\n", " \n", " \n", " cpd00345_c0\n", " 5-Methyltetrahydrofolate [c0]\n", " 1.0\n", - " 1.0\n", - " 31.0\n", - " 20.500000\n", - " -17.136364\n", - " -16.500000\n", - " -24.545455\n", - " -27.000000\n", + " 1.000000\n", + " 31.000000\n", + " 30.000000\n", + " -18.864865\n", + " -22.952381\n", + " -31.459459\n", + " -52.809524\n", " \n", " \n", " cpd00087_c0\n", " Tetrahydrofolate [c0]\n", " 1.0\n", - " 1.0\n", - " 28.0\n", - " 19.333333\n", - " -13.750000\n", - " -14.666667\n", - " -22.000000\n", - " -10.266667\n", + " 1.000000\n", + " 28.000000\n", + " 28.000000\n", + " -15.216216\n", + " -20.523810\n", + " -27.864865\n", + " -49.095238\n", " \n", " \n", " cpd00201_c0\n", " 10-Formyltetrahydrofolate [c0]\n", " 1.0\n", - " 1.0\n", - " 31.0\n", - " 20.888889\n", - " -16.636364\n", - " -16.111111\n", - " -24.545455\n", - " -27.444444\n", + " 1.000000\n", + " 31.000000\n", + " 30.000000\n", + " -18.270270\n", + " -22.285714\n", + " -31.081081\n", + " -52.142857\n", " \n", " \n", " cpd00356_c0\n", " dCTP [c0]\n", " 1.0\n", - " 1.0\n", - " 16.0\n", - " 10.694444\n", - " -6.909091\n", - " -7.305556\n", - " -11.636364\n", - " -13.222222\n", + " 1.000000\n", + " 16.000000\n", + " 16.000000\n", + " -7.900901\n", + " -10.873016\n", + " -15.603604\n", + " -27.492063\n", " \n", " \n", " cpd00357_c0\n", " TTP [c0]\n", " 1.0\n", - " 1.0\n", - " 18.0\n", - " 11.138889\n", - " -10.068182\n", - " -8.861111\n", - " -13.272727\n", - " -13.444444\n", + " 1.000000\n", + " 18.000000\n", + " 17.000000\n", + " -11.279279\n", + " -12.825397\n", + " -18.117117\n", + " -29.301587\n", " \n", " \n", " cpd00241_c0\n", " dGTP [c0]\n", " 1.0\n", - " 1.0\n", - " 22.0\n", - " 15.055556\n", - " -9.931818\n", - " -8.944444\n", - " -16.727273\n", - " -17.777778\n", + " 1.000000\n", + " 22.000000\n", + " 21.000000\n", + " -10.927928\n", + " -12.968254\n", + " -20.711712\n", + " -33.873016\n", " \n", " \n", " cpd00115_c0\n", " dATP [c0]\n", " 1.0\n", - " 1.0\n", - " 22.0\n", - " 14.861111\n", - " -10.181818\n", - " -9.138889\n", - " -16.727273\n", - " -17.555556\n", + " 1.000000\n", + " 22.000000\n", + " 21.000000\n", + " -11.225225\n", + " -13.301587\n", + " -20.900901\n", + " -34.206349\n", " \n", " \n", " cpd00038_c0\n", " GTP [c0]\n", " 1.0\n", - " 1.0\n", - " 22.0\n", - " 15.250000\n", - " -9.681818\n", - " -8.750000\n", - " -16.727273\n", - " -18.000000\n", + " 1.000000\n", + " 22.000000\n", + " 21.000000\n", + " -10.630631\n", + " -12.634921\n", + " -20.522523\n", + " -33.539683\n", " \n", " \n", " cpd00052_c0\n", " CTP [c0]\n", " 1.0\n", - " 1.0\n", - " 16.0\n", - " 10.888889\n", - " -6.659091\n", - " -7.111111\n", - " -11.636364\n", - " -13.444444\n", + " 1.000000\n", + " 16.000000\n", + " 16.000000\n", + " -7.603604\n", + " -10.539683\n", + " -15.414414\n", + " -27.158730\n", " \n", " \n", " cpd00062_c0\n", " UTP [c0]\n", " 1.0\n", - " 1.0\n", - " 15.0\n", - " 10.166667\n", - " -6.431818\n", - " -6.833333\n", - " -10.727273\n", - " -12.333333\n", + " 1.000000\n", + " 15.000000\n", + " 15.000000\n", + " -7.333333\n", + " -10.063492\n", + " -14.333333\n", + " -25.253968\n", " \n", " \n", " cpd00002_c0\n", " ATP [c0]\n", " 1.0\n", - " 1.0\n", - " 22.0\n", - " 15.055556\n", - " -9.931818\n", - " -8.944444\n", - " -16.727273\n", - " -17.777778\n", + " 1.000000\n", + " 22.000000\n", + " 21.000000\n", + " -10.927928\n", + " -12.968254\n", + " -20.711712\n", + " -33.873016\n", " \n", " \n", "\n", "" ], "text/plain": [ - " cpd_name 3H11 R12 3H11 (ATP) \\\n", - "cpd_id \n", - "cpd00020_c0 Pyruvate [c0] 1.0 1.0 1.0 \n", - "cpd00107_c0 L-Leucine [c0] 1.0 1.0 3.0 \n", - "cpd00039_c0 L-Lysine [c0] 1.0 1.0 5.0 \n", - "cpd00119_c0 L-Histidine [c0] 1.0 1.0 11.0 \n", - "cpd00322_c0 L-Isoleucine [c0] 1.0 1.0 4.0 \n", - "cpd00161_c0 L-Threonine [c0] 1.0 1.0 3.0 \n", - "cpd00065_c0 L-Tryptophan [c0] 1.0 1.0 13.0 \n", - "cpd00069_c0 L-Tyrosine [c0] 1.0 1.0 9.0 \n", - "cpd00054_c0 L-Serine [c0] 1.0 1.0 2.0 \n", - "cpd00060_c0 L-Methionine [c0] 1.0 1.0 8.0 \n", - "cpd00084_c0 L-Cysteine [c0] 1.0 1.0 4.0 \n", - "cpd00051_c0 L-Arginine [c0] 1.0 1.0 7.0 \n", - "cpd00132_c0 L-Asparagine [c0] 1.0 1.0 3.0 \n", - "cpd00041_c0 L-Aspartate [c0] 1.0 1.0 2.0 \n", - "cpd00035_c0 L-Alanine [c0] 1.0 1.0 1.0 \n", - "cpd00053_c0 L-Glutamine [c0] 1.0 1.0 3.0 \n", - "cpd00023_c0 L-Glutamate [c0] 1.0 1.0 3.0 \n", - "cpd00033_c0 Glycine [c0] 1.0 1.0 2.0 \n", - "cpd00156_c0 L-Valine [c0] 1.0 1.0 2.0 \n", - "cpd00129_c0 L-Proline [c0] 1.0 1.0 3.0 \n", - "cpd00066_c0 L-Phenylalanine [c0] 1.0 1.0 9.0 \n", - "cpd00010_c0 CoA [c0] 1.0 1.0 35.0 \n", - "cpd00118_c0 Putrescine [c0] 1.0 1.0 4.0 \n", - "cpd00264_c0 Spermidine [c0] 1.0 1.0 18.0 \n", - "cpd00056_c0 TPP [c0] 1.0 1.0 4.0 \n", - "cpd00016_c0 Pyridoxal phosphate [c0] 1.0 1.0 9.0 \n", - "cpd00003_c0 NAD [c0] 1.0 1.0 31.0 \n", - "cpd00015_c0 FAD [c0] 1.0 1.0 45.0 \n", - "cpd00042_c0 GSH [c0] 1.0 1.0 9.0 \n", - "cpd03736_c0 Lauroyl-KDO2-lipid IV(A) [c0] 1.0 1.0 97.0 \n", - "cpd15352_c0 2-Demethylmenaquinone 8 [c0] 1.0 1.0 52.0 \n", - "cpd15793_c0 Stearoylcardiolipin (B. subtilis) [c0] 1.0 1.0 82.0 \n", - "cpd00345_c0 5-Methyltetrahydrofolate [c0] 1.0 1.0 31.0 \n", - "cpd00087_c0 Tetrahydrofolate [c0] 1.0 1.0 28.0 \n", - "cpd00201_c0 10-Formyltetrahydrofolate [c0] 1.0 1.0 31.0 \n", - "cpd00356_c0 dCTP [c0] 1.0 1.0 16.0 \n", - "cpd00357_c0 TTP [c0] 1.0 1.0 18.0 \n", - "cpd00241_c0 dGTP [c0] 1.0 1.0 22.0 \n", - "cpd00115_c0 dATP [c0] 1.0 1.0 22.0 \n", - "cpd00038_c0 GTP [c0] 1.0 1.0 22.0 \n", - "cpd00052_c0 CTP [c0] 1.0 1.0 16.0 \n", - "cpd00062_c0 UTP [c0] 1.0 1.0 15.0 \n", - "cpd00002_c0 ATP [c0] 1.0 1.0 22.0 \n", + " cpd_name 3H11 R12 \\\n", + "cpd_id \n", + "cpd00020_c0 Pyruvate [c0] 1.0 1.000000 \n", + "cpd00107_c0 L-Leucine [c0] 1.0 1.000000 \n", + "cpd00039_c0 L-Lysine [c0] 1.0 1.000000 \n", + "cpd00119_c0 L-Histidine [c0] 1.0 1.000000 \n", + "cpd00322_c0 L-Isoleucine [c0] 1.0 1.000000 \n", + "cpd00161_c0 L-Threonine [c0] 1.0 1.000000 \n", + "cpd00065_c0 L-Tryptophan [c0] 1.0 1.000000 \n", + "cpd00069_c0 L-Tyrosine [c0] 1.0 1.000000 \n", + "cpd00054_c0 L-Serine [c0] 1.0 1.000000 \n", + "cpd00060_c0 L-Methionine [c0] 1.0 1.000000 \n", + "cpd00084_c0 L-Cysteine [c0] 1.0 1.000000 \n", + "cpd00051_c0 L-Arginine [c0] 1.0 1.000000 \n", + "cpd00132_c0 L-Asparagine [c0] 1.0 1.000000 \n", + "cpd00041_c0 L-Aspartate [c0] 1.0 1.000000 \n", + "cpd00035_c0 L-Alanine [c0] 1.0 1.000000 \n", + "cpd00053_c0 L-Glutamine [c0] 1.0 1.000000 \n", + "cpd00023_c0 L-Glutamate [c0] 1.0 1.000000 \n", + "cpd00033_c0 Glycine [c0] 1.0 1.000000 \n", + "cpd00156_c0 L-Valine [c0] 1.0 1.000000 \n", + "cpd00129_c0 L-Proline [c0] 1.0 1.000000 \n", + "cpd00066_c0 L-Phenylalanine [c0] 1.0 1.000000 \n", + "cpd00010_c0 CoA [c0] 1.0 1.000000 \n", + "cpd00118_c0 Putrescine [c0] 1.0 1.000000 \n", + "cpd00264_c0 Spermidine [c0] 1.0 1.000000 \n", + "cpd00056_c0 TPP [c0] 1.0 1.000000 \n", + "cpd00016_c0 Pyridoxal phosphate [c0] 1.0 1.000000 \n", + "cpd00003_c0 NAD [c0] 1.0 1.000000 \n", + "cpd00015_c0 FAD [c0] 1.0 1.000000 \n", + "cpd00042_c0 GSH [c0] 1.0 1.000000 \n", + "cpd03736_c0 Lauroyl-KDO2-lipid IV(A) [c0] 1.0 0.997783 \n", + "cpd15352_c0 2-Demethylmenaquinone 8 [c0] 1.0 1.000000 \n", + "cpd15793_c0 Stearoylcardiolipin (B. subtilis) [c0] 1.0 1.000000 \n", + "cpd00345_c0 5-Methyltetrahydrofolate [c0] 1.0 1.000000 \n", + "cpd00087_c0 Tetrahydrofolate [c0] 1.0 1.000000 \n", + "cpd00201_c0 10-Formyltetrahydrofolate [c0] 1.0 1.000000 \n", + "cpd00356_c0 dCTP [c0] 1.0 1.000000 \n", + "cpd00357_c0 TTP [c0] 1.0 1.000000 \n", + "cpd00241_c0 dGTP [c0] 1.0 1.000000 \n", + "cpd00115_c0 dATP [c0] 1.0 1.000000 \n", + "cpd00038_c0 GTP [c0] 1.0 1.000000 \n", + "cpd00052_c0 CTP [c0] 1.0 1.000000 \n", + "cpd00062_c0 UTP [c0] 1.0 1.000000 \n", + "cpd00002_c0 ATP [c0] 1.0 1.000000 \n", "\n", - " R12 (ATP) 3H11 (acetate) R12 (acetate) 3H11 (nitrate) \\\n", - "cpd_id \n", - "cpd00020_c0 0.566667 -1.500000 -1.500000 -1.000000 \n", - "cpd00107_c0 1.694444 -4.340909 -4.305556 -2.363636 \n", - "cpd00039_c0 2.666667 -4.454545 -4.333333 -3.818182 \n", - "cpd00119_c0 6.638889 -6.727273 -5.361111 -8.909091 \n", - "cpd00322_c0 2.472222 -4.522727 -4.527778 -3.090909 \n", - "cpd00161_c0 2.277778 -2.590909 -2.722222 -2.363636 \n", - "cpd00065_c0 7.861111 -8.204545 -8.138889 -9.818182 \n", - "cpd00069_c0 5.583333 -6.431818 -6.416667 -6.727273 \n", - "cpd00054_c0 1.305556 -1.659091 -1.694444 -1.636364 \n", - "cpd00060_c0 3.500000 -7.295455 -5.500000 -6.181818 \n", - "cpd00084_c0 1.361111 -2.977273 -2.638889 -2.909091 \n", - "cpd00051_c0 5.472222 -4.159091 -4.527778 -5.636364 \n", - "cpd00132_c0 1.833333 -2.136364 -2.166667 -2.545455 \n", - "cpd00041_c0 1.133333 -2.000000 -2.000000 -1.806452 \n", - "cpd00035_c0 0.333333 -1.727273 -1.666667 -0.909091 \n", - "cpd00053_c0 2.027778 -2.886364 -2.972222 -2.545455 \n", - "cpd00023_c0 2.027778 -2.886364 -2.972222 -2.545455 \n", - "cpd00033_c0 1.694444 -1.159091 -1.305556 -1.636364 \n", - "cpd00156_c0 0.722222 -3.409091 -3.277778 -1.636364 \n", - "cpd00129_c0 1.694444 -3.340909 -3.305556 -2.363636 \n", - "cpd00066_c0 5.388889 -6.681818 -6.611111 -6.727273 \n", - "cpd00010_c0 21.944444 -21.727273 -19.055556 -26.909091 \n", - "cpd00118_c0 5.638889 -3.477273 -4.361111 -2.909091 \n", - "cpd00264_c0 9.333333 -14.272727 -7.666667 -13.090909 \n", - "cpd00056_c0 3.166667 -0.681818 -0.833333 -2.727273 \n", - "cpd00016_c0 5.388889 -5.681818 -5.611111 -6.727273 \n", - "cpd00003_c0 20.194444 -16.909091 -15.805556 -23.636364 \n", - "cpd00015_c0 29.888889 -20.295455 -21.111111 -34.181818 \n", - "cpd00042_c0 5.083333 -7.022727 -6.916667 -7.090909 \n", - "cpd03736_c0 58.888889 -78.818182 -78.111111 -71.272727 \n", - "cpd15352_c0 29.944444 -42.704545 -42.055556 -37.818182 \n", - "cpd15793_c0 49.694444 -72.068182 -71.305556 -59.272727 \n", - "cpd00345_c0 20.500000 -17.136364 -16.500000 -24.545455 \n", - "cpd00087_c0 19.333333 -13.750000 -14.666667 -22.000000 \n", - "cpd00201_c0 20.888889 -16.636364 -16.111111 -24.545455 \n", - "cpd00356_c0 10.694444 -6.909091 -7.305556 -11.636364 \n", - "cpd00357_c0 11.138889 -10.068182 -8.861111 -13.272727 \n", - "cpd00241_c0 15.055556 -9.931818 -8.944444 -16.727273 \n", - "cpd00115_c0 14.861111 -10.181818 -9.138889 -16.727273 \n", - "cpd00038_c0 15.250000 -9.681818 -8.750000 -16.727273 \n", - "cpd00052_c0 10.888889 -6.659091 -7.111111 -11.636364 \n", - "cpd00062_c0 10.166667 -6.431818 -6.833333 -10.727273 \n", - "cpd00002_c0 15.055556 -9.931818 -8.944444 -16.727273 \n", + " 3H11 (ATP) R12 (ATP) 3H11 (acetate) R12 (acetate) \\\n", + "cpd_id \n", + "cpd00020_c0 1.000000 1.000000 -2.000000 -2.000000 \n", + "cpd00107_c0 3.000000 3.000000 -5.000000 -5.238095 \n", + "cpd00039_c0 5.000000 5.000000 -4.918919 -6.000000 \n", + "cpd00119_c0 11.000000 10.000000 -7.306306 -7.539683 \n", + "cpd00322_c0 4.000000 5.000000 -5.000000 -6.333333 \n", + "cpd00161_c0 3.211538 4.000000 -2.788462 -3.952381 \n", + "cpd00065_c0 13.000000 13.000000 -9.000000 -11.476190 \n", + "cpd00069_c0 9.000000 9.000000 -7.018018 -8.746032 \n", + "cpd00054_c0 2.000000 2.000000 -2.000000 -2.190476 \n", + "cpd00060_c0 8.000000 7.000000 -8.108108 -8.000000 \n", + "cpd00084_c0 4.000000 3.000000 -3.351351 -3.809524 \n", + "cpd00051_c0 7.000000 8.000000 -4.567568 -6.333333 \n", + "cpd00132_c0 3.000000 3.000000 -2.351351 -3.000000 \n", + "cpd00041_c0 2.000000 2.000000 -2.135135 -2.619048 \n", + "cpd00035_c0 1.000000 1.000000 -2.000000 -2.142857 \n", + "cpd00053_c0 3.000000 3.000000 -3.054054 -3.666667 \n", + "cpd00023_c0 3.000000 3.000000 -3.054054 -3.666667 \n", + "cpd00033_c0 2.463415 3.000000 -1.536585 -2.238095 \n", + "cpd00156_c0 2.000000 2.000000 -4.000000 -4.190476 \n", + "cpd00129_c0 3.000000 3.000000 -3.594595 -4.238095 \n", + "cpd00066_c0 9.000000 9.000000 -7.315315 -9.079365 \n", + "cpd00010_c0 35.000000 33.000000 -23.819820 -26.730159 \n", + "cpd00118_c0 4.000000 8.000000 -3.756757 -6.047619 \n", + "cpd00264_c0 18.000000 14.000000 -15.711712 -10.777778 \n", + "cpd00056_c0 4.000000 4.000000 -0.810811 -1.428571 \n", + "cpd00016_c0 9.000000 9.000000 -6.252252 -7.968254 \n", + "cpd00003_c0 31.000000 30.000000 -18.531532 -22.365079 \n", + "cpd00015_c0 45.000000 45.000000 -22.495495 -31.015873 \n", + "cpd00042_c0 9.000000 9.000000 -7.594595 -9.714286 \n", + "cpd03736_c0 97.000000 96.784922 -85.531532 -103.991131 \n", + "cpd15352_c0 52.000000 44.000000 -47.126126 -51.984127 \n", + "cpd15793_c0 82.000000 82.000000 -78.324324 -94.380952 \n", + "cpd00345_c0 31.000000 30.000000 -18.864865 -22.952381 \n", + "cpd00087_c0 28.000000 28.000000 -15.216216 -20.523810 \n", + "cpd00201_c0 31.000000 30.000000 -18.270270 -22.285714 \n", + "cpd00356_c0 16.000000 16.000000 -7.900901 -10.873016 \n", + "cpd00357_c0 18.000000 17.000000 -11.279279 -12.825397 \n", + "cpd00241_c0 22.000000 21.000000 -10.927928 -12.968254 \n", + "cpd00115_c0 22.000000 21.000000 -11.225225 -13.301587 \n", + "cpd00038_c0 22.000000 21.000000 -10.630631 -12.634921 \n", + "cpd00052_c0 16.000000 16.000000 -7.603604 -10.539683 \n", + "cpd00062_c0 15.000000 15.000000 -7.333333 -10.063492 \n", + "cpd00002_c0 22.000000 21.000000 -10.927928 -12.968254 \n", "\n", - " R12 (nitrate) \n", - "cpd_id \n", - "cpd00020_c0 -1.000000 \n", - "cpd00107_c0 -2.222222 \n", - "cpd00039_c0 -3.333333 \n", - "cpd00119_c0 -8.444444 \n", - "cpd00322_c0 -3.111111 \n", - "cpd00161_c0 -2.888889 \n", - "cpd00065_c0 -9.555556 \n", - "cpd00069_c0 -6.666667 \n", - "cpd00054_c0 -1.777778 \n", - "cpd00060_c0 -4.000000 \n", - "cpd00084_c0 -1.555556 \n", - "cpd00051_c0 -7.111111 \n", - "cpd00132_c0 -2.666667 \n", - "cpd00041_c0 -2.000000 \n", - "cpd00035_c0 -0.666667 \n", - "cpd00053_c0 -2.888889 \n", - "cpd00023_c0 -2.888889 \n", - "cpd00033_c0 -2.222222 \n", - "cpd00156_c0 -1.111111 \n", - "cpd00129_c0 -2.222222 \n", - "cpd00066_c0 -6.444444 \n", - "cpd00010_c0 -26.222222 \n", - "cpd00118_c0 -6.444444 \n", - "cpd00264_c0 -10.666667 \n", - "cpd00056_c0 -3.333333 \n", - "cpd00016_c0 -6.444444 \n", - "cpd00003_c0 -24.222222 \n", - "cpd00015_c0 -36.444444 \n", - "cpd00042_c0 -6.666667 \n", - "cpd03736_c0 -68.444444 \n", - "cpd15352_c0 -35.222222 \n", - "cpd15793_c0 -56.222222 \n", - "cpd00345_c0 -27.000000 \n", - "cpd00087_c0 -10.266667 \n", - "cpd00201_c0 -27.444444 \n", - "cpd00356_c0 -13.222222 \n", - "cpd00357_c0 -13.444444 \n", - "cpd00241_c0 -17.777778 \n", - "cpd00115_c0 -17.555556 \n", - "cpd00038_c0 -18.000000 \n", - "cpd00052_c0 -13.444444 \n", - "cpd00062_c0 -12.333333 \n", - "cpd00002_c0 -17.777778 " + " 3H11 (nitrate) R12 (nitrate) \n", + "cpd_id \n", + "cpd00020_c0 -1.451613 -2.142857 \n", + "cpd00107_c0 -3.548387 -5.952381 \n", + "cpd00039_c0 -5.675676 -10.000000 \n", + "cpd00119_c0 -11.225225 -17.158730 \n", + "cpd00322_c0 -4.363636 -10.333333 \n", + "cpd00161_c0 -3.153846 -7.809524 \n", + "cpd00065_c0 -13.000000 -22.904762 \n", + "cpd00069_c0 -9.072072 -15.984127 \n", + "cpd00054_c0 -2.225806 -3.761905 \n", + "cpd00060_c0 -9.432432 -14.000000 \n", + "cpd00084_c0 -4.405405 -6.238095 \n", + "cpd00051_c0 -7.270270 -14.333333 \n", + "cpd00132_c0 -3.405405 -6.000000 \n", + "cpd00041_c0 -2.540541 -4.476190 \n", + "cpd00035_c0 -1.516129 -2.571429 \n", + "cpd00053_c0 -3.216216 -5.666667 \n", + "cpd00023_c0 -3.216216 -5.666667 \n", + "cpd00033_c0 -2.609756 -5.952381 \n", + "cpd00156_c0 -2.838710 -4.761905 \n", + "cpd00129_c0 -3.378378 -5.952381 \n", + "cpd00066_c0 -9.261261 -16.317460 \n", + "cpd00010_c0 -35.279279 -56.920635 \n", + "cpd00118_c0 -4.027027 -13.190476 \n", + "cpd00264_c0 -18.846847 -23.111111 \n", + "cpd00056_c0 -3.243243 -5.714286 \n", + "cpd00016_c0 -9.009009 -15.873016 \n", + "cpd00003_c0 -30.126126 -50.460317 \n", + "cpd00015_c0 -42.981982 -76.063492 \n", + "cpd00042_c0 -9.378378 -17.857143 \n", + "cpd03736_c0 -98.126126 -172.505543 \n", + "cpd15352_c0 -55.504505 -74.936508 \n", + "cpd15793_c0 -84.297297 -148.523810 \n", + "cpd00345_c0 -31.459459 -52.809524 \n", + "cpd00087_c0 -27.864865 -49.095238 \n", + "cpd00201_c0 -31.081081 -52.142857 \n", + "cpd00356_c0 -15.603604 -27.492063 \n", + "cpd00357_c0 -18.117117 -29.301587 \n", + "cpd00241_c0 -20.711712 -33.873016 \n", + "cpd00115_c0 -20.900901 -34.206349 \n", + "cpd00038_c0 -20.522523 -33.539683 \n", + "cpd00052_c0 -15.414414 -27.158730 \n", + "cpd00062_c0 -14.333333 -25.253968 \n", + "cpd00002_c0 -20.711712 -33.873016 " ] }, - "execution_count": 9, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -987,7 +1161,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 16, "id": "a20f787b-bd85-492d-8e3b-4d20c262152a", "metadata": { "tags": [] @@ -999,7 +1173,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 17, "id": "0839af10-ab8b-476d-b3a9-029f0ad723a6", "metadata": { "tags": [] @@ -1015,13 +1189,13 @@ " model\n", " \n", " Memory address\n", - " 7fa97d73c700\n", + " 7f9af3499180\n", " \n", " Number of metabolites\n", " 2401\n", " \n", " Number of reactions\n", - " 2598\n", + " 2596\n", " \n", " Number of genes\n", " 0\n", @@ -1038,10 +1212,10 @@ " " ], "text/plain": [ - "" + "" ] }, - "execution_count": 24, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -1064,7 +1238,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 18, "id": "2e15e87c-1dac-4148-86f9-02d4a08bb93f", "metadata": { "tags": [] @@ -1109,7 +1283,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 19, "id": "0265b408-f060-460d-8a54-bed25da5efc9", "metadata": { "scrolled": true, @@ -1119,7 +1293,7 @@ { "data": { "text/html": [ - "

Objective

1.0 bio1 = 0.071995232006628

Uptake

\n", + "

Objective

1.0 bio1 = 0.038780400480604854

Uptake

\n", " \n", " \n", " \n", @@ -1133,84 +1307,84 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1224,21 +1398,21 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1257,30 +1431,16 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1292,32 +1452,32 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", "
Metabolite
cpd00009_e0EX_cpd00009_e00.047590.0256300.00%
cpd00013_e0EX_cpd00013_e00.57610.310300.00%
cpd00029_e0EX_cpd00029_e08.9178.257299.99%100.00%
cpd00030_e0EX_cpd00030_e00.00011526.205E-0500.00%
cpd00034_e0EX_cpd00034_e00.00011526.205E-0500.00%
cpd00048_e0EX_cpd00048_e00.021510.00796900.00%
cpd00058_e0EX_cpd00058_e00.00011526.205E-0500.00%
cpd00063_e0EX_cpd00063_e00.00011526.205E-0500.00%
cpd00067_e0EX_cpd00067_e020.452000.00%
cpd00099_e0EX_cpd00099_e00.00011526.205E-0500.00%
cpd00149_e0EX_cpd00149_e00.00011526.205E-0500.00%
cpd00205_e0EX_cpd00205_e00.00011526.205E-0500.00%
cpd00254_e0EX_cpd00254_e00.00011526.205E-0500.00%
cpd00305_e0EX_cpd00305_e00.00011526.205E-05120.01%0.00%
cpd10515_e0EX_cpd10515_e00.00046080.000248200.00%
cpd00001_e0EX_cpd00001_e0-22.7-21.9100.00%
cpd00011_e0EX_cpd00011_e0-15.27199.93%
cpd00047_e0EX_cpd00047_e0-0.0013210.01%
cpd00324_e0EX_cpd00324_e0-0.006721-15.1410.04%99.99%
cpd00528_e0
cpd01981_e0EX_cpd01981_e0-4.608E-05-2.482E-0560.00%
cpd03091_cASK_cpd03091_cA-9.216E-05-4.964E-05100.01%0.00%
cpd03091_cRSK_cpd03091_cR-0.0001382-7.446E-05100.01%0.00%
" ], "text/plain": [ - "" + "" ] }, - "execution_count": 26, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -1330,11 +1490,16 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "id": "89759b06-ce79-425d-9ffd-bfd8f4c7aad2", - "metadata": {}, + "metadata": { + "tags": [] + }, "outputs": [], - "source": [] + "source": [ + "model_comm.reactions.ATPM_cA.lower_bound = 0\n", + "model_comm.reactions.ATPM_cR.lower_bound = 0" + ] }, { "cell_type": "markdown", @@ -1348,7 +1513,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 54, "id": "3aaf74ba-ea17-45e2-9f73-e82ffe3ab286", "metadata": { "tags": [] @@ -1358,7 +1523,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 41/41 [00:13<00:00, 2.94it/s]\n" + "100%|██████████| 41/41 [00:17<00:00, 2.31it/s]\n" ] } ], @@ -1383,7 +1548,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 55, "id": 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" ] @@ -1446,7 +1611,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 56, "id": "2ebfcee3-ea4d-4f92-989f-9412bc8dcad0", "metadata": { "tags": [] @@ -1569,7 +1734,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 57, "id": "e1c2d9cf-eb51-4bd1-9caa-6993c9cc7328", "metadata": { "tags": [] @@ -1577,7 +1742,7 @@ "outputs": [ { "data": { - "image/png": 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", "text/plain": [ "
" ] @@ -1596,7 +1761,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 21, "id": "728241cf-1f74-48bb-b951-e581b80e7cf7", "metadata": { "tags": [] @@ -1608,7 +1773,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 22, "id": "82eeee88-5697-4387-97f4-ab833d00b283", "metadata": { "tags": [] @@ -1620,7 +1785,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 23, "id": "13f225b5-2e46-4446-9ec0-e6a5c2b64584", "metadata": { "tags": [] @@ -1630,16 +1795,6 @@ "atpm_max_cA_isolate, atpm_max_cR_isolate, time_steps, expected_growth_60R_40A, rates = comm_plots.constants()" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "54603b66-a597-4743-86d6-98f89693a9b6", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "id": "8e6fa73d-eb45-4c09-93cc-7d0b41cf0b4b", @@ -1650,9 +1805,13 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 24, "id": "db89ad80-a555-4a32-a496-04f9e8a2e5e6", "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + }, "tags": [] }, "outputs": [ @@ -1660,34 +1819,34 @@ "name": "stdout", "output_type": "stream", "text": [ - "0 GROWTH 0 ATPM, exceess 0.00024181595894612575 0.00023783091894612576\n", - "0 MAX isolate ATPM 0.043089880576308914 0.04315455545832608\n", - "1 GROWTH 0 ATPM, exceess 0.0023429918445492773 0.0022989809445492773\n", - "1 MAX isolate ATPM 0.4698918189506963 0.46987796748823346\n", - "2 GROWTH 0 ATPM, exceess 0.0038323571112274923 0.0037943738112274925\n", - "2 MAX isolate ATPM 0.7293626516807326 0.7293287805702215\n", - "3 GROWTH 0 ATPM, exceess 0.0012268888097429374 0.0012094088097429373\n", - "3 MAX isolate ATPM 0.18909052593399006 0.18909026667506554\n", - "4 GROWTH 0 ATPM, exceess 0.0011562582198229997 0.0011474682198229997\n", - "4 MAX isolate ATPM 0.17042155095487982 0.17042280866004475\n", - "5 GROWTH 0 ATPM, exceess 0.0004212424670850133 0.0004127314670850133\n", - "5 MAX isolate ATPM 0.07225696830409423 0.0722611972604818\n", - "6 GROWTH 0 ATPM, exceess 1.2819727238886472e-05 1.4281637238886471e-05\n", - "6 MAX isolate ATPM 0.00111280125 0.0011128012500000002\n", - "Acetate: -0.00796337 NO3 -0.015765185 NO2 -0.000300664 min community biomass 3.98504e-06 mATP 3H11 0.017235952230523568\n", - "Found solution mATP R12 0.025790144284648424 solution status optimal\n", - "Acetate: -0.077158311 NO3 -0.260613674 NO2 0 min community biomass 4.40109e-05 mATP 3H11 0.18795672758027854\n", - "Found solution mATP R12 0.2819128723430007 solution status optimal\n", - "Acetate: -0.126205391 NO3 -0.336007637 NO2 0 min community biomass 3.79833e-05 mATP 3H11 0.29174506067229306\n", - "Found solution mATP R12 0.4375922608807124 solution status optimal\n", - "Acetate: -0.047720639 NO3 0 NO2 -0.112949487 min community biomass 1.748e-05 mATP 3H11 0.07563621037359602\n", - "Found solution mATP R12 0.11345541532936516 solution status optimal\n", - "Acetate: -0.044917204 NO3 -0.00050591 NO2 -0.100448798 min community biomass 8.79e-06 mATP 3H11 0.06816862038195193\n", - "Found solution mATP R12 0.10225368473598587 solution status optimal\n", - "Acetate: -0.0163845 NO3 0 NO2 -0.06937439 min community biomass 8.511e-06 mATP 3H11 0.02890278732163769\n", - "Found solution mATP R12 0.043357024701074755 solution status optimal\n", - "Acetate: -0.018624539 NO3 -0.00033594 NO2 0 min community biomass -1.46191e-06 mATP 3H11 0.0004451205\n", - "Found solution mATP R12 0.00066768075 solution status optimal\n" + "0 GROWTH 0 ATPM, exceess 0.000191940582487443 0.000187955542487443\n", + "0 MAX isolate ATPM 0.028236221306551294 0.02827917896272114\n", + "1 GROWTH 0 ATPM, exceess 0.001888132577144598 0.001844121677144598\n", + "1 MAX isolate ATPM 0.3263038976206865 0.3263131002403429\n", + "2 GROWTH 0 ATPM, exceess 0.0030883582995792987 0.0030503749995792985\n", + "2 MAX isolate ATPM 0.49364711189283617 0.4936568490326416\n", + "3 GROWTH 0 ATPM, exceess 0.0008352460417363649 0.000817766041736365\n", + "3 MAX isolate ATPM 0.10946916214989552 0.10946899418676366\n", + "4 GROWTH 0 ATPM, exceess 0.0007878646456795466 0.0007790746456795467\n", + "4 MAX isolate ATPM 0.09910013596809789 0.09909932367559192\n", + "5 GROWTH 0 ATPM, exceess 0.000286775052840961 0.000278264052840961\n", + "5 MAX isolate ATPM 0.04174117533049241 0.04174231193192974\n", + "6 GROWTH 0 ATPM, exceess 7.509485040651564e-06 8.971395040651564e-06\n", + "6 MAX isolate ATPM 0.0007191215624999999 0.0007191215625000004\n", + "Acetate: -0.00796337 NO3 -0.015765185 NO2 -0.000300664 min community biomass 3.98504e-06 mATP 3H11 0.011294488522620518\n", + "Found solution mATP R12 0.016902451211401708 solution status optimal\n", + "Acetate: -0.077158311 NO3 -0.260613674 NO2 0 min community biomass 4.40109e-05 mATP 3H11 0.13052155904827462\n", + "Found solution mATP R12 0.19578287463879898 solution status optimal\n", + "Acetate: -0.126205391 NO3 -0.336007637 NO2 0 min community biomass 3.79833e-05 mATP 3H11 0.1974588447571345\n", + "Found solution mATP R12 0.2961847759381984 solution status optimal\n", + "Acetate: -0.047720639 NO3 0 NO2 -0.112949487 min community biomass 1.748e-05 mATP 3H11 0.04378766485995821\n", + "Found solution mATP R12 0.0656852387723718 solution status optimal\n", + "Acetate: -0.044917204 NO3 -0.00050591 NO2 -0.100448798 min community biomass 8.79e-06 mATP 3H11 0.03964005438723916\n", + "Found solution mATP R12 0.059461172230438786 solution status optimal\n", + "Acetate: -0.0163845 NO3 0 NO2 -0.06937439 min community biomass 8.511e-06 mATP 3H11 0.016696470132196963\n", + "Found solution mATP R12 0.02505557834614912 solution status optimal\n", + "Acetate: -0.018624539 NO3 -0.00033594 NO2 0 min community biomass -1.46191e-06 mATP 3H11 0.000287648625\n", + "Found solution mATP R12 0.0004314729374999997 solution status optimal\n" ] } ], @@ -1700,7 +1859,19 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 25, + "id": "5105c351-3b3b-4894-9e06-559c3d99c616", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "model_comm.reactions.rxn05161_cA.upper_bound = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 26, "id": "5cdab260-925e-408a-b259-8dfb311e66fd", "metadata": { "tags": [] @@ -1710,20 +1881,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "0 -0.01725990643286713\n", - "1 -0.18798095742879492\n", - "2 -0.2917459646740326\n", - "3 -0.07563495405740918\n", - "4 -0.06816803312546624\n", - "5 -0.02889911343202695\n", - "6 -0.0004451205000000019\n", - "0 -0.0035125830885430476\n", - "1 -0.037590086983591\n", - "2 -0.05835936915491746\n", - "3 -0.01512691715760607\n", - "4 -0.013633911985842191\n", - "5 -0.005779358980663875\n", - "6 -8.902410000000035e-05\n" + "0 -0.003941886229052335\n", + "1 -0.03810201543424074\n", + "2 -0.0626926377796009\n", + "3 -0.016843006085919782\n", + "4 -0.015246533377311711\n", + "5 -0.006421283066603402\n", + "6 -0.00010822331801470589\n", + "0 -0.0008820650746455874\n", + "1 -0.010049925127867594\n", + "2 -0.015199358853101417\n", + "3 -0.003370306553362821\n", + "4 -0.0030499975721388047\n", + "5 -0.001282549398107594\n", + "6 -2.212681730769256e-05\n" ] } ], @@ -1734,7 +1905,30 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 27, + "id": "117353df-6450-4f90-8f29-1db4fb15ae6a", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(-0.006421283066603402, 0.006421283066603402, 0.0)" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "solution_leucine_50[5].fluxes['LeuE_cA'], solution_leucine_50[5].fluxes['rxn05161_cR'], solution_leucine_50[5].fluxes['rxn05161_cA']" + ] + }, + { + "cell_type": "code", + "execution_count": 28, "id": "c7a9b570-8dda-4893-9990-e23ac63cf578", "metadata": { "tags": [] @@ -1746,7 +1940,7 @@ }, { "cell_type": "code", - 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" ] @@ -1776,7 +1970,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 30, "id": "6f98d2d0-cc23-4501-8d04-bf9f8b908280", "metadata": { "tags": [] @@ -1786,18 +1980,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "0.017235952230523568 0.025790144284648424\n", - "0.18795672758027854 0.2819128723430007\n", - "0.29174506067229306 0.4375922608807124\n", - "0.07563621037359602 0.11345541532936516\n", - "0.06816862038195193 0.10225368473598587\n", - "0.02890278732163769 0.043357024701074755\n", - "0.0004451205 0.00066768075\n" + "0.011294488522620518 0.016902451211401708\n", + "0.13052155904827462 0.19578287463879898\n", + "0.1974588447571345 0.2961847759381984\n", + "0.04378766485995821 0.0656852387723718\n", + "0.03964005438723916 0.059461172230438786\n", + "0.016696470132196963 0.02505557834614912\n", + "0.000287648625 0.0004314729374999997\n" ] }, { "data": { - "image/png": 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8dNpGpC6ah1Pb10raaMq11JvEWP6ebUhdNA8ntvwkyU379FWkLpqHBmOVGCs88DtSF81D1q8/SHJ3ff4mUhfNg6miVIyVHNmD1EXzkLk2UZK7+6t3kbpoHowlBWKs7PgBpC6ah8Orv5DkZiR+iNRF86A/kyPGKk9lInXRPBxcuUSSu/+HxUhdNA9VudlirDr/JFIXzcO+5R9Lcg/9tBSpi+ah/PhhMWYsykfqonnY+/X7ktwja75B6qJ5KM3cJ8ZM5UVIXTQP6cviJbnH1i1H6qJ5KDq0S4zVV1cgddE87FzyhiQ3e+MqpC6ahzMZO8SY2WRE6qJ5+O2TVyS5J7etQeqiecjbtVmMWc11Yn8KNpsYz/ltPVIXzUPub+vFmGCzNo8Tc50Yz9u1GamL5p23Ysfvn8y3932NQYydydiB1EXzkL1xlSR355I3kLpoHuqqy8VY0aFdSF00D8fWfSfJTf/iLfs4KS8SY6WZ+5C6aB6O/PK1JDfjmwT7OCnKE2PlJ44gddE8HPppqSR33/KP7X2fdwJEf1bTZKfCA2lOroSIiIiIiIiIiKhr4YoGREREABqM1bDU1gCAeNe72WSAi8YdcoUCLmpXhAwZC5Wbp+R13pF90GCshrt/iBhTqDQIGTIWCqVKkusV3hMhQ8bCIzBMjMldXBAyZOx59ehCoxEyZCw8gyPFmEwmF3PlcoUY1wZHImTIWOhCoyVtNOUqzq58AACegWEIGTJWXH2hSXDsaFgtZihUGjHm7h+CkCFj4R3ZR5IbNHAkzLVGKDVuYszNNxAhQ8bCp0eMNHfAMNRVR4l3vwOAq5e/PTe6nyQ3IGYI3P0CofLQiTGNzsf+vYX1kOT694mF2kML9dlVEgBA7amzv2ct3l8A8Os1EAqlChovXzGmcvdEyJCx590R79ujHwSbFW6+zXEXV3eEDBkLdYu6AMAnqg8sdTWSvd0VanvfN60M0MQ7sre97wNa9L1ShZAhYyFr0ZcAoAvtYf8+Wkx4kcmbx4lM1pyrDbH3vTY0qjkokzXnypt/1fMMijj7Xkr7PmTwWNisjZLx6hEQerbve0tygweNRGNDnbhCBgC4+wbZ+/Ps6gtNggYMR4OxGi6u7mLMzTcAIUPGwrdnf0luQL+r4BEYCmWLz1dT3587/gL6Doarly80nl5irPzEYbh6+4mrWxC1V3DsaBxcuQRFh3ZBsNkgk3MeNhERERERERERUXvIBEEQnF1EZ2YwGKDT6aDX66HVap1dDhERdZCy7ANIfuFeuPkE4LbPNgEAtr//PPL3bMPoh16UbGtARJ1HvaEKvzxzG2zmBkx+ebG4hQRRe1gtFiz/+9VorK/DTW9/D98e/S78IiIiIiIiIiIiIuqcWydkZGTg0KFD4uOff/4ZM2bMwIsvvgiz2ezEyoiIqLsyFtuX9vcMbr6LvDr/JBrra6Hx8nNWWUR0AY31dXDz9oNa6w1dWPSFX0DUgkKpRNCAEQCAooPcPoGIiIiIiIiIiKi9OuVEg0ceeQTZ2fY9l0+dOoU777wTbm5uWLFiBZ577jknV0dERN2RsTgfAOAZGC7Gbnr7e0x/fxUCYoY4qSoiuhCPgBDc+MY3uO7lxZLtPGqrypxYFXUlIYPHAAAKD+x0ciVERERERERERERdR6ecaJCdnY0hQ4YAAFasWIHx48fj22+/xZdffolVq1Y5tzgiIuqWDMV5AABtcPNEA7lCAe+I3pKLl0TU+SiUSngEhIiPT6dtxI+zpyF740onVkVdRfDZiQYlmRlobKh3cjVERERERERERERdQ6ecaCAIAmw2GwBg06ZNmDp1KgAgPDwc5eXlziyNiIi6KXHrhBYrGhBR15SbthFWcz2MJWecXQp1AbrQaLj5BMBmMaP02D5nl0NERERERERERNQldMqJBsOHD8frr7+Ob775Btu2bcO0adMAADk5OQgMDHRydURE1B0Zz65o4Blkn2iw//tPsPf/PoCh8LQzyyKiizD+yYW4es7rGHrnbDEmCIITK6LOTCaTiasaFB5Ic3I1REREREREREREXUOnnGiQkJCAjIwMPP7443jppZfQq1cvAMDKlSsxduxYJ1dHRETdjaXOhHp9JQDAMygMAJC96Ucc/mkp6qq5kg5RVyOTy9Fz4nTIXZQA7JMMtr37L+z/4VPYrI1intXcgMaGOknMZrWisaHuvCX0W8sVbLbWcy1me26jpZXcuj+Razk/VxDE3JaTKZpyrZaLywXQaq6tsSnX3Hru2VXJHM61NraRW3/2fbeen2tuuOjcc4UMHg0AKDq48w/ziIiIiIiIiIiIyK5TTjSIjY3FoUOHoNfr8corr4jxt99+G1999ZUTKyMiou7IWGLfNkHt6QWVuxaCzYYhtz+K3pP/Bp8e/ZxcHRH9WcWHduF02kbkp6dAsDVfNN/w2iNInDkK+ekpYqwsaz8SZ47Cmn/dJmkj5a0nkThzFHJ2JIuxytxjSJw5Cj/NuVmSu/3955E4cxSyN/0oxgxFp5E4cxRWPHydJPf3T/+DxJmjkJn8rRirrSxF4sxR+O6+qyW56csWInHmKBz6cakYM9cYkDhzFBJnjpJcuM9I/ACJM0dh//KPxJit0SLmWupMYvzgyiVInDkKe756R3K8b+8Zg8SZoyQTro6s+QaJM0dh55LXJbk/PHgNEmeOgrG0ebuKrA0rkDhzFFI/fEmS++PsaUicOQpVeSfE2Mmta5A4cxS2vv20JPfnp/6KxJmjUH7isBg7vXMTEmeOwqY3Zktyk/99NxJnjkLJkd1i7ExGKhJnjsL6+ffjjwTH2icaVOYcQ52+4g9ziYiIiIiIiIiIqJNONMjPz0dBQYH4OD09HU8++SS+/vprKJVKJ1ZGRETdkbGoadsE+2oGMrkcfa67FWP/+QqUGjdnlkZEl0Bw7GiMm7sAak8vKPi7JLXCVecL76i+cPcLRk3JmQu/gIiIiIiIiIiI6AonEzrhhrXjxo3Dww8/jHvvvRfFxcXo27cvBgwYgOPHj2POnDmYP3/+ZavFYDBAp9NBr9dDq9VetuMSEdHlYzYZUZmbBQAIGjDcydUQUUcRBAEymUx83NhQD0GwQaFUQa5wAWDfOsFqaYBMJoOL2lXMtZobYLNZoXBRilsyOJIr2GxoNNu3WGg5gclqMcNmbXQoV65QihMmmrZDAAAXtav4/TmWa4HNaoFc4QKFUiUez1Jfa89VaSCTyx3OtTVaYG20QC5XQKFSt3jf7dsxOJKrUKohVyjOvu+NsFrMkMnkcFFrHMq1WszI27UZEaMmnzfppKHGAJW7p2SMEBERERERERERUes65UQDb29v7Ny5E3379sWHH36I77//Hr/99hs2bNiARx99FKdOnbpstXCiARHRlac06wA8AkLg5u3v7FKIiOgSEQQBa/51O6pyszD+6bcQHTfF2SURERERERERERF1WZ1y6wSLxQK12n4n06ZNmzB9+nQAQExMDIqKipxZGhERdXOCIGDLm49jxT+uRWXOMWeXQ0REl4hMJkPEiIlw8w2ErbGxzTyb1QqrueEyVkZERERERERERNT1dMqJBgMGDMDixYuxY8cObNy4EVOm2O82KiwshK+vr5OrIyKi7ubgqs+QvWElzCYjGmr0cPX2g4taA11YT2eXRkREl9CAGffjb5+uQ88JN7X6/IGVS/D9AxOQvWnVZa6MiIiIiIiIiIioa3FxdgGtiY+Pxy233IK3334bs2bNwuDBgwEAv/zyC0aOHOnk6oiIqDuxWszY991HgCAgfMREuHr74S8JP8Fqbjhv/24iIuralBq3P3xernCBucaAkqMZ6Dd15mWqioiIiIiIiIiIqOuRCYIgOLuI1litVhgMBnh7e4ux3NxcuLm5ISAg4LLVYTAYoNPpoNfrodVqL9txiYjo8jCbjNi3/GOYyosx6bn3IZPJnF0SERFdBuUnjsArvCdc1BoxZqooRm1FCXx7DoBc0SnnZBMREREREREREXUKnXaiQWfBiQZERERERN1LyltPIW/XZlw95w30nHizs8shIiIiIiIiIiLqcjrtbTorV67EDz/8gLy8PJjNZslzGRkZTqqKiIi6M5u1Eb88fRu8wntgzKOvQO3BCWZERN2RT49+KNi7HabyImeXQkRERERERERE1CXJnV1Aaz788EPcf//9CAwMxL59+zBy5Ej4+vri1KlTuPHGG51dHhERdSOm8mI0GPUAAH3BKegLTuLMvt+gdHV3cmVERNRRYqbcids+24TYWx8+7zljSQF+//RVbH3nX06ojIiIiIiIiIiIqGvolCsafPLJJ1iyZAnuuusufPnll3juuefQo0cPzJ8/H5WVlc4uj4iIupGdS15Hwd7tGPvP/yB63FRc/5/PUVdVBrlC4ezSiIiog/zRijVyhQuOb1oFmVwOs8kAlTtXtyEiIiIiIiIiIjpXp1zRIC8vD2PHjgUAuLq6wmg0AgDuvfdefPfdd84sjYiIuhlDUR4AwCMgBC5qDYIHjUSP8dOcXBUREV0udfoKNDbUiY/d/YKgDYmCYLOh6PBuJ1ZGRERERERERETUeXXKiQZBQUHiygURERHYuXMnACAnJweCIDizNCIi6kZsVitqSs8AADyDwp1cDRERXW57v3kfKx++Djk71kniIYPHAACKDqQ5oywiIiIiIiIiIqJOr1NONLjmmmvwyy+/AADuv/9+PPXUU7juuutwxx134JZbbnFydURE1F3UVpTA1miB3MUFap0PjvzyNUqO7oVgszm7NCIiugzUnl6wNTaiNOuAJB48eDQAoPDATmeURURERERERERE1Om5OLuA1ixZsgS2sxd5HnvsMfj6+uL333/H9OnT8cgjjzi5OiIi6i6MJfkAAI+AUFTnncCer96B2tMLd3yxzcmVERHR5dD72r8iOHYUfHv0l8SDBoyATK6AsTgPNaVn4BEQ6qQKiYiIiIiIiIiIOqdOOdFALpdDLm9ebOHOO+/EnXfe6cSKiIioOzIW2ycaeAaGQy5XIHzEJKjcPSGTyZxcGRERXQ5qTx3Unrrz4io3D/j3iUXpsX0oPJCGPtfd6oTqiIiIiIiIiIiIOq9OOdEAAOrr63Hw4EGUlpaKqxs0mT59ervb2b59O95++23s3bsXRUVF+OmnnzBjxoxLXC0REXVF4kSD4Aj49uyPa/79gZMrIiIiZ7E1WiAIAhRKFQAgZPCYsxMNdnKiARERERERERER0Tk65USD9evX47777kN5efl5z8lkMlit1na3ZTKZMHjwYDzwwAP461//einLJCKiLq55RYMwJ1dCRETOlLVhBQ6s+B9i//YQYqbcAQAIHjwG+7//BPm7U7B67gwxd/xT8fCJ6gsAOL5lNY78/CXCh0/EsHufBABYLWas+dftDtcw6h8vInjQSABAXnoKMhI/QEDMUIz95ytiTtJzd6Kxod6hdofe9TgiR08GAJQc3Yu0//0XXmE9MPHZ98ScDa89gtqKEofa7X/TPeIEjKq8E9j27r/g6u2HG/7zuZiz7b3nUHU626F2e02ajoEzHgAA1FaWYsOrD0PuosT0d1eIOTuXvI7iI3scaretPpoW/y2UGjcAQEbih8hL3+JQu2310XUvL4a7XxAA4MgvX+P45h8daretPmpt/DmirT5qbfw5oq0+am38tUbl5oG4Oa9DFxLl0HGJiIiIiIiIyHk65USDOXPm4LbbbsP8+fMRGBj4p9q68cYbceONN16iyoiIqDsxnJ1o4OEfDKu5AQqV2skVERGRM1jNDairLEXezk3iRAO/XgPg5huI2ooS6AtOtchtvtBvrtFDX3AKvj37NzcmCJL89mqsrxX/bak1Ql9wSrxQ3UR/JleS1x5mk7H5GA110BecOu/nnbEoDzWlZxxqt8GoF/9ts5ihLzh1Xm01pWccfi/qqiub27VaoS84BfnZVSaamMqLHW63zT4ShBbHLne43bb6yNbYKMbq9ZUOt9tWH7U2/hzRVh+1Nv4c0VYftTb+2vLbR/Nx4+tfQtZiG0UiIiIiIiIi6rxkgtDiLyudhFarxb59+9CzZ89L2q5MJrvg1gkNDQ1oaGgQHxsMBoSHh0Ov10Or1V7SeoiIyHkEQcC394xBY30t4h5/Hb9/+h+EDhmLa1/8yNmlERHRZdZQY0Dhgd8RMfJaKJRKMV6vr0R1/klJrk+PflC5eQCwX0w1FudD4+ULr7AeAADBZkPJ0b0O1+AV0QsarTcAoK6qHPozOVB56OAT1UfMKTm6F8I528pdiDY0Cm7e/vbv06hH1elsuGjc4NdrgJhTln0AVrPZoXY9AsPg4R8MALDUmVBx8ijkShUC+g4WcypOHYWl1uRQu26+gdAGRwCwTwApyz4IyGQIGjBczKk6nS2Z6NAebfVRQL+hkCvs8+/1BTmoqz5/Vb0/0lYf+fUeBBe1BgBgLC6AqbzIoXbb6qPWxp8j2uqj1safQ9roo9bG37kaG+qx7b1n0Vhfi1EPvYiYKXc6dmwiIiIiIiIicopOOdHggQceQFxcHB588MFL2m57Jhr85z//wauvvnpenBMNiIi6l7rqCvzw4CRAJsPw+57Gnq/eRcSoazHpufedXRoRERHRFSUz+TukL10Apas7/vLBT3D3Dbrwi4iIiIiIiIjIqTrlRIPa2lrcdttt8Pf3x6BBg6BscVcRADzxxBMX1S5XNCAioialx/Zj3Uv3wd0vCH9b/CtM5cWwWhq4NzAREUEQBMhkMmeXQXTFsFmtWD9vFsqyDyJ8xERMev4DfgaJiIiIiIiIOjkXZxfQmu+++w4bNmyARqPB1q1bJX9gkMlkFz3RoD3UajXUau7RTUTU3TUtNewZFA6ZTCYu/0xERFeugowdOLTqc0SOuQ79b7rH2eUQXTHkCgXG/PMVJD17B/J3b8XpnRsRNeZ6Z5dFRERERERERH+gU040eOmll/Dqq6/i3//+N+RyubPLISKibih63FQE9h8Gq7nhwslERHRFqCktROmxfbDU1nCiAdFl5h3RGwNnPIDDq5ehtqLE2eUQERERERER0QV0yokGZrMZd9xxxyWZZFBTU4MTJ06Ij3NycrB//374+PggIiLiT7dPRERdk1yhgEdACEqzDmDnZ28gZPBYRIyc5OyyiIjIiXqMnwZzjR69rpnh7FKIrkixf3sI0VffCK/wns4uhYiIiIiIiIguoFMuFzBr1ix8//33l6StPXv2YOjQoRg6dCgA4Omnn8bQoUMxf/78S9I+ERF1bUUH0pC1/nucTtvg7FKIiMjJVG4eiL31Ybj5BDi7FKIrkkKl5iQDIiIiIiIioi6iU65oYLVa8dZbb+HXX39FbGwslEql5Pn33nuv3W1NnDgRgiBc6hKJiKiL+/2TV6DR+SIgZgj6T78PAX2HOLskIiIiIjqr4uRRHF79Ba6e8zoUKrWzyyEiIiIiIiKic3TKiQaHDh0SVyA4fPiw5DmZTOaMkoiIqBsxm4w4vvknAMBd3/yOsGHjnVwRERF1JpW52chc+3/wiY5Bv6kznV0O0RXHarFgS/xc1FaUwCuiFwbf9oizSyIiIiIiIiKic3TKiQYpKSnOLoGIiLq54bOeQW1VGVRuHs4uhYiIOpmKE4dxYstqeAaFI2bKnZDJO+WOc0TdlkKpxIj7n0Xezs3oc/2tzi6HiIiIiIiIiFohEzr5vgIFBQUAgLCwMKcc32AwQKfTQa/XQ6vVOqUGIiLqGKbyYjQ21EEbHMmLSEREJLLU12L3snj0uuYW+PcdzFXViIiIiIiIiIiIztEpJxrYbDa8/vrrePfdd1FTUwMA8PT0xDPPPIOXXnoJ8st4MYgTDYiIuq+9//cBDv+0FH2n3IHRD73k7HKIiKgTslkbUbB3BwAgbNg4yBX2ReGq80/CUJQHz8BQeEf2EfPz0u2rs4UOjYNCqQIA6AtzoS/IgYd/MHyiY8Tc/D3bINhsCBk8Gi5qVwCAoTgf1Xkn4OYTAL9eA8TcgowdsDU2ImjgCHE1nprSM6jMzYarly/8+8SKuWf2/w6ruQGB/YdB7WH/P4ypohgVJzOh0XojIGaImFt0aBcsdbUIiBkCjdYbAFBbVYby44ehcvdE0IDhYm7xkT0wm4zw7z0Irt5+AIA6fQXKsg5C6eqO4EEjxdySzAw0GPXw7dkf7r6BAIAGox4lmRlwUbsiZPBoMbcs+wDqqivhEx0DD/9gAPZtjoqP7IFCqULo0Dgxt/zEYdRWlsE7ojc8g+yT0S11tSg6tAtyhUKyHVLFqaMwlZfAK6wHtCGRAIDGhnoUHkgDZEDEiElibmVuNmpKz0AXEgVdWLS97xstKMhIBQCED58gTkqsyjsBY3E+PIPC4R3RCwAg2GzI37MNABB21dWQuyjtfV+QA31hLjwCQuAT1Vc8Xt7uFEAAQgaPgYtaY+/7wtOoLjgFd79A+Pbo39z3e7fDZrUieNAoKF3dAADGkgJUnT4ONx9/+PUa2Nz3+36D1WJG0IDhULl72sdJWREqc45Bo/NBQN/BYm7hgZ1obKhDQL+h0Hh6nR0nJag4eRRqTx0C+13VYpykw1Jngn/fWLjqfO19X12BsuyD542TkqN70VBjgF/vgXDz9gcA1BuqUHpsP5QaVwTHNvd96bH9qDdUwbdHP7j7BeGP1JQVieODiIiIiIiIiJyvU96++dJLL+Gjjz7CwoULsW/fPuzbtw9vvvkmFi1ahJdfftnZ5RERURdXceooKnOOwVJrhEKlhk9k3wu/iIiIrki2RgtS4uciJX4urBazGD+1fS1S4ufi+OafJPlNueZaoxg7nbYRKfFzcWz9cknu9veeRUr8XNTrK8VYwZ6tSImfi6Nrvpbk/rZoHlLi58JUXizGCg+kISV+Lg79uFSSm7b4NaTEz4Wh6LQYKzm6Fynxc7H/+08kubs+X4iU+LmozjshxsqzDyElfi4yEj+Q5O75+j2kxM9FxamjYqwqNxsp8XOx+8u3Jbn7vvsIKfFzUXZsvxjTn8lBSvxc7FzyuiT3wIolSImfi+JD6WKspvQMUuLn4reP50tyD6/+Einxc3FmX6oYq6sqQ0r8XGxPeEGSm7n2W6TEz0Ve+mYxZjYZkBI/F1vffkaSm71xBVLi5yLnt3VirLGhTuxPm9Uqxk9u/QUp8XNxMuVnMSbYrGJuY0OdGM/5bR1S4ucie8MKyfG2vfMMUuLnoqFGL8by0rcgJX4uMtd+K8ndnvACUuLnoraqVIyd2ZeKlPi5OLz6C0nub5+8gpT4uagpPSPGig+lIyV+Lg6u+J8kd9dnb9jHyZkcMVaWdQAp8XOx77uPJLm7v3wbKfFzUZmTJcYqTh5FSvxc7PnqXUnu3v/7ACnxc1GefUiMVeedQEr8XOxaulCSu/+HT5ESPxclR/eiLZY6E7a+/TR+eeqvMFUUt5lHRERERERERJeXi7MLaM1XX32Fzz//HNOnTxdjsbGxCA0NxezZs/HGG284sToiIurq9nz5LoqP7MbVT7yJkQ88D8Fmc3ZJRETUSclkcvifvQtcJmuep+3uHwz/voPhERAiyW/Klcub/6vl5hMA/76D4RkYLsn16z0IVosZ8rMrHwCAq7c//PsOhjY4QpLr22sgzCYDXFQaMabR+cK/72DoQqOkuT36wc3HH0qNmxhTe3rDv+9geIX1kOT6RPeFyt0DSjd3Maby0Npzw3tJcr0jekOuUIh3ygOA0s2j1Xq9wnvC1miB2lPXnOvqBv++g+HmEyjJ1YVFw2wyQKPzFmMKtQb+fQdDffZO+ybakEj49x0MVy/f5lyVGv59B8OlxfcLAJ7BEfZc7wAxJle42LfDOGeVPI+AUPj3HQx33+a76mVyRYu+b5HrH2LP9W/R9zJZc65cIYbdfYPOjpNQyfH8esdCsFmhOLvyAdBinJzzXvr1HojG+loolGox5urld/Z9j5Tk+vbohwb/YCjULceJve915/V9DNRaL7homvte7ak72/c9pblRfeCi1oiraQCAyt3z7PiLluTaV3kQoPJoXhFQ6eZufx/8pZ8Xr7AeaKyvPa+fW3JRu6K2qgyWOhN2ffYmJj3/AbczISIiIiIiIuoEOuXWCRqNBgcPHkSfPn0k8aysLAwZMgR1dXVtvPLS49YJRETdz8pHroepvBg3vvmNZAlhIiIiInIeQRBQfHi3ZBsOwL5dRdKzt8PW2IgJ/3oHUWOud1KFRERERERERNSkU26dMHjwYHz00UfnxT/66CMMHswLQkREdPGs5gaYKkoAANqg8AtkExEREdHlIAgCdn/xFjb85x84suYbyXPeEb0wcMaDAID0zxeiocbgjBKJiIiIiIiIqIVOuXXCW2+9hWnTpmHTpk0YM2YMACAtLQ35+flITk52cnVERNSVGUvPAIIAuYsS2z94Af2n3YOwYeOcXRYRERHRFU0mk4lbKChabCfSJPZv/0Du77/CUJiLvd+8j7H/fOUyV0hERERERERELXXKFQ0mTJiA7Oxs3HLLLaiurkZ1dTX++te/IisrC+PG8WIQERFdPGNxPgBArlCg6EAaGmr0Tq6IiIiIiAAg9taHcdNbyxEz5Y7znlOo1OLkguObVqH4yJ7LXR4RERERERERtSATBEFwdhGdmcFggE6ng16vh1ardXY5RET0Jx1N+ga7v3gbwbGjEDFqMsJHTIC7b5CzyyIiIiKic1jNDSg/eQSB/a4SY2mLX0P2xpVw8w2Efx/p1opxj78GpcYNAJC1YQWKDu5C9NVTEDl6MgCgpvQM9nz9vsN1jHzgObj5BAAATu1IRt6uLQi7ahx6XfMXAECDUY+0//3X4XaH3vkYdGHRAICCvdtxIuUXBMQMQf+b7gEA2KyN2P7+vx1ud8BfZsG/9yAAQElmBjLXfgvvyN4YfNsjYk7qonlobKh3qN0+192KkMGjAQCVudk4uHIJPPyDMXzWM2JO+tKFqK0qd6jd1vpI7aHFmEfnizn7vvsI+jO5DrXbWh/J5HJMePotMefw6i9QfuKIQ+221UetjT9HtNVHrY0/R7TVR62NP0e01UetjT9HtNVHrY0/R12Oc0RO6jqc2f87QgaPQY9xUwHYz2U5v62H0tX97JcbXDTu4mMXtStkctl57crkCshk9rhgs0EQbABkkCsU9pggQLBZHa5XJpNDJpe32S5gH9uXpl1ArmheUPdPt9vie/6z7bb1XkrbtQJw9E/nrbfbsj//bLv2NhovUbutv5etj79L0G4b4+Ti27V/z5ei3dbey7bG359t95J8li/DOYKIiOhCOs3WCQcPHsTAgQMhl8tx8ODBP8yNjY29TFUREVF3YywuAAD49hjQ6t1yREREROR8jQ312BI/FyVHdmPScx+IW10Nu/dJ5O/ZhtqKEpxO2yB5zdh/Nl/0rDh5FKfTNsAnqo8YM5uM572mPYbOfFz8d3XeCZxO2wA3H38A9ovYVkvDRbXb/6a7xX8bik7jdNoGyUUkCMJFtdt0cRMATOVFOJ22AWaTQZKTl54CS63RoXZDYkeL/67XV+B02gZ4R/WV5JzZ9xsMRacdare1PnL19seYFjlFh9JRlrXfoXZb6yOZQvpnsNJj+5G/O8Whdtvqo9bGnyPa6qPWxp8j2uqj1safI9rqo9bGnyPa6qPWxp+jLsc5our0cZxM+Rkqd0/xvag3VuG3j152uN2pC/4P/n3sfwM9suZr7P36PfSceDOunvMGAPsEhsSZIx1u95oXFiF8+AQAwMlta/DbRy8jdGgcJs/7VMz57r44NNbXOdTu2MdeQ+9rZgAAzuz/DZvfeAy+PfvjpreWizk/PX4TakoLHWr3qnuexKBbHgBg77e1z98Fd79g3Pq/X8WcdS/dh/Ljhx1qt//0+zBi1r8AAKayIqz65xQoVGrc891uMSclfi4K9m53qN22+mjm/+2E0tU+0eX3T/+Dkyk/O9RuW33010+S4RkYBgDY9+2HOLz6C4fabauPWht/jmirj1obf45oq49aG3+Oaq2PWht/jmqtj1obf466HOcIIiKiC+k0Ew2GDBmC4uJiBAQEYMiQIZDJZGhtsQWZTAar1fGZeERERABgLM4DAHgGhTm5EiIiIiJqi9xFCbWHDnIXJRQqtRhXuWtxw2tLUXRw53k3bSpUGvHf0VffCJ+ovvA7e2c1ALj5BGDUP150uBZXnY/47/ARE+DmEwDvyN5iTOnmcVHtegQ2/z4aNHAkRv3jRXgGRzQnyOQX1a53ZPOFU9+eAzDqHy/CzTdQkjP8vqdga3TsDmD/mCHiv3Wh0Rj1jxeh1npJcmJvewSW2hqH2m2tjxRqjSRnwM33oq7FBez2aLWPZNK7xu13yY8596V/qK0+am38OaKtPmpt/DmirT5qbfw5oq0+am38OaSNPmpt/DnqcpwjwoZPgNLVHb49B7TIkCFkyFhY6mrRWGeCpd4ES10tLHUm2BotDh+PiOhyEGw2ZP36A9z9ghA+YqKzyyEiok6q02ydcPr0aUREREAmk+H06T+e/R4ZGXmZquLWCURE3c1Pj98MQ9FpDJ05FzFTboPKned2IiIios7I1miBvjAX3hG9L5xMRNQFWS0WNDa0vnKA0tVNXCLeam5Ao7kBchcXcfsHQRBgNjm2MgkAuKhdoVAqzx7fjMaGesgVCihd3cWchhpDWy//g3Y1UChVAOznb0t9HWRyOVRuHmKO2WRs9cayP2xXpRYnnNmsjbDU1UImk0Hl7tncbm0NBJtjS+UrlEq4qF3PtmuFpc4EwL4tSBNLXa3D2zK01Ucqd09xmXtLfa3Dk73a6iOlq7u40kpjQx2sFscmr7TVR62NP4fabaOPWht/jmqtj1obf45qrY9aG3+Oaq2P2hp/jrXbseeIY+uXY9dnb8LV2x8zPlgt6U8iIqImnWaiQWfFiQZERN2HzdqIxJkjxf/QT/zXu4gcc52TqyIiIiKi9qirKkedvlKy1DkRERERXXqNDfVY//L96HXNX9D3+tshk8udXRIREXVCnWbrhJYqKirg6+sLAMjPz8dnn32Guro6TJ8+HePGjXNydURE1FWZyovtkwxkcmiDI+Dba6CzSyIiIiKidjBVlGDDK/9Ag8mAKa8tg1d4T2eXRERERNRtuag1mLYwkRMMiIjoD3WqnxKHDh1CVFQUAgICEBMTg/3792PEiBF4//33sWTJEkyaNAmrV692dplERNRFGYsLAAC6kEjcsugXePgHO7kiIiIiImoPpcYNSjcPuKhdIT+7NDIRERERdZyWkwws9bVtbvVCRERXrk410eC5557DoEGDsH37dkycOBE33XQTpk2bBr1ej6qqKjzyyCNYuHChs8skIqIuqq66HDK5Ap5B4c4uhYiIiIgcoHL3xOSXP8WNr38J7dnf5U7tSMaq2VOR9r//SnLXzfs7Vs2eisrcbDGWl56CVbOnInXRS5Lcja89ilWzp6Is+4AYO7P/d6yaPRVb33lGkrtl4Vysmj0VxYd3i7GSo3uxavZUbH7zcUnu9vefx6rZU1Gwd4cYqzh5FKtmT8Wv//mHJPe3j+dj1eypOJ22UYxV55/EqtlTkfzivZLcnZ+9iVWzp+LktiQxZiwpwKrZU/HLM7dJcvd89S5WzZ6K7A0rxVhdVTlWzZ6Kn+ZMl+Tu++5jrJo9FUeT/k+MmWtrsGr2VKyaPRW2xuY9vw/9uBSrZk/FoR+XijGrxSLmmmtrxPjRpP/DqtlTsX/5x5Lj/TTnZqyaPRV11RViLHvDSqyaPRV7vnpXkvvLM7dh1eypqCk9I8ZObl2DVbOnYtfnCyS5yS/cg1Wzp6I6/6QYO522EatmT8VvH78iyf31lQexavZUVJw8KsYK9m7HqtlTsf395yW5m998HKtmT0VJZoYYKzqUjlWzp2JL/JOS3K3vPINVs6fizP7fxVhZ9gGsmj0VG//7qCR3x4cvYtXsqcjbnSLGKnOzsGr2VKyb93dJbtr//otVs6ciJ3WdGNMX5mLV7KlIeu4uSW76snismj0Vx7esFmOmimKsmj0VPz95iyQ3I/EDrJo9FcfWLxdj9cZqsT9bOrDif1g1eyqO/PKVGGtsqBNzW+61fvjnL7Fq9lQcWPE/SRtNufXGajF2bN1yrJo9FRmJH0pyV8+9BatmT4WpoliMHd+yGqtmT0X6F29JcpOeuwurZk+FofC0GHPWOaLo4E4xVpmbhc1vPn5evcc3/Yj9P3yKqrwTYsxUUYLMtYk4uXWNJDdv1xZkrk1EdcEpMVanr0Dm2kQc3/yTJLdg73Zkrk1E1enm763BqEfm2kRkbVghyT2z/3dkrk1Exanmz4ClzoTMtYk4tm65JLfo0C5krk1EWfZBMWY1NyBzbSIy1yZCsNnEeMnRvchcm4jSY/vEmM3aKOZaLWYxXpZ9AJlrEyXnVQDITP4WmWsTYamvFWPlJ44gc20iCg/slORm/foDMtcmwmwyiLHK3Cxkrk1EQcYOSW72plXIXJuIekOVGKvKO4HMtYnI371Vknsi5Wdkrk1EbVWZGNMX5iJzbSJO79wkyT21fS0y1ybCVN48Vo3FBchcm4jc336V5Ob+9isy1yaKN0IA9tUXM9cm4tT2tZLc0zs3IXNtIvSFuWKstqoMmWsTcWLLz5Lc/N1b7X3fYkzVG6qQuTYR2ZtWSXILMnYgc20iKnOOiTGzyWjv+/XfS3ILD+xE5tpElJ84IsYs9bVif7ZUfGSPve+zmj8vVotFzLVZG8V46bF99r4/skeMCYIg5rY8n5QdP4TMtYkoOrRLcrxj65bbx0mdSYxVnMpE5tpEnNn3myQ3e8NKZK5NRINRL8aqTmfbx8ne7ZLc45t/QubaRNTpm39G6QtykLk2EXm7tkhyT25dY+/7ihIxZijKs/d92gZJ7qkdychcm4ia0kIxVlNaaO/7HcmS3Ny0DchcmwhDUZ4Yu9zniKKDO8Vai4/swS9P/Q0Z3y4CERFRS51q64Tdu3djy5YtiI2NxeDBg7FkyRLMnj0b8rMz5+bMmYPRo0c7uUoiIuqqek64CREjJkn+c0tEREREXYPG0wvwbH7cWFeLmpIC1FWVS/JM5cUwlRXC1th8Maux3p577oRTU0UxakoKYDU351ob6lFTUgBXLz9Jbm1lKWpKCiQXPxrNDagpKYDS1V2aW1V2Nrf5zj+rxZ4rlyskuXVV5agpKYClrvmCmq3RYq+rxQU5AKjXV5zNbb6Yb7M22mtw85TmGqpQU1IAc62xOddmtdfgIv1zUIPxbG6LC3UQbKgpKcC5GozVqCkpQEONXhIXc4XmC45mkwE1JQWSi8oAYCw5A8HaCMFmbc6tPZvb4gIgYL8IY6k12rdAO8tSZ7L3fYuJCgBQU1aEuqoyycQIS9M4CY2W5JrKS857jxvr61BTUgB3vyBpbsXZXHODGLOa7eNE7eklyW0aJ9YW48RqNqOmpAAKpVqS29T3jS0uplot9tyWF25b5ra8oGZrtPd9Y4sYANTrK+25LfpesNr73kWtkeY2jRNTi9yz4+RcYt+3uFAnCEKLXEGMm2v0Z3OrJW2IubZWxsl5fX8GVnM9BGvzOLHUGu25+kppblkhGgxVkv/rOescYWtRb11VGQr2bodPdIwk98TWn1GauQ/e4b3gHdFLfG/Sl8VDGxKFnhNvFnOzNvyAwv2/4+o5r8MrrIf9WBUlSF8WDzffQPS+tnnyyPHNPyFv12aMfngevCP7ALCPh/Rl8VB5aNH3+uYJSae2J+HUtiQMn/UMfHv0B2C/2Jy+LB5ypQoxN94p5ub+vgHZG1ZgyB2z4d8n1v6eNdQjfVk8AKDvlDshO5ubl56Co2u+xsAZDyAgZigA+/hryu056S9QnF2ZpmBvKg6u/B9ibrwLQQNHiMfb/cVbEGw2RI29AUqNGwD7Rc+MxA/Q65oZCBnc/Pfhvd+8D0udCaHDxkPlrgVgn+yQviweUXFTEHZV8za8+777CPXVFQgcMAIarTcAoPz4IaQvi0fYsPEIHzFRzD2w4n+oKSmAX++BcPP2BwBUnspE+rJ4BA0cgcjRk8Xcwz8tQ1XecXiF9xTPH9X5J5C+LB5+vQchKu4GMffImq9RfvwQ3ANC4BkUBgAwFJ1G+rJ4eEX0Qo/x08TcY+uXo/hQOsY/FQ9dSBQAwFRWiPRl8fAICEWva/4i5mZvWoWCPdsw9p//EcdUXVUZ0pfFQ+Pliz6T/ybmnty6Brm/rcfIB54Xx2aDUY/0ZfFw0bghZsodYm5O6jqc2PITrrp7Lvx6DbD3fV2tvT9lMvSbdreYe3rnJhxL/haxtz6MgL6DAQC2RrPY932uuxVQ2H/+5O/ehsOrl6H/TfciaMBwewOCIOZGj58mnq8K9/+O/cs/Rp/rb0PwoFHN4+Srd2CzmBE+8hrx53Dx4d3Y89U76DH+JoQOjRNzMxI/QEONHiGDx0LtqQMAlB7bj/Rl8YgYdS3Cho1v7vsfPoWpvBgBMUPhqrNv71x+4jDSl8UjZMhYRIy6Rsw9uOozGApz4R3VF+6+gQDsExjSl8UjoN9QRI25vrnvf/kKlacyoQ2JhEdACABAf+YU0pfFwyc6Bj3GNU/uylz7LUozMzDRJwDa4AgAl/8ccWLrLzizdweuf/Vz+8+80jPIXJuI6Lgb4N9nMIiIiIBONtGgsrISQUH2X8Y8PDzg7u4Ob29v8Xlvb28Yjca2Xk5ERHRBa/89EzZrIyb+693z/thDRERERF1H+MhJ8I7qLV5YajLpufdhazRDF9pDjIUMGYupC74572L8+KfiYTXXQxfWU4wF9h+GqQu+gcvZi1tN4h57FY0NddCGNF+w9u89EFMXfAOFylWSO/qhl2Cpq4FncKQY847sY88952LziL8/i8G3PwLPwOYLnJ7BEZi64BvIFUpJ7tCZczBg+n3w8A8VY+6+QZi64BvIzpnAEHvbI+h7w21w92veLkyj9cHUBd8A4iVBuwF/+Tt6TrwZbmcvkgCAi8btbC4kbcfceBcix0yGq5e/GJMrFGJuy/et9+S/InRoHDRnL9Q0ufH1LwEIUHs2/82nx/ibENh/GNRaH0nu9a/8D4LNKqktcvRk+PbsB5WHTpJ77QuLYLNa4Hn2ogwAhA0bh6kLvoHKTTpOJv7rHVgtDfAK7yXGgmJH2ceJq4ck9+o5b8BqroOuxWQF/75D7ONELe37MY/OR2N9LbTBUWLMp0e/s+NEepF/5IP/hqXWCM+g5nq9wnra+95FukXIsHufxKC/PgCPgDAx5hkYerbvpX/eG3LHbPSbNhPu/iFizNXb395HMunipoNu+Qd6X3sL3HybJ1eo3bVif7bU/6Z7EH31FLh6B4gxhVIt5rasuc/1tyN8xMTzLsY35arcmz+LPSf9BcGxo6DRSsfJDa8tBQQbXL2bx1pU3BT494mF2sNLkjv5pU8g2BrFi3eAc84Rlvo6eIU1jxOv8F4Y+8//QOkuHVMRoybDK7yXZKxqtD6IipsCN58ASW7QgOFQuWsl/aly1yIqbop4wbRJQL+rIHdRSsaUi6sbouKmQKmRjlX/PrGwNTZCe/YCNgAo1BpExU05bzKSb8/+iIqbAq/w5vdB7qJEVNwUAIBM1nxO8YmOQVTcFHhH9WluQCYXc+WK5vOJd2RvRMVNESc6NIkaewMEQYBC1TymdGE9EBU3BX69BkpyI8dch8aGenFCAgBogyMQFTdFvNjdJGLkNTCbjFC5NfeHZ2DY2Rr6SXLDh41Hnb5SMtbc/YLt70NEL0lu6FVXQxfeExqv5jHs5hOAqLgp4kXiJiGDx8AjIBTuPs3nNI3O3vfnTnIKGjgSGq2P5Dyu9vBCVNwUuOqk58rAflfBRe0Kj8Dmc4TSzRNRcVMknzcA4vuiDWn+GeWicUVU3BQoVNKfUX69B6KxoQ66sObPi0KlQlTcFEm/A4BvdD9730f0FmMyuULs+5bnH++oPoiKm3Le32WachUuzT//vMJ72vuo57nj5HrYGhslE6h0oVHieaKliNHXwlJXCxfX5nHiGRTR6pgKGz4RDcZqybnDIyDEXm/LcQ0gbNh41EbHQNOiP9x8AxEVNwW60ChJbuiQsdAGR0rOaa7e/oiKmwKPgFBJbnDsKLj5BEh+9l3uc4TVbIalvha1FaUIGzYOPSfejJNb1+C3j1/Bze/8IE4YIiKiK5tMEAThwmmXh1wuR0lJCfz97T9sPT09cfDgQURH239BLykpQUhICKwtZgZ3NIPBAJ1OB71eD61We+EXEBFRp2WpM+Hbe8cCgoA7vtgm3sFAREREREREREREdmaTAZW52eKKE/XGavw8dwbq9ZWIvfURDL3rMSdXSEREnUGnWtEAAP7+979DrbbPnKyvr8ejjz4Kd3f70kcNDQ1/9FLq4gr27pDsedce7n5B9mW3zjq8ehksdbXoO+UOcVmz4iN7JPvjtYfKQ4cBNzfvhXls3XLUVZej58Tp4kzk8hNHkN9iH8X2UChViL31YfHxiS0/w1iSj8gx18Enqi8AoLrgFHLO2ZerPQbf/k9xVnju7xtQdToboUOvRkDMEAD25SaPb/7R4XYH/OXv4kzvpj4K7D8MIYPHALD/kpnZYh/P9mqtj3x79BeXH2tsqMehHz93uN3W+kgXGi1Zem7/8o/h6Byr1vqorfHniNb6qK3x54jW+qit8eeItvqotfHniLb6qLXx54iWfSQIAr69Zwwix1yHnhNu5iQDIiIiIiIiIiKiVqjctc3bWgCQQYbBtz6KXUvfxKGfliJyzGTxb6VERHTl6lQTDWbNmiV5fM8995yXc999912ucugyKzzwOzLXJjr0Gv++QyQXeo+u/RZ1laWIHD1ZvIhdmpmBgyuXONSuZ1CE5EJv9qZVqMrNQmD/YeJF7MqcTIfbVbp5Si70ntqxFkUHd0IXGi3+YmY4k+twuwAw+LZHANgv9Oalb0HOjmSoPXXiRezaypKLarfP9beJF3qb+mjQX/8hXsQ2G/UX1W5rfdR78l/Fi9i2RvNFtdtaH4WPmCS5iH3wx6UQWuzb2B6t9VFb488RrfVRW+PPEa31UVvjzxFt9VFr488RbfVRa+PPES37SLA2wkXjivw92zBu7kKH2iEiIiIiIiIiIroS1RuqsOHVh9FgrEbIkLEo3P87fv/kFUxd8H+QKzrVJSYiIrrMOtVPgS+++MLZJZATBfa7CoLN5tBrzt2/qtekv8BSWwO11kuM+fYcgJgb73Ko3XPvdI6Om4LAflfBvcWehV7hvRxu99x9zsJHTIIuNFqyJ5pHYJjD7QKQ7HMWMngM1B46eEc2zyp19fK/qHZb7s/V1Ect9zlTuntcVLut9ZF/3+Z25S7Ki2q3tT5quTccAMTccLvDKxq01kdtjT9HtNZHbY0/R7TWR22NP4fabauPWhl/jmirj1obf45o2UdyFyX6TbsHfr0GQqFU/sGriIiIiIiIiIiICAAEmw02ixk2ayMGzngA5ccPoeLkURxd8zUGznjA2eUREZETdaqJBnRlU2u9oQ2JhG/PAQjoOxgAYGu0IGvDCgBA3+tvg9zFfnGwNOsAKk4egXdkH0kbrl6+cPXyhdrDq7ldTx20IZHwCu+J4EGjxPix9d9DsFnRc+J08Y7pypxjKMnMgDY4UtKu2lMHF40r1LrmC8BKN3doQyLhGRiGsGHjxfiJLT/DUm9C1Ngb4OrlCwDQn8lB4YE0yUVwAFB7aKENiYSrt58Yc9G4irGoMdeL8Zzf1qNeX4nw4RPEi6c1ZUXI350CtaeXuGw9AChd7bW5+waKMYVKBW1IJFRuHug5cboYz9udAlNZEYJjR8MrrAcAoF5fiZzf1sNF7QqVu7a5DbXG3q5/SHPMRQltSCTkLkr0vf42MV54IA36MzkIiBkC3x79AQCWulqcSFkNmUwueS8UStXZ9zJcjMnkCvHift8b7hC/v5LMDFTmHINPdIx48d1mtSLr1+8BAB6BoS3akEMbEimZJAAA2pAoCIINvSbNgNLVDQBQceooSo/thy40WlwJAACyNqyArdEirpLQ3EYkPIPCJTHPwDA0NtQhOm4KNDofAPZtFooO7oS7fzAiRkwSc09u/QXm2hroQqPEmGCzQhsSCTefAEm77v7BcNG4InzEJHj4BwMAakrPIH/PNmh0PoiOmyLm5qZtQF1VOXThPcWYrdECbUjkeRf/7eNDQMjgMeKEg7rqCuT+/iuUGnf0uuYvYm7B3u0wlhRIPnON5gZoQyKhUKok48/Vyw/akEgE9rsKPtExAABzbQ1Obv0FMrkCMVPuEHOLDu1Cdf5J+PSIaW63oR6eZ9/vluPvUpwjclLXwdXLF+baGvFzT0RERERERERERK1z9fLF9f/5DJY6E3Sh0Rj+92fx+8fzsf/7TxE+8hroQqKcXSIRETmJ/MIpRJdH3q7NSF+6EAV7tokxa6MF6UsXIn3pQlgbLWK8YM82pC9diLxdmyVtNOU21teKscL9vyN96ULkpK6T5O79+l2kL10Ic41ejBUf2Y30pQtxctsaSW7Gt4uQvnQh6qrKxVhZ1gGkL12I7I2rJLn7f/gU6UsXwlReJMYqTh5F+tKFOLZ+uST34KrPkb50IYxF+WKs+vRxpC9diKNr/k+Se+Tnr5C+dCGq80+KMUNhLtKXLsTh1dLVQDKTv0X60oWobLHcfk3pGaQvXYgDK6TbEWRvWIn0pQtRnn1IjNVWliJ96ULsW/6xJPfEltVIX7oQpZkZYqxeX4X0pQux95sESe6p7WuRvnQhig7uEmPmWqO9j754S5Kbm7YB6UsX4sy+VDFmNdeL/Qmh+S72/PQUpC9diPz0lOYGBFvzODHXi+Ez+1KRvnQhctM2SI6X/sVb9r6vNYqxooO7kL50IU5tXyvJ3ftNAtKXLkS9vkqMlWZmIH3pQpzYslqSu2/5x0hfuhC1LbZPKM8+ZB8nG1ZKcg+sWIL0pQtRU3pGjFXmZiF96UJkJn8ryT28+gukL10IQ2GuGKvOP4n0pQtx5OevJLlH1/yffZycPi7GjEX5SF+6EAdXfS7JPbZ+OdKXLkTFyaNizFRehPSlC7H/h08ludkbVyF96UKUZR0QY3VV5UhfuhAZ3y6S5J7ctgbpSxei+MhuMWau0dvHydfvSnJzUtchfelCFO7/XYw11tc2930Lf/YcYbNaUVNSgN1fvA2ZTAYiIiIiIiIiIiK6MDefAPFGpV6T/gL/vkNgNTfg90/+4/AKpERE1H1wRQPqNHyiYxAVNwXekc1LqMvlCkSdvVtbLm++Y9o7sjei4qaId0s3EXOVKjGmC++JqLgp8Os5UJIbOeY6WC0WuKibl2bXBkchKm6KZNl5AIgYOQmWulrJHdCegWGIipsC3579Jbnhwyeg3lAFVYu7x939g+3fW0QvSW7oVXHwjuwt3v0OAG6+AYiKm3Leqgohg0fDMyhcsvqBRueLqLgp4l3uTYIHjoSrlx/c/ZpXNFB7eiEqboq4ykKTwP7DoHR1l6wEoHL3RFTcFKjcPSW5/n2HQCZXSO7kd3F1Q1TcFLioNZJcv96DYLWYJUvzu6g0iIqbAplcOsfJt0d/RMVNgVeL90emcBH7Ey0uCntH9bW/l1HNWw5AJhNzZS32BfOK6GXvox7SPooaez0Emw0uquaadaHR9nHSe5AkN3L0tWhsqIfL2ZUPAMAzKLzV3PDhE2A2GSXvm0dgaKtjNWzYONRVV0Dt6SXG3P0C7e/D2ZUlmoQOGQtdaDQ0uua+c/X2Q1TcFHgGSrdvCB40Cu5+QXDzbV4VQaPzQVTcFEkMAIIGDIfa0wvuLcaPykOHqLgp523fENBvKBQqNTwDw5pz3TwQFTdFXBWiiX+fWAg2G7TBUWLMRe2KqLgp521Z4NdzICx1tZIVGORKVXPft/BnzxFyhT03ZMhYKF3dz2ufiIiIiIiIiIiI/lh1/gnoz5wCZDKUZmYga8MKyQqmRER05ZAJjm5U3gV9/PHHePvtt1FcXIzBgwdj0aJFGDlyZLteazAYoNPpoNfrodVqL/wCIiIiIiIiIiIiIiKibshQnI/1L98PGewr47po3DDjw9XnbRtMRETdX7ffOuH777/H008/jVdeeQUZGRkYPHgwbrjhBpSWll74xURERERERERERERERAQA0AaFY8pry3DTuysQHDsaQ+6YDVcvf2eXRURETtDtVzQYNWoURowYgY8++ggAYLPZEB4ejjlz5uDf//73BV/PFQ2IiIiIiIiIiIiIiIikBEGATCZD8ZE98ImOkWw9TERE3Z/LhVO6LrPZjL179+KFF14QY3K5HJMnT0ZaWpoTKyMiIiIiIiIiIiIiIuq6ZDIZ8vdsw9a3n4ZPdAxibrwLUWNvAAQbSo/tg6m8GO5+zVsqmMqLUW+ogquXP9x8/AAANqsVVaezAQA+0TFQe+rg26M/DIWnYSovQl11BVy9fOHXJxYuKg2KD6ejtrIUGp0v5AoFAKC2shx11WXQaL0lx6vIOQYIArwiekHtoYV/n8GoKS2EsThPbNenR3+oPbQoPrIHdZWlULp5QKFUAQDq9FWorSiGyt0TnoFhYrtVeSdga7RAFxoNlbsnAvsPQ21lKfQFp1Cnr4Srzgdekb3hqvNF6bH9qK0shdzFBUqNGwCgocaAmtIzUGrcoA2JFNutLjgFq7kBnsERULm6Izh2NOoNVajKzUJtdQXcvHyhDY2Cu28Qyk8cQW1FMQSbDSp3TwCAua4WxqLTUKjU8ArrIbZrKMqDpc4Ej4BQqD20COg3DFZLAypOHEadvgKuOl94BIbBMzAMlblZMJUXwVJfB1etNwCgsaEB+jOnIJMr4BPVR2zXWHoG5hoD3HwD4arzgV+fWMhkcpRl7UdtVTncvP3g5hsIXWg0qgtOwVR6BvVGPdy87X1vbbSiOs/e9749+jWPk4oS1OsrofHyg7uPP3x69IfS1R0lR3ajXl8JlacX3Lz94B3ZB4bifNSUFKC2shTuvoHNfX8qEwDgFdEHCpez46SqHHVVZVB7esHDP1jso6JD6WgwVsNFrYGrtx98e/RHTVkRjEWnYaoolmwLUpmbDcFmhS60B1zUavs4MVShtrwYSjdPaIPCxD4qPbYP9fpKQK6Aq84b/n0Go66qHNX5J2AqL4G7X3O9zX0fCZWrfZyYTUYYSwrgonGDLiRS7KOy44dQr6+ArbERGq03AvsPQ72xGlU5x2CqKJG8D4bC07DU14p9DwCW+loYCk9DrlTBO7yn2EeVOcdQV1UGc50JGk8vBMeOhqXOhPLjh85r11hSALPJCDffILjq7OPEajGjOv+kOE40Oh94R/ZBdf5J1FaWol5fCVcvXwT0G/anzhGB/a6CQqUGdQ7deqJBeXk5rFYrAgMDJfHAwEAcO3as1dc0NDSgoaFBfGwwGDq0RiIiIiIiIiIiIiIioq7IzccfchclqvNPIvXDFxE6NA5WixkbXn0YkMkABxfVDho4Aje8uhTZG1fiyC9fQaFSw2puwF8+WA1tULi93YvgFd4Tf0n4Cbm//4q937wPpZsHLLU1uOG1ZQgaMBxbFs6FpdbocLsanQ/uWLYVhfvT8NvHL0PloYW5xoAJ/3oHUWOuR+qieTAW5zlesEyGWSsPoPz4IWx+83Go3LUwmwwY9dBLiJlyB9KXxaMsa7/j7QK444ttqCk9gw2vPgwXjRsa62sx5I7ZGHz7o9i//BPk7065qHb/8sFquKjU2PDqw5ApFBCsVvSdcidGP/Qijq75Gsc3/XhR7d7w2jL49uwv6fuosTdgwjNv48Tmn3Dox88vqt2mPtqy4HE0NtQDaB5/ebs2YfcXb0PuooSt0eJQu019tD3hBZjKCgE0j7+iQ7uw44MXoFBrYD17zPZq6qNdn72JipNHADSPv8pTmdj42iNwUbuisaHOoXab+ijj20U4k7HDHjw7/ozF+djw6sOQK9WwWRr+uKFzNPXR4dVf4OTWX8T4HV9s+1PniL8t/hUe/sEOvYY6TreeaHAxFixYgFdffdXZZRAREREREREREREREXVqvj36Y/yTC3Fw1WdobKiDTK6AXOECr4heaDBUQ631EnPr9ZUw19ZA7aGD2lMHABBsNhhLCgAA2qBweATYVw5w9faDV0QvNNbXwUXjCoWLfZUBr4heaDBWQ+WuhUwuBwA0GPVoqNFD5eYBjc5HPJ6xKB8CBHgGhMIz2L5ygFrrDa+IXrBazHD3C4KL2tXebngPmMqL4aJ2hdzFfunMbDKi3lAFpcYNrmfvwgeAmpIzsNms8PALFuMqd094RfSCrbERbj4BULrat5HQhkTCZrVArnAR78K21NWirrocLio13FrcJW4qK4K10WJ//dm6XDRuZ9u1wM03QHzfPAPDUFddDggCXDT2XKu5AaaKEihclHBvcSG2tqIUjeZ6uHr5QunqDplcYV/1IKIXrOYGKFQh4vvm7h8Mz+AI2CxmKM9uhWGzWFBTXgSZXC5Z2aGuugKWOhM0Wm+o3D2hcFFBdrbvzbUmqNzc4ebjDwBw8wmANjQaljqTeGe9pO+DI5rHiaEKZpMRag8t1J5ecFG7QiaT2ds1GaF084Db2dUAXL18oQvviQZjNTRnV2AA7Ks4NL1P4jipMdjHztlx0tRHuvBeqNdXQKFUi+NP7eElHq9pxQjAfie/YLPBwy8YcqXS3p+1NajTV0KpdoWrj7/YR7qQKMjkcvv7dnb8Kd084BXRC5baGigDm7caaep7d99AcZw01tehtqoMCqUa7n6BYh95BoXDXGuEYLWKqwE0jRNLrQkegaEt+r4EjeYGuHr5QXl2pYSmcSJXuMAjIETsIw//YGhDo2FtqBe3QVEo1a2+D3VV5bDU14p9DwC2xkbUlBVCJpPDMyhM7CM330DownvCYjJC5aH90+eIps8ndQ4yQXBwqkgXYjab4ebmhpUrV2LGjBlifNasWaiursbPP/983mtaW9EgPDwcer0eWq32cpRNRERERERERERERERERETUacmdXUBHUqlUGDZsGDZv3izGbDYbNm/ejDFjxrT6GrVaDa1WK/kiIiIiIiIiIiIiIiIiIiIiu26/vsTTTz+NWbNmYfjw4Rg5ciQSEhJgMplw//33O7s0IiIiIiIiIiIiIiIiIiKiLqfbTzS44447UFZWhvnz56O4uBhDhgzB+vXrERgYeOEXA2jaWcJgMHRkmURERERERERERERERERERJ2Cp6cnZDJZm8/LhKYr6dSqgoIChIeHO7sMIiIiIiIiIiIiIiIiIiKiy0Kv10Or1bb5PCcaXIDNZkNhYeEFZ2zQn2MwGBAeHo78/Pw/HLBE1D3xHEB0ZeM5gOjKxnMA0ZWN5wCiKxvPAURXLn7+ia5sPAd0DRe6Pt7tt074s+RyOcLCwpxdxhVDq9XyhEJ0BeM5gOjKxnMA0ZWN5wCiKxvPAURXNp4DiK5c/PwTXdl4Duja5M4ugIiIiIiIiIiIiIiIiIiIiLoOTjQgIiIiIiIiIiIiIiIiIiKiduNEA+oU1Go1XnnlFajVameXQkROwHMA0ZWN5wCiKxvPAURXNp4DiK5sPAcQXbn4+Se6svEc0D3IBEEQnF0EERERERERERERERERERERdQ1c0YCIiIiIiIiIiIiIiIiIiIjajRMNiIiIiIiIiIiIiIiIiIiIqN040YCIiIiIiIiIiIiIiIiIiIjajRMNiIiIiIiIiIiIiIiIiIiIqN040YA6hY8//hhRUVHQaDQYNWoU0tPTnV0SEXWABQsWYMSIEfD09ERAQABmzJiBrKwsSU59fT0ee+wx+Pr6wsPDA3/7299QUlLipIqJqKMsXLgQMpkMTz75pBjj55+oeztz5gzuuece+Pr6wtXVFYMGDcKePXvE5wVBwPz58xEcHAxXV1dMnjwZx48fd2LFRHSpWK1WvPzyy4iOjoarqyt69uyJ//73vxAEQczhOYCo+9i+fTtuvvlmhISEQCaTYfXq1ZLn2/N5r6ysxN133w2tVgsvLy88+OCDqKmpuYzfBRFdrD86B1gsFjz//PMYNGgQ3N3dERISgvvuuw+FhYWSNngOIOq6LvR7QEuPPvooZDIZEhISJHGeA7oOTjQgp/v+++/x9NNP45VXXkFGRgYGDx6MG264AaWlpc4ujYgusW3btuGxxx7Dzp07sXHjRlgsFlx//fUwmUxizlNPPYU1a9ZgxYoV2LZtGwoLC/HXv/7ViVUT0aW2e/du/O9//0NsbKwkzs8/UfdVVVWFuLg4KJVKrFu3DkePHsW7774Lb29vMeett97Chx9+iMWLF2PXrl1wd3fHDTfcgPr6eidWTkSXQnx8PD799FN89NFHyMzMRHx8PN566y0sWrRIzOE5gKj7MJlMGDx4MD7++ONWn2/P5/3uu+/GkSNHsHHjRiQlJWH79u14+OGHL9e3QER/wh+dA2pra5GRkYGXX34ZGRkZ+PHHH5GVlYXp06dL8ngOIOq6LvR7QJOffvoJO3fuREhIyHnP8RzQhQhETjZy5EjhscceEx9brVYhJCREWLBggROrIqLLobS0VAAgbNu2TRAEQaiurhaUSqWwYsUKMSczM1MAIKSlpTmrTCK6hIxGo9C7d29h48aNwoQJE4S5c+cKgsDPP1F39/zzzwtXX311m8/bbDYhKChIePvtt8VYdXW1oFarhe++++5ylEhEHWjatGnCAw88IIn99a9/Fe6++25BEHgOIOrOAAg//fST+Lg9n/ejR48KAITdu3eLOevWrRNkMplw5syZy1Y7Ef15554DWpOeni4AEE6fPi0IAs8BRN1JW+eAgoICITQ0VDh8+LAQGRkpvP/+++JzPAd0LVzRgJzKbDZj7969mDx5shiTy+WYPHky0tLSnFgZEV0Oer0eAODj4wMA2Lt3LywWi+ScEBMTg4iICJ4TiLqJxx57DNOmTZN8zgF+/om6u19++QXDhw/HbbfdhoCAAAwdOhSfffaZ+HxOTg6Ki4sl5wCdTodRo0bxHEDUDYwdOxabN29GdnY2AODAgQNITU3FjTfeCIDnAKIrSXs+72lpafDy8sLw4cPFnMmTJ0Mul2PXrl2XvWYi6lh6vR4ymQxeXl4AeA4g6u5sNhvuvfdePPvssxgwYMB5z/Mc0LW4OLsAurKVl5fDarUiMDBQEg8MDMSxY8ecVBURXQ42mw1PPvkk4uLiMHDgQABAcXExVCqV+B+LJoGBgSguLnZClUR0KS1fvhwZGRnYvXv3ec/x80/UvZ06dQqffvopnn76abz44ovYvXs3nnjiCahUKsyaNUv8nLf2/wKeA4i6vn//+98wGAyIiYmBQqGA1WrFG2+8gbvvvhsAeA4guoK05/NeXFyMgIAAyfMuLi7w8fHhOYGom6mvr8fzzz+Pu+66C1qtFgDPAUTdXXx8PFxcXPDEE0+0+jzPAV0LJxoQEZFTPPbYYzh8+DBSU1OdXQoRXQb5+fmYO3cuNm7cCI1G4+xyiOgys9lsGD58ON58800AwNChQ3H48GEsXrwYs2bNcnJ1RNTRfvjhByQmJuLbb7/FgAEDsH//fjz55JMICQnhOYCIiOgKZbFYcPvtt0MQBHz66afOLoeILoO9e/figw8+QEZGBmQymbPLoUuAWyeQU/n5+UGhUKCkpEQSLykpQVBQkJOqIqKO9vjjjyMpKQkpKSkICwsT40FBQTCbzaiurpbk85xA1PXt3bsXpaWluOqqq+Di4gIXFxds27YNH374IVxcXBAYGMjPP1E3FhwcjP79+0ti/fr1Q15eHgCIn3P+v4Coe3r22Wfx73//G3feeScGDRqEe++9F0899RQWLFgAgOcAoitJez7vQUFBKC0tlTzf2NiIyspKnhOIuommSQanT5/Gxo0bxdUMAJ4DiLqzHTt2oLS0FBEREeLfB0+fPo1nnnkGUVFRAHgO6Go40YCcSqVSYdiwYdi8ebMYs9ls2Lx5M8aMGePEyoioIwiCgMcffxw//fQTtmzZgujoaMnzw4YNg1KplJwTsrKykJeXx3MCURd37bXX4tChQ9i/f7/4NXz4cNx9993iv/n5J+q+4uLikJWVJYllZ2cjMjISABAdHY2goCDJOcBgMGDXrl08BxB1A7W1tZDLpX+CUigUsNlsAHgOILqStOfzPmbMGFRXV2Pv3r1izpYtW2Cz2TBq1KjLXjMRXVpNkwyOHz+OTZs2wdfXV/I8zwFE3de9996LgwcPSv4+GBISgmeffRa//vorAJ4DuhpunUBO9/TTT2PWrFkYPnw4Ro4ciYSEBJhMJtx///3OLo2ILrHHHnsM3377LX7++Wd4enqKeyrpdDq4urpCp9PhwQcfxNNPPw0fHx9otVrMmTMHY8aMwejRo51cPRH9GZ6enhg4cKAk5u7uDl9fXzHOzz9R9/XUU09h7NixePPNN3H77bcjPT0dS5YswZIlSwAAMpkMTz75JF5//XX07t0b0dHRePnllxESEoIZM2Y4t3gi+tNuvvlmvPHGG4iIiMCAAQOwb98+vPfee3jggQcA8BxA1N3U1NTgxIkT4uOcnBzs378fPj4+iIiIuODnvV+/fpgyZQoeeughLF68GBaLBY8//jjuvPNOhISEOOm7IqL2+qNzQHBwMG699VZkZGQgKSkJVqtV/Pugj48PVCoVzwFEXdyFfg84d3KRUqlEUFAQ+vbtC4C/B3Q5AlEnsGjRIiEiIkJQqVTCyJEjhZ07dzq7JCLqAABa/friiy/EnLq6OmH27NmCt7e34ObmJtxyyy1CUVGR84omog4zYcIEYe7cueJjfv6Jurc1a9YIAwcOFNRqtRATEyMsWbJE8rzNZhNefvllITAwUFCr1cK1114rZGVlOalaIrqUDAaDMHfuXCEiIkLQaDRCjx49hJdeekloaGgQc3gOIOo+UlJSWv2//6xZswRBaN/nvaKiQrjrrrsEDw8PQavVCvfff79gNBqd8N0QkaP+6ByQk5PT5t8HU1JSxDZ4DiDqui70e8C5IiMjhffff18S4zmg65AJgiBcpjkNRERERERERERERERERERE1MXJL5xCREREREREREREREREREREZMeJBkRERERERERERERERERERNRunGhARERERERERERERERERERE7caJBkRERERERERERERERERERNRunGhARERERERERERERERERERE7caJBkRERERERERERERERERERNRunGhARERERERERERERERERERE7caJBkRERERERERERERERERERNRunGhARERERERERERERERERERE7caJBkRERERERERERERERERERNRunGhARERERERERERERERERERE7caJBkRERERERERERERERERERNRunGhARERERERERERERERERERE7caJBkRERERERERERERERERERNRuLh19AJPJhIULF2Lz5s0oLS2FzWaTPH/q1KmOLuFPEQQBRqMRnp6ekMlkzi6HiIiIiIiIiIiIiIiIiIjIqTp8osE//vEPbNu2Dffeey+Cg4O73MV6o9EInU4HvV4PrVbr7HKIiIiIiIiIiIiIiIiIiIicqsMnGqxbtw5r165FXFxcRx+KiIiIiIiIiIiIiIiIiIiIOpi8ow/g7e0NHx+fjj4MERERERERERERERERERERXQYdPtHgv//9L+bPn4/a2tqOPhQRERERERERERERERERERF1sA7ZOmHo0KGQyWTi4xMnTiAwMBBRUVFQKpWS3IyMjI4ogYiIiIhIZLPZsGHDBlRVVeHqq69GeHg4AOD06dP4/fffHWpLJpPhzjvvFB+npqYiPz8fI0aMQK9evQAAxcXFSElJcbjOW265BRqNBgCwe/dunDhxAoMGDcLAgQMBANXV1Vi3bp3D7U6dOhU6nQ4AcPDgQRw5cgS9e/fG8OHDAQB1dXVYvXq1w+1ee+21CAgIAABkZ2dj7969iIiIELdNs9ls+P777x1ut7U+CgwMxDXXXCPm/Pjjj2hoaHCoXV9fX0yePBlyeYfPtyYiIiIiIiIiIurWOmSiwYwZMzqiWSIiIiKii3LmzBls3rwZJpMJMTEx4kXssrIy7Nixw6G2zp1ocPToUezfvx+hoaHiRIPq6mqH2wWAm2++Wfz38ePHkZqaCp1OJ040MJlMF9XupEmTxIkGp0+fxo4dOyCXy8WJBmaz+aLaHTFihDjR4MyZM9ixYweGDRsmTjQAcFHtttZHffv2lUw0SEtLg8lkanebXl5eGDBgAIxGo/heEBERERERERER0cXpkIkGr7zyCk6dOoUePXp0RPNERERERA4JDw/HG2+8gV9++QVBQUFiPCQkBNOmTXOorZYrdwHAsGHDEBoaisjISDHm5+fncLsAoFKpxH8PGjQIOp1OnLwAAJ6enhfVroeHh/jvPn36QC6XIyoqSoyp1eqLatfb21v8d1RUFKZNm4bg4GBJzsW021of+fr6SnKuu+46WCyWdrfp6uqKCRMmQKFQOFwPERERERERERERSckEQRA6omEPDw9ERUVh+vTpmDFjBkaOHNkRh+lwBoMBOp0Oer0eWq3W2eUQERERERERERERERERERE5VYdtTlpeXo4FCxagtLQU06dPR3BwMB566CGsWbMG9fX1HXVYIiIiIiIJo9EIm83m7DKoE7BYLCgtLXV2GURERERERERERF1eh61o0JIgCEhLS8Mvv/yCX375BXl5eZg8eTKmT5+Om2++Gf7+/h1dwkXjigZEREREXdv777+PiooK3HfffejTp4+zyyEnKS0txauvvgq1Wo133333vC0wiIiIiIiIiIiIqP06bEWDlmQyGcaOHYuFCxfi6NGj2LdvH8aNG4cvv/wSYWFh+Pjjj9vd1scff4yoqChoNBqMGjUK6enp7Xrd8uXLIZPJMGPGjIv8LoiIiIioq6mqqsKJEydQWVkJX19fZ5dDTuTj4wOZTAaZTIaamhpnl0NERERERERERNSlddiKBg0NDVCr1RfMq6ioQGVlJXr37n3B3O+//x733XcfFi9ejFGjRiEhIQErVqxAVlYWAgIC2nxdbm4urr76avTo0QM+Pj5YvXp1u78PrmhARERE1HVt2rQJP/74I3r27IlnnnnG2eWQkxmNRnh4eHA1AyIiIiIiIiIioj+pw1Y00Ol0mDRpEl577TXs2LEDFoul1TxfX992TTIAgPfeew8PPfQQ7r//fvTv3x+LFy+Gm5sbli1b1uZrrFYr7r77brz66qvo0aPHRX0vRERERNQ17d69GwAwYsQIJ1dCnYGnpycnGRAREREREREREV0CHTbRYPHixYiMjMSyZcswYcIEeHl54brrrsOCBQuwc+dOWK1Wh9ozm83Yu3cvJk+eLMbkcjkmT56MtLS0Nl/32muvISAgAA8++GC7jtPQ0ACDwSD5IiIiIqKup6ioCPn5+ZDL5bjqqqucXQ4RERERERERERFRt9FhEw3+/ve/48svv0Rubi5OnDiBRYsWISQkBIsXL0ZcXBy8vb0xbdq0drdXXl4Oq9WKwMBASTwwMBDFxcWtviY1NRVLly7FZ5991u7jLFiwADqdTvwKDw9v92uJiIiIqPPYs2cPAKB///7w8PBwcjXUGRQVFWHx4sVYsmSJs0shIiIiIiIiIiLq0jpsokFLPXr0wAMPPICvvvoKW7duxQsvvACZTIb169d32DGNRiPuvfdefPbZZ/Dz82v361544QXo9XrxKz8/v8NqJCIiIqKOIQgCt02g88jlchw8eBBHjhyBzWZzdjlERERERERERERdlktHHyAvLw8pKSnYunUrtm7divLycowePRr/+te/MGHChHa34+fnB4VCgZKSEkm8pKQEQUFB5+WfPHkSubm5uPnmm8VY0x8TXVxckJWVhZ49e573OrVaDbVa3e66iIiIiKjzyc3NRXl5OdRqNWJjY51dDnUS/v7+cHFxgcViQUVFBfz9/Z1dEhERERERERERUZfUYRMNHnjgAWzduhWVlZWIi4vDuHHj8PDDD2PEiBFwcXH8sCqVCsOGDcPmzZsxY8YMAPaJA5s3b8bjjz9+Xn5MTAwOHTokic2bNw9GoxEffPABt0QgIiIi6saaVjOIjY3lJFISyeVyBAUFoaCgAEVFRZxoQEREREREREREdJE6bKLBl19+iYiICLz00ku49tprMXToUMhksj/V5tNPP41Zs2Zh+PDhGDlyJBISEmAymXD//fcDAO677z6EhoZiwYIF0Gg0GDhwoOT1Xl5eAHBenIiIiIi6D6vVir179wIARo4c6eRqqLMJDg5GQUEBCgsLudoFERERERERERHRReqwiQaZmZnilgnvvvsuGhoacPXVV2PChAmYOHEirrrqKsjlcofavOOOO1BWVob58+ejuLgYQ4YMwfr16xEYGAjAvk2Do20SERERUfeSlZUFo9EIDw8PxMTEOLsc6mSCg4MBAEVFRU6uhIiIiIiIiIiIqOuSCYIgXI4DHT16FNu2bUNKSgq2b9+O+vp6XH311UhKSroch79oBoMBOp0Oer0eWq3W2eUQERER0QV8/fXX2LlzJ8aPH48777zT2eVQJ3Pw4EEsXrwYYWFhePHFF51dDhERERERERERUZfUYSsanKt///7w9fWFt7c3vL29sXz5cqxbt+5yHZ6IiIiIrhAhISEICAjAiBEjnF0KdUIhISEAgOLiYlitVigUCidXRERERERERERE1PV06ESD0tJSbN26VdxCITs7GyqVCiNHjsRTTz2FSZMmdeThiYiIiOgKNHnyZFx77bXOLoM6KR8fH6hUKpjNZpSXl4vbsBEREREREREREVH7ddhEg379+iE7OxsuLi4YMWIEbr31VkycOBFxcXHQaDQddVgiIiIiIshkMmeXQJ2UXC5HUFAQ8vLyUFhYyIkGREREREREREREF6HDJhrMmDEDkyZNwtVXXw03N7eOOgwREREREQCgtrYWWVlZGDhwIJRKpbPLoU4sJCQEeXl5KCoqwtChQ51dDhERERERERERUZfTYRMNFixY0FFNExERERGdJyMjA99++y169uyJZ555xtnlUCcWHBwMACgsLHRyJURERERERERERF2TvCMbN5lMmD9/PgYOHAgPDw94enoiNjYWr732Gmprazvy0ERERER0hZHJZPD29sagQYOcXQp1ciEhIQCAoqIiJ1dCRERERERERETUNckEQRA6omGz2YyxY8fi8OHDuPHGGxETEwNBEJCZmYn169fjqquuwvbt2zv9srYGgwE6nQ56vR5ardbZ5RARERHRH7DZbLBarZ3+d0xyLoPBgB07diA0NBRDhgxxdjlERERERERERERdTodtnfDpp5+ioKAABw4cQN++fSXPHTt2DBMnTsTixYsxZ86cjiqBiIiIiK4wcrkccnmHLtpF3YBWq8W0adOcXQYREREREREREVGX1WF/hf3xxx/x8ssvnzfJAABiYmLw0ksvYeXKlR11eCIiIiK6gmRnZ8NqtTq7DCIiIiIiIiIiIqIrQodNNDh69CgmTpzY5vOTJk3C0aNHO+rwRERERHSFKCoqQkJCAubNmweLxeLscqiLMBqNOHToEE6cOOHsUoiIiIiIiIiIiLqcDts6obq6Gr6+vm0+7+vrC71e31GHJyIiIqIrxJ49ewAA4eHhUCqVTq6Guordu3dj5cqVGDx4MHr16uXscoiIiIiIiIiIiLqUDlvRwGazQaFQtH1guZzL2xIRERHRnyIIAnbv3g0AGDFihJOroa4kNDQUISEh8Pf3d3YpREREREREREREXU6HrWggCAKuvfZauLi0fojGxsaOOjQRERERXSFyc3NRXl4OtVqN2NhYZ5dDXUjfvn0xb948Z5dBRERERERERETUJXXYRINXXnnlgjl/+9vfOurwRERERHQFaFrNIDY2Fmq12snVEBEREREREREREV0ZnDrRgIiIiIjoYlmtVuzduxcAt02gi2ez2dDY2AiVSuXsUoiIiIiIiIiIiLoMubMLICIiIiK6GFlZWTAajfDw8EC/fv2cXQ51QevXr8dTTz2F5ORkZ5dCRERERERERETUpXTYigZNhg4dCplMdl5cJpNBo9GgV69e+Pvf/45JkyZ1dClERERE1I00bZtw1VVXQaFQOLka6oo0Gg0sFguKioqcXQoREREREREREVGX0uErGkyZMgWnTp2Cu7s7Jk2ahEmTJsHDwwMnT57EiBEjUFRUhMmTJ+Pnn3/u6FKIiIiIqJswm83Yv38/AMe3TbBarUhKSkJSUhIsFosYz8rKQlJSEg4dOiTJb8qtr68XYydOnEBSUpJYQ5P169cjKSkJJpNJjOXk5CApKUnc5qHJxo0bkZSUBL1eL8by8vKQlJSE9PR0Se6WLVuQlJSEyspKMVZYWIikpCSkpaVJcrdt24akpCSUl5eLsZKSEiQlJSE1NVWSm5qaiqSkJBQXF4ux8vJyJCUlYdu2bZLctLQ0JCUl4cyZM2KsqqoKSUlJ2LJliyR39+7dSEpKQl5enhgzGAxISkrChg0bJLkZGRlISkpCTk6OGDOZTEhKSsK6deskufv370dSUhJOnDghxurr68U+aunw4cNISkrCsWPH0JaQkBAA4EQDIiIiIiIiIiIiB3X4RIPy8nI888wz2LFjB9599128++672L59O/71r3/BZDJhw4YNmDdvHv773/92dClERERE1E0cOnQIDQ0N8PX1RY8ePRx6rc1mQ3JyMpKTk9HY2CjGs7OzkZycjKNHj0ry161bh+TkZDQ0NIixU6dOITk5+bxJCRs2bEBycjJqa2vFWG5uLpKTk7Fv3z5J7ubNm5GcnAyj0SjGCgoKkJycjD179khyt27diuTkZFRXV4uxwsJCJCcnY9euXZLcHTt2IDk5+byJBsnJyfj9998luWlpaUhOTkZpaakYq6ioQHJyMnbs2CHJTU9PR3JyMgoLC8VYdXU1kpOTkZKSIsnds2cPkpOTkZ+fL8aMRiOSk5OxefNmSe7+/fuRnJyM3NxcMVZXV4fk5OTzJiUcOnQIycnJkokGZrMZycnJ501KOHr0KJKTk3H8+HG0JTg4GID9/ywt+5eIiIiIiIiIiIj+WIdvnfDDDz+cd/cWANx5550YNmwYPvvsM9x111147733OroUIiIih1VXV6OxsRF+fn4A7Bcomy6chYWFicu1V1RUoKamxqG2NRoNAgMDxcf5+fmw2WwICQmBUqkEYL9b2GAwONSuUqkU79IFgDNnzqCxsRGBgYHQaDQA7HcWV1VVOdSuQqFAWFiY+LioqAhmsxn+/v5wc3MDANTU1KCiosKhdmUyGSIiIsTHpaWlqKurg4+PDzw9PQHYLzq2vBDaXq31kZeXF3Q6HQD7BcqLuZO5tT7y9PSEj48PAKCxsVFy13d7tdZH7u7urY4/R7TWR22NP0e01kdtjT9HtNZH546/pgvQw4cPb3WbrpYsFgsSExNxzTXXICIiAnK5HOPHjwcAyZYLUVFRGD9+PHr16iV5/fjx4yEIAlQqlRgLCwvD+PHjER0dLcmNi4uDxWIR+xEAQkNDMX78eISHh0tyR48ejfr6enh4eIixwMBAjB8/XvIeAsDIkSNRU1MDrVYrxgICAjB+/HgEBARIcocNG4ZevXrB29tbjPn6+mL8+PHw9fWV5A4ZMgTh4eHi2AXs7//48ePFPmgyaNAgBAYGSo7n6emJ8ePHw93dXZI7YMAAeHt7IygoSIy5u7tj/PjxkvcGAGJiYuDm5ib5njUaDcaPHw8XF+l/V/r06QOlUik5ZyiVSowfP/68cdCrVy/YbDZERkYCAPbt24fNmzcjJiYGN910k1i/h4cHampqUFxcLOYSERERERERERHRH5MJgiB05AECAwPx9ttv47777pPEv/76azz77LMoKSnB0aNHMWHCBJSVlXVkKRfFYDBAp9NBr9dL/rBLRETdX2lpKV577TUMGzYM999/PwD7kutz5swBALzzzjvixdvExET89ttvDrUfExODJ554Qnz8zDPPoK6uDv/5z3/EC3k///wzfv31V4faDQsLw4svvig+fuWVV1BWVoZnnnkGPXv2BGBfhn3lypUOtavT6bBgwQLx8TvvvINTp07h4YcfxpAhQwDY73j+8ssvHWpXLpfjo48+Eh8vXrwYBw8exMyZM3H11VcDADIzM7Fo0SKH2m2q8dw+uvnmm3HjjTcCsF9cb/k9tVdrfTRp0iTcdtttAOwTVFr2QXu11kcjRoxodfw5orU+amv8OaK1Pmpr/DmitT5qOf4EQcCLL74IvV6PefPmnXdR/lxN76WXlxf++9//SiYX0JUjLS0N33zzDaKiovDcc8+J8YSEBGRnZ+Pee+/FmDFjnFghERERERERERFR19HhKxrMmTMHjz76KPbu3Svun7t79258/vnn4h+hf/31V/GP30RERJ1FZmYmbDYbMjIyxAu9AMQ7f1vePevm5ia5I7g9mu4Eb+Lt7Q1XV1fI5c07G11Mu+dOjNPpdLBarZI7g9Vq9Z+ut+kO/pZ3eatUKofbbfn9tmxXrVaLMaVS6XC7QOt91PJuaoVCcVHtttZHTRMamo57Me221kfn3il+Me221kdtjT9HtNZHbY0/R7TWRy3rlclkiIqKgqen5wUnGQBAbGws8vLy0KtXL04yuIL1798f99xzD/r06SOJBwcHIzs7+6JWNyEiIiIiIiIiIrpSdfiKBoD9DsKPPvoIWVlZAIC+fftizpw5mDlzJgD7Ursymey8ZVQ7A65oQER05frqq6+wa9cu3Hjjjbj55pudXQ4REXWAHTt24LvvvsOAAQPw2GOPObscIiIiIiIiIiKiLqHDVjQ4deoUevToAQC4++67cffdd7eZ6+jdc0RERJdDbm4uAPu+7URE1D0FBwcDAAoLC51cCRERERERERERUdchv3DKxYmNjcXAgQPx4osvIj09vaMOQ0RE1CFqa2tRUlICgBMNiLqqNWvW4Mcff4TJZHJ2KdRJNDQ0ICMjA+vXrxdjTdtvVFVVoa6uzlmlERERERERERERdSkdNtGgvLwcCxYsQGlpKaZPn47g4GA89NBDWLNmDerr6zvqsERERJdE02oGfn5+5+1lT0Sdn16vx8aNG7Fp0ybx80xUV1eHzz//HGvWrEFtbS0AwM3NDTqdDgBQXFzszPKIiIiIiIiIiIi6jA6baKDRaHDzzTfj888/R1FREVatWgVfX188//zz8PPzw4wZM7Bs2TKUlZV1VAlEREQXjdsmEHVtWq0WDz/8MMaNG4f+/fs7uxzqJLy8vBAbG4sJEybAYrGIcW6fQERERERERERE5JgOm2jQkkwmw9ixY7Fw4UIcPXoU+/btw7hx4/Dll18iLCwMH3/88eUog4iIqN040YCoa5PJZBg4cCDuuusuyGQyZ5dDncijjz6K22+/XVzFAGjePqGoqMhZZREREREREREREXUpMkEQBGcWUFFRgcrKSvTu3duZZbTJYDBAp9NBr9dDq9U6uxwiIroMBEHA888/j5qaGjz77LOIjo52dklE5ACbzQa5/LLMp6VuoqSkBLW1tQgODoZGo3F2OURERERERERERJ2eS0c1vH379gvmyGQyjBs3Dr6+vh1VBhERkcMqKipQU1MDhUKBsLAwZ5dDRA44ffo0li1bhptvvhnDhw93djnUSQmCgLKyMmi1Wmg0GgQGBjq7JCIiIiIiIiIioi6lwyYaTJw4UVymtq1FE2QyGaxWa0eVQEREdFGatk0ICwuDUql0bjFE5JBNmzahrKwMhw8f5kQDatOiRYtw7NgxPPTQQxg6dKizyyEiIiIiIiIiIupyOmyigbe3Nzw9PfH3v/8d9957L/z8/DrqUERERJdU00SDqKgop9ZBRI67++67ERISghEjRji7FOrEAgMDcfz4cVRWVoqxPXv24OTJk4iLi+NqNkRERERERERERBfQYRMNioqK8NNPP2HZsmV46623MHXqVDz44IOYMmWKuNIBERFRZ1RaWgqAEw2IuiKNRoMbb7zR2WVQJzd16lTccsstUKlUYmzXrl04cuQIgoODOdGAiIiIiIiIiIjoAmRCW/saXEJ5eXn48ssv8dVXX6GhoQGzZs3Cq6++CheXDpvncMkYDAbodDro9XpotVpnl0NERJeBIAioqqqCq6srXF1dnV0OEbVDfX09NBqNs8ugLiwtLQ1FRUUYOnQooqOjnV0OERERERERERFRp3ZZJho0ycnJwYMPPoht27ahrKwMPj4+l+vQF40TDYiIiIg6N5vNhjfeeAP+/v6444474O3t7eySiIiIiIiIiIiIiLo1eUcfoKGhAd9++y0mT56MgQMHws/PD2vXru0SkwyIiIiIqPPLyclBcXExTpw4AbVa7exyqIvIzs7GJ598gh9//NHZpRAREREREREREXU5HTbRID09Hf/85z8RFBSEt99+G9OnT0d+fj5++OEHTJky5aLb/fjjjxEVFQWNRoNRo0YhPT29zdzPPvsM48aNg7e3N7y9vTF58uQ/zCciIlq5ciU++eQTHD9+3NmlEFE79ezZEy+//DLuu+8+uLm5Obsc6iLq6+tx+PBhHDx4UIzV1NQgOzsb9fX1TqyMiIiIiIiIiIio83PpqIZHjx6NiIgIPPHEExg2bBgAIDU19by86dOnt7vN77//Hk8//TQWL16MUaNGISEhATfccAOysrIQEBBwXv7WrVtx1113YezYsdBoNIiPj8f111+PI0eOIDQ09OK/OSIi6rYOHz6M0tJSTJgwwdmlEJEDgoKCEBQU5OwyqAvp1asXbrnlFvTt21eMvf322ygrK8PcuXMlcSIiIiIiIiIiIpKSCYIgdETDcvmFF0uQyWSwWq3tbnPUqFEYMWIEPvroIwD2/XjDw8MxZ84c/Pvf/77g661WK7y9vfHRRx/hvvvua9cxDQYDdDod9Ho9tFptu2slIqKuKScnBzk5ORg9ejTvjCbq5Orr62GxWODp6ensUqibWLx4MQ4ePIjbb78dEydOdHY5REREREREREREnVaHbZ1gs9ku+OXIJAOz2Yy9e/di8uTJYkwul2Py5MlIS0trVxu1tbWwWCzw8fFpM6ehoQEGg0HyRUREV47o6Ghcc801nGRA1AVs2bIF8+fPx/bt251dCnUTwcHBAICioiInV0JERERERERERNS5ddhEg0utvLwcVqsVgYGBknhgYCCKi4vb1cbzzz+PkJAQyWSFcy1YsAA6nU78Cg8P/1N1ExEREdGlJwgCjh8/joaGBk4MootmtVqRlZWFjRs3AgBCQkIAAIWFhc4si4iIiIiIiIiIqNNzuRwHKSwsRGpqKkpLS2Gz2STPPfHEE5ejBCxcuBDLly/H1q1bodFo2sx74YUX8PTTT4uPDQYDJxsQEV0htm3bBrVajYEDB8LDw0Py3MmTJ2G1WhERESH+HNHr9SgpKYG7uztCQ0PF3JycHFgsFoSHh8PV1RUAYDQaUVRUBDc3N4SFhYm5p0+fRkNDA8LCwsSLpTU1NSgsLIRGo0FERISYm5eXh/r6eoSEhIj11dbWoqCgAGq1GpGRkWJuQUEBamtrERwcLC4rX1dXh/z8fCiVSkRHR4u5hYWFqKmpQWBgIHQ6HQD7kvR5eXlQKBTo2bOnmFtUVASj0Qh/f394e3sDsK86lJubC7lcjl69eom5JSUl0Ov18PPzE1cTamxsxKlTpwAAffr0EXNLS0tRXV0NHx8f+Pn5AbBfADx58iQA+17qTdsylZeXo7KyEt7e3vD39wfQfNEZAHr27AmFQgEAqKioQEVFBXQ6nWSy4vHjxyEIAqKjo6FUKgEAlZWVKC8vh6enp3hXc8u+j4qKgkqlAgBUV1ejtLQUHh4e4oXJln3fcpwYDAYUFxef1/e5ubkwm82Svm8aJ66urpLfP5r6PjQ0FO7u7gAAk8mEM2fOnDdO8vPzUVdXJ+n7pnGiUqkQFRUl5jaNk9b6vq1xEhAQAC8vL0nfnztOiouLYTAYJH1vsViQk5MDmUyG3r17i7lN48TX1xe+vr7n9X3v3r0hk8kAAGVlZaiqqhLHyRNPPIGjR4+iX79+ILoYFosFixYtgs1mw1VXXSVZ0UAQBHHsERERERERERERkVSHr2jw5ZdfIjo6Gg8++CDeeecdvP/+++JXQkJCu9vx8/ODQqFASUmJJF5SUoKgoKA/fO0777yDhQsXYsOGDYiNjf3DXLVaDa1WK/kiIqLuTxAEJCUl4euvv0Z5efl5z3/22WdISEiQPHfkyBEkJCTg559/luR+8cUXSEhIkKy4k5WVhYSEBKxcuVKS+8033yAhIQF5eXli7NSpU0hISMDy5cslucuXL0dCQoJ4oR6wX1ROSEjAN998I8ldtWoVEhISkJWVJcaKi4uRkJCAZcuWSXJ//vlnJCQk4PDhw2KsoqICCQkJ+OyzzyS5ycnJSEhIwP79+8WYwWBAQkICPv74Y0nuhg0bkJCQgN27d4sxk8mEhIQEfPDBB5LcrVu3IiEhQbIdksViQUJCAhISEiTbLaWmpiIhIQHbtm0TY4IgiLl1dXVifNeuXUhISMDmzZslx1u0aBESEhJgNBrF2L59+5CQkIBff/1Vkrt48WIkJCSgsrJSjB08eBAJCQlYs2aNJPfzzz9HQkICSktLxVhmZiYSEhKwevVqSe5XX32FhIQEnDlzRoydOHECCQkJ+OGHHyS5iYmJSEhIQG5urhjLzc1FQkICEhMTJbkrVqxAQkICTpw4IcYKCwuRkJCAr776SpK7evVqJCQkIDMzU4yVlpa22vdJSUlISEjAwYMHxVhlZSUSEhLw6aefSnLXr1+PhIQEZGRkiDGj0YiEhAQsWrRIkrt582YkJCRg165dYqy+vl7sT0EQxPj27duRkJCA1NRUAIBMJsOAAQPESShEjtJoNBg0aBBGjBghrp4ml8tRW1sLvV7v7PKIiIiIiIiIiIg6rQ5f0eDll1/G/Pnz8cILL/ypPwKrVCoMGzYMmzdvxowZMwAANpsNmzdvxuOPP97m69566y288cYb+PXXXzF8+PCLPj4REXVvFRUVMJlMcHFxkaxO0CQgIABubm7i3e8A4OrqiqCgIPHO/ib+/v5wcXGR5Go0GgQFBYl3dzfx8/ODzWYT75QH7JPegoKCxLu7m/j6+qK+vh5qtVqMqVQqBAUFiasANPHx8UFQUJBkFR+lUomgoCDxbvQm3t7eCAoKkiw/7+LigqCgoPNWdvDy8jovVy6XIygoSPI9AIBOp0NQUJB4B37L3HPvEvb09DzveDKZrNXJhE25504GbMpt+fuGh4dHm7mNjY2SXDc3NwQFBYl39jcJCAhAXV0dXFxczss9t+8DAgKgVqsluW2NEz8/P8hkMsn79kfjxGKxSPq+rXHS1PetjZNzc5v6vmnlDaB5nJz7nrXW903jpOXrW+a27HuFQoGgoCDJewMAWq32vNwL9X3TSg1El8Ijjzwieezv74+SkhIUFRWdd74kIiIiIiIiIiIiO5nQ8jaxDuDr64v09HTJcroX6/vvv8esWbPwv//9DyNHjhTv+Dt27BgCAwNx3333ITQ0FAsWLAAAxMfHY/78+fj2228RFxcntuPh4XHehZO2GAwG6HQ66PV6rm5ARNSN7d69G1988QWioqLw3HPPQRAE7N27FzExMe3+mUFERF3fkiVLsH//fvztb3/Dtdde6+xyiIiIiIiIiIiIOqUOX2f2wQcfxIoVKy5JW3fccQfeeecdzJ8/H0OGDMH+/fuxfv16cc/lvLw8FBUVifmffvopzGYzbr31VgQHB4tf77zzziWph4iIuo+mJemb9q8vKirCsmXL8PLLL8NisTivMCIiuixqampQV1eHkJAQAJD8v4KIiIiIiIiIiIikOnzrhAULFuCmm27C+vXrMWjQIMky0gDw3nvvOdTe448/3uZWCVu3bpU8brmPMRER0R85d6KByWRCWFgYvLy8zvvZRURE3cs333yDtLQ03H333QgODgYAFBYWOrkqIiIiIiIiIiKizuuyTDT49ddf0bdvXwCQ7Mn8/+3dd3RU1fo38O/MJJn03jsJgUjo0kGDFBFB5XKj6OUHiOhVBxAIRUABFS8IglIVsYAN4YqCNEG6oPTQlRZSSSOkT8okM+f9I+/sm0MmmgGGgeT7Wcu1mDNP9tmTZ892Mvs5+9x8f2YiIiJrqKqqQlpaGoD/FRpERUVh+vTp3M2AiKgRcHd3BwBkZ2eja9euAICsrCxIksS/WYiIiIiIiIiIiEyweKHBwoUL8cUXX+D555+39KmIiIhuSXp6OqqqquDk5AQfHx/Zc9zNgIio4YuNjUVsbCxcXV2h1+uhUqlQXl6O/Px8eHp6Wrt7RERERERERERE9xylpU+gVqvRvXt3S5+GiIjoltW8bYJCoUBRUREMBoN1O0VERHeNq6srXF1dAQAqlQq+vr5wcHBAfn6+lXtGRERERERERER0b7L4jgbjxo3D0qVLsWTJEkufioiI6JbULDQAgBUrViA/Px+jRo1C06ZNrdcxIiKyiokTJ8LBwYG3TSAiIiIiIiIiIqqDxQsNjh49ij179mDLli2IiYmptQX1jz/+aOkuEBER/aWahQZlZWXIzs5GeXl5rdsoEBFRw5Weno49e/bAwcEBTz/9tLW7Q0REREREREREdE+zeKGBu7s7Bg8ebOnTEBER3RKtVoucnBwA1YUGDg4OeO+995CSkgI3Nzcr946IiO6W8vJyHD58GC4uLoiLi+NuBkRERERERERERH/B4oUGq1atsvQpiIiIbplxNwNfX184OTkBAGxtbXnLBCKiRiY8PBz9+vVDs2bNoNVq8e233+L69euYPn06lEqltbtHRERERERERER0T7F4oQEREdG9zMnJCZ07d+buBUREjZyNjQ2eeuopAIDBYMD58+dRVVWFGzdu8FY6REREREREREREN1FIkiRZuxP3sqKiIri5uaGwsBCurq7W7g4REVnQoUOHcPjwYcTGxqJ9+/bW7g4REVnR0aNH4erqioiICNjZ2Vm7O0RERERERERERPcU7mhARET0/yUkJODy5ct44IEHrN0VIiKyAoPBgIyMDFy+fBmxsbG8ZQIREREREREREVEdWGhARESNVmlpKfLy8hAQEACVSoVnn30Wp06dQuvWra3dNSIisgJJkrBw4UJUVFSgadOmCAkJsXaXiIiIiIiIiIiI7kkWLTSQJAlXrlyBTqdD8+bNYWPDugYiIrp3nD9/HqtWrUJUVBQmTJgALy8v9O7d29rdIiIiK1GpVIiJiUF5eTlKS0tx5MgRaLVa9OrVy9pdIyIiIiIiIiIiuqdYbOU/KSkJTz75JP744w8AQHBwMH744Qd06NDBUqckIiIyi1arhb29PYKCgqzdFSIiuke8+OKLAIDc3FwsXrwYCoUCBw8erNfPhoWFYcSIEeLxwoULodVq8corr8DX1xcAsH//fuzfv9+sPnl7e0Oj0YjHH330EXJzczF8+HCEh4cDAI4dO4aff/7ZrHYdHR0xadIk8fjLL79ESkoK/vnPfyImJgZAdVHeDz/8YFa7ADBz5kzx7/Xr1+OPP/5A//790bFjRwBAcnIyvvrqK7PbjY+Ph7OzMwBg27ZtOH78OGJjYxEbGwsAyMnJwYoVK8xu11SOOnTogMcffxxA9WeGhQsXmt2uqRy1aNECcXFxIuadd94xu11TOapr/JnDVI7qGn/mMJWjm8ff4cOHUV5ejrCwMAQFBcHOzs6scxARERERERHR3WWxQoPJkyejqqoK33zzDezt7bFgwQK8/PLLOHHihKVOSUREZJaePXvi4YcfRklJCdatW4c2bdqgWbNmvCc3ERHB09MTnp6eyMvLQ1ZWVr1+xsXFRfY4OzsbJSUlqKqqEseKi4vr3V5dbty4gaysLOh0OnGstLTU7HaNC/ZGxtdaXl4ujlVUVNx2fwsKCpCVlYXS0lJxTKfT3VK7kiSJfxcVFSErKwvFxcXimF6vv6V2TeWosLBQHDMYDLfUrqkcBQQEyGJupV1TOapr/JmjPjkyjj9zmMrRzeNv3759SE1NBQAolUoEBgYiLCwMoaGhCAsLQ2BgIHdJJCIiIiIiIrqHKKSa39TcQf7+/li/fj169OgBAMjMzERwcDCKiorg5ORkiVNaRFFREdzc3FBYWAhXV1drd4eIiCzg5MmT+PTTT+Hl5YV33nkHCoXC2l0iIiIrq6ysRFFREW7cuFHvn3FwcEBISIh4nJiYCL1ej7CwMKjVagDVi7TmtAkAdnZ24qp4oPpKc51Oh+DgYDg6OgKoXszPyckxq12VSoXIyEjxOC0tDWVlZQgICBCL1sXFxcjMzDSrXQBo1qyZ+HdmZiaKi4vh6+sLd3d3ANUL2unp6Wa3GxERIRabc3JyUFBQAC8vL3h5eQGoXnRPSUkxu11TOXJ3dxe7HFRVVeHq1atmt2sqR87OzggMDBQxly5dMrtdUzmqa/yZw1SO6hp/5jCVo5vH3/bt23H16lWkpKTIChOMbGxsZMUH/v7+8Pf3F98vlJSU4Pr167C3t5cVcyQnJ8Pcrz28vLzE3/9lZWXIysqCra0tgoODRUxaWpqsQKU+3N3d4eHhAaD695CRkQGVSoXQ0FARk5GRgYqKCrPadXV1Fb/fqqoqpKWlAQCaNGkiYrKzs2WFJPXh5OQk3gOSJCE5ORkAEBoaCpVKBaB69xdT+fordeWo5k4WeXl5smKf+qgrR/7+/nBwcAAAFBYWIi8vz6x268qRr69vrfFnLlM5MjX+zGUqR6bGn7lM5aiu8WcOUzmqa/yZw1SO7tYcQURERETUGFis0ECpVCIzMxN+fn7imLOzM86ePSv7Q+pex0IDIqKGSZIkUVCQlpaGX3/9FZ6enujfv7+Ve0ZERNa2efNm7Nq1CwMGDMCjjz5q7e4QNSqSJKGgoAApKSlISUlBamoqUlNTTd4G4qWXXkK7du0AVN+aYtWqVWjevDnGjRsnYiZNmmT2Avtzzz2Hhx56CABw4cIFLFmyBIGBgXjzzTdFzFtvvWV2cc/AgQPF7TjS09MxZ84cuLq64r333hMxCxcuRGJiolnt9uzZE8888wyA6kXaadOmQaFQYPny5SLmk08+wenTp81qt0OHDnjhhRcAVO/qMWbMGADA+++/LxZv16xZU+/byxjVlaNZs2aJ75A2b95s9u1g6spRfHw8mjZtCgDYu3cvvv/+e7ParStHpsafOerKkanxZy5TOTI1/sxlKkemxp+5TOWorvFnDmvOEUREREREjYHF9h1UKBQoKSkRFclAdfFBcXExioqKxDEu3hMRkTXs378fe/fuxUMPPYQ+ffpg6NCh1u4SERHdIxwdHVFZWXlLV9wT0e1RKBTw8PCAh4cH2rZtC6C6+ODGjRtITU1FcnIyUlJSkJ+fL3ahAAC1Wg1vb+9a3zF4eXmJXSXqy97eXvzb1tYW3t7e4kpwIw8PDxgMBrPardkPGxsbeHt717qFhJubG7y9vc1qt+aukUqlEt7e3rV26HJ1dTW73Zv7Zvz5mm07OTmZ3W5dOTJegQ9U/67MbbeuHNW85YaDg8Nt/x6MOTI1/sxRV45MjT9zmcqRqfFnLlM5MjX+zGUqR3WNP3NYa44oLS3FwYMH0bdvX+6WR0REREQNmkV3NLj5w3TNq0eN/zZ3K8e7jTsaEBE1TKtWrcKxY8dkV/YQEREB1VvRa7Va+Pn5cYGAiIiI6k2v12P+/PlIS0tD7969MXjwYH6WICIiIqIGy2I7Guzdu9dSTRMREd024z0+VSoV8vLy4Onpad0OERHRPcPFxQUuLi7W7gYRERHdZ1QqFXr27Imvv/4au3fvhqOjI2/PR0REREQNlsUKDVJSUjBkyBDZNmVERET3gpKSEly/fh0AsGvXLvz000+YPHkymjRpYuWeERERERER0f2sa9euKCsrw/r167F582Y4OjoiNjbW2t0iIiIiIrrjlJZqeOTIkSgsLLRU80RERLcsJSUFQPV9PgMCAuDs7IzQ0FAr94qIiO4lubm5WL9+PdauXWvtrhAREdF9plevXuIWfevWrcPRo0et3CMiIiIiojvPYoUGkiRZqmkiIqLbkpSUBACIiIhAfHw8Zs+eDZVKZeVeERHRvUSn02HPnj24du0aDAYDACA/Px8ajQavvfaaLPa7776DRqPB1q1bxbHS0lJoNBpoNBro9Xpx/IcffoBGo8GGDRvEscrKShFbVlYmjm/ZsgUajQbr1q2TnW/MmDHQaDSywu5ffvkFGo0GX331lSw2Pj4eGo0GOTk54ti+ffug0Wjw2WefyWKnTp0KjUaD9PR0cezQoUPQaDT46KOPZLGzZs2CRqPB1atXxbHjx49Do9Hgww8/lMX+5z//gUajwYULF8Sxs2fPQqPRYP78+bLY999/HxqNBqdPnxbHLl68CI1Gg9mzZ8tiFy9eDI1Gg2PHjoljSUlJ0Gg0mDFjhix2xYoV0Gg0+O2338SxjIwMaDQavP7667LYL774AhqNBnv27BHHcnNzodFoMGHCBFnsN998A41Gg+3bt4tjRUVFIp81/fe//4VGo8GmTZvEsfLychGr0+nE8Y0bN0Kj0WD9+vXimCRJIrakpEQc//nnn6HRaLBmzRrZ+caNGweNRoMbN26IY7t374ZGo8GqVatksZMnT4ZGo0FmZqY4duDAAWg0GnzyySey2DfffBMajUYUbgLAkSNHoNFosHTpUlns22+/DY1Gg0uXLoljp06dgkajwcKFC2Wx3377LZYtW4bExERxrLKyEhUVFSAiuh8NGDAAPXv2BAB89dVXOHPmjHU7RERERER0h1ns1gkAoFAoLNk8ERHRLUlOTgYAcasE3uaHiIhuFhAQgLCwMLRu3RpKpcXqs4no/7t06RKuX7+ORx99VHZs+fLliIqKkhV5XLx4EZIkISwsDA4ODgCqCzwyMzPh6OiIkJAQEZuUlASdToeQkBA4OjoCAIqLi5GRkQEHBwfZrlYpKSkoLy9HUFAQnJ2dAQBarRbp6elQq9UIDw8XsWlpaSgtLUVgYCBcXFwAAGVlZUhNTYWdnZ3sllzp6enQarXw9/eHm5sbgOoik5SUFNjY2CAyMlLEZmRkoLi4GL6+vvDw8ABQXfiUlJQElUqFpk2bitjMzEwUFRXBx8cHnp6eAKqLM65evQqFQoFmzZqJ2OzsbBQUFMDLywve3t4AAL1ejytXrgAAoqKixFyXk5OD/Px8eHh4wNfXFwBgMBhw+fJlAEDTpk1FkW5ubi5u3LgBd3d3+Pn5yXInSRIiIiJga2sLAMjLy8P169fh6uqKgIAAEXvlyhXo9Xo0adIEdnZ2AICCggJkZ2fDxcUFgYGBIjYxMRFVVVUICwuDvb09AKCwsBBZWVlwcnJCcHBwrdyHhoaKcWLM/c3jJDk5GRUVFQgODoaTkxOA6tutXbt2Dfb29ggLCxOxqampKCsrk+W+tLQUaWlptXJvHCc1c28cJ7a2toiIiBCx165dQ0lJCfz8/ODu7g4AqKioQHJycr1ybxwnN+c+KysLhYWF8Pb2hpeXFwCgqqpKFPU0b95cxBpz7+npCR8fn1q5rzlOjLmvOU6A6vcnAERGRsLGpvprxxs3biA3Nxdubm7w9/cXscZxUjP3xnFyc+6N4yQ8PFz8/WYcJ87OzggKChKxV69eRWVlpSz3d3uOAKq/F42Li0NpaSmOEJUH+wAAMd1JREFUHj2Kzz77DGPGjJHlh4iIiIjofqaQLLT1gFKpRMuWLcUfFXVJSEiwxOnvmKKiIri5uaGwsBCurq7W7g4REd0mSZIwZcoUaLVaTJw4UfbFLhERUU0GgwFVVVVi8cNgMECr1QKAWFwCqhcMKysrYWdnJxY/asY6OzuLImxjrK2trVgkkyRJXKHu5OQkFnFMxQLVCyA3x1ZUVECn08HGxkYsqtSMdXR0FAuDOp0OFRUVtWJLSkogSZLJWJVKJRZg6oqtrKxEeXl5rVitVguDwQAHBwfx96ExVqlUikW9mrH29vZicbKqqgplZWVQKBRiYQeoXtjT6/WyWL1ej9LS0jpj1Wq1yKcx9uZ8lpWVoaqqShZbV+6NsXXl3tQ4qZnPOzFO/i73NWPryv1fjZPbyb0x1lTub469cuUKcnJy0KZNGzEmDh48iDVr1qB169Z45ZVXROxbb72FnJwcTJkyRSzsHTt2DKtWrUJ0dLRs15HZs2cjMzMT48ePF4t7p06dwsqVK9GkSRNMnjxZxM6bNw8pKSl49dVX0apVKwDAn3/+iaVLlyI4OBjTp08XsR9++CEuX76MUaNG4cEHHwRQvQi+cOFC+Pj44O233xaxy5cvx/nz5zFs2DB07doVQPUC9Ny5c+Hm5oa5c+eK2M8++wwJCQkYMmSIuKd7Tk4O3nrrLTg4OMh2gvjqq69w+PBhDBo0SBRoFBQUYPr06VAqlVi2bJmIXbt2LX799Vc8/vjjGDhwIIDq98WkSZMAAEuWLBE5+vHHH7Fr1y706dMHgwcPBlD9fhk7diwAYMGCBSJ3W7ZswbZt2/DQQw/hueeeE+cbO3Ys9Ho95syZIxbNd+7ciQ0bNqBLly4YPny4iJ04cSLKysowa9YsUaywf/9+rFu3Du3atcNLL70kYqdNm4bCwkJMmzZNLBYfOnQIX3/9NWJiYjB69Oha46TmZ/6EhAR89tlntYpX5syZg/T0dIwZMwYtWrQAAJw7dw4fffQRQkNDMXXqVBG7YMECXL16Ff/+97/Rtm1bANUL5osWLYK/vz9mzpwpYpcsWYILFy7g+eefR6dOnQBUFzXMnz8fnp6eePfdd0XsihUrcObMGfzrX/9Cjx49AFQXFMyePRvOzs6yHWBWrVqFY8eOIS4uDr169QJQvZg/Y8YM2NraYvHixSL222+/xW+//YYnnngC/fv3B1D9njfu5lJzx5rvv/8ee/fuRb9+/fDUU08BqJ4Lxo8fD6B63Bvnup9++gk7duzAI488gqefflq0YdzNZd68eWIO3L59OzZt2oTu3btj6NChInb8+PHQ6XSYPXu2KILYs2cP1q9fjw4dOuCFF14QsVOmTEFJSQnefPNNUYBQ1xzx5ptvIi8vz6pzhMFgEHOvXq/Hp59+ijNnzsDe3h7jxo2TFa8QEREREd2vLLqjQb9+/WRf7hAREVnb9evXodVqoVQqsXz5cgwaNAgPP/ywtbtFRET3IKVSKRaajY9rLhwb2dvbywoBzI1VKBT1jgVgMlatVpvcocdUrJ2dnex1GZn6282cWFtbW7HgX1PNQoJbibWxsTH5OmouUhupVKrbjq25AG9UVz7NibXUOLkTub/dcVJXPs2Jbdq0qeyKbQDo0aMH2rdvL7uthCRJ8Pb2hkqlkrVjb2+PgIAAsVhpZLwqu+ZrMcYar+w38vb2hk6nk/0+7ezsTMZ6eXmhpKRElidjrPEKcyNPT08EBATIxoutrS0CAgJq/Y48PDwQEBAgG7MqlQoBAQG1xoSbm1utNoyxN98WzBhbM9cKhULsLFBzR0rjjgM3jwtTsS4uLggICBBX69eM1ev1sh1hnJ2dTcb6+/ujvLxcdqGKk5MTAgICxK4ORn5+fnB0dJTl3sHBweTv3cfHByqVymTubx4n3t7eohjJSK1W15n7srIyk7k3FXtz7o2xN/8ejOOkZu5tbGxqHQMAd3d3BAQEyOZMY+5vfn+Zyr1SqZTtKmF0K7m/+aIcU7F/lfvKykrZeDXm3ligUjNWq9XKxomjo6PJ3Pv6+kKtVlttjtDpdPjggw/Qo0cPdO/eHSqVCqNGjcLy5ctx6dIlLFu2DPHx8SZzQERERER0P7HojgZZWVmy7dPuR9zRgIioYTl69ChWr14NtVqNiooKvPjii2jfvr21u0VEREREREQNgHFXBldXV8ycOVMUipSXl2Px4sVISUmBu7s7Jk6cWKvwgYiIiIjofmKxHQ1qVi4TERHdK5KTkwEAXbt2Rfv27WX35yQiIiIiIiK6HT179oRer0dwcLBsNwp7e3uMHj0aH374IXQ6HSx07RcRERER0V1jsUKDv/qwLEkStm/fjs8//xzr16+3VBeIiIhqMRYaNGnSpNb2vERERERERES3Q6lUom/fvrJjly9fxrlz5/DEE09g7NixAFDr9hBERERERPcbixUaJCUl1bqXWVJSEr744gusXr0a169fR58+fSx1eiIioloqKyuRnp4OoLrQgIiIiIiIiMiSdDodvvzyS+Tl5cHOzg4DBgyQPZ+QkIDCwkI88sgj4tjx48eRn59v1nmCg4PxwAMPiHPu378fANCnTx+x8+yZM2eQnZ1tVru+vr5o06aNeLxz504AwMMPPwy1Wg0AuHDhAtLS0sxq193dHR07dhSP9+/fD51Ohy5dusDFxQUAkJiYiKtXr5rVrpOTE7p16yYeHzp0CCUlJXjwwQfh6ekJAEhLS8OFCxfMatfW1hY9e/YUj405atWqFfz9/QEA2dnZOHPmjFntAqZz1Lx5c4SGhgIA8vLycOLECbPbNZWjiIgIREZGAgBKSkpw6NAhs9s1laO6xp85TOWorvFnDlM5qmv8mcNUjuoaf+YwlaO6xp85zJ0jFAoFYmJiEBAQYNZ5iIiocbFYoUFYWBgAoKKiAuvXr8fnn3+OgwcPQq/XY8GCBRg1ahRcXV0tdXoiIqJabGxs8Oqrr2LNmjVISEjAo48+au0uERERERERUQNmZ2eHuLg4/PLLL+jdu7fsuePHj2P16tVwcHCQFRocOHAAly9fNus8Dz30kGwRccOGDQAgu9Dr6NGjSEhIMKvddu3ayRZ6je126dJFLGKfPn3a7IXlpk2byhZ6t27dipKSEsTExIhF7AsXLmDr1q1mtevv7y9b6N21axcyMzMRGhoqFrGvXr0qXkd9OTk5yRZ6jTny9PQUi9jXrl0zu13AdI6eeeYZsYidm5t7S+2aytHjjz8uFrGLi4tvqV1TOapr/JnDVI7qGn/mMJWjusafOUzlqK7xZw5TOapr/JnjVuaITZs2YciQIejevbtZ5yIiosbDYoUGJ06cwOeff47vvvsOTZs2xbBhw/Ddd98hODgY/fr1Y5EBERHddQqFAikpKbhx4wYuXbrEQgMiIiIiIiKyuLZt26JNmzbiqmEA+O233+Dr64tu3bpBqVTK4h944AGx4FpfNXfts7GxQefOnWvFREVFwdbW1qx2jQupRsZ2bWz+97VyWFiYyfP9FT8/P9njBx98EOXl5XBwcBDHgoKCzG7Xzc1N9rh169YIDQ2VfRft5+dndrvGBXsjY45q5snT09Psdm9mzJFxYRwAXF1db6ldUzkKCgoSxxwcHG6pXVM5qs/4+zumclTX+DOHqRzVNf7MYSpHdY0/c5jKUV3jzxzmzhG5ublITEzEt99+i6SkJAwZMsTs+YOIiBo+hSRJkiUatrGxwdixY/HKK6+gefPm4ritrS1Onz6NFi1aWOK0d1xRURHc3NxQWFjI4ggiogaguLhYbJMXExNj7e4QERERERFRI3P69Gl88skn8PDwwIwZM2Bvbw+DwYDS0lIAgLOzs4gtLy9HVVUV7OzsYGdnBwB/G2traysWJiVJglarBVB9Vb6x2KGiogKVlZWwsbGBvb19rVhHR0dRAKHT6aDT6WSxAMQV4ObEOjg4QKVSAai+vWFFRQVUKpVs8Vqr1UKSpHrFlpaWwmAwmIxVKpVwdHSsFWtvby8W4auqqlBeXl5nrFqtFourer0eZWVlUCgUcHJyErFlZWXQ6/VmxZqTzzsRayr3dY2Tmvk0NU5uNfemYm8n97cyTm4193XF3kruTcVaMve3OkeUl5dj79692LJlCyRJQkhICP7973/Dy8sLRERERhbb0aB37974/PPPkZOTg2HDhqFfv36yql2im6Wmppp9nzgnJydZ0cqpU6dQWVmJmJgY8aEvIyMD165dM6tdtVqN1q1bi8fnzp1DWVkZmjVrJipTc3JykJKSYla7KpUK7du3F48vXryIoqIiREREiA9peXl5SExMNKtdoLry1vhhPTExEXl5eQgJCRHVtcXFxWbffw4A2rRpIz6kGnMUEBCA4OBgANUfks+dO2d2u6Zy5O3tLaprq6qqcPLkSbPbNZUjd3d3REVFiZhjx46Z3a6pHNU1/sxhKkd1jT9zmMpRXePPHHXlyNT4M0ddOTI1/sxxc47mzp2LDh06oHv37rI/DImIiIiIiIjuFg8PD/j6+qJ169ZiQTYvLw8zZ86EnZ0dFi1aJGJ/+OEH/Pbbb3jyySfx2GOPAaheYH399dcBAB999JGI3bRpE/bt24d+/frhqaeeAlC9oDtlyhQAwKJFi8Tf2Nu3b8eOHTvQq1cvxMXFiTaMsfPmzRPb4+/evRubN29G9+7dMXToUBH7xhtvoLKyErNnzxbfmRw4cAA//PADOnbsiJEjR4rYd955ByUlJZgxY4a45/uRI0ewZs0atGnTBi+//LKInTt3LvLy8jBlyhSEh4cDAE6ePInVq1cjOjoar732mohdsGABsrKyMH78eDRr1gwAcP78eaxcuRIRERGYNGmSiF2yZAlSU1Oh0WjQsmVLAMClS5ewbNkyBAcHY/r06SJ2xYoVuHLlCl588UXxXUpycjIWLlwIX19fvPXWWyL2iy++wPnz5zF8+HB06dIFQPV3XXPnzoWbmxvmzp0rYr/55hucPHkSQ4YMQWxsLADg+vXrePvtt+Hg4ICFCxeK2HXr1uHIkSP4xz/+gb59+wKovihu+vTpUKlUWLp0qYjdsGEDDhw4gAEDBmDAgAEAqheKjflcunSpWIzfunUrdu3ahT59+mDw4MEAqhe8jbELFy4Ui/Q7d+7Etm3b8PDDD+PZZ58V55s6dSoMBgPmzJkDd3d3AMC+ffuwceNGdOnSBcOHDxexM2fORHl5Od566y34+voCAA4dOoR169ahffv2ePHFF0Xsu+++i8LCQkyfPl18r3X8+HF8/fXXiImJwejRo0Xs/Pnzcf36dUycOFHcauDMmTP4/PPPERUVhQkTJojYDz/8ENeuXcPYsWPF7QP+/PNPfPzxxwgLCxPvJwBYvnw5kpKS8PLLL4vbNiQmJmLx4sUICAjAjBkzROynn36KCxcuYOTIkeJWDGlpaZg/fz68vLwwe/ZsEfvll1/izJkz+Ne//oUePXoAALKzs/Huu+/C2dkZ8+fPF7Fr1qzB8ePHERcXh169egG4+3PEjh07cPbsWQwcOBB79uxBWloa5s6di5EjR/LCHSIiEixWaLBjxw6kpaVh1apVePXVV1FWVoYhQ4YAAAsOyKQjR45g7969Zv1MRESEbBFx3bp1KCwsxLRp08Qi4unTp7F582az2vXx8ZEt9G7atAnp6ekYO3asWMS+dOkS1qxZY1a7Dg4OsoXeHTt24MKFC3j++efFH2SpqalYtWqVWe0CkLX766+/4tixY4iLixOL2Dk5ObfU7pw5c8QHTGOO+vXrJz7sFxcX31K7pnLUvXt3sYit0+luqV1TOWrdurVsEfvLL7+EwWAwq11TOapr/JnDVI7qGn/mMJWjusafOerKkanxZ466cmRq/JmjZo4MBgPS0tKQlpbGe8sRERERERGR1YSGhmLatGm1bplARHSv0Ov1yMjIQJs2bTBt2jR8+umnSElJwUcffYT+/fvj8ccf5xxGRESWu3XCzXbu3IlVq1Zhw4YNCAkJQVxcHOLi4mSLU/ci3jrh7tm4cSPOnj0LtVot27qpuLgYAODi4iLb4quiogKBgYEYNWqUaGP+/PmoqKjAqFGjEBgYCKB6MfXo0aOwtbWVbZllvJLb2dlZtm1XeXk5PDw8MGbMGBG7ZMkSFBYWYsiQIaI6+uDBg9i7dy9sbGxkV0aXlJTAYDDAyclJtm1XWVkZHBwcZJXUK1euRHZ2NgYMGCDeCydPnsSWLVugUqlk22tptVro9Xo4OjrKtvgqLS2FSqXC66+/Ls739ddfIzk5GT179sRDDz0EALh8+TLWrl0LpVIp2zKrtLQUVVVVcHBwENt2GQwGlJSUQKlUYty4cSJ+/fr1+PPPP9GxY0dRIZuZmYnPPvsMCoVCVLoD1VfRV1ZWwt7eXiwU18znyy+/LKqYt27dioSEBMTExIhKaq1Wiw8++ACA/B5txtzXHCc18zl06FBEREQAqK6kPnDgAMLDwzFs2DAR++6770KSJNmYMub+5nFSXFwMSZLw5JNPiirmY8eOYfv27fD398dLL70kYhcsWICysjLZmDLmvq5x0rt3b3Tr1g1AdSX1+vXr4ebmJqvOX7ZsGfLz8+vMvalx0qVLF1HtnpaWhtWrV0OtVosKZQD4/PPPkZGRIcu9Xq+HVqutc5y0atUKgwYNAgDk5+dj2bJlUCgUmDZtmhh/a9asQWJioiz3xjF1cz6N4yQyMhL/+te/xO9s3rx5kCQJEyZMEP24E3PElClTEBMTg+eee070jYiIiIiIiMjaan5FW/MiLVPHbzX279owJ/ZO942xlo39uzaYe8befFyr1WLv3r3o1asXHB0dUVlZia+//hrHjx8HALRo0QIvvvii7DYZRETU+FhsR4Ob9e3bF3379kV+fj6++eYbfPHFF5g3bx70er1Z7Sxfvhzvv/8+srKy0KZNGyxduhSdOnWqM/7777/HjBkzkJycjKioKMybNw+PP/747b4csoDKykpkZmbKtm6qqKgQ21xNmTJFLC7+9NNP2LFjB6Kjo2VtJCcnA4BswdtgMCAzM7PW9m7jx4+HTqeTbe+2Z88erF+/XlwJbpSeno6SkhLZwitQvcjeunVrvPLKK+LYm2++WWt7t6NHj4rt3WrKzs5GZmamrF2FQoHMzExERERg3Lhx4vh7772H9PR0vPrqq2jVqhWA6oXppUuXIjg4WCzyAkBubi4yMzNlC9BKpRKZmZnw8fGRtbt8+XKcP38ew4YNQ9euXQFAbIXl5uYm61t+fj4yMzNlC/EqlUoce/PNN8Xxr776CocPH5Zt71ZQUIDp06dDqVSKIgOgejE/MzMT7dq1q/V7ACC2hAOAH3/80eT2bmPHjgUAsTsAUL2Yn5mZKbtSHgCysrJgMBgwduxYsb3bzp07sWHDhlrbu02cOBFlZWViWz+getE9MzNTdi4AuHHjhthRIyQkBED1VnCmtnebNWsWrl+/Dj8/P3GsrKys1ngAqosoMjMzZdu7nT17Fh9//DFCQ0Nl+VywYAGuXr0KHx+fWu3WfA1A9R8MmZmZeP7558U8mpycjPnz58PT0xNvvPGGiF2xYgXOnDmDRx55xGR/a46/iooKZGZmyrZ3u3HjBmbMmAE7OzvZFnPffvstfvvtN3To0EEcKy8vR0ZGBgD5feRud46QJAklJSU4cuQInnjiCXh6eoKIiIiIiIjoXlDXDrCmjt8Lsfdy3xhr2dh7uW+MvXOxTk5OGDhwoHhsa2srihKUSiUUCgUv4iEiortXaGDk4eGBsWPHYuzYsUhISDDrZ9etW4f4+HisWLECnTt3xqJFi9CvXz9cvHhRtmhp9Pvvv+O5557D3LlzMXDgQKxZswaDBg1CQkKCuA8X3Tt8fX0RHR0tWyBVKBRiobDmhx4fHx9ER0fXyrsxtuaip7e3N6Kjo2stCjdr1gxVVVXiCnGgenxGR0fXWpCNiopCWVmZ7Ap6d3d3REdH1ypKiIyMhK+vr2wx3tXVFdHR0WLx2ahJkyZwc3OTXenu4uJisg/h4eFwdHSULbw6OTkhOjoa3t7estjQ0FCoVCpZrIODA6Kjo8XCulFwcDD0er243QAAqNVqREdHywoVACAoKAhlZWWyNmxtbREdHV3rg2VAQACio6Nli7k2NjaIjo6uta2Wn59frdehVCprFWYA/xsndeW+ZtvG3NdczDfGGgwGWe49PT3rzL1OpxNX/AP/y31QUJAstmnTptBqtbJx4ubmVuc48fLyko0TZ2dnk+2Gh4fD2dlZlg9j7M2/h7CwMNjZ2cmKbRwdHWvlAoAYjzV3GDCOk5o/D1SPE51OJ8u9cZzUfA3A/3Lv4eEhjhlzX/N3DlQXhtyce5VK9Ze5v9U5whj7wAMPsMiAiIiIiIiIiIiongwGg9ht9fnnn0fz5s2hVCohSRIMBoPs+3giImo87sqtE8rLy3HmzBnk5OTUui/6k08+We92OnfujI4dO2LZsmUAqv/nFhISgrFjx2Lq1Km14ocMGQKtVostW7aIY126dEHbtm2xYsWKep2Tt04gIiIiIiIiIiIiIqLGrri4WHaB0vbt2/Hbb78hNDQUI0aM4C4HRESNjMV3NNi+fTuGDx+O3NzcWs8pFIp63zpBp9PhxIkTmDZtmjimVCrRp08fHDp0yOTPHDp0CPHx8bJj/fr1w8aNG+v/AoiIiIiIiIiIiIiIiBq5mkUGOp0Ov/zyC8rLy5GXl4devXohMjISly5dwq5du+Du7i52PDUYDEhJSQFQvXurcWfSvLw8FBYWws3NDb169UJAQAAMBgM2b96Ma9euoW3btujWrRsAICkpCb/88gucnJzErZCB6lvBSpKEkJAQsZtqYWEh8vLy4OzsjNjYWISFhQEAduzYgcTERDRv3hy9e/cGUH3b5O3bt8PW1la2O2pqair0ej2CgoJEAUVxcTFyc3Ph4OCAHj16iFv27t+/H+fPn0doaKi45UROTg62bdsGg8Eg20X32rVr0Ol08Pf3FzvFlpaWIjs7G3Z2dujatStiYmIAAEeOHMGJEyfg6+uLuLg4ANW3J968eTPKy8tlu+hmZmaivLwcPj4+YqfjiooKZGRkwMbGBh07dhS3Lj579iwOHDgAb29vPPXUU1Cr1dBqtdi0aRMKCwvF7wsArl+/jpKSEnh6eopdkauqqpCWlgaFQoH27dujc+fOAICLFy9i3759cHV1xcCBA+Hi4gKdToeNGzciNzcXTZo0Ee3WzL1x91lJksTtsWNiYhAbGwsAuHr1Kvbs2QN7e3v0799f5P/HH39EVlaW2OHZ+PvJz8+Hi4uLbBdd4ziJiIjAY489BqD6FtK7d++GUqlE3759RZ62bduG5ORkk7l3dHSU7aCclpaGqqoqBAYGYtCgQQCqb5n9yy+/oLKyEr179xa/zz179uDChQsmc69WqxEYGFhrnPj5+WHgwIFQq9XIy8vDjh07oNVqERsbK8bf77//jlOnTsHX11fsilwz9zV32s7KykJZWRm8vb3Rv39/uLi4oLi4GD///DPy8/PRo0cPMf5OnTqF33//HV5eXuJC7MrKSqSnp0OpVMrGSW5uLoqLi+Hp6Ym+ffvCy8sL5eXl2LZtG7Kzs9GlSxcx/m53jqB7i8ULDcaOHYunn34aM2fOrLV9uTlyc3Oh1+trteHn54cLFy6Y/JmsrCyT8VlZWXWep6KiAhUVFeJxUVHRLfeZiIiIiIiIiIiIiIioobGzs8OECROwdetWNG/eHJGRkQCAhIQEnDt3rs6fq+s5421tJUnCjh07AFQvwhoLDf744w+cPn3a7HbDwsLEgujPP/8MnU6HrKwsUWiQmJj4l7f5rqtdHx8fsdC7c+dO5OXlITExURQapKen4+jRo2a36+TkJBZ69+3bJxZfjYUGOTk54uLbkydP1tn+zRQKhVjo/f3338X5+/fvD7VajaKiIhw4cAAAcObMmXq3W15eLgoNjh8/LnIUGxsLFxcXVFRUYN++fX/5mk25fv26KDQ4e/asyFGnTp1EocGuXbvMbvfq1aui0ODy5csiRzExMWIRe9euXSgvLzer3XPnzolCg9TUVJGjyMhIWaFBXl5ene2eOHHCZLuPPvoo1Go1srOzRY78/f3F+Pv111+RmppaZ99OnTpl8niPHj3g4uKCwsJCkSNXV1cx/g4dOvSXv4O6xkn79u1FoYExRzY2NmL83e4cQfcWixcaZGdnIz4+/raKDO6muXPn4u2337Z2N4iIiIiIiIiIiIiIiO5ZISEheOWVV2THQkND4e3tDS8vL3FFuV6vx5UrVwAAUVFRUCqVAKoXzfPz8+Hh4SHbpSA6Ohq5ublo0aKFOBYQEABfX1+4uLjA399fHL948SIAICIiAra2tgCAGzduIDc3F66urrLYFi1aID09Ha1btxbHfHx8EBAQALVajaCgIHE8MTERVVVVCAsLg729PYDqnRKysrLg5OSE0NBQWX8vXbokii0AwMPDA0FBQVAqlbLY5ORkVFRUIDg4WFx9XlJSgmvXrkGtVsvaaNasGbRarexKdxcXF4SGhqKqqkq2Q0BaWhpKS0vh7+8vdh4oKytDamoqbGxs0Lx5cxEbGRmJa9euwc/PT+wCYW9vj/DwcJSVlaFp06YiNiMjA8XFxfDx8RE7D+h0OiQlJUGhUKBly5YiNiwsDJcvX4anpyccHR0BVC8wR0ZGorCwEM2aNRNXqmdnZ6OgoACenp7w8fEBUH1V++XLlwEAbdu2Fe0GBQUhICAATk5O4rUZfz95eXmIjIwUr8OYezc3N1nuL126BEmSEB0dLY75+fmJXQtqjr9mzZohIyNDlvuCggJkZ2fDyclJtpOEcZzUzLGHh4d4XLMPzZo1w5UrV2S5Ly4uRkZGBuzt7WU7BBjHSVBQkHhtLi4uCA8Ph06nk52vWbNmKC0tRUBAgNh5oLS0FGlpabC1tUVERISITU9Ph1arhb+/v8iRg4MDIiMjodVqZeMvIiICmZmZ8PX1FTsPGHOvVCpFoQNQvaNGUVERvL29RY5sbW1FjmqOvzsxR9C9QyFJkmTJE7zwwgvo3r07Ro0adVvt6HQ6ODo6Yv369aIqCABGjBiBgoIC/PTTT7V+JjQ0FPHx8Rg/frw4NmvWLGzcuLHOyjdTOxqEhISgsLBQvEGJiIiIiIiIiIiIiIiIiIgaK4vvaLBs2TI8/fTTOHDgAFq1aiUqyoxee+21erVjZ2eHBx98ELt37xaFBgaDAbt378aYMWNM/kzXrl2xe/duWaHBzp070bVr1zrPo1aroVar69UnIiIiIiIiIiIiIiIiIiKixsbihQbfffcdfvnlF9jb22Pfvn1iWxSg+p4w9S00AID4+HiMGDECHTp0QKdOnbBo0SJotVqMHDkSADB8+HAEBQVh7ty5AIBx48YhNjYWCxcuxIABA7B27VocP34cK1euvLMvkoiIiIiIiIiIiIiIiIiIqJGweKHBG2+8gbfffhtTp04V99S4VUOGDMH169cxc+ZMZGVloW3btti+fTv8/PwAAKmpqbJzdOvWDWvWrMGbb76J6dOnIyoqChs3bpTdM+bvGO8sUVRUdFt9JyIiIiIiIiIiIiIiIiIiuh+4uLjINhG4mUIyrqRbiKenJ44dO4bIyEhLnsZi0tPTERISYu1uEBERERERERERERERERER3RWFhYVwdXWt83mLFxpMmDABPj4+mD59uiVPYzEGgwEZGRl/W7FBt6eoqAghISFIS0v7ywFLRA0T5wCixo1zAFHjxjmAqHHjHEDUuHEOIGq8+P4natw4B9wf/m593OK3TtDr9Zg/fz527NiB1q1bw9bWVvb8Bx98YOku3BalUong4GBrd6PRcHV15YRC1IhxDiBq3DgHEDVunAOIGjfOAUSNG+cAosaL73+ixo1zwP3N4oUGZ8+eRbt27QAA586dkz3HHQKIiIiIiIiIiIiIiIiIiIjuLxYvNNi7d6+lT0FERERERERERERERERERER3idLaHSACALVajVmzZkGtVlu7K0RkBZwDiBo3zgFEjRvnAKLGjXMAUePGOYCo8eL7n6hx4xzQMCgkSZKs3QkiIiIiIiIiIiIiIiIiIiK6P3BHAyIiIiIiIiIiIiIiIiIiIqo3FhoQERERERERERERERERERFRvbHQgIiIiIiIiIiIiIiIiIiIiOqNhQZERERERERERERERERERERUbyw0oHvC8uXLER4eDnt7e3Tu3BlHjx61dpeIyALmzp2Ljh07wsXFBb6+vhg0aBAuXrwoiykvL8fo0aPh5eUFZ2dn/POf/0R2draVekxElvLee+9BoVBg/Pjx4hjf/0QN27Vr1/B///d/8PLygoODA1q1aoXjx4+L5yVJwsyZMxEQEAAHBwf06dMHly9ftmKPiehO0ev1mDFjBpo0aQIHBwdERkZi9uzZkCRJxHAOIGo4fv31VzzxxBMIDAyEQqHAxo0bZc/X5/2el5eHoUOHwtXVFe7u7hg1ahRKSkru4qsgolv1V3NAZWUlXn/9dbRq1QpOTk4IDAzE8OHDkZGRIWuDcwDR/evvPgfU9Morr0ChUGDRokWy45wD7h8sNCCrW7duHeLj4zFr1iwkJCSgTZs26NevH3JycqzdNSK6w/bv34/Ro0fj8OHD2LlzJyorK/Hoo49Cq9WKmAkTJmDz5s34/vvvsX//fmRkZGDw4MFW7DUR3WnHjh3DJ598gtatW8uO8/1P1HDl5+eje/fusLW1xc8//4w//vgDCxcuhIeHh4iZP38+lixZghUrVuDIkSNwcnJCv379UF5ebsWeE9GdMG/ePHz88cdYtmwZ/vzzT8ybNw/z58/H0qVLRQznAKKGQ6vVok2bNli+fLnJ5+vzfh86dCjOnz+PnTt3YsuWLfj111/x73//+269BCK6DX81B5SWliIhIQEzZsxAQkICfvzxR1y8eBFPPvmkLI5zANH96+8+Bxht2LABhw8fRmBgYK3nOAfcRyQiK+vUqZM0evRo8Viv10uBgYHS3LlzrdgrIrobcnJyJADS/v37JUmSpIKCAsnW1lb6/vvvRcyff/4pAZAOHTpkrW4S0R1UXFwsRUVFSTt37pRiY2OlcePGSZLE9z9RQ/f6669LPXr0qPN5g8Eg+fv7S++//744VlBQIKnVaum77767G10kIgsaMGCA9MILL8iODR48WBo6dKgkSZwDiBoyANKGDRvE4/q83//44w8JgHTs2DER8/PPP0sKhUK6du3aXes7Ed2+m+cAU44ePSoBkFJSUiRJ4hxA1JDUNQekp6dLQUFB0rlz56SwsDDpww8/FM9xDri/cEcDsiqdTocTJ06gT58+4phSqUSfPn1w6NAhK/aMiO6GwsJCAICnpycA4MSJE6isrJTNCdHR0QgNDeWcQNRAjB49GgMGDJC9zwG+/4kauk2bNqFDhw54+umn4evri3bt2uHTTz8VzyclJSErK0s2B7i5uaFz586cA4gagG7dumH37t24dOkSAOD06dM4ePAg+vfvD4BzAFFjUp/3+6FDh+Du7o4OHTqImD59+kCpVOLIkSN3vc9EZFmFhYVQKBRwd3cHwDmAqKEzGAwYNmwYJk+ejJiYmFrPcw64v9hYuwPUuOXm5kKv18PPz0923M/PDxcuXLBSr4jobjAYDBg/fjy6d++Oli1bAgCysrJgZ2cn/rAw8vPzQ1ZWlhV6SUR30tq1a5GQkIBjx47Veo7vf6KG7erVq/j4448RHx+P6dOn49ixY3jttddgZ2eHESNGiPe5qb8LOAcQ3f+mTp2KoqIiREdHQ6VSQa/X4z//+Q+GDh0KAJwDiBqR+rzfs7Ky4OvrK3vexsYGnp6enBOIGpjy8nK8/vrreO655+Dq6gqAcwBRQzdv3jzY2NjgtddeM/k854D7CwsNiIjIKkaPHo1z587h4MGD1u4KEd0FaWlpGDduHHbu3Al7e3trd4eI7jKDwYAOHTpgzpw5AIB27drh3LlzWLFiBUaMGGHl3hGRpf33v//Ft99+izVr1iAmJganTp3C+PHjERgYyDmAiIiokaqsrMQzzzwDSZLw8ccfW7s7RHQXnDhxAosXL0ZCQgIUCoW1u0N3AG+dQFbl7e0NlUqF7Oxs2fHs7Gz4+/tbqVdEZGljxozBli1bsHfvXgQHB4vj/v7+0Ol0KCgokMVzTiC6/504cQI5OTlo3749bGxsYGNjg/3792PJkiWwsbGBn58f3/9EDVhAQABatGghO/bAAw8gNTUVAMT7nH8XEDVMkydPxtSpU/Hss8+iVatWGDZsGCZMmIC5c+cC4BxA1JjU5/3u7++PnJwc2fNVVVXIy8vjnEDUQBiLDFJSUrBz506xmwHAOYCoITtw4ABycnIQGhoqvh9MSUnBxIkTER4eDoBzwP2GhQZkVXZ2dnjwwQexe/duccxgMGD37t3o2rWrFXtGRJYgSRLGjBmDDRs2YM+ePWjSpIns+QcffBC2trayOeHixYtITU3lnEB0n+vduzfOnj2LU6dOif86dOiAoUOHin/z/U/UcHXv3h0XL16UHbt06RLCwsIAAE2aNIG/v79sDigqKsKRI0c4BxA1AKWlpVAq5V9BqVQqGAwGAJwDiBqT+rzfu3btioKCApw4cULE7NmzBwaDAZ07d77rfSaiO8tYZHD58mXs2rULXl5esuc5BxA1XMOGDcOZM2dk3w8GBgZi8uTJ2LFjBwDOAfcb3jqBrC4+Ph4jRoxAhw4d0KlTJyxatAharRYjR460dteI6A4bPXo01qxZg59++gkuLi7inkpubm5wcHCAm5sbRo0ahfj4eHh6esLV1RVjx45F165d0aVLFyv3nohuh4uLC1q2bCk75uTkBC8vL3Gc73+ihmvChAno1q0b5syZg2eeeQZHjx7FypUrsXLlSgCAQqHA+PHj8e677yIqKgpNmjTBjBkzEBgYiEGDBlm380R025544gn85z//QWhoKGJiYnDy5El88MEHeOGFFwBwDiBqaEpKSnDlyhXxOCkpCadOnYKnpydCQ0P/9v3+wAMP4LHHHsNLL72EFStWoLKyEmPGjMGzzz6LwMBAK70qIqqvv5oDAgICEBcXh4SEBGzZsgV6vV58P+jp6Qk7OzvOAUT3ub/7HHBzcZGtrS38/f3RvHlzAPwccN+RiO4BS5culUJDQyU7OzupU6dO0uHDh63dJSKyAAAm/1u1apWIKSsrkzQajeTh4SE5OjpK//jHP6TMzEzrdZqILCY2NlYaN26ceMz3P1HDtnnzZqlly5aSWq2WoqOjpZUrV8qeNxgM0owZMyQ/Pz9JrVZLvXv3li5evGil3hLRnVRUVCSNGzdOCg0Nlezt7aWIiAjpjTfekCoqKkQM5wCihmPv3r0m//YfMWKEJEn1e7/fuHFDeu655yRnZ2fJ1dVVGjlypFRcXGyFV0NE5vqrOSApKanO7wf37t0r2uAcQHT/+rvPATcLCwuTPvzwQ9kxzgH3D4UkSdJdqmkgIiIiIiIiIiIiIiIiIiKi+5zy70OIiIiIiIiIiIiIiIiIiIiIqrHQgIiIiIiIiIiIiIiIiIiIiOqNhQZERERERERERERERERERERUbyw0ICIiIiIiIiIiIiIiIiIionpjoQERERERERERERERERERERHVGwsNiIiIiIiIiIiIiIiIiIiIqN5YaEBERERERERERERERERERET1xkIDIiIiIiIiIrpr9u3bB4VCgYKCAmt3hYiIiIiIiIhukUKSJMnanSAiIiIiIiKihqlnz55o27YtFi1aBADQ6XTIy8uDn58fFAqFdTtHRERERERERLfExtodICIiIiIiIqLGw87ODv7+/tbuBhERERERERHdBt46gYiIiIiIiIgs4vnnn8f+/fuxePFiKBQKKBQKrF69WnbrhNWrV8Pd3R1btmxB8+bN4ejoiLi4OJSWluLLL79EeHg4PDw88Nprr0Gv14u2KyoqMGnSJAQFBcHJyQmdO3fGvn37rPNCiYiIiIiIiBoZ7mhARERERERERBaxePFiXLp0CS1btsQ777wDADh//nytuNLSUixZsgRr165FcXExBg8ejH/84x9wd3fHtm3bcPXqVfzzn/9E9+7dMWTIEADAmDFj8Mcff2Dt2rUIDAzEhg0b8Nhjj+Hs2bOIioq6q6+TiIiIiIiIqLFhoQERERERERERWYSbmxvs7Ozg6Ogobpdw4cKFWnGVlZX4+OOPERkZCQCIi4vD119/jezsbDg7O6NFixZ45JFHsHfvXgwZMgSpqalYtWoVUlNTERgYCACYNGkStm/fjlWrVmHOnDl370USERERERERNUIsNCAiIiIiIiIiq3J0dBRFBgDg5+eH8PBwODs7y47l5OQAAM6ePQu9Xo9mzZrJ2qmoqICXl9fd6TQRERERERFRI8ZCAyIiIiIiIiKyKltbW9ljhUJh8pjBYAAAlJSUQKVS4cSJE1CpVLK4msUJRERERERERGQZLDQgIiIiIiIiIouxs7ODXq+/o222a9cOer0eOTk5eOihh+5o20RERERERET095TW7gARERERERERNVzh4eE4cuQIkpOTkZubK3YluB3NmjXD0KFDMXz4cPz4449ISkrC0aNHMXfuXGzduvUO9JqIiIiIiIiI/goLDYiIiIiIiIjIYiZNmgSVSoUWLVrAx8cHqampd6TdVatWYfjw4Zg4cSKaN2+OQYMG4dixYwgNDb0j7RMRERERERFR3RSSJEnW7gQRERERERERERERERERERHdH7ijAREREREREREREREREREREdUbCw2IiIiIiIiIiIiIiIiIiIio3lhoQERERERERERERERERERERPXGQgMiIiIiIiIiIiIiIiIiIiKqNxYaEBERERERERERERERERERUb2x0ICIiIiIiIiIiIiIiIiIiIjqjYUGREREREREREREREREREREVG8sNCAiIiIiIiIiIiIiIiIiIqJ6Y6EBERERERERERERERERERER1RsLDYiIiIiIiIiIiIiIiIiIiKjeWGhARERERERERERERERERERE9cZCAyIiIiIiIiIiIiIiIiIiIqq3/wdLSbUHmH8IUAAAAABJRU5ErkJggg==", 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", 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" ] @@ -1866,7 +2060,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 32, "id": "632d7076-45c8-4a6d-9ee8-866f4e31643f", "metadata": { "tags": [] @@ -1874,7 +2068,7 @@ "outputs": [ { "data": { - "image/png": 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", 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"pd.DataFrame(plot_data_50_leu[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 33, "id": "18c6c5e5-2253-419d-ab82-0fffe51488fc", "metadata": { "tags": [] @@ -1897,7 +2295,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -1912,7 +2310,7 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 51, "id": "c61cdbb7-2edf-4486-84fa-b88fbfe16705", "metadata": { "tags": [] @@ -2065,7 +2463,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 40, "id": "a87e43be-648a-4b49-9038-ed515599748f", "metadata": { "tags": [] @@ -2075,13 +2473,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "0.017235952230523568 0.025790144284648424 0.0007493892274140682 0.0011213106210716706 0.0018706998484857387\n", - "0.18795672758027854 0.2819128723430007 0.00989245934633045 0.014837519597000038 0.02472997894333049\n", - "0.29174506067229306 0.4375922608807124 0.026522278242935734 0.03978111462551931 0.06630339286845505\n", - "0.07563621037359602 0.11345541532936516 0.0042020116874220016 0.006303078629409176 0.010505090316831178\n", - "0.06816862038195193 0.10225368473598587 0.0028403591825813305 0.004260570197332745 0.007100929379914075\n", - "0.02890278732163769 0.043357024701074755 0.0012042828050682372 0.0018065426958781149 0.003010825500946352\n", - "0.0004451205 0.00066768075 1.9353065217391304e-05 2.9029597826086953e-05 4.838266304347826e-05\n" + "0.01130257635047471 0.01689088432918685 0.0004914163630641178 0.000734386275182037 0.0012258026382461547\n", + "0.13052263047685217 0.19576286630573705 0.0068696121303606405 0.010303308752933529 0.017172920883294168\n", + "0.1974541430141318 0.29619219428759513 0.017950376637648344 0.026926563117054103 0.044876939754702444\n", + "0.043788508437618806 0.06568363367233498 0.0024326949132010447 0.003649090759574166 0.006081785672775211\n", + "0.03964044933490131 0.059459413713714465 0.0016516853889542212 0.0024774755714047692 0.00412916096035899\n", + "0.016702009179059115 0.02504706287020606 0.0006959170491274632 0.001043627619591919 0.0017395446687193824\n", + "0.0002876486250000001 0.00043147293749999996 1.2506461956521744e-05 1.8759692934782607e-05 3.1266154891304354e-05\n" ] } ], diff --git a/Metabolic_modeling/build_isolates.ipynb b/Metabolic_modeling/build_isolates.ipynb index b56e9b0..a6a771e 100755 --- a/Metabolic_modeling/build_isolates.ipynb +++ b/Metabolic_modeling/build_isolates.ipynb @@ -27,6 +27,28 @@ { "cell_type": "code", "execution_count": 2, + "id": "e8df2295-492f-42a9-a8e8-99d22e5493fa", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "cobra_config = cobra.Configuration()\n", + "cobra_config.solver = 'cplex'\n", + "print(cobra_config.solver)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, "id": "d58e291a-79f3-4b4f-88c8-0c2efa625ca4", "metadata": { "tags": [] @@ -43,7 +65,14 @@ "source": [ "from cobrakbase.io.read_kbase_zip import load_kbase_zip_object\n", "template = load_kbase_zip_object('./data/GramNegModelTemplateV5_DNR_v2.JSON.zip')\n", + "# 0.5 O2 [c] + 4 H+ [c] + 3 Cytochrome c2+ [c] --> H2O [c] + 2 H+ [e] + 3 Cytochrome c3+ [c]\n", "template.reactions.rxn14415_c.lower_bound = 0\n", + "# NAD [c] + CoA [c] + Pyruvate [c] --> NADH [c] + CO2 [c] + Acetyl-CoA [c]\n", + "template.reactions.rxn00154_c.lower_bound = 0\n", + "# Phosphate [c] + D-fructose-6-phosphate [c] --> H2O [c] + Acetylphosphate [c] + D-Erythrose4-phosphate [c]\n", + "template.reactions.rxn00548_c.lower_bound = 0\n", + "# NAD [c] + Glycerol-3-phosphate [c] <-- NADH [c] + H+ [c] + Glycerone-phosphate [c]\n", + "template.reactions.rxn00611_c.upper_bound = 0\n", "genome_rhoda = load_genome_from_annotation_file('./data/annotation_rhoda.tsv')\n", "genome_acido = load_genome_from_annotation_file('./data/annotation_acido.tsv')\n", "\n", @@ -54,41 +83,28 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "de9a84cb-666c-4af8-921d-259073873c4b", "metadata": { "tags": [] }, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter TSPort to value 27070\n", - "Set parameter TokenServer to value \"lic-vmw-01.cels.anl.gov\"\n" - ] - }, { "name": "stderr", "output_type": "stream", "text": [ - "/opt/env/python3_10_modelseed/lib/python3.10/site-packages/optlang/gurobi_interface.py:728: DeprecationWarning: Deprecated, pass a TempConstr or use Model.addLConstr\n", - " self.problem.addConstr(lhs, sense, rhs, name=constraint.name)\n", - "/opt/env/python3_10_modelseed/lib/python3.10/site-packages/optlang/gurobi_interface.py:728: DeprecationWarning: Deprecated, pass a TempConstr or use Model.addLConstr\n", - " self.problem.addConstr(lhs, sense, rhs, name=constraint.name)\n", - "/opt/env/python3_10_modelseed/lib/python3.10/site-packages/optlang/gurobi_interface.py:728: DeprecationWarning: Deprecated, pass a TempConstr or use Model.addLConstr\n", - " self.problem.addConstr(lhs, sense, rhs, name=constraint.name)\n", - "/opt/env/python3_10_modelseed/lib/python3.10/site-packages/optlang/gurobi_interface.py:728: DeprecationWarning: Deprecated, pass a TempConstr or use Model.addLConstr\n", - " self.problem.addConstr(lhs, sense, rhs, name=constraint.name)\n" + "INFO:modelseedpy.core.msatpcorrection:max_gapfilling: 10, best_score: 0.0\n", + "INFO:modelseedpy.core.msmodelutl:Expansion time:empty:0.03477632500107575\n", + "INFO:modelseedpy.core.msmodelutl:Filtered count:0 out of 0\n", + "INFO:modelseedpy.core.msmodelutl:Expansion time:nitrate:0.03428320700004406\n", + "INFO:modelseedpy.core.msmodelutl:Filtered count:0 out of 0\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Read LP format model from file /tmp/tmp0bsm0hg9.lp\n", - "Reading time = 0.01 seconds\n", - ": 1264 rows, 2648 columns, 11862 nonzeros\n" + "gapfill reactions 33 new exchanges 4\n" ] }, { @@ -96,101 +112,1377 @@ "output_type": "stream", "text": [ "INFO:modelseedpy.core.msatpcorrection:max_gapfilling: 10, best_score: 0.0\n", - "INFO:modelseedpy.core.msmodelutl:Expansion time:empty:0.05428454093635082\n", + "INFO:modelseedpy.core.msmodelutl:Expansion time:empty:0.033131992000562605\n", "INFO:modelseedpy.core.msmodelutl:Filtered count:0 out of 0\n", - "INFO:modelseedpy.core.msmodelutl:Expansion time:nitrate:0.050472076050937176\n", - "INFO:modelseedpy.core.msmodelutl:Filtered count:0 out of 0\n", - "/opt/env/python3_10_modelseed/lib/python3.10/site-packages/optlang/gurobi_interface.py:728: DeprecationWarning: Deprecated, pass a TempConstr or use Model.addLConstr\n", - " self.problem.addConstr(lhs, sense, rhs, name=constraint.name)\n", - "/opt/env/python3_10_modelseed/lib/python3.10/site-packages/optlang/gurobi_interface.py:728: DeprecationWarning: Deprecated, pass a TempConstr or use Model.addLConstr\n", - " self.problem.addConstr(lhs, sense, rhs, name=constraint.name)\n", - "/opt/env/python3_10_modelseed/lib/python3.10/site-packages/optlang/gurobi_interface.py:728: DeprecationWarning: Deprecated, pass a TempConstr or use Model.addLConstr\n", - " self.problem.addConstr(lhs, sense, rhs, name=constraint.name)\n" + "INFO:modelseedpy.core.msmodelutl:Expansion time:nitrate:0.0325888789993769\n", + "INFO:modelseedpy.core.msmodelutl:Filtered count:0 out of 0\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "gapfill reactions 33 new exchanges 4\n" + "gapfill reactions 38 new exchanges 3\n", + "[R12] added L-Leucine [e0]\n", + "[R12] added ABC Transporter (L-Leucine) [c0]\n", + "[3H11] added LeuE\n", + "replace Flavodoxin with FAD/FADH2\n", + "rxn19704_c0 mass balance {'charge': -3, 'H': -3}\n", + "Fix Proton MassBalance [-3] [before] rxn19704_c0 NADP [c0] + H+ [c0] + FADH2 [c0] <=> NADPH [c0] + FAD [c0]\n", + "Fix Proton MassBalance [-3] [after ] rxn19704_c0 NADP [c0] + FADH2 [c0] <=> NADPH [c0] + FAD [c0] + 2 H+ [c0]\n", + "R12 Nitrate [c0] + Ubiquinol-8 [c0] --> H2O [c0] + Nitrite [c0] + Ubiquinone-8 [c0]\n", + "3H11 2 H+ [c0] + Nitrate [c0] + Ubiquinol-8 [c0] --> H2O [c0] + 2 H+ [e0] + Nitrite [c0] + Ubiquinone-8 [c0]\n" ] - }, + } + ], + "source": [ + "model_acido, model_rhoda = project.build_isolates()" + ] + }, + { + "cell_type": "markdown", + "id": "e7959033-eb5d-40f2-8c90-8c873145e715", + "metadata": {}, + "source": [ + "## Test isolate models" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ac3dd0af-21fa-46c9-aaa3-33004cae5ae2", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "medium_base = {\n", + " 'EX_cpd00063_e0': 100.0, # Ca2+\n", + " 'EX_cpd00034_e0': 100.0, # Zn2+\n", + " 'EX_cpd00030_e0': 100.0, # Mn2+\n", + " 'EX_cpd00254_e0': 100.0, # Mg\n", + " 'EX_cpd10515_e0': 100.0, # Fe2+\n", + " 'EX_cpd00149_e0': 100.0, # Co2+\n", + " 'EX_cpd00099_e0': 100.0, # Cl-\n", + " 'EX_cpd11574_e0': 100.0, # Molybdate\n", + " 'EX_cpd00205_e0': 1.3415688, # K+\n", + " 'EX_cpd00971_e0': 34.9324073, # Na+\n", + " 'EX_cpd00058_e0': 100.0, # Cu2+\n", + " 'EX_cpd00009_e0': 100.0, # Phosphate\n", + " 'EX_cpd00048_e0': 100.0, # Sulfate\n", + " 'EX_cpd00001_e0': 100.0, # H2O\n", + " 'EX_cpd00067_e0': 100.0, # H+ \n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "2f089aba-d5d2-4517-9da7-05786f9347e5", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "

Objective

1.0 bio1 = 0.2334624820088367

Uptake

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
MetaboliteReactionFluxC-NumberC-Flux
cpd00009_e0EX_cpd00009_e00.154300.00%
cpd00013_e0EX_cpd00013_e01.86800.00%
cpd00029_e0EX_cpd00029_e010.81299.98%
cpd00030_e0EX_cpd00030_e00.000373500.00%
cpd00034_e0EX_cpd00034_e00.000373500.00%
cpd00048_e0EX_cpd00048_e00.0478200.00%
cpd00058_e0EX_cpd00058_e00.000373500.00%
cpd00063_e0EX_cpd00063_e00.000373500.00%
cpd00067_e0EX_cpd00067_e029.2600.00%
cpd00099_e0EX_cpd00099_e00.000373500.00%
cpd00149_e0EX_cpd00149_e00.000373500.00%
cpd00205_e0EX_cpd00205_e00.000373500.00%
cpd00209_e0EX_cpd00209_e01000.00%
cpd00254_e0EX_cpd00254_e00.000373500.00%
cpd00305_e0EX_cpd00305_e00.0003735120.02%
cpd10515_e0EX_cpd10515_e00.00149400.00%

Secretion

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
MetaboliteReactionFluxC-NumberC-Flux
cpd00001_e0EX_cpd00001_e0-22.9700.00%
cpd00011_e0EX_cpd00011_e0-13.31199.92%
cpd00047_e0EX_cpd00047_e0-0.00373510.03%
cpd00528_e0EX_cpd00528_e0-500.00%
cpd03091_c0SK_cpd03091_c0-0.0007471100.06%
cpd11416_c0SK_cpd11416_c0-0.233500.00%
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "medium_acetate_nitrate = {\n", + " 'EX_cpd00107_e0': 0.0, # leucine\n", + " 'EX_cpd00029_e0': 20.0, # Acetate\n", + " 'EX_cpd00209_e0': 10.0, # Nitrate\n", + " 'EX_cpd00013_e0': 100.0, # NH3\n", + " 'EX_cpd00305_e0': 100.0 # Thiamin\n", + "}\n", + "medium_acetate_nitrate.update(medium_base)\n", + "model_rhoda.medium = medium_acetate_nitrate\n", + "solution = model_rhoda.optimize()\n", + "model_rhoda.summary(solution)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "2db9d08f-0538-40ff-8bbc-9461a31e790c", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "

Objective

1.0 bio1 = 0.24603781972124694

Uptake

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
MetaboliteReactionFluxC-NumberC-Flux
cpd00009_e0EX_cpd00009_e00.162600.00%
cpd00030_e0EX_cpd00030_e00.000393700.00%
cpd00034_e0EX_cpd00034_e00.000393700.00%
cpd00048_e0EX_cpd00048_e00.050400.00%
cpd00058_e0EX_cpd00058_e00.000393700.00%
cpd00063_e0EX_cpd00063_e00.000393700.00%
cpd00067_e0EX_cpd00067_e018.4200.00%
cpd00099_e0EX_cpd00099_e00.000393700.00%
cpd00107_e0EX_cpd00107_e04699.98%
cpd00149_e0EX_cpd00149_e00.000393700.00%
cpd00205_e0EX_cpd00205_e00.000393700.00%
cpd00209_e0EX_cpd00209_e01000.00%
cpd00254_e0EX_cpd00254_e00.000393700.00%
cpd00305_e0EX_cpd00305_e00.0003937120.02%
cpd10515_e0EX_cpd10515_e00.00157500.00%

Secretion

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
MetaboliteReactionFluxC-NumberC-Flux
cpd00001_e0EX_cpd00001_e0-13.2600.00%
cpd00011_e0EX_cpd00011_e0-7.355148.18%
cpd00013_e0EX_cpd00013_e0-2.03100.00%
cpd00029_e0EX_cpd00029_e0-3.949251.74%
cpd00047_e0EX_cpd00047_e0-0.00393710.03%
cpd00528_e0EX_cpd00528_e0-500.00%
cpd03091_c0SK_cpd03091_c0-0.0007873100.05%
cpd11416_c0SK_cpd11416_c0-0.24600.00%
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "medium_leucine_nitrate = {\n", + " 'EX_cpd00107_e0': 4.0, # leucine\n", + " 'EX_cpd00029_e0': 0, # Acetate\n", + " 'EX_cpd00209_e0': 10.0, # Nitrate\n", + " 'EX_cpd00013_e0': 100.0, # NH3\n", + " 'EX_cpd00305_e0': 100.0 # Thiamin\n", + "}\n", + "medium_leucine_nitrate.update(medium_base)\n", + "model_rhoda.medium = medium_leucine_nitrate\n", + "solution = model_rhoda.optimize()\n", + "model_rhoda.summary(solution)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "c828f56b-94c7-4ff3-8026-bcdcc8917c7b", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "

Objective

1.0 bio1 = 0.17413979063599408

Uptake

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
MetaboliteReactionFluxC-NumberC-Flux
cpd00009_e0EX_cpd00009_e00.115100.00%
cpd00029_e0EX_cpd00029_e013.4299.99%
cpd00030_e0EX_cpd00030_e00.000278600.00%
cpd00034_e0EX_cpd00034_e00.000278600.00%
cpd00048_e0EX_cpd00048_e00.0359500.00%
cpd00058_e0EX_cpd00058_e00.000278600.00%
cpd00063_e0EX_cpd00063_e00.000278600.00%
cpd00067_e0EX_cpd00067_e032.2500.00%
cpd00099_e0EX_cpd00099_e00.000278600.00%
cpd00149_e0EX_cpd00149_e00.000278600.00%
cpd00205_e0EX_cpd00205_e00.000278600.00%
cpd00209_e0EX_cpd00209_e01000.00%
cpd00254_e0EX_cpd00254_e00.000278600.00%
cpd00305_e0EX_cpd00305_e00.0002786120.01%
cpd10515_e0EX_cpd10515_e00.00111500.00%

Secretion

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
MetaboliteReactionFluxC-NumberC-Flux
cpd00001_e0EX_cpd00001_e0-14.0800.00%
cpd00011_e0EX_cpd00011_e0-20.61199.96%
cpd00013_e0EX_cpd00013_e0-8.60600.00%
cpd01981_e0EX_cpd01981_e0-0.000278660.01%
cpd03091_c0SK_cpd03091_c0-0.0005573100.03%
cpd11416_c0SK_cpd11416_c0-0.174100.00%
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "medium_acetate_nitrate = {\n", + " 'EX_cpd00107_e0': 0.0, # leucine\n", + " 'EX_cpd00029_e0': 20.0, # Acetate\n", + " 'EX_cpd00209_e0': 10.0, # Nitrate\n", + " 'EX_cpd00013_e0': 100.0, # NH3\n", + " 'EX_cpd00305_e0': 100.0 # Thiamin\n", + "}\n", + "medium_acetate_nitrate.update(medium_base)\n", + "model_acido.medium = medium_acetate_nitrate\n", + "solution = model_acido.optimize()\n", + "model_acido.summary(solution)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "1329bc14-69a9-4607-9824-1a18fb9ccf45", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "cobra.io.save_json_model(model_acido, './data/model_acido_gf2.json')\n", + "cobra.io.save_json_model(model_rhoda, './data/model_rhoda_gf2.json')" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "46bf12c8-56b8-4121-bba3-afb36992c4ec", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Namemodel
Memory address7fc4410b1c00
Number of metabolites2401
Number of reactions2596
Number of genes0
Number of groups0
Objective expression1.0*bio1 - 1.0*bio1_reverse_b18f7
CompartmentscA, e0, cR
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cf = CommFactory().with_model(model_acido, 0.7, 'A').with_model(model_rhoda, 0.3, 'R')\n", + "model_comm = _build(cf, with_gpr=False)\n", + "if 'bio1' not in model_comm.reactions:\n", + " r_bio_sum = Reaction(\"bio1\", \"bio_com\", \"\", 0, 1000)\n", + " r_bio_sum.add_metabolites(\n", + " {\n", + " model_comm.metabolites.cpd11416_cA: -0.4,\n", + " model_comm.metabolites.cpd11416_cR: -0.6,\n", + " }\n", + " )\n", + " model_comm.add_reactions([r_bio_sum])\n", + "model_comm.objective = 'bio1'\n", + "model_comm" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "5c5001e3-9263-41ac-87ea-1e22a2d44692", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "GSP_MEDIUM = {\n", + " 'EX_cpd00001_e0': 1000.0,\n", + " 'EX_cpd00013_e0': 1000.0,\n", + "\n", + " 'EX_cpd00209_e0': 12.0,\n", + " 'EX_cpd00029_e0': 20.0, # acetate\n", + " \n", + " 'EX_cpd00218_e0': 100.0,\n", + " 'EX_cpd00220_e0': 100.0,\n", + " 'EX_cpd00644_e0': 0.0002281,\n", + " 'EX_cpd00305_e0': 100.0,\n", + " 'EX_cpd00393_e0': 100.0,\n", + " 'EX_cpd03424_e0': 100.0,\n", + " 'EX_cpd00443_e0': 100.0,\n", + " 'EX_cpd00263_e0': 100.0,\n", + " 'EX_cpd00048_e0': 100.0,\n", + " 'EX_cpd00009_e0': 100.0,\n", + " 'EX_cpd00242_e0': 29.759425,\n", + " 'EX_cpd00205_e0': 1.3415688,\n", + " 'EX_cpd00063_e0': 100.0,\n", + " 'EX_cpd00971_e0': 34.9324073,\n", + " 'EX_cpd00099_e0': 100.0,\n", + " 'EX_cpd00254_e0': 100.0,\n", + " 'EX_cpd00030_e0': 100.0,\n", + " 'EX_cpd00058_e0': 100.0,\n", + " 'EX_cpd00034_e0': 100.0,\n", + " 'EX_cpd10515_e0': 100.0,\n", + " 'EX_cpd00149_e0': 100.0,\n", + " 'EX_cpd00244_e0': 100.0,\n", + " 'EX_cpd11574_e0': 100.0,\n", + " 'EX_cpd15574_e0': 100.0,\n", + " 'EX_cpd00067_e0': 100.0,\n", + " }\n", + "model_comm.medium = {rxn_id: v for rxn_id, v in GSP_MEDIUM.items() if rxn_id in model_comm.reactions}" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "4736e5dd-b5a9-4202-8464-3a071f0b973f", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "model_comm.reactions.ATPM_cA.lower_bound = 0\n", + "model_comm.reactions.ATPM_cR.lower_bound = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "865a1fae-a36c-4d1c-a06c-1959c0db9caa", + "metadata": { + "tags": [] + }, + "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/opt/env/python3_10_modelseed/lib/python3.10/site-packages/optlang/gurobi_interface.py:728: DeprecationWarning: Deprecated, pass a TempConstr or use Model.addLConstr\n", - " self.problem.addConstr(lhs, sense, rhs, name=constraint.name)\n", "/opt/env/python3_10_modelseed/lib/python3.10/site-packages/optlang/gurobi_interface.py:728: DeprecationWarning: Deprecated, pass a TempConstr or use Model.addLConstr\n", " self.problem.addConstr(lhs, sense, rhs, name=constraint.name)\n" ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Read LP format model from file /tmp/tmpz81f5xhg.lp\n", - "Reading time = 0.01 seconds\n", - ": 1183 rows, 2542 columns, 11132 nonzeros\n" - ] - }, + "data": { + "text/html": [ + "

Objective

1.0 bio1 = 0.2601019754470675

Uptake

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MetaboliteReactionFluxC-NumberC-Flux
cpd00009_e0EX_cpd00009_e00.171900.00%
cpd00013_e0EX_cpd00013_e02.08100.00%
cpd00029_e0EX_cpd00029_e012.57299.98%
cpd00030_e0EX_cpd00030_e00.000416200.00%
cpd00034_e0EX_cpd00034_e00.000416200.00%
cpd00048_e0EX_cpd00048_e00.0534500.00%
cpd00058_e0EX_cpd00058_e00.000416200.00%
cpd00063_e0EX_cpd00063_e00.000416200.00%
cpd00067_e0EX_cpd00067_e022.8600.00%
cpd00099_e0EX_cpd00099_e00.000416200.00%
cpd00149_e0EX_cpd00149_e00.000416200.00%
cpd00205_e0EX_cpd00205_e00.000416200.00%
cpd00209_e0EX_cpd00209_e01200.00%
cpd00254_e0EX_cpd00254_e00.000416200.00%
cpd00305_e0EX_cpd00305_e00.0004162120.02%
cpd10515_e0EX_cpd10515_e00.00166500.00%

Secretion

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MetaboliteReactionFluxC-NumberC-Flux
cpd00001_e0EX_cpd00001_e0-27.100.00%
cpd00011_e0EX_cpd00011_e0-15.91199.94%
cpd00528_e0EX_cpd00528_e0-600.00%
cpd01981_e0EX_cpd01981_e0-0.000166560.01%
cpd03091_cASK_cpd03091_cA-0.0003329100.02%
cpd03091_cRSK_cpd03091_cR-0.0004994100.03%
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#model_comm.reactions.LeuE_cA.upper_bound = -10\n", + "solution_comm_wt = cobra.flux_analysis.pfba(model_comm)\n", + "model_comm.summary(solution_comm_wt)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2f1b1b12-96e7-4273-8c71-9202e1a52aab", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "4aae9b8e-449d-4b4a-97ef-ab40d40be70d", + "metadata": { + "tags": [] + }, + "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "INFO:modelseedpy.core.msatpcorrection:max_gapfilling: 10, best_score: 0.0\n", - "INFO:modelseedpy.core.msmodelutl:Expansion time:empty:0.032984379678964615\n", - "INFO:modelseedpy.core.msmodelutl:Filtered count:0 out of 0\n", - "INFO:modelseedpy.core.msmodelutl:Expansion time:nitrate:0.04921980109065771\n", - "INFO:modelseedpy.core.msmodelutl:Filtered count:0 out of 0\n", "/opt/env/python3_10_modelseed/lib/python3.10/site-packages/optlang/gurobi_interface.py:728: DeprecationWarning: Deprecated, pass a TempConstr or use Model.addLConstr\n", " self.problem.addConstr(lhs, sense, rhs, name=constraint.name)\n" ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "gapfill reactions 38 new exchanges 3\n", - "[R12] added L-Leucine [e0]\n", - "[R12] added ABC Transporter (L-Leucine) [c0]\n", - "[3H11] added LeuE\n", - "R12 Nitrate [c0] + Ubiquinol-8 [c0] --> H2O [c0] + Nitrite [c0] + Ubiquinone-8 [c0]\n", - "3H11 2 H+ [c0] + Nitrate [c0] + Ubiquinol-8 [c0] --> H2O [c0] + 2 H+ [e0] + Nitrite [c0] + Ubiquinone-8 [c0]\n" - ] - }, + "data": { + "text/plain": [ + "(0.0, 25.687500000000014)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_comm.objective = 'ATPM_cR'\n", + "sol = cobra.flux_analysis.pfba(model_comm)\n", + "sol.fluxes['ATPM_cA'], sol.fluxes['ATPM_cR']" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "6abcc2fc-4449-47d8-bbf9-4f23333bc1bf", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "sol.fluxes.to_csv('solution_ATPM_cR_no_acido_nar.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "d40fe601-3b57-447f-8eb7-5ee610a28303", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "model_comm.reactions.rxn09004_cA.lower_bound = -1000\n", + "model_comm.reactions.rxn09004_cA.upper_bound = 1000" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "b92fd1c2-3cab-4398-b3cb-4bc99f86d9af", + "metadata": { + "tags": [] + }, + "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "/opt/env/python3_10_modelseed/lib/python3.10/site-packages/optlang/gurobi_interface.py:728: DeprecationWarning: Deprecated, pass a TempConstr or use Model.addLConstr\n", - " self.problem.addConstr(lhs, sense, rhs, name=constraint.name)\n", - "/opt/env/python3_10_modelseed/lib/python3.10/site-packages/optlang/gurobi_interface.py:728: DeprecationWarning: Deprecated, pass a TempConstr or use Model.addLConstr\n", - " self.problem.addConstr(lhs, sense, rhs, name=constraint.name)\n" - ] + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Reaction identifierrxn00288_cA
NameSuccinate:(acceptor) oxidoreductase [A]
Memory address0x7f88193e0f10
Stoichiometry\n", + "

cpd00015_cA + cpd00036_cA + cpd00067_cA --> cpd00106_cA + cpd00982_cA

\n", + "

FAD [A] + Succinate [A] + H+ [A] --> Fumarate [A] + FADH2 [A]

\n", + "
GPR
Lower bound0
Upper bound0
\n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "model_acido, model_rhoda = project.build_isolates()" + "model_comm.reactions.rxn00288_cA" ] }, { "cell_type": "code", - "execution_count": 4, - "id": "1329bc14-69a9-4607-9824-1a18fb9ccf45", + "execution_count": 15, + "id": "38728de5-22d3-4cc8-838b-fdb662844d78", "metadata": { "tags": [] }, "outputs": [], "source": [ - "cobra.io.save_json_model(model_acido, './data/model_acido_gf.json')\n", - "cobra.io.save_json_model(model_rhoda, './data/model_rhoda_gf.json')" + "cobra.io.save_json_model(model_comm, './data/model_syncom.json')" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "de1ef705-ecb4-46c6-9326-59e762307fc9", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Reaction identifierrxn00611_cA
Namesn-Glycerol-3-phosphate:NAD+ 2-oxidoreductase [A]
Memory address0x7f8819475e40
Stoichiometry\n", + "

cpd00003_cA + cpd00080_cA <-- cpd00004_cA + cpd00067_cA + cpd00095_cA

\n", + "

NAD [A] + Glycerol-3-phosphate [A] <-- NADH [A] + H+ [A] + Glycerone-phosphate [A]

\n", + "
GPR
Lower bound-1000
Upper bound0
\n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_comm.reactions.rxn00611_cA.upper_bound = 0\n", + "model_comm.reactions.rxn00611_cA" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "0d6113b0-02c0-40be-ba6c-f43291dfff1c", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "model_comm.reactions.rxn00288_cA.upper_bound = 0\n", + "model_comm.reactions.rxn00288_cR.upper_bound = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "12e81f44-2502-4cf8-ba9b-f01ee46c6d2e", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Reaction identifierrxn00288_cR
NameSuccinate:(acceptor) oxidoreductase [R]
Memory address0x7f88196dbc10
Stoichiometry\n", + "

cpd00015_cR + cpd00036_cR + cpd00067_cR --> cpd00106_cR + cpd00982_cR

\n", + "

FAD [R] + Succinate [R] + H+ [R] --> Fumarate [R] + FADH2 [R]

\n", + "
GPR
Lower bound0
Upper bound0
\n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_comm.reactions.rxn00288_cR" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "182da825-b15e-4957-8352-bf03402e7ae4", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "rxn05561_cA H+ [e0] + Fumarate [e0] <=> H+ [A] + Fumarate [A] -5.560975609756097\n", + "rxn05319_cA H2O [e0] <=> H2O [A] -11.121951219512193\n", + "rxn00097_cA ATP [A] + AMP [A] + H+ [A] <=> 2 ADP [A] 10.243902439024389\n", + "rxn00336_cA Isocitrate [A] --> Succinate [A] + Glyoxalate [A] 5.560975609756097\n", + "rxn00248_cA NAD [A] + L-Malate [A] <=> NADH [A] + Oxaloacetate [A] + H+ [A] 5.560975609756097\n", + "rxn09176_cA ATP [A] + Phosphate [A] <=> ADP [A] + PPi [A] -10.243902439024389\n", + "rxn10122_cA NADH [A] + 4.5 H+ [A] + Ubiquinone-8 [A] --> NAD [A] + 3.5 H+ [e0] + Ubiquinol-8 [A] 6.439024390243903\n", + "rxn00175_cA ATP [A] + CoA [A] + Acetate [A] --> PPi [A] + AMP [A] + Acetyl-CoA [A] + H+ [A] 10.243902439024389\n", + "rxn09272_cA Succinate [A] + Ubiquinone-8 [A] --> Fumarate [A] + Ubiquinol-8 [A] 5.560975609756097\n", + "rxn01388_cA Isocitrate [A] <=> H2O [A] + cis-Aconitate [A] -5.560975609756097\n", + "rxn00974_cA Citrate [A] <=> H2O [A] + cis-Aconitate [A] 5.560975609756097\n", + "rxn00256_cA CoA [A] + H+ [A] + Citrate [A] <-- H2O [A] + Acetyl-CoA [A] + Oxaloacetate [A] -5.560975609756097\n", + "rxn00330_cA CoA [A] + H+ [A] + L-Malate [A] <-- H2O [A] + Acetyl-CoA [A] + Glyoxalate [A] -5.560975609756097\n", + "rxn00154_cA NAD [A] + CoA [A] + Pyruvate [A] --> NADH [A] + CO2 [A] + Acetyl-CoA [A] 0.8780487804878049\n", + "rxn08173_cA ADP [A] + Phosphate [A] + 4 H+ [e0] <=> H2O [A] + ATP [A] + 3 H+ [A] 10.243902439024389\n", + "rxn09004_cA Nitrite [A] + Nitrate [e0] <=> Nitrite [e0] + Nitrate [A] 12.0\n", + "dnr00001_cA 2 H+ [A] + Nitrate [A] + Ubiquinol-8 [A] --> H2O [A] + 2 H+ [e0] + Nitrite [A] + Ubiquinone-8 [A] 12.0\n", + "rxn05469_cA Pyruvate [e0] + H+ [e0] <=> Pyruvate [A] + H+ [A] 0.8780487804878049\n", + "rxn05488_cA Acetate [e0] + H+ [e0] <=> Acetate [A] + H+ [A] 10.243902439024389\n", + "rxn05467_cA CO2 [e0] <=> CO2 [A] -0.8780487804878049\n", + "rxn05561_cR H+ [e0] + Fumarate [e0] <=> H+ [R] + Fumarate [R] 5.560975609756097\n", + "rxn00172_cR ATP [R] + CoA [R] + Acetate [R] <-- ADP [R] + Phosphate [R] + Acetyl-CoA [R] -2.743902439024402\n", + "rxn00148_cR ATP [R] + Pyruvate [R] <-- ADP [R] + Phosphoenolpyruvate [R] + H+ [R] -7.4999999999999964\n", + "rxn00336_cR Isocitrate [R] --> Succinate [R] + Glyoxalate [R] 1.9390243902438948\n", + "rxn00248_cR NAD [R] + L-Malate [R] <=> NADH [R] + Oxaloacetate [R] + H+ [R] 9.439024390243887\n", + "rxn00251_cR Phosphate [R] + Oxaloacetate [R] + H+ [R] <=> H2O [R] + CO2 [R] + Phosphoenolpyruvate [R] 7.499999999999992\n", + "rxn10122_cR NADH [R] + 4.5 H+ [R] + Ubiquinone-8 [R] --> NAD [R] + 3.5 H+ [e0] + Ubiquinol-8 [R] 16.060975609756078\n", + "rxn00799_cR L-Malate [R] <=> H2O [R] + Fumarate [R] -7.499999999999992\n", + "rxn09272_cR Succinate [R] + Ubiquinone-8 [R] --> Fumarate [R] + Ubiquinol-8 [R] 1.9390243902438948\n", + "rxn01388_cR Isocitrate [R] <=> H2O [R] + cis-Aconitate [R] -1.9390243902438948\n", + "rxn00974_cR Citrate [R] <=> H2O [R] + cis-Aconitate [R] 1.9390243902438948\n", + "rxn00256_cR CoA [R] + H+ [R] + Citrate [R] <-- H2O [R] + Acetyl-CoA [R] + Oxaloacetate [R] -1.9390243902438948\n", + "rxn00330_cR CoA [R] + H+ [R] + L-Malate [R] <-- H2O [R] + Acetyl-CoA [R] + Glyoxalate [R] -1.9390243902438948\n", + "rxn00154_cR NAD [R] + CoA [R] + Pyruvate [R] --> NADH [R] + CO2 [R] + Acetyl-CoA [R] 6.621951219512192\n", + "rxn08173_cR ADP [R] + Phosphate [R] + 4 H+ [e0] <=> H2O [R] + ATP [R] + 3 H+ [R] 15.443597560975595\n", + "rxn14412_cR 2 Cytochrome c3+ [R] + Ubiquinol-8 [R] --> 2 H+ [e0] + 2 Cytochrome c2+ [R] + Ubiquinone-8 [R] 17.99999999999997\n", + "dnr00002_cR 2 H+ [e0] + Nitrite [e0] + Reduced azurin [R] --> H2O [e0] + NO [e0] + Oxidized azurin [R] 11.99999999999998\n", + "dnr00003_cR 2 H+ [e0] + 2 NO [e0] + 2 Reduced azurin [R] --> H2O [e0] + Nitrous oxide [e0] + 2 Oxidized azurin [R] 5.99999999999999\n", + "dnr00004_cR 2 H+ [e0] + Nitrous oxide [e0] + 2 Reduced azurin [R] --> H2O [e0] + N2 [e0] + 2 Oxidized azurin [R] 5.99999999999999\n", + "dnr00005_cR Cytochrome c2+ [R] + Oxidized azurin [R] --> Cytochrome c3+ [R] + Reduced azurin [R] 35.99999999999994\n", + "rxn05469_cR Pyruvate [e0] + H+ [e0] <=> Pyruvate [R] + H+ [R] -0.8780487804878049\n", + "rxn05319_cR H2O [e0] <=> H2O [R] 14.121951219512194\n", + "rxn05488_cR Acetate [e0] + H+ [e0] <=> Acetate [R] + H+ [R] -2.743902439024402\n", + "rxn05467_cR CO2 [e0] <=> CO2 [R] -14.121951219512184\n", + "ATPM_cR H2O [R] + ATP [R] --> ADP [R] + Phosphate [R] + H+ [R] 25.6875\n", + "EX_cpd00067_e0 H+ [e0] <=> -19.499999999999964\n", + "EX_cpd00001_e0 H2O [e0] <=> 20.999999999999957\n", + "EX_cpd00209_e0 Nitrate [e0] <=> -12.0\n", + "EX_cpd00528_e0 N2 [e0] --> 5.99999999999999\n", + "EX_cpd00029_e0 Acetate [e0] <=> -7.499999999999987\n", + "EX_cpd00011_e0 CO2 [e0] --> 14.99999999999999\n" + ] + } + ], + "source": [ + "for r in model_comm.reactions:\n", + " v = sol.fluxes[r.id]\n", + " if v!= 0:\n", + " print(r.id, r.build_reaction_string(True), v)" ] }, { "cell_type": "code", "execution_count": null, - "id": "46bf12c8-56b8-4121-bba3-afb36992c4ec", + "id": "c1d9acfb-3975-493f-8408-e9711e3ad26a", "metadata": {}, "outputs": [], "source": [] diff --git a/Metabolic_modeling/data/model_acido_gf2.json b/Metabolic_modeling/data/model_acido_gf2.json new file mode 100644 index 0000000..754ea44 --- /dev/null +++ b/Metabolic_modeling/data/model_acido_gf2.json @@ -0,0 +1,44506 @@ +{ +"metabolites":[ +{ +"id":"cpd00443_c0", +"name":"ABEE [c0]", +"compartment":"c0", +"charge":-1, +"formula":"C7H6NO2", +"notes":{ +"modelseed_template_id":"cpd00443_c" +} +}, +{ +"id":"cpd02920_c0", +"name":"2-Amino-4-hydroxy-6-hydroxymethyl-7-8-dihydropteridinediphosphate [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C7H9N5O8P2", +"notes":{ +"modelseed_template_id":"cpd02920_c" +} +}, +{ +"id":"cpd00012_c0", +"name":"PPi [c0]", +"compartment":"c0", +"charge":-3, +"formula":"HO7P2", +"notes":{ +"modelseed_template_id":"cpd00012_c" +} +}, +{ +"id":"cpd00067_c0", +"name":"H+ [c0]", +"compartment":"c0", +"charge":1, +"formula":"H", +"notes":{ +"modelseed_template_id":"cpd00067_c" +} +}, +{ +"id":"cpd00683_c0", +"name":"Dihydropteroate [c0]", +"compartment":"c0", +"charge":-1, +"formula":"C14H13N6O3", +"notes":{ +"modelseed_template_id":"cpd00683_c" +} +}, +{ +"id":"cpd00002_c0", +"name":"ATP [c0]", +"compartment":"c0", +"charge":-3, +"formula":"C10H13N5O13P3", +"notes":{ +"modelseed_template_id":"cpd00002_c" +} +}, +{ +"id":"cpd00033_c0", +"name":"Glycine [c0]", +"compartment":"c0", +"charge":0, +"formula":"C2H5NO2", +"notes":{ +"modelseed_template_id":"cpd00033_c" +} +}, +{ +"id":"cpd00506_c0", +"name":"gamma-Glutamylcysteine [c0]", +"compartment":"c0", +"charge":-1, +"formula":"C8H13N2O5S", +"notes":{ +"modelseed_template_id":"cpd00506_c" +} +}, +{ +"id":"cpd00008_c0", +"name":"ADP [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C10H13N5O10P2", +"notes":{ +"modelseed_template_id":"cpd00008_c" +} +}, +{ +"id":"cpd00009_c0", +"name":"Phosphate [c0]", +"compartment":"c0", +"charge":-2, +"formula":"HO4P", +"notes":{ +"modelseed_template_id":"cpd00009_c" +} +}, +{ +"id":"cpd00042_c0", +"name":"GSH [c0]", +"compartment":"c0", +"charge":-1, +"formula":"C10H16N3O6S", +"notes":{ +"modelseed_template_id":"cpd00042_c" +} +}, +{ +"id":"cpd00022_c0", +"name":"Acetyl-CoA [c0]", +"compartment":"c0", +"charge":-4, +"formula":"C23H34N7O17P3S", +"notes":{ +"modelseed_template_id":"cpd00022_c" +} +}, +{ +"id":"cpd00054_c0", +"name":"L-Serine [c0]", +"compartment":"c0", +"charge":0, +"formula":"C3H7NO3", +"notes":{ +"modelseed_template_id":"cpd00054_c" +} +}, +{ +"id":"cpd00010_c0", +"name":"CoA [c0]", +"compartment":"c0", +"charge":-4, +"formula":"C21H32N7O16P3S", +"notes":{ +"modelseed_template_id":"cpd00010_c" +} +}, +{ +"id":"cpd00722_c0", +"name":"O-Acetyl-L-serine [c0]", +"compartment":"c0", +"charge":0, +"formula":"C5H9NO4", +"notes":{ +"modelseed_template_id":"cpd00722_c" +} +}, +{ +"id":"cpd00046_c0", +"name":"CMP [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C9H12N3O8P", +"notes":{ +"modelseed_template_id":"cpd00046_c" +} +}, +{ +"id":"cpd00096_c0", +"name":"CDP [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C9H13N3O11P2", +"notes":{ +"modelseed_template_id":"cpd00096_c" +} +}, +{ +"id":"cpd00067_e0", +"name":"H+ [e0]", +"compartment":"e0", +"charge":1, +"formula":"H", +"notes":{ +"modelseed_template_id":"cpd00067_e" +} +}, +{ +"id":"cpd00106_e0", +"name":"Fumarate [e0]", +"compartment":"e0", +"charge":-2, +"formula":"C4H2O4", +"notes":{ +"modelseed_template_id":"cpd00106_e" +} +}, +{ +"id":"cpd00106_c0", +"name":"Fumarate [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C4H2O4", +"notes":{ +"modelseed_template_id":"cpd00106_c" +} +}, +{ +"id":"cpd00037_c0", +"name":"UDP-N-acetylglucosamine [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C17H25N3O17P2", +"notes":{ +"modelseed_template_id":"cpd00037_c" +} +}, +{ +"id":"cpd03494_c0", +"name":"Undecaprenyl-diphospho-N-acetylmuramoyl-L-alanyl-D-glutamyl-meso-2-6-diaminopimeloyl-D-alanyl-D-alanine [c0]", +"compartment":"c0", +"charge":-4, +"formula":"C87H139N7O23P2", +"notes":{ +"modelseed_template_id":"cpd03494_c" +} +}, +{ +"id":"cpd00014_c0", +"name":"UDP [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C9H12N2O12P2", +"notes":{ +"modelseed_template_id":"cpd00014_c" +} +}, +{ +"id":"cpd03495_c0", +"name":"Undecaprenyl-diphospho-N-acetylmuramoyl--N-acetylglucosamine-L-ala-D-glu-meso-2-6-diaminopimeloyl-D-ala-D-ala [c0]", +"compartment":"c0", +"charge":-4, +"formula":"C95H152N8O28P2", +"notes":{ +"modelseed_template_id":"cpd03495_c" +} +}, +{ +"id":"cpd00001_c0", +"name":"H2O [c0]", +"compartment":"c0", +"charge":0, +"formula":"H2O", +"notes":{ +"modelseed_template_id":"cpd00001_c" +} +}, +{ +"id":"cpd00658_c0", +"name":"Isochorismate [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C10H8O6", +"notes":{ +"modelseed_template_id":"cpd00658_c" +} +}, +{ +"id":"cpd00020_c0", +"name":"Pyruvate [c0]", +"compartment":"c0", +"charge":-1, +"formula":"C3H3O3", +"notes":{ +"modelseed_template_id":"cpd00020_c" +} +}, +{ +"id":"cpd02566_c0", +"name":"2,3-Dihydroxy-2,3-dihydrobenzoate [c0]", +"compartment":"c0", +"charge":-1, +"formula":"C7H7O4", +"notes":{ +"modelseed_template_id":"cpd02566_c" +} +}, +{ +"id":"cpd11440_c0", +"name":"fa6 [c0]", +"compartment":"c0", +"charge":-1, +"formula":"C16H31O2", +"notes":{ +"modelseed_template_id":"cpd11440_c" +} +}, +{ +"id":"cpd00018_c0", +"name":"AMP [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C10H12N5O7P", +"notes":{ +"modelseed_template_id":"cpd00018_c" +} +}, +{ +"id":"cpd11441_c0", +"name":"fa6coa [c0]", +"compartment":"c0", +"charge":-3, +"formula":"C37H63N7O17P3S", +"notes":{ +"modelseed_template_id":"cpd11441_c" +} +}, +{ +"id":"cpd00023_c0", +"name":"L-Glutamate [c0]", +"compartment":"c0", +"charge":-1, +"formula":"C5H8NO4", +"notes":{ +"modelseed_template_id":"cpd00023_c" +} +}, +{ +"id":"cpd00084_c0", +"name":"L-Cysteine [c0]", +"compartment":"c0", +"charge":0, +"formula":"C3H7NO2S", +"notes":{ +"modelseed_template_id":"cpd00084_c" +} +}, +{ +"id":"cpd00004_c0", +"name":"NADH [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C21H27N7O14P2", +"notes":{ +"modelseed_template_id":"cpd00004_c" +} +}, +{ +"id":"cpd11527_c0", +"name":"7-methyl-trans-oct-2-enoyl-ACP [c0]", +"compartment":"c0", +"charge":-1, +"formula":"C20H35N2O8PRS", +"notes":{ +"modelseed_template_id":"cpd11527_c" +} +}, +{ +"id":"cpd00003_c0", +"name":"NAD [c0]", +"compartment":"c0", +"charge":-1, +"formula":"C21H26N7O14P2", +"notes":{ +"modelseed_template_id":"cpd00003_c" +} +}, +{ +"id":"cpd11528_c0", +"name":"7-methyl-octanoyl-ACP [c0]", +"compartment":"c0", +"charge":-1, +"formula":"C20H37N2O8PRS", +"notes":{ +"modelseed_template_id":"cpd11528_c" +} +}, +{ +"id":"cpd00533_c0", +"name":"dCDP [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C9H13N3O10P2", +"notes":{ +"modelseed_template_id":"cpd00533_c" +} +}, +{ +"id":"cpd00356_c0", +"name":"dCTP [c0]", +"compartment":"c0", +"charge":-3, +"formula":"C9H13N3O13P3", +"notes":{ +"modelseed_template_id":"cpd00356_c" +} +}, +{ +"id":"cpd00075_e0", +"name":"Nitrite [e0]", +"compartment":"e0", +"charge":-1, +"formula":"NO2", +"notes":{ +"modelseed_template_id":"cpd00075_e" +} +}, +{ +"id":"cpd00075_c0", +"name":"Nitrite [c0]", +"compartment":"c0", +"charge":-1, +"formula":"NO2", +"notes":{ +"modelseed_template_id":"cpd00075_c" +} +}, +{ +"id":"cpd00851_c0", +"name":"trans-4-Hydroxy-L-proline [c0]", +"compartment":"c0", +"charge":0, +"formula":"C5H9NO3", +"notes":{ +"modelseed_template_id":"cpd00851_c" +} +}, +{ +"id":"cpd02175_c0", +"name":"cis-4-Hydroxy-D-proline [c0]", +"compartment":"c0", +"charge":0, +"formula":"C5H9NO3", +"notes":{ +"modelseed_template_id":"cpd02175_c" +} +}, +{ +"id":"cpd00213_c0", +"name":"Lipoamide [c0]", +"compartment":"c0", +"charge":0, +"formula":"C8H15NOS2", +"notes":{ +"modelseed_template_id":"cpd00213_c" +} +}, +{ +"id":"cpd03049_c0", +"name":"2-Hydroxyethyl-ThPP [c0]", +"compartment":"c0", +"charge":-1, +"formula":"C14H21N4O8P2S", +"notes":{ +"modelseed_template_id":"cpd03049_c" +} +}, +{ +"id":"cpd00056_c0", +"name":"TPP [c0]", +"compartment":"c0", +"charge":-1, +"formula":"C12H17N4O7P2S", +"notes":{ +"modelseed_template_id":"cpd00056_c" +} +}, +{ +"id":"cpd00836_c0", +"name":"S-Acetyldihydrolipoamide [c0]", +"compartment":"c0", +"charge":0, +"formula":"C10H19NO2S2", +"notes":{ +"modelseed_template_id":"cpd00836_c" +} +}, +{ +"id":"cpd00006_c0", +"name":"NADP [c0]", +"compartment":"c0", +"charge":-3, +"formula":"C21H25N7O17P3", +"notes":{ +"modelseed_template_id":"cpd00006_c" +} +}, +{ +"id":"cpd00842_c0", +"name":"(S)-3-Hydroxybutyryl-CoA [c0]", +"compartment":"c0", +"charge":-4, +"formula":"C25H38N7O18P3S", +"notes":{ +"modelseed_template_id":"cpd00842_c" +} +}, +{ +"id":"cpd00005_c0", +"name":"NADPH [c0]", +"compartment":"c0", +"charge":-4, +"formula":"C21H26N7O17P3", +"notes":{ +"modelseed_template_id":"cpd00005_c" +} +}, +{ +"id":"cpd00279_c0", +"name":"Acetoacetyl-CoA [c0]", +"compartment":"c0", +"charge":-4, +"formula":"C25H36N7O18P3S", +"notes":{ +"modelseed_template_id":"cpd00279_c" +} +}, +{ +"id":"cpd00521_c0", +"name":"dTDP-4-oxo-6-deoxy-D-glucose [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C16H22N2O15P2", +"notes":{ +"modelseed_template_id":"cpd00521_c" +} +}, +{ +"id":"cpd00522_c0", +"name":"dTDP-4-oxo-L-rhamnose [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C16H22N2O15P2", +"notes":{ +"modelseed_template_id":"cpd00522_c" +} +}, +{ +"id":"cpd03113_c0", +"name":"(S)-3-Hydroxyhexadecanoyl-CoA [c0]", +"compartment":"c0", +"charge":-4, +"formula":"C37H62N7O18P3S", +"notes":{ +"modelseed_template_id":"cpd03113_c" +} +}, +{ +"id":"cpd03114_c0", +"name":"3-Oxopalmitoyl-CoA [c0]", +"compartment":"c0", +"charge":-4, +"formula":"C37H60N7O18P3S", +"notes":{ +"modelseed_template_id":"cpd03114_c" +} +}, +{ +"id":"cpd00039_c0", +"name":"L-Lysine [c0]", +"compartment":"c0", +"charge":1, +"formula":"C6H15N2O2", +"notes":{ +"modelseed_template_id":"cpd00039_c" +} +}, +{ +"id":"cpd00011_c0", +"name":"CO2 [c0]", +"compartment":"c0", +"charge":0, +"formula":"CO2", +"notes":{ +"modelseed_template_id":"cpd00011_c" +} +}, +{ +"id":"cpd01155_c0", +"name":"Cadaverine [c0]", +"compartment":"c0", +"charge":2, +"formula":"C5H16N2", +"notes":{ +"modelseed_template_id":"cpd01155_c" +} +}, +{ +"id":"cpd01307_c0", +"name":"D-Lyxitol [c0]", +"compartment":"c0", +"charge":0, +"formula":"C5H12O5", +"notes":{ +"modelseed_template_id":"cpd01307_c" +} +}, +{ +"id":"cpd00259_c0", +"name":"D-Lyxulose [c0]", +"compartment":"c0", +"charge":0, +"formula":"C5H10O5", +"notes":{ +"modelseed_template_id":"cpd00259_c" +} +}, +{ +"id":"cpd11466_c0", +"name":"Myristoyl-ACP [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C25H48N2O8PRS", +"notes":{ +"modelseed_template_id":"cpd11466_c" +} +}, +{ +"id":"cpd01695_c0", +"name":"Myristoyl-CoA [c0]", +"compartment":"c0", +"charge":-4, +"formula":"C35H58N7O17P3S", +"notes":{ +"modelseed_template_id":"cpd01695_c" +} +}, +{ +"id":"cpd11493_c0", +"name":"ACP [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C11H22N2O7PRS", +"notes":{ +"modelseed_template_id":"cpd11493_c" +} +}, +{ +"id":"cpd07923_c0", +"name":"2'-Deoxy-5-hydroxymethylcytidine-5'-diphosphate [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C10H15N3O11P2", +"notes":{ +"modelseed_template_id":"cpd07923_c" +} +}, +{ +"id":"cpd07924_c0", 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GW101-3H11_contig_1_3746 and GW101-3H11_contig_1_3917 and GW101-3H11_contig_1_1170 and GW101-3H11_contig_1_1817 and GW101-3H11_contig_1_425 and GW101-3H11_contig_1_3864 and GW101-3H11_contig_1_485 and GW101-3H11_contig_1_4501 and GW101-3H11_contig_1_423 and GW101-3H11_contig_1_1539 and GW101-3H11_contig_1_4576 and GW101-3H11_contig_1_371 and (GW101-3H11_contig_1_4494 or GW101-3H11_contig_1_589) and GW101-3H11_contig_1_482 and GW101-3H11_contig_1_420 and GW101-3H11_contig_1_430 and GW101-3H11_contig_1_3678 and GW101-3H11_contig_1_4258 and GW101-3H11_contig_1_3848 and GW101-3H11_contig_1_422 and GW101-3H11_contig_1_4816 and GW101-3H11_contig_1_3403 and GW101-3H11_contig_1_484 and GW101-3H11_contig_1_427 and GW101-3H11_contig_1_426 and GW101-3H11_contig_1_1960 and GW101-3H11_contig_1_3845 and GW101-3H11_contig_1_3878 and GW101-3H11_contig_1_1111 and GW101-3H11_contig_1_417 and GW101-3H11_contig_1_429 and GW101-3H11_contig_1_1433 and GW101-3H11_contig_1_3407 and GW101-3H11_contig_1_2718 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+"lower_bound":-0.0, +"upper_bound":1000, +"gene_reaction_rule":"", +"subsystem":"exchanges", +"annotation":{ +"sbo":"SBO:0000627" +} +}, +{ +"id":"EX_cpd01080_e0", +"name":"Exchange for ocdca [e0]", +"metabolites":{ +"cpd01080_e0":-1 +}, +"lower_bound":-0.0, +"upper_bound":1000, +"gene_reaction_rule":"", +"subsystem":"exchanges", +"annotation":{ +"sbo":"SBO:0000627" +} +}, +{ +"id":"EX_cpd00129_e0", +"name":"Exchange for L-Proline [e0]", +"metabolites":{ +"cpd00129_e0":-1 +}, +"lower_bound":-0.0, +"upper_bound":1000, +"gene_reaction_rule":"", +"subsystem":"exchanges", +"annotation":{ +"sbo":"SBO:0000627" +} +}, +{ +"id":"EX_cpd00128_e0", +"name":"Exchange for Adenine [e0]", +"metabolites":{ +"cpd00128_e0":-1 +}, +"lower_bound":-0.0, +"upper_bound":1000, +"gene_reaction_rule":"", +"subsystem":"exchanges", +"annotation":{ +"sbo":"SBO:0000627" +} +}, +{ +"id":"EX_cpd00412_e0", +"name":"Exchange for Deoxyuridine [e0]", +"metabolites":{ +"cpd00412_e0":-1 +}, +"lower_bound":-0.0, +"upper_bound":1000, +"gene_reaction_rule":"", +"subsystem":"exchanges", +"annotation":{ +"sbo":"SBO:0000627" +} +}, +{ +"id":"EX_cpd03279_e0", +"name":"Exchange for Deoxyinosine [e0]", +"metabolites":{ +"cpd03279_e0":-1 +}, +"lower_bound":-0.0, +"upper_bound":1000, +"gene_reaction_rule":"", +"subsystem":"exchanges", +"annotation":{ +"sbo":"SBO:0000627" +} +}, +{ +"id":"EX_cpd00277_e0", +"name":"Exchange for Deoxyguanosine [e0]", +"metabolites":{ +"cpd00277_e0":-1 +}, +"lower_bound":-0.0, +"upper_bound":1000, +"gene_reaction_rule":"", +"subsystem":"exchanges", +"annotation":{ +"sbo":"SBO:0000627" +} +}, +{ +"id":"EX_cpd00355_e0", +"name":"Exchange for Nicotinamide ribonucleotide [e0]", +"metabolites":{ +"cpd00355_e0":-1 +}, +"lower_bound":-0.0, +"upper_bound":1000, +"gene_reaction_rule":"", +"subsystem":"exchanges", +"annotation":{ +"sbo":"SBO:0000627" +} +}, +{ +"id":"EX_cpd01155_e0", +"name":"Exchange for Cadaverine [e0]", +"metabolites":{ +"cpd01155_e0":-1 +}, +"lower_bound":-0.0, +"upper_bound":1000, +"gene_reaction_rule":"", +"subsystem":"exchanges", +"annotation":{ +"sbo":"SBO:0000627" +} +}, +{ +"id":"EX_cpd00116_e0", +"name":"Exchange for Methanol [e0]", +"metabolites":{ +"cpd00116_e0":-1 +}, +"lower_bound":-0.0, +"upper_bound":1000, +"gene_reaction_rule":"", +"subsystem":"exchanges", +"annotation":{ +"sbo":"SBO:0000627" +} +}, +{ +"id":"EX_cpd11640_e0", +"name":"Exchange for H2 [e0]", +"metabolites":{ +"cpd11640_e0":-1 +}, +"lower_bound":-0.0, +"upper_bound":1000, +"gene_reaction_rule":"", +"subsystem":"exchanges", +"annotation":{ +"sbo":"SBO:0000627" +} +}, +{ +"id":"bio1", +"name":"bio_com", +"metabolites":{ +"cpd11416_cA":-0.4, +"cpd11416_cR":-0.6 +}, +"lower_bound":0, +"upper_bound":1000, +"gene_reaction_rule":"" +} +], +"genes":[], +"id":"model", +"compartments":{ +"cA":"", +"cR":"", +"e0":"" +}, +"version":"1" +} \ No newline at end of file diff --git a/Metabolic_modeling/isolates.ipynb b/Metabolic_modeling/isolates.ipynb new file mode 100644 index 0000000..853e66d --- /dev/null +++ b/Metabolic_modeling/isolates.ipynb @@ -0,0 +1,894 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "5a2d8bad-ae56-4b7a-be27-49d97332d424", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "modelseedpy 0.4.0\n" + ] + } + ], + "source": [ + "import cobra\n", + "import pandas as pd\n", + "import modelseedpy" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "56986bba-7bf8-41b2-ae08-aac532e2061b", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Set parameter TSPort to value 27070\n", + "Set parameter TokenServer to value \"lic-vmw-01.cels.anl.gov\"\n" + ] + } + ], + "source": [ + "model_rhoda = cobra.io.load_json_model('./data/model_rhoda_gf2.json')\n", + "model_acido = cobra.io.load_json_model('./data/model_acido_gf2.json')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cfc34664-e7f1-426b-9147-375479dbd0e0", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "MEDIA_ACETATE_NITRATE = {\n", + " 'EX_cpd00067_e0': 100.0,\n", + " 'EX_cpd00058_e0': 100.0,\n", + " 'EX_cpd00971_e0': 34.9324073,\n", + " 'EX_cpd00013_e0': 100.0,\n", + " 'EX_cpd00205_e0': 1.3415688,\n", + " 'EX_cpd00009_e0': 100.0,\n", + " 'EX_cpd11574_e0': 100.0,\n", + " 'EX_cpd00048_e0': 100.0,\n", + " 'EX_cpd00030_e0': 100.0,\n", + " 'EX_cpd00209_e0': 10.0,\n", + " 'EX_cpd00254_e0': 100.0,\n", + " 'EX_cpd10515_e0': 100.0,\n", + " 'EX_cpd00149_e0': 100.0,\n", + " 'EX_cpd00099_e0': 100.0,\n", + " 'EX_cpd00001_e0': 100.0,\n", + " 'EX_cpd00029_e0': 20.0,\n", + " 'EX_cpd00063_e0': 100.0,\n", + " 'EX_cpd00034_e0': 100.0,\n", + " 'EX_cpd00305_e0': 100.0\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "3bf6f214-6fde-40b0-a2f2-b86cae11659a", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "model_rhoda.medium = MEDIA_ACETATE_NITRATE\n", + "model_acido.medium = MEDIA_ACETATE_NITRATE" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "c07bebac-b62e-4641-9c85-1ebd9979310f", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "model_acido.reactions.rxn10126_c0.upper_bound = 0\n", + "model_rhoda.reactions.rxn10126_c0.upper_bound = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "8de3a3e6-d168-4fc6-b6fc-7f15ffc83dfd", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "df_growth_data_r12 = pd.read_csv('./data/growth_data_R12.tsv', sep='\\t')\n", + "df_growth_data_3h11 = pd.read_csv('./data/growth_data_3H11.tsv', sep='\\t')" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "347e14e1-027a-440a-a229-2908f7b60a27", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "exp_data_3h11 = {\n", + " 'time_total': 71,\n", + " 'ac_uptake': -1.7762543,\n", + " 'growth_OD': 0.07776,\n", + " 'OD_coeff': 0.006,\n", + " 'no3_uptake': -9.00923926\n", + "}\n", + "exp_data_r12 = {\n", + " 'time_total': 336,\n", + " 'ac_uptake': -5.4139872,\n", + " 'growth_OD': 0.40074,\n", + " 'OD_coeff': 0.008,\n", + " 'no3_uptake': -9.03407482\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "a340db4e-4ab3-4bcc-9eb2-350eaba52ab3", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "_od_to_biomass_coeff = exp_data_r12['OD_coeff']\n", + "_model = model_rhoda\n", + "_data = df_growth_data_r12.to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "663e0d21-6e76-40a0-a966-9e993193dd7e", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(11, 6)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(df_growth_data_r12), len(_data)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "659a8776-74ac-49b3-a039-e36f12d74782", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "11" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(_data['time'])" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "eac6d4d1-f46b-43db-935c-a7c155b456c6", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "model_rhoda.reactions.EX_cpd00528_e0.upper_bound = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "a0826093-a819-4b11-93ea-46cd7ce608bd", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "_od_to_biomass_coeff = exp_data_3h11['OD_coeff']\n", + "_model = model_acido\n", + "_data = df_growth_data_3h11.to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "c5be4ea6-5d42-464b-88cd-c1f879f90f98", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 1\n", + "0 23\n", + "18.0313603 17.8153092 -0.009393526086956427\n", + "9.14450462 7.89058453 -0.05451826478260867\n", + "0.01013 0.03307 0.0009973913043478263 5.984347826086957e-06\n", + "error biomass: 0.0 AC 8.377585549782597e-05 NO3 0.00291744891778715\n", + "error biomass: 0.0 AC 4.286198126811034e-18 NO3 0.0003028414818080274\n", + "0.04233109075028085\n", + "\n", + "1 2\n", + "23 42\n", + "17.8153092 16.0726961 -0.09171647894736841\n", + "7.89058453 1.35000045 -0.3442412673684211\n", + "0.03307 0.06107 0.0014736842105263156 8.842105263157893e-06\n", + "error biomass: 0.0 AC 0.008346812251707709 NO3 0.11798896756119623\n", + "error biomass: 0.0 AC 3.009022641733296e-05 NO3 0.0\n", + "0.39716200220923764\n", + "\n", + "2 3\n", + "42 53\n", + "16.0726961 15.9261701 -0.01332054545454559\n", + "1.35000045 0.12091592 -0.11173495727272727\n", + "0.06107 0.07075 0.0008799999999999995 5.279999999999997e-06\n", + "error biomass: 0.0 AC 0.000171826323308037 NO3 0.012385358775833365\n", + "error biomass: 0.0 AC 8.3415402669387935e-19 NO3 0.0034640789795323287\n", + "0.06062553509350305\n", + "\n", + "3 4\n", + "4 5\n" + ] + } + ], + "source": [ + "solutions_bio = []\n", + "solutions_atp = {}\n", + "\n", + "for i in range(len(_data['time']) - 1):\n", + " print(i, i+1)\n", + " _t0 = _data['time'][i]\n", + " _t1 = _data['time'][i + 1]\n", + " _t = _t1 - _t0\n", + " _ac0 = _data['Acetate'][i]\n", + " _ac1 = _data['Acetate'][i + 1]\n", + " \n", + " _od600_0 = _data['OD600'][i]\n", + " _od600_1 = _data['OD600'][i + 1]\n", + " \n", + " _no3_0 = _data['NO3'][i]\n", + " _no3_1 = _data['NO3'][i + 1]\n", + " \n", + " _ac_uptake = (_ac1 - _ac0) / _t\n", + " _no3_uptake = (_no3_1 - _no3_0) / _t\n", + " _od600_change = (_od600_1 - _od600_0) / _t\n", + " _biomass_change = _od600_change * _od_to_biomass_coeff\n", + " \n", + " if _ac_uptake < 0 and _no3_uptake < 0:\n", + " \n", + " print(_t0, _t1)\n", + " print(_ac0, _ac1, _ac_uptake)\n", + " print(_no3_0, _no3_1, _no3_uptake)\n", + " print(_od600_0, _od600_1, _od600_change, _biomass_change)\n", + " \n", + " _model.objective = 'bio1'\n", + " _model.reactions.EX_cpd00209_e0.lower_bound = _no3_uptake\n", + " _model.reactions.EX_cpd00029_e0.lower_bound = _ac_uptake\n", + " _model.reactions.bio1.lower_bound = 0\n", + " _model.reactions.bio1.upper_bound = _biomass_change\n", + "\n", + " sol_bio = cobra.flux_analysis.pfba(_model)\n", + " solutions_bio.append(sol_bio)\n", + "\n", + " _biomass_err = (_biomass_change - sol_bio.fluxes['bio1']) ** 2\n", + " _ac_err = (_ac_uptake - sol_bio.fluxes['EX_cpd00029_e0']) ** 2\n", + " _no3_err = (_no3_uptake - sol_bio.fluxes['EX_cpd00209_e0']) ** 2\n", + " \n", + "\n", + " print('error biomass:', _biomass_err, 'AC', _ac_err, 'NO3', _no3_err)\n", + " \n", + " _model.objective = 'ATPM_c0'\n", + " _model.reactions.bio1.lower_bound = _biomass_change\n", + " _model.reactions.bio1.upper_bound = _biomass_change\n", + " \n", + " sol_atp = cobra.flux_analysis.pfba(_model)\n", + " solutions_atp[(_t0, _t1)] = sol_atp\n", + " \n", + " _biomass_err = (_biomass_change - sol_atp.fluxes['bio1']) ** 2\n", + " _ac_err = (_ac_uptake - sol_atp.fluxes['EX_cpd00029_e0']) ** 2\n", + " _no3_err = (_no3_uptake - sol_atp.fluxes['EX_cpd00209_e0']) ** 2\n", + " \n", + "\n", + " print('error biomass:', _biomass_err, 'AC', _ac_err, 'NO3', _no3_err)\n", + " print(sol_atp.fluxes['ATPM_c0'])\n", + " print()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "10cc3930-5438-4228-9226-0916fd5884e9", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['time', 'Acetate', 'OD600', 'NO3', 'NO2', 'N2O', 'biomass'])" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def generate_total_acc_data(solutions, capture, base_values=None):\n", + " if base_values is None:\n", + " base_values = {}\n", + " df_res = {k: [] for k in capture}\n", + " df_res['time'] = []\n", + " arr_acc = {k: base_values.get(k, 0) for k in capture}\n", + " \n", + " for (_t0, _t1), sol in solutions.items():\n", + " time = _t0\n", + " _t = _t1 - _t0\n", + " for time_step in range(_t):\n", + " for alias, rxn_id in capture.items():\n", + " df_res[alias].append(arr_acc[alias])\n", + " arr_acc[alias] += sol.fluxes[rxn_id]\n", + " df_res['time'].append(time)\n", + " time += 1\n", + " \n", + " return df_res\n", + "capture = {\n", + " 'biomass': 'bio1',\n", + " 'acetate': 'EX_cpd00029_e0',\n", + " 'no3': 'EX_cpd00209_e0',\n", + " 'no2': 'EX_cpd00075_e0',\n", + " 'n2o': 'EX_cpd00659_e0',\n", + " 'no': 'EX_cpd00418_e0',\n", + " 'n2': 'EX_cpd00528_e0',\n", + "}\n", + "base_values = {\n", + " 'biomass': 0.01093 * _od_to_biomass_coeff,\n", + " 'acetate': 18.0313603,\n", + " 'no3': 9.14450462,\n", + "}\n", + "_data_pred = generate_total_acc_data(solutions_atp, capture, base_values)\n", + "_data_exp = {k: list(v.values()) for k, v in _data.items()}\n", + "_data_exp['biomass'] = [x * _od_to_biomass_coeff for x in _data_exp['OD600']]\n", + "_data_exp.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "9c54a3a6-7b1d-4aff-8e22-f438453eb6ac", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.patches as mpatches\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "color_acetate = 'black'\n", + "color_no3 = 'blue'\n", + "color_no2 = 'green'\n", + "color_n2o = 'purple'\n", + "color_no = 'orange'\n", + "color_n2 = 'cyan'\n", + "\n", + "fig, ax = plt.subplots()\n", + "ax2 = ax.twinx()\n", + "fig.set_size_inches(25.7, 8.27)\n", + "\n", + "\n", + "sns.lineplot(data=_data_pred, x='time', y='biomass', ax=ax2, color='sienna')\n", + "sns.scatterplot(data=_data_exp, x='time', y='biomass', ax=ax2, color='sienna')\n", + "\n", + "sns.lineplot(data=_data_pred, x='time', y='acetate', ax=ax, color=color_acetate)\n", + "sns.scatterplot(data=_data_exp, x='time', y='Acetate', ax=ax, color=color_acetate)\n", + "sns.lineplot(data=_data_pred, x='time', y='no3', ax=ax, color=color_no3)\n", + "sns.scatterplot(data=_data_exp, x='time', y='NO3', ax=ax, color=color_no3)\n", + "sns.lineplot(data=_data_pred, x='time', y='no2', ax=ax, color=color_no2)\n", + "sns.scatterplot(data=_data_exp, x='time', y='NO2', ax=ax, color=color_no2)\n", + "sns.lineplot(data=_data_pred, x='time', y='n2o', ax=ax, color=color_n2o)\n", + "sns.scatterplot(data=_data_exp, x='time', y='N2O', ax=ax, color=color_n2o)\n", + "\n", + "sns.lineplot(data=_data_pred, x='time', y='no', ax=ax, color=color_no)\n", + "sns.lineplot(data=_data_pred, x='time', y='n2', ax=ax, color=color_n2)\n", + "\n", + "plt.legend(handles=[\n", + " mpatches.Patch(color=color_acetate, label='Acetate'),\n", + " mpatches.Patch(color=color_no3, label='NO3'),\n", + " mpatches.Patch(color=color_no2, label='NO2'),\n", + " mpatches.Patch(color=color_no, label='NO'),\n", + " mpatches.Patch(color=color_n2o, label='N2O'),\n", + " mpatches.Patch(color=color_n2, label='N2'),\n", + " mpatches.Patch(label='Dot experimental values', facecolor=None, color='white'),\n", + " mpatches.Patch(edgecolor='sienna', label='Biomass', facecolor='white'),\n", + " ])\n", + "ax.set_title('Concentration')\n", + "ax.set_xlabel('Time')\n", + "ax.set_ylabel('mM')\n", + "ax2.set_ylabel('gDW')\n", + "sns.despine(fig, ax)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8ba96642-3532-46a3-b3f9-d3e3dd9c349a", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d5e20aa-5df0-4aae-933c-4bf353338a4f", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 139, + "id": "c5875ea6-6601-42b9-8d28-48c708e617b6", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[0.0,\n", + " 0.01533133,\n", + " 0.00761067,\n", + " 0.31666667,\n", + " 0.53458002,\n", + " 1.81498113,\n", + " 3.74049231,\n", + " 4.16233813,\n", + " 4.30058155,\n", + " 4.2472569,\n", + " 4.10212792]" + ] + }, + "execution_count": 139, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "_data_plot['N2O']" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "id": "ab92a35b-41c9-4cf7-8cdc-bc1c8a78c05d", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 142, + "id": "76cb7dd1-c859-4862-a24b-cf6654b13845", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "

Objective

1.0 ATPM_c0 = 0.023457961273254384

Uptake

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MetaboliteReactionFluxC-NumberC-Flux
cpd00009_e0EX_cpd00009_e01.546E-0600.00%
cpd00013_e0EX_cpd00013_e02.189E-0500.00%
cpd00029_e0EX_cpd00029_e00.0090822100.00%
cpd00048_e0EX_cpd00048_e05.83E-0700.00%
cpd00067_e0EX_cpd00067_e00.0235200.00%
cpd00209_e0EX_cpd00209_e00.0144600.00%

Secretion

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
MetaboliteReactionFluxC-NumberC-Flux
cpd00001_e0EX_cpd00001_e0-0.0253600.00%
cpd00011_e0EX_cpd00011_e0-0.018081100.00%
cpd00528_e0EX_cpd00528_e0-0.0072300.00%
cpd11416_c0SK_cpd11416_c0-2.891E-0600.00%
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timeAcetateOD600NO3NO2N2O
0018.0313600.0109309.1445050.0997790.000000
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611916.7230920.1718905.4506280.1391433.740492
714216.0084040.2235004.3744200.1269084.162338
816515.1397140.2891673.3230480.1247814.300582
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1033612.6173730.4116700.1104300.0933964.102128
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" + ], + "text/plain": [ + " time Acetate OD600 NO3 NO2 N2O\n", + "0 0 18.031360 0.010930 9.144505 0.099779 0.000000\n", + "1 23 17.790639 0.015870 8.967896 0.156697 0.015331\n", + "2 42 18.427579 0.020300 9.531939 0.079565 0.007611\n", + "3 71 18.258625 0.044930 8.649449 0.107758 0.316667\n", + "4 77 18.537473 0.062467 8.662695 0.094460 0.534580\n", + "5 95 17.321905 0.106167 7.075978 0.126908 1.814981\n", + "6 119 16.723092 0.171890 5.450628 0.139143 3.740492\n", + "7 142 16.008404 0.223500 4.374420 0.126908 4.162338\n", + "8 165 15.139714 0.289167 3.323048 0.124781 4.300582\n", + "9 216 14.235140 0.368300 1.845608 0.094460 4.247257\n", + "10 336 12.617373 0.411670 0.110430 0.093396 4.102128" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_growth_data_r12" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7604e3dd-b0cb-455b-a799-faceac9a268c", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "COBRA cplex", + "language": "python", + "name": "modelseed_cplex" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Metabolic_modeling/ms_ext_symcom.py b/Metabolic_modeling/ms_ext_symcom.py index bea3677..2cf527e 100755 --- a/Metabolic_modeling/ms_ext_symcom.py +++ b/Metabolic_modeling/ms_ext_symcom.py @@ -90,7 +90,19 @@ def _add_leucine_export(model): model.add_reactions([leuE_transporter]) print(f'[{model.id}] added LeuE') MSBuilder.add_exchanges_to_model(model) - + +def _fix_proton_mb(r, metabolite_proton): + mb = r.check_mass_balance() + print(r.id, 'mass balance', mb) + if 'charge' in mb and 'H' in mb: + v_charge = mb['charge'] + v_h = mb['H'] + if v_charge == v_h: + print(f'Fix Proton MassBalance [{v_charge}] [before] {r.id} {r.build_reaction_string(True)}') + r.add_metabolites({ + metabolite_proton: v_charge * -1 + }) + print(f'Fix Proton MassBalance [{v_charge}] [after ] {r.id} {r.build_reaction_string(True)}') def _setup_fix(model): delete = [ @@ -98,6 +110,7 @@ def _setup_fix(model): 'rxn08062_c0', # Acetate [e0] + Na+ [e0] --> Acetate [c0] + Na+ [c0] 'rxn05298_c0', # L-Glutamate [e0] + Na+ [e0] <=> L-Glutamate [c0] + Na+ [c0] 'rxn05313_c0', # Phosphate [e0] + 3 Na+ [e0] --> Phosphate [c0] + 3 Na+ [c0] + 'rxn00288_c0', # FAD [R] + Succinate [R] + H+ [R] --> Fumarate [R] + FADH2 [R] ] _to_delete = [] for i in delete: @@ -145,6 +158,20 @@ def build_isolates(self): model_rhoda.metabolites.cpd00067_c0: 2, model_rhoda.metabolites.cpd00067_e0: -2 }) + + r_metabolites = model_rhoda.reactions.rxn19704_c0.metabolites + if model_rhoda.metabolites.cpd28083_c0 in r_metabolites: + print('replace Flavodoxin with FAD/FADH2') + model_rhoda.reactions.rxn19704_c0.add_metabolites({ + # Reduced-flavodoxins > FADH2 + model_rhoda.metabolites.cpd28083_c0: r_metabolites[model_rhoda.metabolites.cpd28083_c0] * -1, + model_rhoda.metabolites.cpd00982_c0: r_metabolites[model_rhoda.metabolites.cpd28083_c0], + # Oxidized-flavodoxins > FAD + model_rhoda.metabolites.cpd27758_c0: r_metabolites[model_rhoda.metabolites.cpd27758_c0] * -1, + model_rhoda.metabolites.cpd00015_c0: r_metabolites[model_rhoda.metabolites.cpd27758_c0], + }) + _fix_proton_mb(model_rhoda.reactions.rxn19704_c0, model_rhoda.metabolites.cpd00067_c0) + print('R12', model_rhoda.reactions.dnr00001_c0.build_reaction_string(True)) print('3H11', model_acido.reactions.dnr00001_c0.build_reaction_string(True)) @@ -767,7 +794,7 @@ def build(self): return model -def _build(self): +def _build(self, with_gpr = False): model_comm = Comm('model') ex_ids = set() @@ -807,7 +834,8 @@ def _build(self): else: r_copy_id = r.id[:-1] + token r_copy = Reaction(r_copy_id, f'{r.name[:-4]}[{token}]', r.subsystem, r.lower_bound, r.upper_bound) - # r_copy.gene_reaction_rule = r.gene_reaction_rule + if with_gpr: + r_copy.gene_reaction_rule = r.gene_reaction_rule r_copy_m = {model_comm.metabolites.get_by_id(m_pointer[token][m.id].id): v for m, v in r.metabolites.items()} r_copy.add_metabolites(r_copy_m) r_mapper[r_copy.id] = r_copy From 061257f6726a1b8d5d201f7157b56ffcbc072b44 Mon Sep 17 00:00:00 2001 From: Filipe Liu Date: Fri, 13 Dec 2024 18:15:07 +0000 Subject: [PATCH 2/4] modelling ups --- Metabolic_modeling/analysis.py | 41 +- Metabolic_modeling/build_isolates.ipynb | 485 +- Metabolic_modeling/data/model_acido_gf2.json | 2026 +- Metabolic_modeling/data/model_acido_gf2.xml | 59120 +++++++++++++++++ Metabolic_modeling/data/model_rhoda_gf2.json | 1442 +- Metabolic_modeling/data/model_rhoda_gf2.xml | 54741 +++++++++++++++ Metabolic_modeling/exchanges.ipynb | 2548 + Metabolic_modeling/export/syncom_final.tsv | 143 + Metabolic_modeling/isolates.ipynb | 653 +- Metabolic_modeling/ms_ext_symcom.py | 2 + Metabolic_modeling/plots.py | 221 +- Metabolic_modeling/syncom_exp_fit.ipynb | 2589 + 12 files changed, 122036 insertions(+), 1975 deletions(-) create mode 100644 Metabolic_modeling/data/model_acido_gf2.xml create mode 100644 Metabolic_modeling/data/model_rhoda_gf2.xml create mode 100644 Metabolic_modeling/exchanges.ipynb create mode 100644 Metabolic_modeling/export/syncom_final.tsv create mode 100644 Metabolic_modeling/syncom_exp_fit.ipynb diff --git a/Metabolic_modeling/analysis.py b/Metabolic_modeling/analysis.py index efa01e6..33e1209 100755 --- a/Metabolic_modeling/analysis.py +++ b/Metabolic_modeling/analysis.py @@ -195,9 +195,12 @@ def _report(solutions_acido, solutions_rhoda, tests): df = df.set_index('cpd_id') return df -def model_comm_io(): - for m in model_comm.metabolites: - if m.compartment == 'e0': +def model_comm_io2(model_comm, solution_comm_wt): + for e in model_comm.exchanges: + v = solution_comm_wt.fluxes[e.id] + if v != 0: + m = list(e.metabolites)[0] + print(m.id, m.name, v) total = {} for rxn in m.reactions: rxn_s = rxn.metabolites[m] @@ -208,23 +211,19 @@ def model_comm_io(): total[cmps] = 0 total[cmps] += rxn_v * rxn_s total_v = 0 - print_total = False for cmps in total: cmp_str = ';'.join(cmps) + if not 'e0' == cmp_str: total_v += total[cmps] - if round(total[cmps], 9) != 0: - print_total = True - print(m.id, m.name, cmp_str, total[cmps]) - if print_total: - print('\t', f'total {m.name}', round(total_v, 10)) - #print('\t', rxn_v, rxn.build_reaction_string(), rxn.compartments) -def model_comm_io2(): - for e in model_comm.exchanges: - v = solution_comm_wt.fluxes[e.id] - if v != 0: - m = list(e.metabolites)[0] - print(m.id, m.name, v) + print('\t', cmp_str, total[cmps]) + print('\t', f'total {m.name}', total_v) + +def model_comm_io(model_comm, solution_comm_wt, exclude=None): + if exclude is None: + exclude = set() + for m in model_comm.metabolites: + if m.id not in exclude and m.compartment == 'e0': total = {} for rxn in m.reactions: rxn_s = rxn.metabolites[m] @@ -235,11 +234,13 @@ def model_comm_io2(): total[cmps] = 0 total[cmps] += rxn_v * rxn_s total_v = 0 + print_total = False for cmps in total: cmp_str = ';'.join(cmps) - if not 'e0' == cmp_str: total_v += total[cmps] - print('\t', cmp_str, total[cmps]) - print('\t', f'total {m.name}', total_v) - #print('\t', rxn_v, rxn.build_reaction_string(), rxn.compartments) \ No newline at end of file + if round(total[cmps], 9) != 0: + print_total = True + print(m.id, m.name, cmp_str, total[cmps]) + if print_total: + print('\t', f'total {m.name}', round(total_v, 10)) \ No newline at end of file diff --git a/Metabolic_modeling/build_isolates.ipynb b/Metabolic_modeling/build_isolates.ipynb index a6a771e..e18c2fa 100755 --- a/Metabolic_modeling/build_isolates.ipynb +++ b/Metabolic_modeling/build_isolates.ipynb @@ -7,21 +7,12 @@ "metadata": { "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "modelseedpy 0.3.3\n" - ] - } - ], + "outputs": [], "source": [ "import os\n", "import cobra\n", "if not 'HOME' in os.environ:\n", - " os.environ['HOME'] = '.' # set your HOME path if not found (windows OS)\n", - "%run ms_ext_symcom.py" + " os.environ['HOME'] = '.' # set your HOME path if not found (windows OS)" ] }, { @@ -58,11 +49,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "cobrakbase 0.3.1\n" + "modelseedpy 0.4.0\n", + "cobrakbase 0.4.0\n" ] } ], "source": [ + "%run ms_ext_symcom.py\n", "from cobrakbase.io.read_kbase_zip import load_kbase_zip_object\n", "template = load_kbase_zip_object('./data/GramNegModelTemplateV5_DNR_v2.JSON.zip')\n", "# 0.5 O2 [c] + 4 H+ [c] + 3 Cytochrome c2+ [c] --> H2O [c] + 2 H+ [e] + 3 Cytochrome c3+ [c]\n", @@ -73,9 +66,45 @@ "template.reactions.rxn00548_c.lower_bound = 0\n", "# NAD [c] + Glycerol-3-phosphate [c] <-- NADH [c] + H+ [c] + Glycerone-phosphate [c]\n", "template.reactions.rxn00611_c.upper_bound = 0\n", + "template.reactions.rxn14427_c.complexes.clear()\n", + "template.reactions.rxn11937_c.complexes.clear()\n", + "template.reactions.rxn08792_c.complexes.clear() # L-Lactate [c] + Ubiquinone-8 [c] --> Pyruvate [c] + Ubiquinol-8 [c]\n", + "template.reactions.rxn10126_c.complexes.clear()\n", + "template.reactions.rxn00083_c.bounds = (-1000, 1000)\n", + "template.reactions.dnr00003_c.add_metabolites({\n", + " template.compcompounds.cpd12711_c: -2,\n", + " template.compcompounds.cpd12712_c: 2,\n", + " \n", + " template.compcompounds.cpd00067_e: 2,\n", + " template.compcompounds.cpd15560_c: 1,\n", + " template.compcompounds.cpd15561_c: -1\n", + "})\n", "genome_rhoda = load_genome_from_annotation_file('./data/annotation_rhoda.tsv')\n", - "genome_acido = load_genome_from_annotation_file('./data/annotation_acido.tsv')\n", - "\n", + "genome_acido = load_genome_from_annotation_file('./data/annotation_acido.tsv')" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "f2c4ec01-fb57-4228-9f1e-6e620924700b", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "#template.reactions -= ['rxn08655_c']" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cedb7361-5b81-4da5-90bd-0d3280fd0345", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "%run ms_ext_symcom.py\n", "project = SynComStudy(template)\n", "project.genome_acido = genome_acido\n", "project.genome_rhoda = genome_rhoda" @@ -83,7 +112,78 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 39, + "id": "de23dafd-8821-4261-9dd1-96ee33cb391e", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:modelseedpy.core.msmodelutl:Expansion time:empty:0.05686588026583195\n", + "INFO:modelseedpy.core.msmodelutl:Filtered count:0 out of 0\n", + "INFO:modelseedpy.core.msmodelutl:Expansion time:nitrate:0.14985116943717003\n", + "INFO:modelseedpy.core.msmodelutl:Filtered count:0 out of 0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "R12 add rxn08333_c0: 1-4-Dihydroxy-2-naphthoate [c0] + Farnesylfarnesylgeraniol [c0] --> CO2 [c0] + PPi [c0] + 2-Demethylmenaquinol 8 [c0]\n", + "R12 add rxn02898_c0: Succinylbenzoyl-CoA [c0] --> CoA [c0] + 1-4-Dihydroxy-2-naphthoate [c0]\n", + "R12 add rxn09043_c0: 3 H2O [c0] + 2 ATP [c0] + NAD [c0] + 2-Octaprenyl-6-methoxyphenol [c0] --> NADH [c0] + 2 ADP [c0] + 2 Phosphate [c0] + 3 H+ [c0] + 2-Octaprenyl-6-methoxy-1,4-benzoquinol [c0]\n", + "R12 add rxn05514_c0: Ca2+ [c0] + H+ [e0] <-- Ca2+ [e0] + H+ [c0]\n", + "R12 add rxn09427_c0: 2 NADPH [c0] + 3 H+ [c0] + Malonyl-CoA [c0] + Palmitoyl-CoA [c0] --> H2O [c0] + 2 NADP [c0] + CoA [c0] + CO2 [c0] + strcoa [c0]\n", + "R12 add rxn05039_c0: H2O [c0] + 5-Amino-6--5-phosphoribitylaminouracil [c0] --> Phosphate [c0] + 4--1-D-Ribitylamino-5-aminouracil [c0]\n", + "R12 add rxn09180_c0: 3 Fumarate [c0] + ProtoporphyrinogenIX [c0] --> 3 Succinate [c0] + Protoporphyrin [c0]\n", + "R12 add rxn08706_c0: Hexadecenoyl-CoA [c0] --> H+ [c0] + (2E)-Hexadecenoyl-CoA [c0]\n", + "R12 add rxn03536_c0: ATP [c0] + Adenosyl cobinamide [c0] --> ADP [c0] + H+ [c0] + Adenosyl cobinamide phosphate [c0]\n", + "R12 add rxn05150_c0: H2O [c0] + ATP [c0] + Zn2+ [e0] --> ADP [c0] + Phosphate [c0] + Zn2+ [c0] + H+ [c0]\n", + "R12 add rxn00849_c0: 2-Oxoglutarate [c0] + D-Alanine [c0] --> Pyruvate [c0] + D-Glutamate [c0]\n", + "R12 add rxn10663_c0: 7 H2O [c0] + ATP [c0] + 7 NAD [c0] + 8 CoA [c0] + 6 FAD [c0] + hexadecenoate [c0] <-- 7 NADH [c0] + PPi [c0] + AMP [c0] + 8 Acetyl-CoA [c0] + 2 H+ [c0] + 6 FADH2 [c0]\n", + "R12 add rxn00979_c0: H2O [c0] + NAD [c0] + Glycolaldehyde [c0] --> NADH [c0] + 2 H+ [c0] + Glycolate [c0]\n", + "R12 add rxn11703_c0: 2-Succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate [c0] --> Pyruvate [c0] + SHCHC [c0]\n", + "R12 add rxn03537_c0: GTP [c0] + Adenosyl cobinamide phosphate [c0] --> PPi [c0] + H+ [c0] + Adenosylcobinamide-GDP [c0]\n", + "R12 add rxn00966_c0: Pyruvate [c0] + 4-Hydroxybenzoate [c0] <-- Chorismate [c0]\n", + "R12 add rxn05119_c0: NAD [c0] + L-Aspartate [c0] --> NADH [c0] + 2 H+ [c0] + Iminoaspartate [c0]\n", + "R12 add rxn10954_c0: 16 NADPH [c0] + 15 H+ [c0] + Acetoacetyl-ACP [c0] + 7 Malonyl-acyl-carrierprotein- [c0] --> 8 H2O [c0] + 16 NADP [c0] + 7 CO2 [c0] + 7 ACP [c0] + Octadecanoyl-ACP [c0]\n", + "R12 add rxn08349_c0: 3 H2O [c0] + 2 NAD [c0] + 2,3-diketo5-methylthio-1-phosphopentane [c0] --> 2 NADH [c0] + Phosphate [c0] + Formate [c0] + 4 H+ [c0] + 4-methylthio 2-oxobutyrate [c0]\n", + "R12 add rxn06023_c0: CoA [c0] + apo-ACP [c0] --> Adenosine 3-5-bisphosphate [c0] + ACP [c0]\n", + "R12 add rxn10094_c0: S-Adenosyl-L-methionine [c0] + 2-Demethylmenaquinone 8 [c0] --> S-Adenosyl-homocysteine [c0] + H+ [c0] + Menaquinone 8 [c0]\n", + "R12 add rxn09657_c0: H+ [e0] + Thiamin [e0] --> H+ [c0] + Thiamin [c0]\n", + "R12 add rxn09041_c0: 3 H2O [c0] + 2 ATP [c0] + NAD [c0] + 2-Octaprenyl3-methyl-6-methoxy- 1,4-benzoquinol [c0] --> NADH [c0] + 2 ADP [c0] + 2 Phosphate [c0] + 3 H+ [c0] + 2-Octaprenyl-3-methyl-5-hydroxy-6-methoxy-1,4-benzoquinol [c0]\n", + "R12 add rxn09045_c0: 3 H2O [c0] + 2 ATP [c0] + NAD [c0] + 2-Octaprenylphenol [c0] --> NADH [c0] + 2 ADP [c0] + 2 Phosphate [c0] + 3 H+ [c0] + 2-Octaprenyl-6-hydroxyphenol [c0]\n", + "R12 add rxn03150_c0: H2O [c0] + alpha-Ribazole 5'-phosphate [c0] --> Phosphate [c0] + alpha-Ribazole [c0]\n", + "R12 add rxn05108_c0: L-Glutamate [c0] + 4-methylthio 2-oxobutyrate [c0] --> 2-Oxoglutarate [c0] + L-Methionine [c0]\n", + "R12 add rxn03087_c0: 2-Oxoglutarate [c0] + N-Succinyl-L-2,6-diaminopimelate [c0] <-- L-Glutamate [c0] + N-Succinyl-L-2-amino-6-oxopimelate [c0]\n", + "R12 add rxn03538_c0: alpha-Ribazole [c0] + Adenosylcobinamide-GDP [c0] --> H+ [c0] + GMP [c0] + Calomide [c0]\n", + "R12 add rxn01213_c0: Isopentenyldiphosphate [c0] + DMAPP [c0] --> PPi [c0] + H+ [c0] + Geranyldiphosphate [c0]\n", + "R12 add rxn08491_c0: FADH2 [c0] + 2 fe3 [c0] <-- FAD [c0] + 3 H+ [c0] + 2 Fe2+ [c0]\n", + "R12 add rxn03393_c0: H+ [c0] + 3-Octaprenyl-4-hydroxybenzoate [c0] --> CO2 [c0] + 2-Octaprenylphenol [c0]\n", + "R12 add rxn00599_c0: Glycine [c0] + H+ [c0] + Succinyl-CoA [c0] --> CoA [c0] + CO2 [c0] + 5-Aminolevulinate [c0]\n", + "R12 add rxn11702_c0: 2-Oxoglutarate [c0] + H+ [c0] + Isochorismate [c0] --> CO2 [c0] + 2-Succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate [c0]\n", + "R12 add rxn02897_c0: Nicotinate ribonucleotide [c0] + Dimethylbenzimidazole [c0] --> H+ [c0] + Niacin [c0] + alpha-Ribazole 5'-phosphate [c0]\n", + "R12 add rxn02185_c0: TPP [c0] + ALCTT [c0] <-- Pyruvate [c0] + 2-Hydroxyethyl-ThPP [c0]\n", + "R12 add rxn08656_c0: Glycolate [c0] + Menaquinone 8 [c0] --> Glyoxalate [c0] + Menaquinol 8 [c0]\n", + "R12 add rxn05144_c0: L-Glutamine [c0] + Glyceraldehyde3-phosphate [c0] + D-Ribulose5-phosphate [c0] --> 3 H2O [c0] + Phosphate [c0] + Pyridoxal phosphate [c0] + L-Glutamate [c0] + H+ [c0]\n", + "R12 add rxn02831_c0: ATP [c0] + CoA [c0] + Succinylbenzoate [c0] --> PPi [c0] + AMP [c0] + H+ [c0] + Succinylbenzoyl-CoA [c0]\n", + "R12 add rxn01258_c0: Chorismate [c0] --> Isochorismate [c0]\n", + "R12 add rxn01538_c0: ATP [c0] + Thiamin [c0] --> ADP [c0] + H+ [c0] + Thiamine phosphate [c0]\n", + "R12 add rxn02832_c0: H2O [c0] + Succinylbenzoate [c0] <-- SHCHC [c0]\n", + "gapfill reactions 41 new exchanges 3\n" + ] + } + ], + "source": [ + "model_rhoda = project.build_isolate('R12', project.genome_rhoda)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, "id": "de9a84cb-666c-4af8-921d-259073873c4b", "metadata": { "tags": [] @@ -93,10 +193,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:modelseedpy.core.msatpcorrection:max_gapfilling: 10, best_score: 0.0\n", - "INFO:modelseedpy.core.msmodelutl:Expansion time:empty:0.03477632500107575\n", + "INFO:modelseedpy.core.msmodelutl:Expansion time:empty:0.034835243597626686\n", "INFO:modelseedpy.core.msmodelutl:Filtered count:0 out of 0\n", - "INFO:modelseedpy.core.msmodelutl:Expansion time:nitrate:0.03428320700004406\n", + "INFO:modelseedpy.core.msmodelutl:Expansion time:nitrate:0.03476783446967602\n", "INFO:modelseedpy.core.msmodelutl:Filtered count:0 out of 0\n" ] }, @@ -104,6 +203,39 @@ "name": "stdout", "output_type": "stream", "text": [ + "3H11 add rxn08333_c0: 1-4-Dihydroxy-2-naphthoate [c0] + Farnesylfarnesylgeraniol [c0] --> CO2 [c0] + PPi [c0] + 2-Demethylmenaquinol 8 [c0]\n", + "3H11 add rxn02898_c0: Succinylbenzoyl-CoA [c0] --> CoA [c0] + 1-4-Dihydroxy-2-naphthoate [c0]\n", + "3H11 add rxn09043_c0: 3 H2O [c0] + 2 ATP [c0] + NAD [c0] + 2-Octaprenyl-6-methoxyphenol [c0] --> NADH [c0] + 2 ADP [c0] + 2 Phosphate [c0] + 3 H+ [c0] + 2-Octaprenyl-6-methoxy-1,4-benzoquinol [c0]\n", + "3H11 add rxn05459_c0: CoA [c0] + H+ [c0] + Octodecanoyl-ACP [c0] --> strcoa [c0] + ACP [c0]\n", + "3H11 add rxn05481_c0: H+ [e0] + 5-Methylthio-D-ribose [e0] <-- H+ [c0] + 5-Methylthio-D-ribose [c0]\n", + "3H11 add rxn05514_c0: Ca2+ [c0] + H+ [e0] <-- Ca2+ [e0] + H+ [c0]\n", + "3H11 add rxn10213_c0: H+ [c0] + strcoa [c0] + 1-octadecanoyl-sn-glycerol 3-phosphate [c0] --> CoA [c0] + 1,2-dioctadecanoyl-sn-glycerol 3-phosphate [c0]\n", + "3H11 add rxn05039_c0: H2O [c0] + 5-Amino-6--5-phosphoribitylaminouracil [c0] --> Phosphate [c0] + 4--1-D-Ribitylamino-5-aminouracil [c0]\n", + "3H11 add rxn09180_c0: 3 Fumarate [c0] + ProtoporphyrinogenIX [c0] --> 3 Succinate [c0] + Protoporphyrin [c0]\n", + "3H11 add rxn10204_c0: Glycerol-3-phosphate [c0] + strcoa [c0] --> CoA [c0] + 1-octadecanoyl-sn-glycerol 3-phosphate [c0]\n", + "3H11 add rxn02774_c0: NAD [c0] + Precorrin 2 [c0] --> NADH [c0] + 2 H+ [c0] + Sirohydrochlorin [c0]\n", + "3H11 add rxn00979_c0: H2O [c0] + NAD [c0] + Glycolaldehyde [c0] --> NADH [c0] + 2 H+ [c0] + Glycolate [c0]\n", + "3H11 add rxn11703_c0: 2-Succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate [c0] --> Pyruvate [c0] + SHCHC [c0]\n", + "3H11 add rxn00966_c0: Pyruvate [c0] + 4-Hydroxybenzoate [c0] <-- Chorismate [c0]\n", + "3H11 add rxn05119_c0: NAD [c0] + L-Aspartate [c0] --> NADH [c0] + 2 H+ [c0] + Iminoaspartate [c0]\n", + "3H11 add rxn00137_c0: H2O [c0] + Adenosine 3-5-bisphosphate [c0] --> Phosphate [c0] + AMP [c0]\n", + "3H11 add rxn10094_c0: S-Adenosyl-L-methionine [c0] + 2-Demethylmenaquinone 8 [c0] --> S-Adenosyl-homocysteine [c0] + H+ [c0] + Menaquinone 8 [c0]\n", + "3H11 add rxn09041_c0: 3 H2O [c0] + 2 ATP [c0] + NAD [c0] + 2-Octaprenyl3-methyl-6-methoxy- 1,4-benzoquinol [c0] --> NADH [c0] + 2 ADP [c0] + 2 Phosphate [c0] + 3 H+ [c0] + 2-Octaprenyl-3-methyl-5-hydroxy-6-methoxy-1,4-benzoquinol [c0]\n", + "3H11 add rxn09045_c0: 3 H2O [c0] + 2 ATP [c0] + NAD [c0] + 2-Octaprenylphenol [c0] --> NADH [c0] + 2 ADP [c0] + 2 Phosphate [c0] + 3 H+ [c0] + 2-Octaprenyl-6-hydroxyphenol [c0]\n", + "3H11 add rxn00440_c0: ATP [c0] + Thiamin [c0] --> AMP [c0] + TPP [c0] + H+ [c0]\n", + "3H11 add rxn01213_c0: Isopentenyldiphosphate [c0] + DMAPP [c0] --> PPi [c0] + H+ [c0] + Geranyldiphosphate [c0]\n", + "3H11 add rxn05618_c0: Mn2+ [e0] + H+ [e0] --> Mn2+ [c0] + H+ [c0]\n", + "3H11 add rxn08491_c0: FADH2 [c0] + 2 fe3 [c0] <-- FAD [c0] + 3 H+ [c0] + 2 Fe2+ [c0]\n", + "3H11 add rxn00599_c0: Glycine [c0] + H+ [c0] + Succinyl-CoA [c0] --> CoA [c0] + CO2 [c0] + 5-Aminolevulinate [c0]\n", + "3H11 add rxn11702_c0: 2-Oxoglutarate [c0] + H+ [c0] + Isochorismate [c0] --> CO2 [c0] + 2-Succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate [c0]\n", + "3H11 add rxn02056_c0: 2 H+ [c0] + Siroheme [c0] <-- Sirohydrochlorin [c0] + Fe2+ [c0]\n", + "3H11 add rxn00134_c0: ATP [c0] + Adenosine [c0] --> ADP [c0] + AMP [c0] + H+ [c0]\n", + "3H11 add rxn02185_c0: TPP [c0] + ALCTT [c0] <-- Pyruvate [c0] + 2-Hydroxyethyl-ThPP [c0]\n", + "3H11 add rxn05144_c0: L-Glutamine [c0] + Glyceraldehyde3-phosphate [c0] + D-Ribulose5-phosphate [c0] --> 3 H2O [c0] + Phosphate [c0] + Pyridoxal phosphate [c0] + L-Glutamate [c0] + H+ [c0]\n", + "3H11 add rxn02831_c0: ATP [c0] + CoA [c0] + Succinylbenzoate [c0] --> PPi [c0] + AMP [c0] + H+ [c0] + Succinylbenzoyl-CoA [c0]\n", + "3H11 add rxn01258_c0: Chorismate [c0] --> Isochorismate [c0]\n", + "3H11 add rxn02832_c0: H2O [c0] + Succinylbenzoate [c0] <-- SHCHC [c0]\n", + "3H11 add rxn08233_c0: H+ [c0] + 2 Cl- [e0] --> H+ [e0] + 2 Cl- [c0]\n", "gapfill reactions 33 new exchanges 4\n" ] }, @@ -111,10 +243,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:modelseedpy.core.msatpcorrection:max_gapfilling: 10, best_score: 0.0\n", - "INFO:modelseedpy.core.msmodelutl:Expansion time:empty:0.033131992000562605\n", + "INFO:modelseedpy.core.msmodelutl:Expansion time:empty:0.03287428803741932\n", "INFO:modelseedpy.core.msmodelutl:Filtered count:0 out of 0\n", - "INFO:modelseedpy.core.msmodelutl:Expansion time:nitrate:0.0325888789993769\n", + "INFO:modelseedpy.core.msmodelutl:Expansion time:nitrate:0.0818194281309843\n", "INFO:modelseedpy.core.msmodelutl:Filtered count:0 out of 0\n" ] }, @@ -122,7 +253,48 @@ "name": "stdout", "output_type": "stream", "text": [ - "gapfill reactions 38 new exchanges 3\n", + "R12 add rxn08333_c0: 1-4-Dihydroxy-2-naphthoate [c0] + Farnesylfarnesylgeraniol [c0] --> CO2 [c0] + PPi [c0] + 2-Demethylmenaquinol 8 [c0]\n", + "R12 add rxn02898_c0: Succinylbenzoyl-CoA [c0] --> CoA [c0] + 1-4-Dihydroxy-2-naphthoate [c0]\n", + "R12 add rxn09043_c0: 3 H2O [c0] + 2 ATP [c0] + NAD [c0] + 2-Octaprenyl-6-methoxyphenol [c0] --> NADH [c0] + 2 ADP [c0] + 2 Phosphate [c0] + 3 H+ [c0] + 2-Octaprenyl-6-methoxy-1,4-benzoquinol [c0]\n", + "R12 add rxn05514_c0: Ca2+ [c0] + H+ [e0] <-- Ca2+ [e0] + H+ [c0]\n", + "R12 add rxn09427_c0: 2 NADPH [c0] + 3 H+ [c0] + Malonyl-CoA [c0] + Palmitoyl-CoA [c0] --> H2O [c0] + 2 NADP [c0] + CoA [c0] + CO2 [c0] + strcoa [c0]\n", + "R12 add rxn05039_c0: H2O [c0] + 5-Amino-6--5-phosphoribitylaminouracil [c0] --> Phosphate [c0] + 4--1-D-Ribitylamino-5-aminouracil [c0]\n", + "R12 add rxn09180_c0: 3 Fumarate [c0] + ProtoporphyrinogenIX [c0] --> 3 Succinate [c0] + Protoporphyrin [c0]\n", + "R12 add rxn08706_c0: Hexadecenoyl-CoA [c0] --> H+ [c0] + (2E)-Hexadecenoyl-CoA [c0]\n", + "R12 add rxn05150_c0: H2O [c0] + ATP [c0] + Zn2+ [e0] --> ADP [c0] + Phosphate [c0] + Zn2+ [c0] + H+ [c0]\n", + "R12 add rxn10663_c0: 7 H2O [c0] + ATP [c0] + 7 NAD [c0] + 8 CoA [c0] + 6 FAD [c0] + hexadecenoate [c0] <-- 7 NADH [c0] + PPi [c0] + AMP [c0] + 8 Acetyl-CoA [c0] + 2 H+ [c0] + 6 FADH2 [c0]\n", + "R12 add rxn00979_c0: H2O [c0] + NAD [c0] + Glycolaldehyde [c0] --> NADH [c0] + 2 H+ [c0] + Glycolate [c0]\n", + "R12 add rxn11703_c0: 2-Succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate [c0] --> Pyruvate [c0] + SHCHC [c0]\n", + "R12 add rxn03537_c0: GTP [c0] + Adenosyl cobinamide phosphate [c0] --> PPi [c0] + H+ [c0] + Adenosylcobinamide-GDP [c0]\n", + "R12 add rxn00966_c0: Pyruvate [c0] + 4-Hydroxybenzoate [c0] <-- Chorismate [c0]\n", + "R12 add rxn05119_c0: NAD [c0] + L-Aspartate [c0] --> NADH [c0] + 2 H+ [c0] + Iminoaspartate [c0]\n", + "R12 add rxn10954_c0: 16 NADPH [c0] + 15 H+ [c0] + Acetoacetyl-ACP [c0] + 7 Malonyl-acyl-carrierprotein- [c0] --> 8 H2O [c0] + 16 NADP [c0] + 7 CO2 [c0] + 7 ACP [c0] + Octadecanoyl-ACP [c0]\n", + "R12 add rxn08349_c0: 3 H2O [c0] + 2 NAD [c0] + 2,3-diketo5-methylthio-1-phosphopentane [c0] --> 2 NADH [c0] + Phosphate [c0] + Formate [c0] + 4 H+ [c0] + 4-methylthio 2-oxobutyrate [c0]\n", + "R12 add rxn04413_c0: GTP [c0] + Adenosyl cobinamide [c0] --> GDP [c0] + H+ [c0] + Adenosyl cobinamide phosphate [c0]\n", + "R12 add rxn06023_c0: CoA [c0] + apo-ACP [c0] --> Adenosine 3-5-bisphosphate [c0] + ACP [c0]\n", + "R12 add rxn10094_c0: S-Adenosyl-L-methionine [c0] + 2-Demethylmenaquinone 8 [c0] --> S-Adenosyl-homocysteine [c0] + H+ [c0] + Menaquinone 8 [c0]\n", + "R12 add rxn09657_c0: H+ [e0] + Thiamin [e0] --> H+ [c0] + Thiamin [c0]\n", + "R12 add rxn09041_c0: 3 H2O [c0] + 2 ATP [c0] + NAD [c0] + 2-Octaprenyl3-methyl-6-methoxy- 1,4-benzoquinol [c0] --> NADH [c0] + 2 ADP [c0] + 2 Phosphate [c0] + 3 H+ [c0] + 2-Octaprenyl-3-methyl-5-hydroxy-6-methoxy-1,4-benzoquinol [c0]\n", + "R12 add rxn09045_c0: 3 H2O [c0] + 2 ATP [c0] + NAD [c0] + 2-Octaprenylphenol [c0] --> NADH [c0] + 2 ADP [c0] + 2 Phosphate [c0] + 3 H+ [c0] + 2-Octaprenyl-6-hydroxyphenol [c0]\n", + "R12 add rxn00440_c0: ATP [c0] + Thiamin [c0] --> AMP [c0] + TPP [c0] + H+ [c0]\n", + "R12 add rxn03150_c0: H2O [c0] + alpha-Ribazole 5'-phosphate [c0] --> Phosphate [c0] + alpha-Ribazole [c0]\n", + "R12 add rxn05108_c0: L-Glutamate [c0] + 4-methylthio 2-oxobutyrate [c0] --> 2-Oxoglutarate [c0] + L-Methionine [c0]\n", + "R12 add rxn03087_c0: 2-Oxoglutarate [c0] + N-Succinyl-L-2,6-diaminopimelate [c0] <-- L-Glutamate [c0] + N-Succinyl-L-2-amino-6-oxopimelate [c0]\n", + "R12 add rxn03538_c0: alpha-Ribazole [c0] + Adenosylcobinamide-GDP [c0] --> H+ [c0] + GMP [c0] + Calomide [c0]\n", + "R12 add rxn01213_c0: Isopentenyldiphosphate [c0] + DMAPP [c0] --> PPi [c0] + H+ [c0] + Geranyldiphosphate [c0]\n", + "R12 add rxn08491_c0: FADH2 [c0] + 2 fe3 [c0] <-- FAD [c0] + 3 H+ [c0] + 2 Fe2+ [c0]\n", + "R12 add rxn08655_c0: Glycolate [c0] + Ubiquinone-8 [c0] --> Glyoxalate [c0] + Ubiquinol-8 [c0]\n", + "R12 add rxn03393_c0: H+ [c0] + 3-Octaprenyl-4-hydroxybenzoate [c0] --> CO2 [c0] + 2-Octaprenylphenol [c0]\n", + "R12 add rxn00599_c0: Glycine [c0] + H+ [c0] + Succinyl-CoA [c0] --> CoA [c0] + CO2 [c0] + 5-Aminolevulinate [c0]\n", + "R12 add rxn11702_c0: 2-Oxoglutarate [c0] + H+ [c0] + Isochorismate [c0] --> CO2 [c0] + 2-Succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate [c0]\n", + "R12 add rxn02897_c0: Nicotinate ribonucleotide [c0] + Dimethylbenzimidazole [c0] --> H+ [c0] + Niacin [c0] + alpha-Ribazole 5'-phosphate [c0]\n", + "R12 add rxn02185_c0: TPP [c0] + ALCTT [c0] <-- Pyruvate [c0] + 2-Hydroxyethyl-ThPP [c0]\n", + "R12 add rxn05144_c0: L-Glutamine [c0] + Glyceraldehyde3-phosphate [c0] + D-Ribulose5-phosphate [c0] --> 3 H2O [c0] + Phosphate [c0] + Pyridoxal phosphate [c0] + L-Glutamate [c0] + H+ [c0]\n", + "R12 add rxn02831_c0: ATP [c0] + CoA [c0] + Succinylbenzoate [c0] --> PPi [c0] + AMP [c0] + H+ [c0] + Succinylbenzoyl-CoA [c0]\n", + "R12 add rxn01258_c0: Chorismate [c0] --> Isochorismate [c0]\n", + "R12 add rxn02832_c0: H2O [c0] + Succinylbenzoate [c0] <-- SHCHC [c0]\n", + "R12 add rxn00193_c0: L-Glutamate [c0] --> D-Glutamate [c0]\n", + "gapfill reactions 41 new exchanges 3\n", "[R12] added L-Leucine [e0]\n", "[R12] added ABC Transporter (L-Leucine) [c0]\n", "[3H11] added LeuE\n", @@ -139,6 +311,64 @@ "model_acido, model_rhoda = project.build_isolates()" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "afbf45d8-d5d6-4e3a-b7b4-b6b10d3bbaec", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5a56643c-0ee9-49b2-8658-43bfe432c0bf", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cde97111-72eb-4a1f-9734-d324252affb5", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "91d8e981-bff2-4b63-ae45-f4394abfe4d1", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4836ce30-cd2d-440e-b3f4-063787a9d8c6", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "68aaad1f-b086-4cc7-8815-2ae519401a69", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "id": "e7959033-eb5d-40f2-8c90-8c873145e715", @@ -149,7 +379,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "ac3dd0af-21fa-46c9-aaa3-33004cae5ae2", "metadata": { "tags": [] @@ -177,7 +407,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "id": "2f089aba-d5d2-4517-9da7-05786f9347e5", "metadata": { "tags": [] @@ -186,7 +416,7 @@ { "data": { "text/html": [ - "

Objective

1.0 bio1 = 0.2334624820088367

Uptake

\n", + "

Objective

1.0 bio1 = 0.23863403973139627

Uptake

\n", " \n", " \n", " \n", @@ -200,84 +430,84 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -291,21 +521,21 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -324,21 +554,21 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -352,14 +582,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -367,10 +597,10 @@ "
Metabolite
cpd00009_e0EX_cpd00009_e00.15430.157700.00%
cpd00013_e0EX_cpd00013_e01.8681.9100.00%
cpd00029_e0EX_cpd00029_e010.8110.91299.98%
cpd00030_e0EX_cpd00030_e00.00037350.000381800.00%
cpd00034_e0EX_cpd00034_e00.00037350.000381800.00%
cpd00048_e0EX_cpd00048_e00.047820.0488800.00%
cpd00058_e0EX_cpd00058_e00.00037350.000381800.00%
cpd00063_e0EX_cpd00063_e00.00037350.000381800.00%
cpd00067_e0EX_cpd00067_e029.2619.3200.00%
cpd00099_e0EX_cpd00099_e00.00037350.000381800.00%
cpd00149_e0EX_cpd00149_e00.00037350.000381800.00%
cpd00205_e0EX_cpd00205_e00.00037350.000381800.00%
cpd00254_e0EX_cpd00254_e00.00037350.000381800.00%
cpd00305_e0EX_cpd00305_e00.00037350.0003818120.02%
cpd10515_e0EX_cpd10515_e00.0014940.00152700.00%
cpd00001_e0EX_cpd00001_e0-22.97-23.0900.00%
cpd00011_e0EX_cpd00011_e0-13.31-13.33199.92%99.91%
cpd00047_e0EX_cpd00047_e0-0.003735-0.00381810.03%
cpd03091_c0SK_cpd03091_c0-0.0007471-0.0007636100.06%
cpd11416_c0SK_cpd11416_c0-0.2335-0.238600.00%
" ], "text/plain": [ - "" + "" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -391,7 +621,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "id": "2db9d08f-0538-40ff-8bbc-9461a31e790c", "metadata": { "tags": [] @@ -400,7 +630,7 @@ { "data": { "text/html": [ - "

Objective

1.0 bio1 = 0.24603781972124694

Uptake

\n", + "

Objective

1.0 bio1 = 0.25153136697679807

Uptake

\n", " \n", " \n", " \n", @@ -414,56 +644,56 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -477,14 +707,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -498,21 +728,21 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -531,35 +761,35 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -573,14 +803,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -588,10 +818,10 @@ "
Metabolite
cpd00009_e0EX_cpd00009_e00.16260.166300.00%
cpd00030_e0EX_cpd00030_e00.00039370.000402500.00%
cpd00034_e0EX_cpd00034_e00.00039370.000402500.00%
cpd00048_e0EX_cpd00048_e00.05040.0515200.00%
cpd00058_e0EX_cpd00058_e00.00039370.000402500.00%
cpd00063_e0EX_cpd00063_e00.00039370.000402500.00%
cpd00067_e0EX_cpd00067_e018.428.4900.00%
cpd00099_e0EX_cpd00099_e00.00039370.000402500.00%
cpd00149_e0EX_cpd00149_e00.00039370.000402500.00%
cpd00205_e0EX_cpd00205_e00.00039370.000402500.00%
cpd00254_e0EX_cpd00254_e00.00039370.000402500.00%
cpd00305_e0EX_cpd00305_e00.00039370.0004025120.02%
cpd10515_e0EX_cpd10515_e00.0015750.0016100.00%
cpd00001_e0EX_cpd00001_e0-13.26-13.3900.00%
cpd00011_e0EX_cpd00011_e0-7.355-7.374148.18%48.93%
cpd00013_e0EX_cpd00013_e0-2.031-1.98700.00%
cpd00029_e0EX_cpd00029_e0-3.949-3.842251.74%50.99%
cpd00047_e0EX_cpd00047_e0-0.003937-0.00402510.03%
cpd03091_c0SK_cpd03091_c0-0.0007873-0.0008049100.05%
cpd11416_c0SK_cpd11416_c0-0.246-0.251500.00%
" ], "text/plain": [ - "" + "" ] }, - "execution_count": 7, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -612,7 +842,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "id": "c828f56b-94c7-4ff3-8026-bcdcc8917c7b", "metadata": { "tags": [] @@ -621,7 +851,7 @@ { "data": { "text/html": [ - "

Objective

1.0 bio1 = 0.17413979063599408

Uptake

\n", + "

Objective

1.0 bio1 = 0.17413979063599244

Uptake

\n", " \n", " \n", " \n", @@ -795,10 +1025,10 @@ "
Metabolite
" ], "text/plain": [ - "" + "" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -819,7 +1049,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 10, "id": "1329bc14-69a9-4607-9824-1a18fb9ccf45", "metadata": { "tags": [] @@ -832,7 +1062,20 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 17, + "id": "80886a1f-3a28-4632-905f-3a868f69003e", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "cobra.io.write_sbml_model(model_acido, './data/model_acido_gf2.xml')\n", + "cobra.io.write_sbml_model(model_rhoda, './data/model_rhoda_gf2.xml')" + ] + }, + { + "cell_type": "code", + "execution_count": 11, "id": "46bf12c8-56b8-4121-bba3-afb36992c4ec", "metadata": {}, "outputs": [ @@ -846,13 +1089,13 @@ " model\n", " \n", " Memory address\n", - " 7fc4410b1c00\n", + " 7fcf11c3aef0\n", " \n", " Number of metabolites\n", " 2401\n", " \n", " Number of reactions\n", - " 2596\n", + " 2592\n", " \n", " Number of genes\n", " 0\n", @@ -869,10 +1112,10 @@ " " ], "text/plain": [ - "" + "" ] }, - "execution_count": 9, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -895,7 +1138,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 12, "id": "5c5001e3-9263-41ac-87ea-1e22a2d44692", "metadata": { "tags": [] @@ -940,7 +1183,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 13, "id": "4736e5dd-b5a9-4202-8464-3a071f0b973f", "metadata": { "tags": [] @@ -953,24 +1196,16 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 14, "id": "865a1fae-a36c-4d1c-a06c-1959c0db9caa", "metadata": { "tags": [] }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/opt/env/python3_10_modelseed/lib/python3.10/site-packages/optlang/gurobi_interface.py:728: DeprecationWarning: Deprecated, pass a TempConstr or use Model.addLConstr\n", - " self.problem.addConstr(lhs, sense, rhs, name=constraint.name)\n" - ] - }, { "data": { "text/html": [ - "

Objective

1.0 bio1 = 0.2601019754470675

Uptake

\n", + "

Objective

1.0 bio1 = 0.26335194453162825

Uptake

\n", " \n", " \n", " \n", @@ -984,84 +1219,84 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1075,21 +1310,21 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1108,14 +1343,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1129,21 +1364,21 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1151,10 +1386,10 @@ "
Metabolite
cpd00009_e0EX_cpd00009_e00.17190.174100.00%
cpd00013_e0EX_cpd00013_e02.0812.10700.00%
cpd00029_e0EX_cpd00029_e012.5712.64299.98%
cpd00030_e0EX_cpd00030_e00.00041620.000421400.00%
cpd00034_e0EX_cpd00034_e00.00041620.000421400.00%
cpd00048_e0EX_cpd00048_e00.053450.0541100.00%
cpd00058_e0EX_cpd00058_e00.00041620.000421400.00%
cpd00063_e0EX_cpd00063_e00.00041620.000421400.00%
cpd00067_e0EX_cpd00067_e022.8622.900.00%
cpd00099_e0EX_cpd00099_e00.00041620.000421400.00%
cpd00149_e0EX_cpd00149_e00.00041620.000421400.00%
cpd00205_e0EX_cpd00205_e00.00041620.000421400.00%
cpd00254_e0EX_cpd00254_e00.00041620.000421400.00%
cpd00305_e0EX_cpd00305_e00.00041620.0004214120.02%
cpd10515_e0EX_cpd10515_e00.0016650.00168500.00%
cpd00001_e0EX_cpd00001_e0-27.1-27.1700.00%
cpd00011_e0EX_cpd00011_e0-15.91-15.92199.94%
cpd01981_e0EX_cpd01981_e0-0.0001665-0.000168560.01%
cpd03091_cASK_cpd03091_cA-0.0003329-0.0003371100.02%
cpd03091_cRSK_cpd03091_cR-0.0004994-0.0005056100.03%
" ], "text/plain": [ - "" + "" ] }, - "execution_count": 8, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1177,27 +1412,19 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 15, "id": "4aae9b8e-449d-4b4a-97ef-ab40d40be70d", "metadata": { "tags": [] }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/opt/env/python3_10_modelseed/lib/python3.10/site-packages/optlang/gurobi_interface.py:728: DeprecationWarning: Deprecated, pass a TempConstr or use Model.addLConstr\n", - " self.problem.addConstr(lhs, sense, rhs, name=constraint.name)\n" - ] - }, { "data": { "text/plain": [ - "(0.0, 25.687500000000014)" + "(0.0, 25.6875)" ] }, - "execution_count": 9, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } diff --git a/Metabolic_modeling/data/model_acido_gf2.json b/Metabolic_modeling/data/model_acido_gf2.json index 754ea44..f5e25f2 100644 --- a/Metabolic_modeling/data/model_acido_gf2.json +++ b/Metabolic_modeling/data/model_acido_gf2.json @@ -1341,46 +1341,6 @@ } }, { -"id":"cpd00982_c0", -"name":"FADH2 [c0]", -"compartment":"c0", -"charge":-2, -"formula":"C27H33N9O15P2", -"notes":{ -"modelseed_template_id":"cpd00982_c" -} -}, -{ -"id":"cpd15560_c0", -"name":"Ubiquinone-8 [c0]", -"compartment":"c0", -"charge":0, -"formula":"C49H74O4", -"notes":{ -"modelseed_template_id":"cpd15560_c" -} -}, -{ -"id":"cpd00015_c0", -"name":"FAD [c0]", -"compartment":"c0", -"charge":-3, -"formula":"C27H30N9O15P2", -"notes":{ -"modelseed_template_id":"cpd00015_c" -} -}, -{ -"id":"cpd15561_c0", -"name":"Ubiquinol-8 [c0]", -"compartment":"c0", -"charge":0, -"formula":"C49H76O4", -"notes":{ -"modelseed_template_id":"cpd15561_c" -} -}, -{ "id":"cpd00071_c0", "name":"Acetaldehyde [c0]", "compartment":"c0", @@ -1611,6 +1571,16 @@ } }, { +"id":"cpd15560_c0", +"name":"Ubiquinone-8 [c0]", +"compartment":"c0", +"charge":0, +"formula":"C49H74O4", +"notes":{ +"modelseed_template_id":"cpd15560_c" +} +}, +{ "id":"cpd00095_c0", "name":"Glycerone-phosphate [c0]", "compartment":"c0", @@ -1621,6 +1591,16 @@ } }, { +"id":"cpd15561_c0", +"name":"Ubiquinol-8 [c0]", +"compartment":"c0", +"charge":0, +"formula":"C49H76O4", +"notes":{ +"modelseed_template_id":"cpd15561_c" +} +}, +{ "id":"cpd15298_c0", "name":"tetradecenoate [c0]", "compartment":"c0", @@ -2581,6 +2561,16 @@ } }, { +"id":"cpd00015_c0", +"name":"FAD [c0]", +"compartment":"c0", +"charge":-3, +"formula":"C27H30N9O15P2", +"notes":{ +"modelseed_template_id":"cpd00015_c" +} +}, +{ "id":"cpd00760_c0", "name":"2-Methylbutyryl-CoA [c0]", "compartment":"c0", @@ -2591,6 +2581,16 @@ } }, { +"id":"cpd00982_c0", +"name":"FADH2 [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C27H33N9O15P2", +"notes":{ +"modelseed_template_id":"cpd00982_c" +} +}, +{ "id":"cpd02125_c0", "name":"Tiglyl-CoA [c0]", "compartment":"c0", @@ -4241,16 +4241,6 @@ } }, { -"id":"cpd00159_c0", -"name":"L-Lactate [c0]", -"compartment":"c0", -"charge":-1, -"formula":"C3H5O3", -"notes":{ -"modelseed_template_id":"cpd00159_c" -} -}, -{ "id":"cpd01669_c0", "name":"Estrone 3-sulfate [c0]", "compartment":"c0", @@ -4991,6 +4981,16 @@ } }, { +"id":"cpd00159_c0", +"name":"L-Lactate [c0]", +"compartment":"c0", +"charge":-1, +"formula":"C3H5O3", +"notes":{ +"modelseed_template_id":"cpd00159_c" +} +}, +{ "id":"cpd15342_c0", "name":"2-Acyl-sn-glycero-3-phosphoethanolamine octadec-11-enoyl [c0]", "compartment":"c0", @@ -10861,16 +10861,6 @@ } }, { -"id":"cpd00528_e0", -"name":"N2 [e0]", -"compartment":"e0", -"charge":0, -"formula":"N2", -"notes":{ -"modelseed_template_id":"cpd00528_e" -} -}, -{ "id":"cpd15695_c0", "name":"Diisoheptadecanoylphosphatidylethanolamine [c0]", "compartment":"c0", @@ -12321,6 +12311,16 @@ } }, { +"id":"cpd00528_e0", +"name":"N2 [e0]", +"compartment":"e0", +"charge":0, +"formula":"N2", +"notes":{ +"modelseed_template_id":"cpd00528_e" +} +}, +{ "id":"cpd12712_c0", "name":"Reduced azurin [c0]", "compartment":"c0", @@ -12787,7 +12787,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1642 or GW101-3H11_contig_1_4914", +"gene_reaction_rule":"GW101-3H11_contig_1_4914 or GW101-3H11_contig_1_1642", "notes":{ "modelseed_complex":"cpx01222" }, @@ -12828,7 +12828,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1344 or (GW101-3H11_contig_1_989 or GW101-3H11_contig_1_4102 or GW101-3H11_contig_1_1518 or GW101-3H11_contig_1_4776 or GW101-3H11_contig_1_3888 or GW101-3H11_contig_1_2727) or GW101-3H11_contig_1_4579", +"gene_reaction_rule":"GW101-3H11_contig_1_1344 or (GW101-3H11_contig_1_1518 or GW101-3H11_contig_1_989 or GW101-3H11_contig_1_2727 or GW101-3H11_contig_1_4776 or GW101-3H11_contig_1_3888 or GW101-3H11_contig_1_4102) or GW101-3H11_contig_1_4579", "notes":{ "modelseed_complex":"cpx00333;cpx00335;tcpx00648" }, @@ -12890,7 +12890,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_3348 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_4642", +"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_4642 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3348", "notes":{ "modelseed_complex":"cpx00498" }, @@ -12974,7 +12974,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_518 or GW101-3H11_contig_1_1675 or GW101-3H11_contig_1_519 or GW101-3H11_contig_1_4699", +"gene_reaction_rule":"GW101-3H11_contig_1_519 or GW101-3H11_contig_1_4699 or GW101-3H11_contig_1_518 or GW101-3H11_contig_1_1675", "notes":{ "modelseed_complex":"cpx01645;tcpx00608;tcpx00611;tcpx00612" }, @@ -13072,7 +13072,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_836 or (GW101-3H11_contig_1_854 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_2048 or GW101-3H11_contig_1_4218)", +"gene_reaction_rule":"GW101-3H11_contig_1_836 or (GW101-3H11_contig_1_2048 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_854 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_4218)", "notes":{ "modelseed_complex":"cpx01599;tcpx00306" }, @@ -13239,7 +13239,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_130 or GW101-3H11_contig_1_2422", +"gene_reaction_rule":"GW101-3H11_contig_1_2422 or GW101-3H11_contig_1_130", "notes":{ "modelseed_complex":"cpx00073" }, @@ -13260,7 +13260,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3018 or GW101-3H11_contig_1_189", +"gene_reaction_rule":"GW101-3H11_contig_1_189 or GW101-3H11_contig_1_3018", "notes":{ "modelseed_complex":"cpx00192" }, @@ -13301,7 +13301,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -13473,7 +13473,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_4862 or GW101-3H11_contig_1_3849 or GW101-3H11_contig_1_3632 or GW101-3H11_contig_1_3519 or GW101-3H11_contig_1_2893 or GW101-3H11_contig_1_1842 or GW101-3H11_contig_1_2471 or GW101-3H11_contig_1_2005 or GW101-3H11_contig_1_4077 or GW101-3H11_contig_1_1705) or (GW101-3H11_contig_1_1100 or GW101-3H11_contig_1_2867)", +"gene_reaction_rule":"(GW101-3H11_contig_1_1100 or GW101-3H11_contig_1_2867) or (GW101-3H11_contig_1_3632 or GW101-3H11_contig_1_4862 or GW101-3H11_contig_1_3849 or GW101-3H11_contig_1_2005 or GW101-3H11_contig_1_1705 or GW101-3H11_contig_1_4077 or GW101-3H11_contig_1_2893 or GW101-3H11_contig_1_1842 or GW101-3H11_contig_1_3519 or GW101-3H11_contig_1_2471)", "notes":{ "modelseed_complex":"cpx01409;tcpx01368" }, @@ -13493,7 +13493,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970 or GW101-3H11_contig_1_4198) or GW101-3H11_contig_1_3089 or GW101-3H11_contig_1_1806", +"gene_reaction_rule":"(GW101-3H11_contig_1_4198 or GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970) or GW101-3H11_contig_1_1806 or GW101-3H11_contig_1_3089", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -13515,7 +13515,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3644 or GW101-3H11_contig_1_2735", +"gene_reaction_rule":"GW101-3H11_contig_1_2735 or GW101-3H11_contig_1_3644", "notes":{ "modelseed_complex":"cpx01308" }, @@ -13538,7 +13538,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4136 or GW101-3H11_contig_1_294", +"gene_reaction_rule":"GW101-3H11_contig_1_294 or GW101-3H11_contig_1_4136", "notes":{ "modelseed_complex":"cpx52638" }, @@ -13558,7 +13558,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1344 or (GW101-3H11_contig_1_989 or GW101-3H11_contig_1_4102 or GW101-3H11_contig_1_1518 or GW101-3H11_contig_1_4776 or GW101-3H11_contig_1_3888 or GW101-3H11_contig_1_2727) or GW101-3H11_contig_1_4579", +"gene_reaction_rule":"GW101-3H11_contig_1_1344 or (GW101-3H11_contig_1_1518 or GW101-3H11_contig_1_989 or GW101-3H11_contig_1_2727 or GW101-3H11_contig_1_4776 or GW101-3H11_contig_1_3888 or GW101-3H11_contig_1_4102) or GW101-3H11_contig_1_4579", "notes":{ "modelseed_complex":"cpx00333;cpx00335;tcpx00648" }, @@ -13600,7 +13600,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -13668,7 +13668,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2778 or GW101-3H11_contig_1_616 or GW101-3H11_contig_1_638 or GW101-3H11_contig_1_82 or GW101-3H11_contig_1_2761", +"gene_reaction_rule":"GW101-3H11_contig_1_2778 or GW101-3H11_contig_1_638 or GW101-3H11_contig_1_616 or GW101-3H11_contig_1_82 or GW101-3H11_contig_1_2761", "notes":{ "modelseed_complex":"cpx01488" }, @@ -13840,27 +13840,6 @@ } }, { -"id":"rxn10126_c0", -"name":"succinate dehyrdogenase [c0]", -"metabolites":{ -"cpd00015_c0":1, -"cpd00067_c0":1, -"cpd00982_c0":-1, -"cpd15560_c0":-1, -"cpd15561_c0":1 -}, -"lower_bound":0, -"upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1747 and GW101-3H11_contig_1_1748", -"notes":{ -"modelseed_complex":"tcpx00088" -}, -"annotation":{ -"sbo":"SBO:0000176", -"seed.reaction":"rxn10126" -} -}, -{ "id":"rxn00544_c0", "name":"R00755 [c0]", "metabolites":{ @@ -13891,7 +13870,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4191 or GW101-3H11_contig_1_4120", +"gene_reaction_rule":"GW101-3H11_contig_1_4120 or GW101-3H11_contig_1_4191", "notes":{ "modelseed_complex":"tcpx00177" }, @@ -13912,7 +13891,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4192 or GW101-3H11_contig_1_3120", +"gene_reaction_rule":"GW101-3H11_contig_1_3120 or GW101-3H11_contig_1_4192", "notes":{ "modelseed_complex":"cpx00209" }, @@ -13931,7 +13910,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3301 or GW101-3H11_contig_1_3302", +"gene_reaction_rule":"GW101-3H11_contig_1_3302 or GW101-3H11_contig_1_3301", "notes":{ "modelseed_complex":"cpx00562" }, @@ -13971,7 +13950,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -14053,7 +14032,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1318 or GW101-3H11_contig_1_2364", +"gene_reaction_rule":"GW101-3H11_contig_1_2364 or GW101-3H11_contig_1_1318", "notes":{ "modelseed_complex":"cpx00487" }, @@ -14216,7 +14195,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_2371 or GW101-3H11_contig_1_4641) and (GW101-3H11_contig_1_2371 or GW101-3H11_contig_1_4641)", +"gene_reaction_rule":"(GW101-3H11_contig_1_4641 or GW101-3H11_contig_1_2371) and (GW101-3H11_contig_1_4641 or GW101-3H11_contig_1_2371)", "notes":{ "modelseed_complex":"cpx00311" }, @@ -14235,7 +14214,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_214 or GW101-3H11_contig_1_958 or (GW101-3H11_contig_1_3326 and GW101-3H11_contig_1_3326) or (GW101-3H11_contig_1_3931 or GW101-3H11_contig_1_4396)", +"gene_reaction_rule":"GW101-3H11_contig_1_214 or GW101-3H11_contig_1_958 or (GW101-3H11_contig_1_3326 and GW101-3H11_contig_1_3326) or (GW101-3H11_contig_1_4396 or GW101-3H11_contig_1_3931)", "notes":{ "modelseed_complex":"cpx00321;cpx00322;cpx01545;tcpx01318" }, @@ -14256,7 +14235,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3018 or GW101-3H11_contig_1_189", +"gene_reaction_rule":"GW101-3H11_contig_1_189 or GW101-3H11_contig_1_3018", "notes":{ "modelseed_complex":"cpx00192" }, @@ -14352,7 +14331,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_4635 or GW101-3H11_contig_1_415) or GW101-3H11_contig_1_3016", +"gene_reaction_rule":"GW101-3H11_contig_1_3016 or (GW101-3H11_contig_1_4635 or GW101-3H11_contig_1_415)", "notes":{ "modelseed_complex":"cpx52446;cpx52559" }, @@ -14493,7 +14472,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -14512,7 +14491,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"GW101-3H11_contig_1_3646 or GW101-3H11_contig_1_337", +"gene_reaction_rule":"GW101-3H11_contig_1_337 or GW101-3H11_contig_1_3646", "notes":{ "modelseed_complex":"tcpx00395" }, @@ -14595,7 +14574,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1318 or GW101-3H11_contig_1_2364", +"gene_reaction_rule":"GW101-3H11_contig_1_2364 or GW101-3H11_contig_1_1318", "notes":{ "modelseed_complex":"cpx00487" }, @@ -14718,7 +14697,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -14825,7 +14804,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -14866,7 +14845,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4192 or GW101-3H11_contig_1_3120", +"gene_reaction_rule":"GW101-3H11_contig_1_3120 or GW101-3H11_contig_1_4192", "notes":{ "modelseed_complex":"cpx00209" }, @@ -14930,7 +14909,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -14992,7 +14971,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3740 or GW101-3H11_contig_1_4247) or GW101-3H11_contig_1_777", +"gene_reaction_rule":"GW101-3H11_contig_1_777 or (GW101-3H11_contig_1_4247 or GW101-3H11_contig_1_3740)", "notes":{ "modelseed_complex":"cpx00289;tcpx00137" }, @@ -15031,7 +15010,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"(GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_855 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276) or GW101-3H11_contig_1_838", +"gene_reaction_rule":"GW101-3H11_contig_1_838 or (GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276 or GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_855)", "notes":{ "modelseed_complex":"cpx00454;tcpx00072" }, @@ -15050,7 +15029,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -15073,7 +15052,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2778 or GW101-3H11_contig_1_616 or GW101-3H11_contig_1_638 or GW101-3H11_contig_1_82 or GW101-3H11_contig_1_2761", +"gene_reaction_rule":"GW101-3H11_contig_1_2778 or GW101-3H11_contig_1_638 or GW101-3H11_contig_1_616 or GW101-3H11_contig_1_82 or GW101-3H11_contig_1_2761", "notes":{ "modelseed_complex":"cpx01488" }, @@ -15205,7 +15184,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3018 or GW101-3H11_contig_1_189", +"gene_reaction_rule":"GW101-3H11_contig_1_189 or GW101-3H11_contig_1_3018", "notes":{ "modelseed_complex":"cpx00192" }, @@ -15248,7 +15227,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3741 or GW101-3H11_contig_1_4456", +"gene_reaction_rule":"GW101-3H11_contig_1_4456 or GW101-3H11_contig_1_3741", "notes":{ "modelseed_complex":"cpx52483;tcpx00355" }, @@ -15269,7 +15248,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3018 or GW101-3H11_contig_1_189", +"gene_reaction_rule":"GW101-3H11_contig_1_189 or GW101-3H11_contig_1_3018", "notes":{ "modelseed_complex":"cpx00192" }, @@ -15335,7 +15314,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"GW101-3H11_contig_1_61 or GW101-3H11_contig_1_3017", +"gene_reaction_rule":"GW101-3H11_contig_1_3017 or GW101-3H11_contig_1_61", "notes":{ "modelseed_complex":"cpx00182" }, @@ -15401,7 +15380,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1533 or GW101-3H11_contig_1_894", +"gene_reaction_rule":"GW101-3H11_contig_1_894 or GW101-3H11_contig_1_1533", "notes":{ "modelseed_complex":"cpx00259;cpx00260" }, @@ -15442,7 +15421,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970 or GW101-3H11_contig_1_4198) or GW101-3H11_contig_1_3089 or GW101-3H11_contig_1_1806", +"gene_reaction_rule":"(GW101-3H11_contig_1_4198 or GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970) or GW101-3H11_contig_1_1806 or GW101-3H11_contig_1_3089", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -15484,7 +15463,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4888 or GW101-3H11_contig_1_2968", +"gene_reaction_rule":"GW101-3H11_contig_1_2968 or GW101-3H11_contig_1_4888", "notes":{ "modelseed_complex":"cpx00436;cpx01592" }, @@ -15505,7 +15484,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_585 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_850) or GW101-3H11_contig_1_4314 or (GW101-3H11_contig_1_3873 or GW101-3H11_contig_1_2073)", +"gene_reaction_rule":"(GW101-3H11_contig_1_585 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_850) or GW101-3H11_contig_1_4314 or (GW101-3H11_contig_1_3873 or GW101-3H11_contig_1_2073)", "notes":{ "modelseed_complex":"tcpx00049;tcpx00054;tcpx00282" }, @@ -15583,7 +15562,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -15605,7 +15584,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"(GW101-3H11_contig_1_1671 or GW101-3H11_contig_1_2163) and (GW101-3H11_contig_1_2162 or GW101-3H11_contig_1_1673)", +"gene_reaction_rule":"(GW101-3H11_contig_1_2163 or GW101-3H11_contig_1_1671) and (GW101-3H11_contig_1_2162 or GW101-3H11_contig_1_1673)", "notes":{ "modelseed_complex":"tcpx00199" }, @@ -15751,7 +15730,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3740 or GW101-3H11_contig_1_4247) or GW101-3H11_contig_1_777", +"gene_reaction_rule":"GW101-3H11_contig_1_777 or (GW101-3H11_contig_1_4247 or GW101-3H11_contig_1_3740)", "notes":{ "modelseed_complex":"cpx00289;tcpx00137" }, @@ -15815,7 +15794,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -15976,7 +15955,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -16291,7 +16270,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_836 or (GW101-3H11_contig_1_854 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_2048 or GW101-3H11_contig_1_4218) or (GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2981 or GW101-3H11_contig_1_2071)", +"gene_reaction_rule":"GW101-3H11_contig_1_836 or (GW101-3H11_contig_1_2048 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_854 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_4218) or (GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2071 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_2981)", "notes":{ "modelseed_complex":"cpx00206;cpx01599;tcpx00306" }, @@ -16393,7 +16372,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3175 or GW101-3H11_contig_1_3465 or GW101-3H11_contig_1_558", +"gene_reaction_rule":"GW101-3H11_contig_1_3465 or GW101-3H11_contig_1_3175 or GW101-3H11_contig_1_558", "notes":{ "modelseed_complex":"tcpx01346" }, @@ -16437,7 +16416,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2778 or GW101-3H11_contig_1_616 or GW101-3H11_contig_1_638 or GW101-3H11_contig_1_82 or GW101-3H11_contig_1_3290 or GW101-3H11_contig_1_2761", +"gene_reaction_rule":"GW101-3H11_contig_1_2778 or GW101-3H11_contig_1_638 or GW101-3H11_contig_1_616 or GW101-3H11_contig_1_3290 or GW101-3H11_contig_1_82 or GW101-3H11_contig_1_2761", "notes":{ "modelseed_complex":"tcpx00605" }, @@ -16458,7 +16437,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_158 or GW101-3H11_contig_1_3263", +"gene_reaction_rule":"GW101-3H11_contig_1_3263 or GW101-3H11_contig_1_158", "notes":{ "modelseed_complex":"cpx00910;cpx52754" }, @@ -16560,7 +16539,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -16581,7 +16560,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3018 or GW101-3H11_contig_1_189", +"gene_reaction_rule":"GW101-3H11_contig_1_189 or GW101-3H11_contig_1_3018", "notes":{ "modelseed_complex":"cpx00192" }, @@ -16602,7 +16581,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_585 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_850) or GW101-3H11_contig_1_4314 or (GW101-3H11_contig_1_3873 or GW101-3H11_contig_1_2073)", +"gene_reaction_rule":"(GW101-3H11_contig_1_585 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_850) or GW101-3H11_contig_1_4314 or (GW101-3H11_contig_1_3873 or GW101-3H11_contig_1_2073)", "notes":{ "modelseed_complex":"tcpx00049;tcpx00054;tcpx00282" }, @@ -16622,7 +16601,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970 or GW101-3H11_contig_1_4198) or GW101-3H11_contig_1_3089 or GW101-3H11_contig_1_1806", +"gene_reaction_rule":"(GW101-3H11_contig_1_4198 or GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970) or GW101-3H11_contig_1_1806 or GW101-3H11_contig_1_3089", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -16662,7 +16641,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -16765,7 +16744,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_2500 or GW101-3H11_contig_1_2276 or GW101-3H11_contig_1_4067 or GW101-3H11_contig_1_855) or (GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_855 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276)", +"gene_reaction_rule":"(GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276 or GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_855) or (GW101-3H11_contig_1_304 or GW101-3H11_contig_1_2500 or GW101-3H11_contig_1_2276 or GW101-3H11_contig_1_4067 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_855 or GW101-3H11_contig_1_2049)", "notes":{ "modelseed_complex":"cpx00454;cpx00666" }, @@ -16828,7 +16807,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -16847,7 +16826,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"GW101-3H11_contig_1_1089 or GW101-3H11_contig_1_1153", +"gene_reaction_rule":"GW101-3H11_contig_1_1153 or GW101-3H11_contig_1_1089", "notes":{ "modelseed_complex":"cpx00115;tcpx00167" }, @@ -16890,7 +16869,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1697 and (GW101-3H11_contig_1_3655 or GW101-3H11_contig_1_3854 or GW101-3H11_contig_1_3342) and GW101-3H11_contig_1_74 and (GW101-3H11_contig_1_1695 or GW101-3H11_contig_1_3656) and (GW101-3H11_contig_1_860 or GW101-3H11_contig_1_3383 or GW101-3H11_contig_1_3343 or GW101-3H11_contig_1_665 or GW101-3H11_contig_1_281 or GW101-3H11_contig_1_77) and (GW101-3H11_contig_1_859 or GW101-3H11_contig_1_3382 or GW101-3H11_contig_1_282 or GW101-3H11_contig_1_73 or GW101-3H11_contig_1_661 or GW101-3H11_contig_1_1694) and (GW101-3H11_contig_1_1690 or GW101-3H11_contig_1_2720 or GW101-3H11_contig_1_4434) and (GW101-3H11_contig_1_3857 or GW101-3H11_contig_1_3658) and GW101-3H11_contig_1_3855 and GW101-3H11_contig_1_3856", +"gene_reaction_rule":"GW101-3H11_contig_1_1697 and (GW101-3H11_contig_1_3854 or GW101-3H11_contig_1_3342 or GW101-3H11_contig_1_3655) and GW101-3H11_contig_1_74 and (GW101-3H11_contig_1_3656 or GW101-3H11_contig_1_1695) and (GW101-3H11_contig_1_665 or GW101-3H11_contig_1_77 or GW101-3H11_contig_1_3383 or GW101-3H11_contig_1_3343 or GW101-3H11_contig_1_860 or GW101-3H11_contig_1_281) and (GW101-3H11_contig_1_859 or GW101-3H11_contig_1_73 or GW101-3H11_contig_1_3382 or GW101-3H11_contig_1_661 or GW101-3H11_contig_1_1694 or GW101-3H11_contig_1_282) and (GW101-3H11_contig_1_4434 or GW101-3H11_contig_1_2720 or GW101-3H11_contig_1_1690) and (GW101-3H11_contig_1_3857 or GW101-3H11_contig_1_3658) and GW101-3H11_contig_1_3855 and GW101-3H11_contig_1_3856", "notes":{ "modelseed_complex":"tcpx00675" }, @@ -16953,7 +16932,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_3051 or GW101-3H11_contig_1_4829", +"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_4829 or GW101-3H11_contig_1_3051", "notes":{ "modelseed_complex":"cpx00145" }, @@ -17077,7 +17056,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -17201,7 +17180,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970 or GW101-3H11_contig_1_4198) or GW101-3H11_contig_1_3089 or GW101-3H11_contig_1_1806", +"gene_reaction_rule":"(GW101-3H11_contig_1_4198 or GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970) or GW101-3H11_contig_1_1806 or GW101-3H11_contig_1_3089", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -17223,7 +17202,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_3348 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_4642", +"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_4642 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3348", "notes":{ "modelseed_complex":"cpx00498" }, @@ -17286,7 +17265,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -17373,7 +17352,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4192 or GW101-3H11_contig_1_3120", +"gene_reaction_rule":"GW101-3H11_contig_1_3120 or GW101-3H11_contig_1_4192", "notes":{ "modelseed_complex":"cpx00209" }, @@ -17435,7 +17414,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_127 or GW101-3H11_contig_1_4523 or GW101-3H11_contig_1_3448 or GW101-3H11_contig_1_1351", +"gene_reaction_rule":"GW101-3H11_contig_1_4523 or GW101-3H11_contig_1_1351 or GW101-3H11_contig_1_3448 or GW101-3H11_contig_1_127", "notes":{ "modelseed_complex":"cpx00827" }, @@ -17453,7 +17432,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_385 or GW101-3H11_contig_1_311 or GW101-3H11_contig_1_3627", +"gene_reaction_rule":"GW101-3H11_contig_1_385 or GW101-3H11_contig_1_3627 or GW101-3H11_contig_1_311", "notes":{ "modelseed_complex":"cpx01115" }, @@ -17474,7 +17453,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -17558,7 +17537,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -17597,7 +17576,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2251 or GW101-3H11_contig_1_3130", +"gene_reaction_rule":"GW101-3H11_contig_1_3130 or GW101-3H11_contig_1_2251", "notes":{ "modelseed_complex":"cpx00302" }, @@ -17629,26 +17608,6 @@ } }, { -"id":"rxn08792_c0", -"name":"lactate oxidation [c0]", -"metabolites":{ -"cpd00020_c0":1, -"cpd00159_c0":-1, -"cpd15560_c0":-1, -"cpd15561_c0":1 -}, -"lower_bound":0, -"upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3787 or GW101-3H11_contig_1_3928 or GW101-3H11_contig_1_1947", -"notes":{ -"modelseed_complex":"tcpx00044" -}, -"annotation":{ -"sbo":"SBO:0000176", -"seed.reaction":"rxn08792" -} -}, -{ "id":"rxn02798_c0", "name":"Estrone 3-sulfate sulfohydrolase [c0]", "metabolites":{ @@ -17680,7 +17639,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4779 or GW101-3H11_contig_1_4778 or GW101-3H11_contig_1_766", +"gene_reaction_rule":"GW101-3H11_contig_1_766 or GW101-3H11_contig_1_4778 or GW101-3H11_contig_1_4779", "notes":{ "modelseed_complex":"cpx00193" }, @@ -17703,7 +17662,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_4904 or GW101-3H11_contig_1_1163 or GW101-3H11_contig_1_1879 or GW101-3H11_contig_1_4610 or GW101-3H11_contig_1_969 or GW101-3H11_contig_1_968 or GW101-3H11_contig_1_2431 or GW101-3H11_contig_1_1164) and (GW101-3H11_contig_1_967 or GW101-3H11_contig_1_2432 or GW101-3H11_contig_1_1165 or GW101-3H11_contig_1_4609 or GW101-3H11_contig_1_1878 or GW101-3H11_contig_1_4905) and (GW101-3H11_contig_1_2433 or GW101-3H11_contig_1_964 or GW101-3H11_contig_1_1166 or GW101-3H11_contig_1_4608 or GW101-3H11_contig_1_1877 or GW101-3H11_contig_1_4906)", +"gene_reaction_rule":"(GW101-3H11_contig_1_968 or GW101-3H11_contig_1_4904 or GW101-3H11_contig_1_2431 or GW101-3H11_contig_1_4610 or GW101-3H11_contig_1_1879 or GW101-3H11_contig_1_969 or GW101-3H11_contig_1_1163 or GW101-3H11_contig_1_1164) and (GW101-3H11_contig_1_4905 or GW101-3H11_contig_1_1878 or GW101-3H11_contig_1_2432 or GW101-3H11_contig_1_1165 or GW101-3H11_contig_1_4609 or GW101-3H11_contig_1_967) and (GW101-3H11_contig_1_1877 or GW101-3H11_contig_1_1166 or GW101-3H11_contig_1_964 or GW101-3H11_contig_1_4906 or GW101-3H11_contig_1_4608 or GW101-3H11_contig_1_2433)", "notes":{ "modelseed_complex":"tcpx00679" }, @@ -17724,7 +17683,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -17765,7 +17724,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4408 or GW101-3H11_contig_1_1861 or GW101-3H11_contig_1_4407 or GW101-3H11_contig_1_2349 or GW101-3H11_contig_1_2999", +"gene_reaction_rule":"GW101-3H11_contig_1_4407 or GW101-3H11_contig_1_4408 or GW101-3H11_contig_1_1861 or GW101-3H11_contig_1_2349 or GW101-3H11_contig_1_2999", "notes":{ "modelseed_complex":"tcpx00353" }, @@ -17784,7 +17743,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -17932,7 +17891,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4408 or GW101-3H11_contig_1_1861 or GW101-3H11_contig_1_4407 or GW101-3H11_contig_1_2349 or GW101-3H11_contig_1_2999", +"gene_reaction_rule":"GW101-3H11_contig_1_4407 or GW101-3H11_contig_1_4408 or GW101-3H11_contig_1_1861 or GW101-3H11_contig_1_2349 or GW101-3H11_contig_1_2999", "notes":{ "modelseed_complex":"cpx00040" }, @@ -17991,7 +17950,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4596 or GW101-3H11_contig_1_4598 or GW101-3H11_contig_1_4599", +"gene_reaction_rule":"GW101-3H11_contig_1_4598 or GW101-3H11_contig_1_4599 or GW101-3H11_contig_1_4596", "notes":{ "modelseed_complex":"tcpx00727;tcpx00728;tcpx00729" }, @@ -18012,7 +17971,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3740 or GW101-3H11_contig_1_4247) or GW101-3H11_contig_1_777", +"gene_reaction_rule":"GW101-3H11_contig_1_777 or (GW101-3H11_contig_1_4247 or GW101-3H11_contig_1_3740)", "notes":{ "modelseed_complex":"cpx00289;tcpx00137" }, @@ -18052,7 +18011,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2981 or GW101-3H11_contig_1_2071", +"gene_reaction_rule":"GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2071 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_2981", "notes":{ "modelseed_complex":"cpx00206" }, @@ -18233,7 +18192,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2981 or GW101-3H11_contig_1_2071", +"gene_reaction_rule":"GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2071 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_2981", "notes":{ "modelseed_complex":"cpx00206" }, @@ -18254,7 +18213,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"GW101-3H11_contig_1_3827 or GW101-3H11_contig_1_4237 or GW101-3H11_contig_1_498 or GW101-3H11_contig_1_1349", +"gene_reaction_rule":"GW101-3H11_contig_1_498 or GW101-3H11_contig_1_4237 or GW101-3H11_contig_1_3827 or GW101-3H11_contig_1_1349", "notes":{ "modelseed_complex":"cpx01012" }, @@ -18295,7 +18254,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -18357,7 +18316,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -18399,7 +18358,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3740 or GW101-3H11_contig_1_4247) or GW101-3H11_contig_1_777", +"gene_reaction_rule":"GW101-3H11_contig_1_777 or (GW101-3H11_contig_1_4247 or GW101-3H11_contig_1_3740)", "notes":{ "modelseed_complex":"cpx00289;tcpx00137" }, @@ -18502,7 +18461,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4121 or GW101-3H11_contig_1_884", +"gene_reaction_rule":"GW101-3H11_contig_1_884 or GW101-3H11_contig_1_4121", "notes":{ "modelseed_complex":"cpx01210" }, @@ -18566,7 +18525,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_770 or (GW101-3H11_contig_1_3086 and GW101-3H11_contig_1_3085 and (GW101-3H11_contig_1_3088 or GW101-3H11_contig_1_3237) and GW101-3H11_contig_1_3087)", +"gene_reaction_rule":"(GW101-3H11_contig_1_3086 and GW101-3H11_contig_1_3085 and (GW101-3H11_contig_1_3237 or GW101-3H11_contig_1_3088) and GW101-3H11_contig_1_3087) or GW101-3H11_contig_1_770", "notes":{ "modelseed_complex":"tcpx00586;tcpx01212" }, @@ -18607,7 +18566,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_25 or GW101-3H11_contig_1_3671", +"gene_reaction_rule":"GW101-3H11_contig_1_3671 or GW101-3H11_contig_1_25", "notes":{ "modelseed_complex":"cpx00146" }, @@ -18671,7 +18630,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3787 or GW101-3H11_contig_1_3928 or GW101-3H11_contig_1_1947", +"gene_reaction_rule":"GW101-3H11_contig_1_1947 or GW101-3H11_contig_1_3787 or GW101-3H11_contig_1_3928", "notes":{ "modelseed_complex":"tcpx00044" }, @@ -18692,7 +18651,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -18732,7 +18691,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970 or GW101-3H11_contig_1_4198) or GW101-3H11_contig_1_3089 or GW101-3H11_contig_1_1806", +"gene_reaction_rule":"(GW101-3H11_contig_1_4198 or GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970) or GW101-3H11_contig_1_1806 or GW101-3H11_contig_1_3089", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -18938,7 +18897,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -18959,7 +18918,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_836 or (GW101-3H11_contig_1_854 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_2048 or GW101-3H11_contig_1_4218)", +"gene_reaction_rule":"GW101-3H11_contig_1_836 or (GW101-3H11_contig_1_2048 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_854 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_4218)", "notes":{ "modelseed_complex":"cpx01599;tcpx00306" }, @@ -19245,7 +19204,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -19325,7 +19284,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -19366,7 +19325,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2981 or GW101-3H11_contig_1_2071", +"gene_reaction_rule":"GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2071 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_2981", "notes":{ "modelseed_complex":"cpx00206" }, @@ -19553,7 +19512,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2371 or GW101-3H11_contig_1_4641", +"gene_reaction_rule":"GW101-3H11_contig_1_4641 or GW101-3H11_contig_1_2371", "notes":{ "modelseed_complex":"cpx52522" }, @@ -19592,7 +19551,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -19615,7 +19574,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3472 or GW101-3H11_contig_1_4768", +"gene_reaction_rule":"GW101-3H11_contig_1_4768 or GW101-3H11_contig_1_3472", "notes":{ "modelseed_complex":"cpx01030" }, @@ -19674,7 +19633,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -19692,7 +19651,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2225 or (GW101-3H11_contig_1_2225 or GW101-3H11_contig_1_3440)", +"gene_reaction_rule":"GW101-3H11_contig_1_2225 or (GW101-3H11_contig_1_3440 or GW101-3H11_contig_1_2225)", "notes":{ "modelseed_complex":"cpx00845;cpx52729" }, @@ -19833,7 +19792,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4186 or GW101-3H11_contig_1_4777", +"gene_reaction_rule":"GW101-3H11_contig_1_4777 or GW101-3H11_contig_1_4186", "notes":{ "modelseed_complex":"cpx01531;cpx01532" }, @@ -20005,7 +19964,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -20109,7 +20068,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -20195,7 +20154,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4192 or GW101-3H11_contig_1_3120", +"gene_reaction_rule":"GW101-3H11_contig_1_3120 or GW101-3H11_contig_1_4192", "notes":{ "modelseed_complex":"cpx00209" }, @@ -20293,7 +20252,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3018 or GW101-3H11_contig_1_189", +"gene_reaction_rule":"GW101-3H11_contig_1_189 or GW101-3H11_contig_1_3018", "notes":{ "modelseed_complex":"cpx00192" }, @@ -20313,7 +20272,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3155 or GW101-3H11_contig_1_4811 or GW101-3H11_contig_1_2601", +"gene_reaction_rule":"GW101-3H11_contig_1_2601 or GW101-3H11_contig_1_4811 or GW101-3H11_contig_1_3155", "notes":{ "modelseed_complex":"cpx01252" }, @@ -20354,7 +20313,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3018 or GW101-3H11_contig_1_189", +"gene_reaction_rule":"GW101-3H11_contig_1_189 or GW101-3H11_contig_1_3018", "notes":{ "modelseed_complex":"cpx00192" }, @@ -20459,7 +20418,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2374 or GW101-3H11_contig_1_3415", +"gene_reaction_rule":"GW101-3H11_contig_1_3415 or GW101-3H11_contig_1_2374", "notes":{ "modelseed_complex":"tcpx00799" }, @@ -20522,7 +20481,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970 or GW101-3H11_contig_1_4198) or GW101-3H11_contig_1_1806", +"gene_reaction_rule":"(GW101-3H11_contig_1_4198 or GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970) or GW101-3H11_contig_1_1806", "notes":{ "modelseed_complex":"cpx00863;cpx01447" }, @@ -20604,7 +20563,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -20745,7 +20704,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -20766,7 +20725,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -20852,7 +20811,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4192 or GW101-3H11_contig_1_3120", +"gene_reaction_rule":"GW101-3H11_contig_1_3120 or GW101-3H11_contig_1_4192", "notes":{ "modelseed_complex":"cpx00209" }, @@ -20873,7 +20832,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -20893,7 +20852,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"(GW101-3H11_contig_1_605 or GW101-3H11_contig_1_2598 or GW101-3H11_contig_1_2353) or GW101-3H11_contig_1_2552 or (GW101-3H11_contig_1_605 or GW101-3H11_contig_1_2598 or GW101-3H11_contig_1_2419)", +"gene_reaction_rule":"(GW101-3H11_contig_1_2598 or GW101-3H11_contig_1_2353 or GW101-3H11_contig_1_605) or GW101-3H11_contig_1_2552 or (GW101-3H11_contig_1_2598 or GW101-3H11_contig_1_2419 or GW101-3H11_contig_1_605)", "notes":{ "modelseed_complex":"cpx00373;cpx00374;cpx00375" }, @@ -20912,7 +20871,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -20932,7 +20891,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"GW101-3H11_contig_1_2646 or GW101-3H11_contig_1_2404", +"gene_reaction_rule":"GW101-3H11_contig_1_2404 or GW101-3H11_contig_1_2646", "notes":{ "modelseed_complex":"cpx01524" }, @@ -21097,7 +21056,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1146 or GW101-3H11_contig_1_3649", +"gene_reaction_rule":"GW101-3H11_contig_1_3649 or GW101-3H11_contig_1_1146", "notes":{ "modelseed_complex":"cpx00773" }, @@ -21119,7 +21078,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_3051 or GW101-3H11_contig_1_4829", +"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_4829 or GW101-3H11_contig_1_3051", "notes":{ "modelseed_complex":"cpx00145" }, @@ -21160,7 +21119,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4133 or GW101-3H11_contig_1_2974", +"gene_reaction_rule":"GW101-3H11_contig_1_2974 or GW101-3H11_contig_1_4133", "notes":{ "modelseed_complex":"cpx00573" }, @@ -21180,7 +21139,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00046;cpx00048" }, @@ -21221,7 +21180,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2225 or (GW101-3H11_contig_1_2225 or GW101-3H11_contig_1_3440)", +"gene_reaction_rule":"GW101-3H11_contig_1_2225 or (GW101-3H11_contig_1_3440 or GW101-3H11_contig_1_2225)", "notes":{ "modelseed_complex":"cpx00845;cpx52729" }, @@ -21241,7 +21200,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1353 or GW101-3H11_contig_1_3522 or GW101-3H11_contig_1_3209 or GW101-3H11_contig_1_2669 or GW101-3H11_contig_1_3765 or GW101-3H11_contig_1_4063 or GW101-3H11_contig_1_28 or GW101-3H11_contig_1_2397", +"gene_reaction_rule":"GW101-3H11_contig_1_2669 or GW101-3H11_contig_1_3522 or GW101-3H11_contig_1_3209 or GW101-3H11_contig_1_1353 or GW101-3H11_contig_1_3765 or GW101-3H11_contig_1_4063 or GW101-3H11_contig_1_2397 or GW101-3H11_contig_1_28", "notes":{ "modelseed_complex":"cpx00571" }, @@ -21282,7 +21241,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970 or GW101-3H11_contig_1_4198) or GW101-3H11_contig_1_3089 or GW101-3H11_contig_1_1806", +"gene_reaction_rule":"(GW101-3H11_contig_1_4198 or GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970) or GW101-3H11_contig_1_1806 or GW101-3H11_contig_1_3089", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -21344,7 +21303,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"GW101-3H11_contig_1_3827 or GW101-3H11_contig_1_4237 or GW101-3H11_contig_1_498 or GW101-3H11_contig_1_1349", +"gene_reaction_rule":"GW101-3H11_contig_1_498 or GW101-3H11_contig_1_4237 or GW101-3H11_contig_1_3827 or GW101-3H11_contig_1_1349", "notes":{ "modelseed_complex":"cpx01012" }, @@ -21364,7 +21323,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970 or GW101-3H11_contig_1_4198) or GW101-3H11_contig_1_1806", +"gene_reaction_rule":"(GW101-3H11_contig_1_4198 or GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970) or GW101-3H11_contig_1_1806", "notes":{ "modelseed_complex":"cpx00863;cpx01447" }, @@ -21384,7 +21343,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -21738,7 +21697,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970 or GW101-3H11_contig_1_4198) or GW101-3H11_contig_1_3089 or GW101-3H11_contig_1_1806", +"gene_reaction_rule":"(GW101-3H11_contig_1_4198 or GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970) or GW101-3H11_contig_1_1806 or GW101-3H11_contig_1_3089", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -21778,7 +21737,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -21857,7 +21816,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -21921,7 +21880,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_3348 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_4642", +"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_4642 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3348", "notes":{ "modelseed_complex":"cpx00498" }, @@ -22038,7 +21997,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2669 or GW101-3H11_contig_1_1074 or GW101-3H11_contig_1_2669 or (GW101-3H11_contig_1_1353 or GW101-3H11_contig_1_3522 or GW101-3H11_contig_1_3209 or GW101-3H11_contig_1_2669 or GW101-3H11_contig_1_3765 or GW101-3H11_contig_1_4063 or GW101-3H11_contig_1_28 or GW101-3H11_contig_1_2397)", +"gene_reaction_rule":"GW101-3H11_contig_1_1074 or GW101-3H11_contig_1_2669 or (GW101-3H11_contig_1_2669 or GW101-3H11_contig_1_3522 or GW101-3H11_contig_1_3209 or GW101-3H11_contig_1_1353 or GW101-3H11_contig_1_3765 or GW101-3H11_contig_1_4063 or GW101-3H11_contig_1_2397 or GW101-3H11_contig_1_28) or GW101-3H11_contig_1_2669", "notes":{ "modelseed_complex":"cpx00571;cpx00578;cpx01690;tcpx01256" }, @@ -22182,7 +22141,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -22325,7 +22284,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_585 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_850) or GW101-3H11_contig_1_4314 or (GW101-3H11_contig_1_3873 or GW101-3H11_contig_1_2073)", +"gene_reaction_rule":"(GW101-3H11_contig_1_585 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_850) or GW101-3H11_contig_1_4314 or (GW101-3H11_contig_1_3873 or GW101-3H11_contig_1_2073)", "notes":{ "modelseed_complex":"tcpx00049;tcpx00054;tcpx00282" }, @@ -22409,7 +22368,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970 or GW101-3H11_contig_1_4198) or GW101-3H11_contig_1_3089 or GW101-3H11_contig_1_1806", +"gene_reaction_rule":"(GW101-3H11_contig_1_4198 or GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970) or GW101-3H11_contig_1_1806 or GW101-3H11_contig_1_3089", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -22469,7 +22428,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3018 or GW101-3H11_contig_1_189", +"gene_reaction_rule":"GW101-3H11_contig_1_189 or GW101-3H11_contig_1_3018", "notes":{ "modelseed_complex":"cpx00192" }, @@ -22702,7 +22661,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -22724,7 +22683,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_3051 or GW101-3H11_contig_1_4829", +"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_4829 or GW101-3H11_contig_1_3051", "notes":{ "modelseed_complex":"cpx00145" }, @@ -22787,7 +22746,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -22890,7 +22849,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"GW101-3H11_contig_1_1078 and (GW101-3H11_contig_1_1076 or GW101-3H11_contig_1_3712)", +"gene_reaction_rule":"GW101-3H11_contig_1_1078 and (GW101-3H11_contig_1_3712 or GW101-3H11_contig_1_1076)", "notes":{ "modelseed_complex":"tcpx00145" }, @@ -22932,7 +22891,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4192 or GW101-3H11_contig_1_3120", +"gene_reaction_rule":"GW101-3H11_contig_1_3120 or GW101-3H11_contig_1_4192", "notes":{ "modelseed_complex":"cpx00209" }, @@ -22975,7 +22934,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_3051 or GW101-3H11_contig_1_4829", +"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_4829 or GW101-3H11_contig_1_3051", "notes":{ "modelseed_complex":"cpx00145" }, @@ -23014,7 +22973,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4192 or GW101-3H11_contig_1_3120", +"gene_reaction_rule":"GW101-3H11_contig_1_3120 or GW101-3H11_contig_1_4192", "notes":{ "modelseed_complex":"cpx00209" }, @@ -23137,7 +23096,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4163 or (GW101-3H11_contig_1_2204 or GW101-3H11_contig_1_3571)", +"gene_reaction_rule":"GW101-3H11_contig_1_4163 or (GW101-3H11_contig_1_3571 or GW101-3H11_contig_1_2204)", "notes":{ "modelseed_complex":"tcpx00319;tcpx00320" }, @@ -23221,7 +23180,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1525 and (GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_585 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_850)", +"gene_reaction_rule":"GW101-3H11_contig_1_1525 and (GW101-3H11_contig_1_585 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_850)", "notes":{ "modelseed_complex":"tcpx01116" }, @@ -23366,7 +23325,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -23498,7 +23457,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_357 or GW101-3H11_contig_1_3268) and GW101-3H11_contig_1_3267", +"gene_reaction_rule":"(GW101-3H11_contig_1_3268 or GW101-3H11_contig_1_357) and GW101-3H11_contig_1_3267", "notes":{ "modelseed_complex":"tcpx00637" }, @@ -23621,7 +23580,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -23642,7 +23601,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -23663,7 +23622,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3740 or GW101-3H11_contig_1_4247) or GW101-3H11_contig_1_777", +"gene_reaction_rule":"GW101-3H11_contig_1_777 or (GW101-3H11_contig_1_4247 or GW101-3H11_contig_1_3740)", "notes":{ "modelseed_complex":"cpx00289;tcpx00137" }, @@ -23726,7 +23685,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3787 or GW101-3H11_contig_1_3928 or GW101-3H11_contig_1_1947", +"gene_reaction_rule":"GW101-3H11_contig_1_1947 or GW101-3H11_contig_1_3787 or GW101-3H11_contig_1_3928", "notes":{ "modelseed_complex":"tcpx00044" }, @@ -23999,7 +23958,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"(GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_585 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_850) or GW101-3H11_contig_1_4314", +"gene_reaction_rule":"(GW101-3H11_contig_1_585 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_850) or GW101-3H11_contig_1_4314", "notes":{ "modelseed_complex":"tcpx00049;tcpx00282" }, @@ -24056,7 +24015,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -24141,7 +24100,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_3348 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_4642", +"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_4642 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3348", "notes":{ "modelseed_complex":"cpx00498" }, @@ -24330,7 +24289,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3327 or GW101-3H11_contig_1_877 or GW101-3H11_contig_1_3804 or GW101-3H11_contig_1_3806 or GW101-3H11_contig_1_3766 or GW101-3H11_contig_1_876) and GW101-3H11_contig_1_879 and GW101-3H11_contig_1_880 and GW101-3H11_contig_1_878", +"gene_reaction_rule":"(GW101-3H11_contig_1_3804 or GW101-3H11_contig_1_3806 or GW101-3H11_contig_1_877 or GW101-3H11_contig_1_3766 or GW101-3H11_contig_1_3327 or GW101-3H11_contig_1_876) and GW101-3H11_contig_1_879 and GW101-3H11_contig_1_880 and GW101-3H11_contig_1_878", "notes":{ "modelseed_complex":"tcpx00684" }, @@ -24413,7 +24372,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -24454,7 +24413,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3301 or GW101-3H11_contig_1_3302", +"gene_reaction_rule":"GW101-3H11_contig_1_3302 or GW101-3H11_contig_1_3301", "notes":{ "modelseed_complex":"cpx00562" }, @@ -24514,7 +24473,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -24658,7 +24617,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2981 or GW101-3H11_contig_1_2071", +"gene_reaction_rule":"GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2071 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_2981", "notes":{ "modelseed_complex":"cpx00206" }, @@ -24720,7 +24679,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"(GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_855 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276) or GW101-3H11_contig_1_838", +"gene_reaction_rule":"GW101-3H11_contig_1_838 or (GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276 or GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_855)", "notes":{ "modelseed_complex":"cpx00454;tcpx00072" }, @@ -24742,7 +24701,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3521 or GW101-3H11_contig_1_2926", +"gene_reaction_rule":"GW101-3H11_contig_1_2926 or GW101-3H11_contig_1_3521", "notes":{ "modelseed_complex":"tcpx00345" }, @@ -24951,7 +24910,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -24973,7 +24932,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3768 or GW101-3H11_contig_1_4105", +"gene_reaction_rule":"GW101-3H11_contig_1_4105 or GW101-3H11_contig_1_3768", "notes":{ "modelseed_complex":"cpx00398" }, @@ -25073,7 +25032,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_854 or (GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2981 or GW101-3H11_contig_1_2071)", +"gene_reaction_rule":"GW101-3H11_contig_1_854 or (GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2071 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_2981)", "notes":{ "modelseed_complex":"cpx00206;cpx01687" }, @@ -25115,7 +25074,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4191 or GW101-3H11_contig_1_4120", +"gene_reaction_rule":"GW101-3H11_contig_1_4120 or GW101-3H11_contig_1_4191", "notes":{ "modelseed_complex":"tcpx00177" }, @@ -25273,7 +25232,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1447 or GW101-3H11_contig_1_3219", +"gene_reaction_rule":"GW101-3H11_contig_1_3219 or GW101-3H11_contig_1_1447", "notes":{ "modelseed_complex":"cpx01831" }, @@ -25354,7 +25313,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4192 or GW101-3H11_contig_1_3120", +"gene_reaction_rule":"GW101-3H11_contig_1_3120 or GW101-3H11_contig_1_4192", "notes":{ "modelseed_complex":"cpx00209" }, @@ -25376,7 +25335,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_127 or GW101-3H11_contig_1_4523 or GW101-3H11_contig_1_3448 or GW101-3H11_contig_1_1351", +"gene_reaction_rule":"GW101-3H11_contig_1_4523 or GW101-3H11_contig_1_1351 or GW101-3H11_contig_1_3448 or GW101-3H11_contig_1_127", "notes":{ "modelseed_complex":"cpx00827" }, @@ -25437,7 +25396,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2494 or GW101-3H11_contig_1_2047 or GW101-3H11_contig_1_1516 or GW101-3H11_contig_1_1304 or GW101-3H11_contig_1_535", +"gene_reaction_rule":"GW101-3H11_contig_1_2047 or GW101-3H11_contig_1_1516 or GW101-3H11_contig_1_2494 or GW101-3H11_contig_1_1304 or GW101-3H11_contig_1_535", "notes":{ "modelseed_complex":"tcpx01141" }, @@ -25457,7 +25416,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_882 or GW101-3H11_contig_1_4931 or GW101-3H11_contig_1_2171 or GW101-3H11_contig_1_4514", +"gene_reaction_rule":"GW101-3H11_contig_1_4514 or GW101-3H11_contig_1_882 or GW101-3H11_contig_1_4931 or GW101-3H11_contig_1_2171", "notes":{ "modelseed_complex":"tcpx01348" }, @@ -25498,7 +25457,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"(GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_855 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276) or GW101-3H11_contig_1_838", +"gene_reaction_rule":"GW101-3H11_contig_1_838 or (GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276 or GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_855)", "notes":{ "modelseed_complex":"cpx00454;tcpx00072" }, @@ -25540,7 +25499,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2901 or GW101-3H11_contig_1_3170 or GW101-3H11_contig_1_1651", +"gene_reaction_rule":"GW101-3H11_contig_1_3170 or GW101-3H11_contig_1_1651 or GW101-3H11_contig_1_2901", "notes":{ "modelseed_complex":"tcpx00391" }, @@ -25581,7 +25540,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4165 or GW101-3H11_contig_1_4164", +"gene_reaction_rule":"GW101-3H11_contig_1_4164 or GW101-3H11_contig_1_4165", "notes":{ "modelseed_complex":"cpx00767;cpx00769" }, @@ -25619,7 +25578,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_328 or GW101-3H11_contig_1_3805", +"gene_reaction_rule":"GW101-3H11_contig_1_3805 or GW101-3H11_contig_1_328", "notes":{ "modelseed_complex":"cpx00627;tcpx00030" }, @@ -25638,7 +25597,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -25683,7 +25642,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1055 or (GW101-3H11_contig_1_4025 or GW101-3H11_contig_1_741 or GW101-3H11_contig_1_1054 or GW101-3H11_contig_1_2299 or GW101-3H11_contig_1_2290) or (GW101-3H11_contig_1_3579 or GW101-3H11_contig_1_249)", +"gene_reaction_rule":"(GW101-3H11_contig_1_2290 or GW101-3H11_contig_1_4025 or GW101-3H11_contig_1_2299 or GW101-3H11_contig_1_741 or GW101-3H11_contig_1_1054) or (GW101-3H11_contig_1_3579 or GW101-3H11_contig_1_249) or GW101-3H11_contig_1_1055", "notes":{ "modelseed_complex":"cpx00965;tcpx00280;tcpx00281" }, @@ -25724,7 +25683,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1318 or GW101-3H11_contig_1_2364", +"gene_reaction_rule":"GW101-3H11_contig_1_2364 or GW101-3H11_contig_1_1318", "notes":{ "modelseed_complex":"cpx00487" }, @@ -25745,7 +25704,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -25764,7 +25723,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -25850,7 +25809,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_979 or ((GW101-3H11_contig_1_981 or GW101-3H11_contig_1_3252) and (GW101-3H11_contig_1_980 or GW101-3H11_contig_1_3253))", +"gene_reaction_rule":"((GW101-3H11_contig_1_981 or GW101-3H11_contig_1_3252) and (GW101-3H11_contig_1_980 or GW101-3H11_contig_1_3253)) or GW101-3H11_contig_1_979", "notes":{ "modelseed_complex":"tcpx00591;tcpx00594" }, @@ -25912,7 +25871,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3740 or GW101-3H11_contig_1_4247) or GW101-3H11_contig_1_777", +"gene_reaction_rule":"GW101-3H11_contig_1_777 or (GW101-3H11_contig_1_4247 or GW101-3H11_contig_1_3740)", "notes":{ "modelseed_complex":"cpx00289;tcpx00137" }, @@ -25954,7 +25913,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4133 or GW101-3H11_contig_1_2974", +"gene_reaction_rule":"GW101-3H11_contig_1_2974 or GW101-3H11_contig_1_4133", "notes":{ "modelseed_complex":"cpx00573" }, @@ -26058,7 +26017,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -26078,7 +26037,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3787 or GW101-3H11_contig_1_3928 or GW101-3H11_contig_1_1947", +"gene_reaction_rule":"GW101-3H11_contig_1_1947 or GW101-3H11_contig_1_3787 or GW101-3H11_contig_1_3928", "notes":{ "modelseed_complex":"tcpx00044" }, @@ -26101,7 +26060,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_3348 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_4642", +"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_4642 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3348", "notes":{ "modelseed_complex":"cpx00498" }, @@ -26120,7 +26079,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2981 or GW101-3H11_contig_1_2071", +"gene_reaction_rule":"GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2071 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_2981", "notes":{ "modelseed_complex":"cpx00206" }, @@ -26160,7 +26119,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_325 or GW101-3H11_contig_1_2051 or GW101-3H11_contig_1_4788", +"gene_reaction_rule":"GW101-3H11_contig_1_4788 or GW101-3H11_contig_1_2051 or GW101-3H11_contig_1_325", "notes":{ "modelseed_complex":"cpx01315" }, @@ -26220,7 +26179,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3686 or GW101-3H11_contig_1_3688", +"gene_reaction_rule":"GW101-3H11_contig_1_3688 or GW101-3H11_contig_1_3686", "notes":{ "modelseed_complex":"cpx01169;cpx01170" }, @@ -26243,7 +26202,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4299 or (GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_3348 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_4642) or GW101-3H11_contig_1_185", +"gene_reaction_rule":"(GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_4642 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3348) or GW101-3H11_contig_1_185 or GW101-3H11_contig_1_4299", "notes":{ "modelseed_complex":"cpx00498;cpx00499;cpx00912" }, @@ -26451,7 +26410,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3327 or GW101-3H11_contig_1_877 or GW101-3H11_contig_1_3804 or GW101-3H11_contig_1_3806 or GW101-3H11_contig_1_3766 or GW101-3H11_contig_1_876) and GW101-3H11_contig_1_880 and GW101-3H11_contig_1_878 and GW101-3H11_contig_1_879", +"gene_reaction_rule":"(GW101-3H11_contig_1_3804 or GW101-3H11_contig_1_3806 or GW101-3H11_contig_1_877 or GW101-3H11_contig_1_3766 or GW101-3H11_contig_1_3327 or GW101-3H11_contig_1_876) and GW101-3H11_contig_1_880 and GW101-3H11_contig_1_878 and GW101-3H11_contig_1_879", "notes":{ "modelseed_complex":"tcpx00626" }, @@ -26496,7 +26455,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4163 or (GW101-3H11_contig_1_2204 or GW101-3H11_contig_1_3571)", +"gene_reaction_rule":"GW101-3H11_contig_1_4163 or (GW101-3H11_contig_1_3571 or GW101-3H11_contig_1_2204)", "notes":{ "modelseed_complex":"tcpx00319;tcpx00320" }, @@ -26576,7 +26535,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3314 or GW101-3H11_contig_1_3313 or GW101-3H11_contig_1_2898 or GW101-3H11_contig_1_2897", +"gene_reaction_rule":"GW101-3H11_contig_1_2898 or GW101-3H11_contig_1_2897 or GW101-3H11_contig_1_3314 or GW101-3H11_contig_1_3313", "notes":{ "modelseed_complex":"cpx01348;cpx01351;tcpx00163;tcpx00164" }, @@ -26639,7 +26598,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"GW101-3H11_contig_1_3020 or GW101-3H11_contig_1_3021 or (GW101-3H11_contig_1_222 and (GW101-3H11_contig_1_2647 or GW101-3H11_contig_1_3417))", +"gene_reaction_rule":"(GW101-3H11_contig_1_222 and (GW101-3H11_contig_1_2647 or GW101-3H11_contig_1_3417)) or GW101-3H11_contig_1_3020 or GW101-3H11_contig_1_3021", "notes":{ "modelseed_complex":"tcpx00228;tcpx00229;tcpx00230" }, @@ -26720,7 +26679,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2778 or GW101-3H11_contig_1_616 or GW101-3H11_contig_1_638 or GW101-3H11_contig_1_82 or GW101-3H11_contig_1_3290 or GW101-3H11_contig_1_2761", +"gene_reaction_rule":"GW101-3H11_contig_1_2778 or GW101-3H11_contig_1_638 or GW101-3H11_contig_1_616 or GW101-3H11_contig_1_3290 or GW101-3H11_contig_1_82 or GW101-3H11_contig_1_2761", "notes":{ "modelseed_complex":"cpx01697" }, @@ -26780,7 +26739,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"GW101-3H11_contig_1_3647 or GW101-3H11_contig_1_1149", +"gene_reaction_rule":"GW101-3H11_contig_1_1149 or GW101-3H11_contig_1_3647", "notes":{ "modelseed_complex":"cpx00982" }, @@ -26820,7 +26779,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2717 or GW101-3H11_contig_1_4685 or GW101-3H11_contig_1_1305 or GW101-3H11_contig_1_3924 or GW101-3H11_contig_1_693 or GW101-3H11_contig_1_4755 or GW101-3H11_contig_1_2236 or GW101-3H11_contig_1_2991 or GW101-3H11_contig_1_3919", +"gene_reaction_rule":"GW101-3H11_contig_1_2236 or GW101-3H11_contig_1_693 or GW101-3H11_contig_1_4685 or GW101-3H11_contig_1_2991 or GW101-3H11_contig_1_4755 or GW101-3H11_contig_1_1305 or GW101-3H11_contig_1_3924 or GW101-3H11_contig_1_2717 or GW101-3H11_contig_1_3919", "notes":{ "modelseed_complex":"cpx01564" }, @@ -26840,7 +26799,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4779 or GW101-3H11_contig_1_4778 or GW101-3H11_contig_1_766", +"gene_reaction_rule":"GW101-3H11_contig_1_766 or GW101-3H11_contig_1_4778 or GW101-3H11_contig_1_4779", "notes":{ "modelseed_complex":"cpx00193" }, @@ -26902,7 +26861,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_392 or (GW101-3H11_contig_1_2282 or GW101-3H11_contig_1_2038 or GW101-3H11_contig_1_3618 or GW101-3H11_contig_1_3885)", +"gene_reaction_rule":"GW101-3H11_contig_1_392 or (GW101-3H11_contig_1_2282 or GW101-3H11_contig_1_2038 or GW101-3H11_contig_1_3885 or GW101-3H11_contig_1_3618)", "notes":{ "modelseed_complex":"cpx00019;tcpx00331" }, @@ -26967,7 +26926,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"(GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_855 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276) or GW101-3H11_contig_1_838", +"gene_reaction_rule":"GW101-3H11_contig_1_838 or (GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276 or GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_855)", "notes":{ "modelseed_complex":"cpx00454;tcpx00072" }, @@ -27008,7 +26967,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_25 or GW101-3H11_contig_1_3671", +"gene_reaction_rule":"GW101-3H11_contig_1_3671 or GW101-3H11_contig_1_25", "notes":{ "modelseed_complex":"cpx00146" }, @@ -27050,7 +27009,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1278 or GW101-3H11_contig_1_1277 or (GW101-3H11_contig_1_1280 and GW101-3H11_contig_1_1281 and GW101-3H11_contig_1_1283) or GW101-3H11_contig_1_1311 or (GW101-3H11_contig_1_1259 or GW101-3H11_contig_1_1276)", +"gene_reaction_rule":"GW101-3H11_contig_1_1277 or (GW101-3H11_contig_1_1280 and GW101-3H11_contig_1_1281 and GW101-3H11_contig_1_1283) or GW101-3H11_contig_1_1311 or (GW101-3H11_contig_1_1259 or GW101-3H11_contig_1_1276) or GW101-3H11_contig_1_1278", "notes":{ "modelseed_complex":"cpx01893;tcpx01233;tcpx01234;tcpx01235;tcpx01236" }, @@ -27071,7 +27030,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_158 or GW101-3H11_contig_1_3263 or GW101-3H11_contig_1_3263 or GW101-3H11_contig_1_158", +"gene_reaction_rule":"GW101-3H11_contig_1_158 or GW101-3H11_contig_1_158 or GW101-3H11_contig_1_3263 or GW101-3H11_contig_1_3263", "notes":{ "modelseed_complex":"cpx00910;cpx52754;cpx52755;cpx52757" }, @@ -27258,7 +27217,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4298 or GW101-3H11_contig_1_4291", +"gene_reaction_rule":"GW101-3H11_contig_1_4291 or GW101-3H11_contig_1_4298", "notes":{ "modelseed_complex":"cpx01577;tcpx00363" }, @@ -27279,7 +27238,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -27343,7 +27302,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -27527,7 +27486,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1171 or GW101-3H11_contig_1_2600", +"gene_reaction_rule":"GW101-3H11_contig_1_2600 or GW101-3H11_contig_1_1171", "notes":{ "modelseed_complex":"cpx01408;tcpx01061" }, @@ -27550,7 +27509,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2878 and GW101-3H11_contig_1_2877 and GW101-3H11_contig_1_2876 and (GW101-3H11_contig_1_2960 or GW101-3H11_contig_1_2879)", +"gene_reaction_rule":"GW101-3H11_contig_1_2878 and GW101-3H11_contig_1_2877 and GW101-3H11_contig_1_2876 and (GW101-3H11_contig_1_2879 or GW101-3H11_contig_1_2960)", "notes":{ "modelseed_complex":"cpx00285" }, @@ -27592,7 +27551,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -27655,7 +27614,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3720 or GW101-3H11_contig_1_2838 or GW101-3H11_contig_1_3719", +"gene_reaction_rule":"GW101-3H11_contig_1_3719 or GW101-3H11_contig_1_3720 or GW101-3H11_contig_1_2838", "notes":{ "modelseed_complex":"cpx00368;cpx00369;cpx00370" }, @@ -27783,7 +27742,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2669 or (GW101-3H11_contig_1_1353 or GW101-3H11_contig_1_3522 or GW101-3H11_contig_1_3209 or GW101-3H11_contig_1_2669 or GW101-3H11_contig_1_3765 or GW101-3H11_contig_1_4063 or GW101-3H11_contig_1_28 or GW101-3H11_contig_1_2397) or GW101-3H11_contig_1_3242", +"gene_reaction_rule":"GW101-3H11_contig_1_3242 or GW101-3H11_contig_1_2669 or (GW101-3H11_contig_1_2669 or GW101-3H11_contig_1_3522 or GW101-3H11_contig_1_3209 or GW101-3H11_contig_1_1353 or GW101-3H11_contig_1_3765 or GW101-3H11_contig_1_4063 or GW101-3H11_contig_1_2397 or GW101-3H11_contig_1_28)", "notes":{ "modelseed_complex":"cpx00571;cpx00578;tcpx00270" }, @@ -27804,7 +27763,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_585 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_850) or (GW101-3H11_contig_1_3873 or GW101-3H11_contig_1_2073)", +"gene_reaction_rule":"(GW101-3H11_contig_1_585 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_850) or (GW101-3H11_contig_1_3873 or GW101-3H11_contig_1_2073)", "notes":{ "modelseed_complex":"tcpx00054;tcpx00282" }, @@ -27891,7 +27850,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_3348 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_4642", +"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_4642 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3348", "notes":{ "modelseed_complex":"cpx00498" }, @@ -27932,7 +27891,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3018 or GW101-3H11_contig_1_189", +"gene_reaction_rule":"GW101-3H11_contig_1_189 or GW101-3H11_contig_1_3018", "notes":{ "modelseed_complex":"cpx00192" }, @@ -27974,7 +27933,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_130 or GW101-3H11_contig_1_2422", +"gene_reaction_rule":"GW101-3H11_contig_1_2422 or GW101-3H11_contig_1_130", "notes":{ "modelseed_complex":"cpx00073" }, @@ -28038,7 +27997,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -28078,7 +28037,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_127 or GW101-3H11_contig_1_4523 or GW101-3H11_contig_1_3448 or GW101-3H11_contig_1_1351", +"gene_reaction_rule":"GW101-3H11_contig_1_4523 or GW101-3H11_contig_1_1351 or GW101-3H11_contig_1_3448 or GW101-3H11_contig_1_127", "notes":{ "modelseed_complex":"cpx00827" }, @@ -28159,7 +28118,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -28223,7 +28182,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2966 or GW101-3H11_contig_1_3077", +"gene_reaction_rule":"GW101-3H11_contig_1_3077 or GW101-3H11_contig_1_2966", "notes":{ "modelseed_complex":"cpx00988;tcpx00210" }, @@ -28244,7 +28203,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4192 or GW101-3H11_contig_1_3120", +"gene_reaction_rule":"GW101-3H11_contig_1_3120 or GW101-3H11_contig_1_4192", "notes":{ "modelseed_complex":"cpx00209" }, @@ -28264,7 +28223,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4408 or GW101-3H11_contig_1_1861 or GW101-3H11_contig_1_4407 or GW101-3H11_contig_1_2349 or GW101-3H11_contig_1_2999", +"gene_reaction_rule":"GW101-3H11_contig_1_4407 or GW101-3H11_contig_1_4408 or GW101-3H11_contig_1_1861 or GW101-3H11_contig_1_2349 or GW101-3H11_contig_1_2999", "notes":{ "modelseed_complex":"cpx00040" }, @@ -28285,7 +28244,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4889 or GW101-3H11_contig_1_1341", +"gene_reaction_rule":"GW101-3H11_contig_1_1341 or GW101-3H11_contig_1_4889", "notes":{ "modelseed_complex":"cpx00765" }, @@ -28305,7 +28264,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970 or GW101-3H11_contig_1_4198) or GW101-3H11_contig_1_3089 or GW101-3H11_contig_1_1806", +"gene_reaction_rule":"(GW101-3H11_contig_1_4198 or GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970) or GW101-3H11_contig_1_1806 or GW101-3H11_contig_1_3089", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -28367,7 +28326,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3018 or GW101-3H11_contig_1_189", +"gene_reaction_rule":"GW101-3H11_contig_1_189 or GW101-3H11_contig_1_3018", "notes":{ "modelseed_complex":"cpx00192" }, @@ -28448,7 +28407,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3018 or GW101-3H11_contig_1_189", +"gene_reaction_rule":"GW101-3H11_contig_1_189 or GW101-3H11_contig_1_3018", "notes":{ "modelseed_complex":"cpx00192" }, @@ -28553,7 +28512,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -28597,7 +28556,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4192 or GW101-3H11_contig_1_3120", +"gene_reaction_rule":"GW101-3H11_contig_1_3120 or GW101-3H11_contig_1_4192", "notes":{ "modelseed_complex":"cpx00209" }, @@ -28741,7 +28700,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"GW101-3H11_contig_1_1031 or GW101-3H11_contig_1_1030", +"gene_reaction_rule":"GW101-3H11_contig_1_1030 or GW101-3H11_contig_1_1031", "notes":{ "modelseed_complex":"tcpx00401" }, @@ -28784,7 +28743,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_836 or (GW101-3H11_contig_1_854 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_2048 or GW101-3H11_contig_1_4218)", +"gene_reaction_rule":"GW101-3H11_contig_1_836 or (GW101-3H11_contig_1_2048 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_854 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_4218)", "notes":{ "modelseed_complex":"cpx01599;tcpx00306" }, @@ -28826,7 +28785,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_855 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276) or GW101-3H11_contig_1_838", +"gene_reaction_rule":"GW101-3H11_contig_1_838 or (GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276 or GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_855)", "notes":{ "modelseed_complex":"cpx00454;tcpx00072" }, @@ -28951,7 +28910,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4535 or GW101-3H11_contig_1_2230 or GW101-3H11_contig_1_3753", +"gene_reaction_rule":"GW101-3H11_contig_1_2230 or GW101-3H11_contig_1_4535 or GW101-3H11_contig_1_3753", "notes":{ "modelseed_complex":"cpx01459;cpx52471;cpx52473" }, @@ -28972,7 +28931,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3499 or GW101-3H11_contig_1_3300", +"gene_reaction_rule":"GW101-3H11_contig_1_3300 or GW101-3H11_contig_1_3499", "notes":{ "modelseed_complex":"tcpx00416" }, @@ -29286,7 +29245,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"(GW101-3H11_contig_1_1671 or GW101-3H11_contig_1_2163) and (GW101-3H11_contig_1_2162 or GW101-3H11_contig_1_1673)", +"gene_reaction_rule":"(GW101-3H11_contig_1_2163 or GW101-3H11_contig_1_1671) and (GW101-3H11_contig_1_2162 or GW101-3H11_contig_1_1673)", "notes":{ "modelseed_complex":"tcpx00199" }, @@ -29347,7 +29306,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4163 or (GW101-3H11_contig_1_2204 or GW101-3H11_contig_1_3571)", +"gene_reaction_rule":"GW101-3H11_contig_1_4163 or (GW101-3H11_contig_1_3571 or GW101-3H11_contig_1_2204)", "notes":{ "modelseed_complex":"tcpx00319;tcpx00320" }, @@ -29386,7 +29345,7 @@ "cpd00005_c0":-1, "cpd00006_c0":1 }, -"lower_bound":0, +"lower_bound":-1000, "upper_bound":1000, "gene_reaction_rule":"GW101-3H11_contig_1_4643 and GW101-3H11_contig_1_4644 and GW101-3H11_contig_1_4644", "notes":{ @@ -29548,7 +29507,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_2500 or GW101-3H11_contig_1_2276 or GW101-3H11_contig_1_4067 or GW101-3H11_contig_1_855) or GW101-3H11_contig_1_838 or (GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_855 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276)", +"gene_reaction_rule":"(GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276 or GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_855) or (GW101-3H11_contig_1_304 or GW101-3H11_contig_1_2500 or GW101-3H11_contig_1_2276 or GW101-3H11_contig_1_4067 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_855 or GW101-3H11_contig_1_2049) or GW101-3H11_contig_1_838", "notes":{ "modelseed_complex":"cpx00454;cpx00666;tcpx00072" }, @@ -29593,7 +29552,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_357 or GW101-3H11_contig_1_3268", +"gene_reaction_rule":"GW101-3H11_contig_1_3268 or GW101-3H11_contig_1_357", "notes":{ "modelseed_complex":"tcpx00682" }, @@ -29633,7 +29592,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_3051 or GW101-3H11_contig_1_4829", +"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_4829 or GW101-3H11_contig_1_3051", "notes":{ "modelseed_complex":"cpx00145" }, @@ -29655,7 +29614,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_3348 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_4642", +"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_4642 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3348", "notes":{ "modelseed_complex":"cpx00498" }, @@ -29696,7 +29655,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -29738,7 +29697,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4176 or GW101-3H11_contig_1_63", +"gene_reaction_rule":"GW101-3H11_contig_1_63 or GW101-3H11_contig_1_4176", "notes":{ "modelseed_complex":"tcpx00168" }, @@ -29781,7 +29740,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4656 or GW101-3H11_contig_1_985 or GW101-3H11_contig_1_986", +"gene_reaction_rule":"GW101-3H11_contig_1_985 or GW101-3H11_contig_1_986 or GW101-3H11_contig_1_4656", "notes":{ "modelseed_complex":"cpx00325;cpx00326;cpx00327" }, @@ -29843,7 +29802,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2406 or GW101-3H11_contig_1_1130 or GW101-3H11_contig_1_2459 or GW101-3H11_contig_1_4290 or GW101-3H11_contig_1_2815 or GW101-3H11_contig_1_870", +"gene_reaction_rule":"GW101-3H11_contig_1_870 or GW101-3H11_contig_1_2406 or GW101-3H11_contig_1_4290 or GW101-3H11_contig_1_2815 or GW101-3H11_contig_1_1130 or GW101-3H11_contig_1_2459", "notes":{ "modelseed_complex":"cpx00224" }, @@ -29992,7 +29951,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -30010,7 +29969,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_993 or GW101-3H11_contig_1_994", +"gene_reaction_rule":"GW101-3H11_contig_1_994 or GW101-3H11_contig_1_993", "notes":{ "modelseed_complex":"cpx00299" }, @@ -30030,7 +29989,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -30133,7 +30092,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -30155,7 +30114,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_3051 or GW101-3H11_contig_1_4829", +"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_4829 or GW101-3H11_contig_1_3051", "notes":{ "modelseed_complex":"cpx00145" }, @@ -30177,7 +30136,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_543 and (GW101-3H11_contig_1_3768 or GW101-3H11_contig_1_4105)", +"gene_reaction_rule":"GW101-3H11_contig_1_543 and (GW101-3H11_contig_1_4105 or GW101-3H11_contig_1_3768)", "notes":{ "modelseed_complex":"tcpx01054" }, @@ -30200,7 +30159,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_3348 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_4642", +"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_4642 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3348", "notes":{ "modelseed_complex":"cpx00498" }, @@ -30260,7 +30219,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -30280,7 +30239,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970 or GW101-3H11_contig_1_4198) or GW101-3H11_contig_1_3089 or GW101-3H11_contig_1_1806", +"gene_reaction_rule":"(GW101-3H11_contig_1_4198 or GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970) or GW101-3H11_contig_1_1806 or GW101-3H11_contig_1_3089", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -30301,7 +30260,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4090 or GW101-3H11_contig_1_336 or GW101-3H11_contig_1_2454", +"gene_reaction_rule":"GW101-3H11_contig_1_2454 or GW101-3H11_contig_1_4090 or GW101-3H11_contig_1_336", "notes":{ "modelseed_complex":"cpx01806" }, @@ -30340,7 +30299,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2540 or GW101-3H11_contig_1_1386 or GW101-3H11_contig_1_3968", +"gene_reaction_rule":"GW101-3H11_contig_1_3968 or GW101-3H11_contig_1_2540 or GW101-3H11_contig_1_1386", "notes":{ "modelseed_complex":"cpx01568" }, @@ -30506,7 +30465,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_3348 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_4642", +"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_4642 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3348", "notes":{ "modelseed_complex":"cpx00498" }, @@ -30550,7 +30509,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4192 or GW101-3H11_contig_1_3120", +"gene_reaction_rule":"GW101-3H11_contig_1_3120 or GW101-3H11_contig_1_4192", "notes":{ "modelseed_complex":"cpx00209" }, @@ -30834,7 +30793,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4656 or GW101-3H11_contig_1_985 or GW101-3H11_contig_1_986", +"gene_reaction_rule":"GW101-3H11_contig_1_985 or GW101-3H11_contig_1_986 or GW101-3H11_contig_1_4656", "notes":{ "modelseed_complex":"cpx00325;cpx00326;cpx00327" }, @@ -30919,7 +30878,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2337 or GW101-3H11_contig_1_2645", +"gene_reaction_rule":"GW101-3H11_contig_1_2645 or GW101-3H11_contig_1_2337", "notes":{ "modelseed_complex":"cpx00973;cpx00974" }, @@ -30938,7 +30897,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -31024,7 +30983,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2876 and (GW101-3H11_contig_1_2960 or GW101-3H11_contig_1_2879)", +"gene_reaction_rule":"GW101-3H11_contig_1_2876 and (GW101-3H11_contig_1_2879 or GW101-3H11_contig_1_2960)", "notes":{ "modelseed_complex":"tcpx00603" }, @@ -31045,7 +31004,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -31233,7 +31192,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -31251,7 +31210,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_854 or GW101-3H11_contig_1_2275", +"gene_reaction_rule":"GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_854", "notes":{ "modelseed_complex":"cpx00104" }, @@ -31436,7 +31395,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1697 and (GW101-3H11_contig_1_3655 or GW101-3H11_contig_1_3854 or GW101-3H11_contig_1_3342) and (GW101-3H11_contig_1_1695 or GW101-3H11_contig_1_3656) and (GW101-3H11_contig_1_1690 or GW101-3H11_contig_1_2720 or GW101-3H11_contig_1_4434) and (GW101-3H11_contig_1_3857 or GW101-3H11_contig_1_3658) and GW101-3H11_contig_1_3855 and GW101-3H11_contig_1_3856", +"gene_reaction_rule":"GW101-3H11_contig_1_1697 and (GW101-3H11_contig_1_3854 or GW101-3H11_contig_1_3342 or GW101-3H11_contig_1_3655) and (GW101-3H11_contig_1_3656 or GW101-3H11_contig_1_1695) and (GW101-3H11_contig_1_4434 or GW101-3H11_contig_1_2720 or GW101-3H11_contig_1_1690) and (GW101-3H11_contig_1_3857 or GW101-3H11_contig_1_3658) and GW101-3H11_contig_1_3855 and GW101-3H11_contig_1_3856", "notes":{ "modelseed_complex":"tcpx00606" }, @@ -31559,7 +31518,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3740 or GW101-3H11_contig_1_4247) or GW101-3H11_contig_1_777", +"gene_reaction_rule":"GW101-3H11_contig_1_777 or (GW101-3H11_contig_1_4247 or GW101-3H11_contig_1_3740)", "notes":{ "modelseed_complex":"cpx00289;tcpx00137" }, @@ -31578,7 +31537,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2981 or GW101-3H11_contig_1_2071", +"gene_reaction_rule":"GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2071 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_2981", "notes":{ "modelseed_complex":"cpx00206" }, @@ -31598,7 +31557,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970 or GW101-3H11_contig_1_4198) or GW101-3H11_contig_1_3089 or GW101-3H11_contig_1_1806", +"gene_reaction_rule":"(GW101-3H11_contig_1_4198 or GW101-3H11_contig_1_1865 or GW101-3H11_contig_1_970) or GW101-3H11_contig_1_1806 or GW101-3H11_contig_1_3089", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -31619,7 +31578,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -31765,7 +31724,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1055 and (GW101-3H11_contig_1_4025 or GW101-3H11_contig_1_741 or GW101-3H11_contig_1_1054 or GW101-3H11_contig_1_2299 or GW101-3H11_contig_1_2290)", +"gene_reaction_rule":"GW101-3H11_contig_1_1055 and (GW101-3H11_contig_1_2290 or GW101-3H11_contig_1_4025 or GW101-3H11_contig_1_2299 or GW101-3H11_contig_1_741 or GW101-3H11_contig_1_1054)", "notes":{ "modelseed_complex":"cpx00780" }, @@ -32154,7 +32113,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1043 or GW101-3H11_contig_1_3789 or GW101-3H11_contig_1_2488", +"gene_reaction_rule":"GW101-3H11_contig_1_1043 or GW101-3H11_contig_1_2488 or GW101-3H11_contig_1_3789", "notes":{ "modelseed_complex":"cpx00249" }, @@ -32258,7 +32217,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -32468,7 +32427,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_585 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_850) or GW101-3H11_contig_1_4314 or (GW101-3H11_contig_1_3873 or GW101-3H11_contig_1_2073)", +"gene_reaction_rule":"(GW101-3H11_contig_1_585 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_850) or GW101-3H11_contig_1_4314 or (GW101-3H11_contig_1_3873 or GW101-3H11_contig_1_2073)", "notes":{ "modelseed_complex":"tcpx00049;tcpx00054;tcpx00282" }, @@ -32592,7 +32551,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_3051 or GW101-3H11_contig_1_4829", +"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_4829 or GW101-3H11_contig_1_3051", "notes":{ "modelseed_complex":"cpx00145" }, @@ -32659,7 +32618,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_585 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_850) or GW101-3H11_contig_1_4314 or (GW101-3H11_contig_1_3873 or GW101-3H11_contig_1_2073)", +"gene_reaction_rule":"(GW101-3H11_contig_1_585 or GW101-3H11_contig_1_2070 or GW101-3H11_contig_1_2284 or GW101-3H11_contig_1_856 or GW101-3H11_contig_1_2984 or GW101-3H11_contig_1_4899 or GW101-3H11_contig_1_850) or GW101-3H11_contig_1_4314 or (GW101-3H11_contig_1_3873 or GW101-3H11_contig_1_2073)", "notes":{ "modelseed_complex":"tcpx00049;tcpx00054;tcpx00282" }, @@ -32701,7 +32660,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -32794,28 +32753,6 @@ } }, { -"id":"rxn11937_c0", -"name":"Nitrogen:(NAD) oxidoreductase (N2O-forming) [c0]", -"metabolites":{ -"cpd00001_c0":-1, -"cpd00003_c0":-1, -"cpd00004_c0":1, -"cpd00067_c0":1, -"cpd00528_e0":-1, -"cpd00659_e0":1 -}, -"lower_bound":-1000, -"upper_bound":0, -"gene_reaction_rule":"GW101-3H11_contig_1_1394", -"notes":{ -"modelseed_complex":"cpx01119" -}, -"annotation":{ -"sbo":"SBO:0000176", -"seed.reaction":"rxn11937" -} -}, -{ "id":"rxn08335_c0", "name":"(S)-dihydroorotate:quinone oxidoreductase [c0]", "metabolites":{ @@ -32930,7 +32867,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -32953,7 +32890,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1697 and (GW101-3H11_contig_1_3655 or GW101-3H11_contig_1_3854 or GW101-3H11_contig_1_3342) and (GW101-3H11_contig_1_1695 or GW101-3H11_contig_1_3656) and (GW101-3H11_contig_1_1690 or GW101-3H11_contig_1_2720 or GW101-3H11_contig_1_4434) and (GW101-3H11_contig_1_3857 or GW101-3H11_contig_1_3658) and GW101-3H11_contig_1_3855 and GW101-3H11_contig_1_3856", +"gene_reaction_rule":"GW101-3H11_contig_1_1697 and (GW101-3H11_contig_1_3854 or GW101-3H11_contig_1_3342 or GW101-3H11_contig_1_3655) and (GW101-3H11_contig_1_3656 or GW101-3H11_contig_1_1695) and (GW101-3H11_contig_1_4434 or GW101-3H11_contig_1_2720 or GW101-3H11_contig_1_1690) and (GW101-3H11_contig_1_3857 or GW101-3H11_contig_1_3658) and GW101-3H11_contig_1_3855 and GW101-3H11_contig_1_3856", "notes":{ "modelseed_complex":"tcpx00606" }, @@ -33014,7 +32951,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2981 or GW101-3H11_contig_1_2071", +"gene_reaction_rule":"GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2071 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_2981", "notes":{ "modelseed_complex":"cpx00206" }, @@ -33123,7 +33060,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3741 or GW101-3H11_contig_1_4456", +"gene_reaction_rule":"GW101-3H11_contig_1_4456 or GW101-3H11_contig_1_3741", "notes":{ "modelseed_complex":"cpx52483;tcpx00355" }, @@ -33265,7 +33202,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3018 or GW101-3H11_contig_1_189", +"gene_reaction_rule":"GW101-3H11_contig_1_189 or GW101-3H11_contig_1_3018", "notes":{ "modelseed_complex":"cpx00192" }, @@ -33365,7 +33302,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2981 or GW101-3H11_contig_1_2071", +"gene_reaction_rule":"GW101-3H11_contig_1_586 or GW101-3H11_contig_1_2016 or GW101-3H11_contig_1_2275 or GW101-3H11_contig_1_3293 or GW101-3H11_contig_1_2980 or GW101-3H11_contig_1_841 or GW101-3H11_contig_1_2071 or GW101-3H11_contig_1_1715 or GW101-3H11_contig_1_71 or GW101-3H11_contig_1_863 or GW101-3H11_contig_1_689 or GW101-3H11_contig_1_303 or GW101-3H11_contig_1_2375 or GW101-3H11_contig_1_2981", "notes":{ "modelseed_complex":"cpx00206" }, @@ -33387,7 +33324,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"GW101-3H11_contig_1_1011 or GW101-3H11_contig_1_4749", +"gene_reaction_rule":"GW101-3H11_contig_1_4749 or GW101-3H11_contig_1_1011", "notes":{ "modelseed_complex":"cpx01512" }, @@ -33578,7 +33515,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_1353 or GW101-3H11_contig_1_3522 or GW101-3H11_contig_1_3209 or GW101-3H11_contig_1_2669 or GW101-3H11_contig_1_3765 or GW101-3H11_contig_1_4063 or GW101-3H11_contig_1_28 or GW101-3H11_contig_1_2397", +"gene_reaction_rule":"GW101-3H11_contig_1_2669 or GW101-3H11_contig_1_3522 or GW101-3H11_contig_1_3209 or GW101-3H11_contig_1_1353 or GW101-3H11_contig_1_3765 or GW101-3H11_contig_1_4063 or GW101-3H11_contig_1_2397 or GW101-3H11_contig_1_28", "notes":{ "modelseed_complex":"cpx00571" }, @@ -33724,7 +33661,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4192 or GW101-3H11_contig_1_3120", +"gene_reaction_rule":"GW101-3H11_contig_1_3120 or GW101-3H11_contig_1_4192", "notes":{ "modelseed_complex":"cpx00209" }, @@ -33785,7 +33722,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4163 or (GW101-3H11_contig_1_2204 or GW101-3H11_contig_1_3571)", +"gene_reaction_rule":"GW101-3H11_contig_1_4163 or (GW101-3H11_contig_1_3571 or GW101-3H11_contig_1_2204)", "notes":{ "modelseed_complex":"tcpx00319;tcpx00320" }, @@ -33848,7 +33785,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -33992,7 +33929,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -34133,7 +34070,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3114 or GW101-3H11_contig_1_776", +"gene_reaction_rule":"GW101-3H11_contig_1_776 or GW101-3H11_contig_1_3114", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -34153,7 +34090,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"(GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_855 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276) or GW101-3H11_contig_1_838", +"gene_reaction_rule":"GW101-3H11_contig_1_838 or (GW101-3H11_contig_1_4316 or GW101-3H11_contig_1_2022 or GW101-3H11_contig_1_2276 or GW101-3H11_contig_1_2049 or GW101-3H11_contig_1_304 or GW101-3H11_contig_1_305 or GW101-3H11_contig_1_2849 or GW101-3H11_contig_1_855)", "notes":{ "modelseed_complex":"cpx00454;tcpx00072" }, @@ -34195,7 +34132,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4192 or GW101-3H11_contig_1_3120", +"gene_reaction_rule":"GW101-3H11_contig_1_3120 or GW101-3H11_contig_1_4192", "notes":{ "modelseed_complex":"cpx00209" }, @@ -34382,7 +34319,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3366 or GW101-3H11_contig_1_3009) or GW101-3H11_contig_1_2402 or GW101-3H11_contig_1_2166", +"gene_reaction_rule":"GW101-3H11_contig_1_2166 or (GW101-3H11_contig_1_3009 or GW101-3H11_contig_1_3366) or GW101-3H11_contig_1_2402", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048" }, @@ -34529,7 +34466,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_1635 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_3356", +"gene_reaction_rule":"GW101-3H11_contig_1_4633 or GW101-3H11_contig_1_3356 or GW101-3H11_contig_1_4929 or GW101-3H11_contig_1_1635", "notes":{ "modelseed_complex":"cpx00034" }, @@ -34551,7 +34488,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_3348 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_4642", +"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_4642 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3348", "notes":{ "modelseed_complex":"cpx00498" }, @@ -34593,7 +34530,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3018 or GW101-3H11_contig_1_189", +"gene_reaction_rule":"GW101-3H11_contig_1_189 or GW101-3H11_contig_1_3018", "notes":{ "modelseed_complex":"cpx00192" }, @@ -34634,7 +34571,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3005 or GW101-3H11_contig_1_1611 or GW101-3H11_contig_1_4395 or GW101-3H11_contig_1_4386 or GW101-3H11_contig_1_4529", +"gene_reaction_rule":"GW101-3H11_contig_1_4386 or GW101-3H11_contig_1_4529 or GW101-3H11_contig_1_4395 or GW101-3H11_contig_1_1611 or GW101-3H11_contig_1_3005", "notes":{ "modelseed_complex":"cpx00318" }, @@ -34843,7 +34780,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_3051 or GW101-3H11_contig_1_4829", +"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_4829 or GW101-3H11_contig_1_3051", "notes":{ "modelseed_complex":"cpx00145" }, @@ -34864,7 +34801,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2970 or GW101-3H11_contig_1_3862 or GW101-3H11_contig_1_2916", +"gene_reaction_rule":"GW101-3H11_contig_1_2970 or GW101-3H11_contig_1_2916 or GW101-3H11_contig_1_3862", "notes":{ "modelseed_complex":"cpx01676" }, @@ -34884,7 +34821,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_882 or GW101-3H11_contig_1_4931 or GW101-3H11_contig_1_2171 or GW101-3H11_contig_1_4514) or GW101-3H11_contig_1_2504", +"gene_reaction_rule":"(GW101-3H11_contig_1_4514 or GW101-3H11_contig_1_882 or GW101-3H11_contig_1_4931 or GW101-3H11_contig_1_2171) or GW101-3H11_contig_1_2504", "notes":{ "modelseed_complex":"cpx00713;tcpx01105" }, @@ -34925,7 +34862,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3740 or GW101-3H11_contig_1_4247) or GW101-3H11_contig_1_777", +"gene_reaction_rule":"GW101-3H11_contig_1_777 or (GW101-3H11_contig_1_4247 or GW101-3H11_contig_1_3740)", "notes":{ "modelseed_complex":"cpx00289;tcpx00137" }, @@ -35011,7 +34948,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_3348 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_4642", +"gene_reaction_rule":"GW101-3H11_contig_1_2856 or GW101-3H11_contig_1_4642 or GW101-3H11_contig_1_267 or GW101-3H11_contig_1_2029 or GW101-3H11_contig_1_666 or GW101-3H11_contig_1_2027 or GW101-3H11_contig_1_3292 or GW101-3H11_contig_1_11 or GW101-3H11_contig_1_187 or GW101-3H11_contig_1_2520 or GW101-3H11_contig_1_72 or GW101-3H11_contig_1_4208 or GW101-3H11_contig_1_858 or GW101-3H11_contig_1_2043 or GW101-3H11_contig_1_760 or GW101-3H11_contig_1_506 or GW101-3H11_contig_1_3348", "notes":{ "modelseed_complex":"cpx00498" }, @@ -35093,7 +35030,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2669 or GW101-3H11_contig_1_1074 or GW101-3H11_contig_1_2669 or (GW101-3H11_contig_1_1353 or GW101-3H11_contig_1_3522 or GW101-3H11_contig_1_3209 or GW101-3H11_contig_1_2669 or GW101-3H11_contig_1_3765 or GW101-3H11_contig_1_4063 or GW101-3H11_contig_1_28 or GW101-3H11_contig_1_2397)", +"gene_reaction_rule":"GW101-3H11_contig_1_1074 or GW101-3H11_contig_1_2669 or (GW101-3H11_contig_1_2669 or GW101-3H11_contig_1_3522 or GW101-3H11_contig_1_3209 or GW101-3H11_contig_1_1353 or GW101-3H11_contig_1_3765 or GW101-3H11_contig_1_4063 or GW101-3H11_contig_1_2397 or GW101-3H11_contig_1_28) or GW101-3H11_contig_1_2669", "notes":{ "modelseed_complex":"cpx00571;cpx00578;cpx01690;tcpx01256" }, @@ -35132,7 +35069,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2549 or GW101-3H11_contig_1_2908 or GW101-3H11_contig_1_2366", +"gene_reaction_rule":"GW101-3H11_contig_1_2549 or GW101-3H11_contig_1_2366 or GW101-3H11_contig_1_2908", "notes":{ "modelseed_complex":"cpx00337" }, @@ -35325,7 +35262,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_158 or GW101-3H11_contig_1_3263 or GW101-3H11_contig_1_158", +"gene_reaction_rule":"GW101-3H11_contig_1_158 or GW101-3H11_contig_1_158 or GW101-3H11_contig_1_3263", "notes":{ "modelseed_complex":"cpx00910;cpx52754;cpx52755" }, @@ -35384,7 +35321,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_3740 or GW101-3H11_contig_1_4247) or GW101-3H11_contig_1_777", +"gene_reaction_rule":"GW101-3H11_contig_1_777 or (GW101-3H11_contig_1_4247 or GW101-3H11_contig_1_3740)", "notes":{ "modelseed_complex":"cpx00289;tcpx00137" }, @@ -35469,7 +35406,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_2647 or GW101-3H11_contig_1_3417) and GW101-3H11_contig_1_2645 and (GW101-3H11_contig_1_2646 or GW101-3H11_contig_1_2404)", +"gene_reaction_rule":"(GW101-3H11_contig_1_2647 or GW101-3H11_contig_1_3417) and GW101-3H11_contig_1_2645 and (GW101-3H11_contig_1_2404 or GW101-3H11_contig_1_2646)", "notes":{ "modelseed_complex":"tcpx00471" }, @@ -35489,7 +35426,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3263 or GW101-3H11_contig_1_158", +"gene_reaction_rule":"GW101-3H11_contig_1_158 or GW101-3H11_contig_1_3263", "notes":{ "modelseed_complex":"cpx00910;cpx52754" }, @@ -35510,7 +35447,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_4408 or GW101-3H11_contig_1_1861 or GW101-3H11_contig_1_4407 or GW101-3H11_contig_1_2349 or GW101-3H11_contig_1_2999", +"gene_reaction_rule":"GW101-3H11_contig_1_4407 or GW101-3H11_contig_1_4408 or GW101-3H11_contig_1_1861 or GW101-3H11_contig_1_2349 or GW101-3H11_contig_1_2999", "notes":{ "modelseed_complex":"tcpx00353" }, @@ -35530,7 +35467,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_882 or GW101-3H11_contig_1_4931 or GW101-3H11_contig_1_2171 or GW101-3H11_contig_1_4514", +"gene_reaction_rule":"GW101-3H11_contig_1_4514 or GW101-3H11_contig_1_882 or GW101-3H11_contig_1_4931 or GW101-3H11_contig_1_2171", "notes":{ "modelseed_complex":"tcpx01348" }, @@ -35599,28 +35536,6 @@ } }, { -"id":"rxn14427_c0", -"name":"Nitrate reductase cytochrome-c type (2 protons translocated) [c0]", -"metabolites":{ -"cpd00001_c0":1, -"cpd00067_e0":-3, -"cpd00075_c0":1, -"cpd00109_c0":1, -"cpd00110_c0":-1, -"cpd00209_c0":-1 -}, -"lower_bound":0, -"upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_521 and GW101-3H11_contig_1_523 and GW101-3H11_contig_1_522 and GW101-3H11_contig_1_1670 and GW101-3H11_contig_1_520", -"notes":{ -"modelseed_complex":"tcpx00695" -}, -"annotation":{ -"sbo":"SBO:0000176", -"seed.reaction":"rxn14427" -} -}, -{ "id":"rxn14422_c0", "name":"cytochrome-bd oxidase (2 protons translocated) [c0]", "metabolites":{ @@ -35960,7 +35875,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_518 or GW101-3H11_contig_1_519 or GW101-3H11_contig_1_4699", +"gene_reaction_rule":"GW101-3H11_contig_1_519 or GW101-3H11_contig_1_4699 or GW101-3H11_contig_1_518", "notes":{ "modelseed_complex":"cpx01645;tcpx00608;tcpx00611" }, @@ -36565,7 +36480,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2778 or GW101-3H11_contig_1_616 or GW101-3H11_contig_1_638 or GW101-3H11_contig_1_82 or GW101-3H11_contig_1_2761", +"gene_reaction_rule":"GW101-3H11_contig_1_2778 or GW101-3H11_contig_1_638 or GW101-3H11_contig_1_616 or GW101-3H11_contig_1_82 or GW101-3H11_contig_1_2761", "notes":{ "modelseed_complex":"cpx01488" }, @@ -36737,7 +36652,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_3051 or GW101-3H11_contig_1_4829", +"gene_reaction_rule":"GW101-3H11_contig_1_3636 or GW101-3H11_contig_1_4829 or GW101-3H11_contig_1_3051", "notes":{ "modelseed_complex":"cpx00145" }, @@ -36792,7 +36707,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_3301 or GW101-3H11_contig_1_3302", +"gene_reaction_rule":"GW101-3H11_contig_1_3302 or GW101-3H11_contig_1_3301", "notes":{ "modelseed_complex":"cpx00562" }, @@ -36813,7 +36728,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_2970 or GW101-3H11_contig_1_3862 or GW101-3H11_contig_1_2916", +"gene_reaction_rule":"GW101-3H11_contig_1_2970 or GW101-3H11_contig_1_2916 or GW101-3H11_contig_1_3862", "notes":{ "modelseed_complex":"cpx01676" }, @@ -37174,7 +37089,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"GW101-3H11_contig_1_273 and (GW101-3H11_contig_1_4683 or GW101-3H11_contig_1_4145 or GW101-3H11_contig_1_1320)", +"gene_reaction_rule":"GW101-3H11_contig_1_273 and (GW101-3H11_contig_1_1320 or GW101-3H11_contig_1_4683 or GW101-3H11_contig_1_4145)", "notes":{ "modelseed_complex":"tcpx01180" }, @@ -37214,7 +37129,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(GW101-3H11_contig_1_4911 or GW101-3H11_contig_1_2555) and GW101-3H11_contig_1_2666", +"gene_reaction_rule":"(GW101-3H11_contig_1_2555 or GW101-3H11_contig_1_4911) and GW101-3H11_contig_1_2666", "notes":{ "modelseed_complex":"tcpx01188" }, @@ -37251,11 +37166,10 @@ "name":"Nor [c0]", "metabolites":{ "cpd00001_e0":1, -"cpd00067_e0":-2, "cpd00418_e0":-2, "cpd00659_e0":1, -"cpd12711_c0":2, -"cpd12712_c0":-2 +"cpd15560_c0":1, +"cpd15561_c0":-1 }, "lower_bound":0, "upper_bound":1000, @@ -38746,20 +38660,6 @@ } }, { -"id":"EX_cpd00528_e0", -"name":"Exchange for N2 [e0]", -"metabolites":{ -"cpd00528_e0":-1 -}, -"lower_bound":-0.0, -"upper_bound":1000, -"gene_reaction_rule":"", -"subsystem":"exchanges", -"annotation":{ -"sbo":"SBO:0000627" -} -}, -{ "id":"EX_cpd00156_e0", "name":"Exchange for L-Valine [e0]", "metabolites":{ @@ -38984,6 +38884,20 @@ } }, { +"id":"EX_cpd00528_e0", +"name":"Exchange for N2 [e0]", +"metabolites":{ +"cpd00528_e0":-1 +}, +"lower_bound":-0.0, +"upper_bound":1000, +"gene_reaction_rule":"", +"subsystem":"exchanges", +"annotation":{ +"sbo":"SBO:0000627" +} +}, +{ "id":"EX_cpd00324_e0", "name":"Exchange for MTTL [e0]", "metabolites":{ @@ -39534,6 +39448,23 @@ } }, { +"id":"rxn05119_c0", +"name":"L-aspartate:NAD+ oxidoreductase (deaminating) [c0]", +"metabolites":{ +"cpd00003_c0":-1, +"cpd00004_c0":1, +"cpd00041_c0":-1, +"cpd00067_c0":2, +"cpd03470_c0":1 +}, +"lower_bound":0, +"upper_bound":1000, +"gene_reaction_rule":"", +"annotation":{ +"seed.reaction":"rxn05119" +} +}, +{ "id":"rxn00137_c0", "name":"Adenosine 3',5'-bisphosphate 3'-phosphohydrolase [c0]", "metabolites":{ @@ -39711,23 +39642,6 @@ } }, { -"id":"rxn05117_c0", -"name":"L-aspartate:NADP+ oxidoreductase (deaminating) [c0]", -"metabolites":{ -"cpd00005_c0":1, -"cpd00006_c0":-1, -"cpd00041_c0":-1, -"cpd00067_c0":2, -"cpd03470_c0":1 -}, -"lower_bound":0, -"upper_bound":1000, -"gene_reaction_rule":"", -"annotation":{ -"seed.reaction":"rxn05117" -} -}, -{ "id":"rxn02056_c0", "name":"S-Adenosyl-L-methionine:uroporphyrin-III C-methyltransferase [c0]", "metabolites":{ @@ -39933,11 +39847,11 @@ ], "genes":[ { -"id":"GW101-3H11_contig_1_3100", +"id":"GW101-3H11_contig_1_1449", "name":"" }, { -"id":"GW101-3H11_contig_1_1449", +"id":"GW101-3H11_contig_1_3100", "name":"" }, { @@ -39945,11 +39859,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1642", +"id":"GW101-3H11_contig_1_4914", "name":"" }, { -"id":"GW101-3H11_contig_1_4914", +"id":"GW101-3H11_contig_1_1642", "name":"" }, { @@ -39965,27 +39879,27 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_989", +"id":"GW101-3H11_contig_1_1344", "name":"" }, { -"id":"GW101-3H11_contig_1_4102", +"id":"GW101-3H11_contig_1_989", "name":"" }, { -"id":"GW101-3H11_contig_1_1518", +"id":"GW101-3H11_contig_1_4579", "name":"" }, { -"id":"GW101-3H11_contig_1_4579", +"id":"GW101-3H11_contig_1_2727", "name":"" }, { -"id":"GW101-3H11_contig_1_1344", +"id":"GW101-3H11_contig_1_1518", "name":"" }, { -"id":"GW101-3H11_contig_1_2727", +"id":"GW101-3H11_contig_1_4102", "name":"" }, { @@ -39997,47 +39911,47 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_666", +"id":"GW101-3H11_contig_1_2856", "name":"" }, { -"id":"GW101-3H11_contig_1_2856", +"id":"GW101-3H11_contig_1_4642", "name":"" }, { -"id":"GW101-3H11_contig_1_2029", +"id":"GW101-3H11_contig_1_3348", "name":"" }, { -"id":"GW101-3H11_contig_1_4208", +"id":"GW101-3H11_contig_1_267", "name":"" }, { -"id":"GW101-3H11_contig_1_2043", +"id":"GW101-3H11_contig_1_2029", "name":"" }, { -"id":"GW101-3H11_contig_1_187", +"id":"GW101-3H11_contig_1_666", "name":"" }, { -"id":"GW101-3H11_contig_1_3348", +"id":"GW101-3H11_contig_1_2027", "name":"" }, { -"id":"GW101-3H11_contig_1_760", +"id":"GW101-3H11_contig_1_3292", "name":"" }, { -"id":"GW101-3H11_contig_1_267", +"id":"GW101-3H11_contig_1_11", "name":"" }, { -"id":"GW101-3H11_contig_1_2520", +"id":"GW101-3H11_contig_1_187", "name":"" }, { -"id":"GW101-3H11_contig_1_2027", +"id":"GW101-3H11_contig_1_2520", "name":"" }, { @@ -40045,7 +39959,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3292", +"id":"GW101-3H11_contig_1_4208", "name":"" }, { @@ -40053,7 +39967,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_11", +"id":"GW101-3H11_contig_1_760", "name":"" }, { @@ -40061,15 +39975,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4642", +"id":"GW101-3H11_contig_1_2043", "name":"" }, { -"id":"GW101-3H11_contig_1_4597", +"id":"GW101-3H11_contig_1_1776", "name":"" }, { -"id":"GW101-3H11_contig_1_1776", +"id":"GW101-3H11_contig_1_4597", "name":"" }, { @@ -40081,19 +39995,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1675", +"id":"GW101-3H11_contig_1_519", "name":"" }, { -"id":"GW101-3H11_contig_1_4699", +"id":"GW101-3H11_contig_1_518", "name":"" }, { -"id":"GW101-3H11_contig_1_518", +"id":"GW101-3H11_contig_1_4699", "name":"" }, { -"id":"GW101-3H11_contig_1_519", +"id":"GW101-3H11_contig_1_1675", "name":"" }, { @@ -40125,15 +40039,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_854", +"id":"GW101-3H11_contig_1_2275", "name":"" }, { -"id":"GW101-3H11_contig_1_2275", +"id":"GW101-3H11_contig_1_836", "name":"" }, { -"id":"GW101-3H11_contig_1_836", +"id":"GW101-3H11_contig_1_854", "name":"" }, { @@ -40169,19 +40083,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_130", +"id":"GW101-3H11_contig_1_2422", "name":"" }, { -"id":"GW101-3H11_contig_1_2422", +"id":"GW101-3H11_contig_1_130", "name":"" }, { -"id":"GW101-3H11_contig_1_3018", +"id":"GW101-3H11_contig_1_189", "name":"" }, { -"id":"GW101-3H11_contig_1_189", +"id":"GW101-3H11_contig_1_3018", "name":"" }, { @@ -40193,11 +40107,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3366", +"id":"GW101-3H11_contig_1_3009", "name":"" }, { -"id":"GW101-3H11_contig_1_3009", +"id":"GW101-3H11_contig_1_3366", "name":"" }, { @@ -40205,11 +40119,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2968", +"id":"GW101-3H11_contig_1_2967", "name":"" }, { -"id":"GW101-3H11_contig_1_2967", +"id":"GW101-3H11_contig_1_2968", "name":"" }, { @@ -40233,7 +40147,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4862", +"id":"GW101-3H11_contig_1_3632", "name":"" }, { @@ -40241,55 +40155,59 @@ "name":"" }, { +"id":"GW101-3H11_contig_1_4862", +"name":"" +}, +{ "id":"GW101-3H11_contig_1_2867", "name":"" }, { -"id":"GW101-3H11_contig_1_3632", +"id":"GW101-3H11_contig_1_2005", "name":"" }, { -"id":"GW101-3H11_contig_1_3519", +"id":"GW101-3H11_contig_1_1705", "name":"" }, { -"id":"GW101-3H11_contig_1_2893", +"id":"GW101-3H11_contig_1_4077", "name":"" }, { -"id":"GW101-3H11_contig_1_1842", +"id":"GW101-3H11_contig_1_1100", "name":"" }, { -"id":"GW101-3H11_contig_1_2471", +"id":"GW101-3H11_contig_1_2893", "name":"" }, { -"id":"GW101-3H11_contig_1_2005", +"id":"GW101-3H11_contig_1_1842", "name":"" }, { -"id":"GW101-3H11_contig_1_4077", +"id":"GW101-3H11_contig_1_3519", "name":"" }, { -"id":"GW101-3H11_contig_1_1100", +"id":"GW101-3H11_contig_1_2471", "name":"" }, { -"id":"GW101-3H11_contig_1_1705", +"id":"GW101-3H11_contig_1_4198", "name":"" }, { -"id":"GW101-3H11_contig_1_1806", +"id":"GW101-3H11_contig_1_1865", "name":"" }, { -"id":"GW101-3H11_contig_1_970", +"id":"GW101-3H11_contig_1_1806", "name":"" }, { -"id":"GW101-3H11_contig_1_1865", +"id":"GW101-3H11_contig_1_970", "name":"" }, { @@ -40297,7 +40215,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4198", +"id":"GW101-3H11_contig_1_2735", "name":"" }, { @@ -40305,7 +40223,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2735", +"id":"GW101-3H11_contig_1_294", "name":"" }, { @@ -40313,10 +40231,6 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_294", -"name":"" -}, -{ "id":"GW101-3H11_contig_1_1852", "name":"" }, @@ -40325,7 +40239,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1635", +"id":"GW101-3H11_contig_1_3356", "name":"" }, { @@ -40333,7 +40247,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3356", +"id":"GW101-3H11_contig_1_1635", "name":"" }, { @@ -40353,11 +40267,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_616", +"id":"GW101-3H11_contig_1_638", "name":"" }, { -"id":"GW101-3H11_contig_1_638", +"id":"GW101-3H11_contig_1_616", "name":"" }, { @@ -40369,11 +40283,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3628", +"id":"GW101-3H11_contig_1_1152", "name":"" }, { -"id":"GW101-3H11_contig_1_1152", +"id":"GW101-3H11_contig_1_3628", "name":"" }, { @@ -40409,15 +40323,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1747", -"name":"" -}, -{ -"id":"GW101-3H11_contig_1_1748", +"id":"GW101-3H11_contig_1_222", "name":"" }, { -"id":"GW101-3H11_contig_1_222", +"id":"GW101-3H11_contig_1_4120", "name":"" }, { @@ -40425,7 +40335,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4120", +"id":"GW101-3H11_contig_1_3120", "name":"" }, { @@ -40433,7 +40343,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3120", +"id":"GW101-3H11_contig_1_3302", "name":"" }, { @@ -40441,10 +40351,6 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3302", -"name":"" -}, -{ "id":"GW101-3H11_contig_1_3114", "name":"" }, @@ -40461,11 +40367,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1318", +"id":"GW101-3H11_contig_1_2364", "name":"" }, { -"id":"GW101-3H11_contig_1_2364", +"id":"GW101-3H11_contig_1_1318", "name":"" }, { @@ -40489,31 +40395,31 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2371", +"id":"GW101-3H11_contig_1_4641", "name":"" }, { -"id":"GW101-3H11_contig_1_4641", +"id":"GW101-3H11_contig_1_2371", "name":"" }, { -"id":"GW101-3H11_contig_1_3931", +"id":"GW101-3H11_contig_1_958", "name":"" }, { -"id":"GW101-3H11_contig_1_4396", +"id":"GW101-3H11_contig_1_214", "name":"" }, { -"id":"GW101-3H11_contig_1_3326", +"id":"GW101-3H11_contig_1_4396", "name":"" }, { -"id":"GW101-3H11_contig_1_214", +"id":"GW101-3H11_contig_1_3326", "name":"" }, { -"id":"GW101-3H11_contig_1_958", +"id":"GW101-3H11_contig_1_3931", "name":"" }, { @@ -40529,7 +40435,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_415", +"id":"GW101-3H11_contig_1_3016", "name":"" }, { @@ -40537,7 +40443,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3016", +"id":"GW101-3H11_contig_1_415", "name":"" }, { @@ -40557,11 +40463,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3646", +"id":"GW101-3H11_contig_1_337", "name":"" }, { -"id":"GW101-3H11_contig_1_337", +"id":"GW101-3H11_contig_1_3646", "name":"" }, { @@ -40581,11 +40487,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1368", +"id":"GW101-3H11_contig_1_1369", "name":"" }, { -"id":"GW101-3H11_contig_1_1369", +"id":"GW101-3H11_contig_1_1368", "name":"" }, { @@ -40633,7 +40539,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3740", +"id":"GW101-3H11_contig_1_4247", "name":"" }, { @@ -40641,7 +40547,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4247", +"id":"GW101-3H11_contig_1_3740", "name":"" }, { @@ -40649,39 +40555,39 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2049", +"id":"GW101-3H11_contig_1_4316", "name":"" }, { -"id":"GW101-3H11_contig_1_4316", +"id":"GW101-3H11_contig_1_838", "name":"" }, { -"id":"GW101-3H11_contig_1_304", +"id":"GW101-3H11_contig_1_2022", "name":"" }, { -"id":"GW101-3H11_contig_1_305", +"id":"GW101-3H11_contig_1_2276", "name":"" }, { -"id":"GW101-3H11_contig_1_855", +"id":"GW101-3H11_contig_1_2049", "name":"" }, { -"id":"GW101-3H11_contig_1_2849", +"id":"GW101-3H11_contig_1_304", "name":"" }, { -"id":"GW101-3H11_contig_1_2276", +"id":"GW101-3H11_contig_1_305", "name":"" }, { -"id":"GW101-3H11_contig_1_2022", +"id":"GW101-3H11_contig_1_2849", "name":"" }, { -"id":"GW101-3H11_contig_1_838", +"id":"GW101-3H11_contig_1_855", "name":"" }, { @@ -40717,19 +40623,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_61", +"id":"GW101-3H11_contig_1_3017", "name":"" }, { -"id":"GW101-3H11_contig_1_3017", +"id":"GW101-3H11_contig_1_61", "name":"" }, { -"id":"GW101-3H11_contig_1_4171", +"id":"GW101-3H11_contig_1_4170", "name":"" }, { -"id":"GW101-3H11_contig_1_4170", +"id":"GW101-3H11_contig_1_4171", "name":"" }, { @@ -40749,31 +40655,31 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4314", +"id":"GW101-3H11_contig_1_2284", "name":"" }, { -"id":"GW101-3H11_contig_1_2984", +"id":"GW101-3H11_contig_1_4314", "name":"" }, { -"id":"GW101-3H11_contig_1_2070", +"id":"GW101-3H11_contig_1_2984", "name":"" }, { -"id":"GW101-3H11_contig_1_2073", +"id":"GW101-3H11_contig_1_3873", "name":"" }, { -"id":"GW101-3H11_contig_1_3873", +"id":"GW101-3H11_contig_1_585", "name":"" }, { -"id":"GW101-3H11_contig_1_2284", +"id":"GW101-3H11_contig_1_2070", "name":"" }, { -"id":"GW101-3H11_contig_1_585", +"id":"GW101-3H11_contig_1_2073", "name":"" }, { @@ -40801,19 +40707,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1671", +"id":"GW101-3H11_contig_1_2162", "name":"" }, { -"id":"GW101-3H11_contig_1_2162", +"id":"GW101-3H11_contig_1_2163", "name":"" }, { -"id":"GW101-3H11_contig_1_1673", +"id":"GW101-3H11_contig_1_1671", "name":"" }, { -"id":"GW101-3H11_contig_1_2163", +"id":"GW101-3H11_contig_1_1673", "name":"" }, { @@ -40821,7 +40727,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2757", +"id":"GW101-3H11_contig_1_2759", "name":"" }, { @@ -40829,15 +40735,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2759", +"id":"GW101-3H11_contig_1_640", "name":"" }, { -"id":"GW101-3H11_contig_1_641", +"id":"GW101-3H11_contig_1_2757", "name":"" }, { -"id":"GW101-3H11_contig_1_640", +"id":"GW101-3H11_contig_1_641", "name":"" }, { @@ -40893,15 +40799,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1127", +"id":"GW101-3H11_contig_1_1129", "name":"" }, { -"id":"GW101-3H11_contig_1_1129", +"id":"GW101-3H11_contig_1_1126", "name":"" }, { -"id":"GW101-3H11_contig_1_1126", +"id":"GW101-3H11_contig_1_1127", "name":"" }, { @@ -40925,11 +40831,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2526", +"id":"GW101-3H11_contig_1_2525", "name":"" }, { -"id":"GW101-3H11_contig_1_2525", +"id":"GW101-3H11_contig_1_2526", "name":"" }, { @@ -40945,15 +40851,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1291", -"name":"" -}, -{ -"id":"GW101-3H11_contig_1_1296", +"id":"GW101-3H11_contig_1_1293", "name":"" }, { -"id":"GW101-3H11_contig_1_1293", +"id":"GW101-3H11_contig_1_1291", "name":"" }, { @@ -40965,11 +40867,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_841", +"id":"GW101-3H11_contig_1_1296", "name":"" }, { -"id":"GW101-3H11_contig_1_689", +"id":"GW101-3H11_contig_1_1715", "name":"" }, { @@ -40977,19 +40879,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1715", +"id":"GW101-3H11_contig_1_3293", "name":"" }, { -"id":"GW101-3H11_contig_1_303", +"id":"GW101-3H11_contig_1_841", "name":"" }, { -"id":"GW101-3H11_contig_1_2071", +"id":"GW101-3H11_contig_1_689", "name":"" }, { -"id":"GW101-3H11_contig_1_3293", +"id":"GW101-3H11_contig_1_2071", "name":"" }, { @@ -40997,15 +40899,19 @@ "name":"" }, { +"id":"GW101-3H11_contig_1_863", +"name":"" +}, +{ "id":"GW101-3H11_contig_1_2016", "name":"" }, { -"id":"GW101-3H11_contig_1_2375", +"id":"GW101-3H11_contig_1_303", "name":"" }, { -"id":"GW101-3H11_contig_1_863", +"id":"GW101-3H11_contig_1_2375", "name":"" }, { @@ -41025,19 +40931,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1308", +"id":"GW101-3H11_contig_1_3672", "name":"" }, { -"id":"GW101-3H11_contig_1_3672", +"id":"GW101-3H11_contig_1_1308", "name":"" }, { -"id":"GW101-3H11_contig_1_3175", +"id":"GW101-3H11_contig_1_3465", "name":"" }, { -"id":"GW101-3H11_contig_1_3465", +"id":"GW101-3H11_contig_1_3175", "name":"" }, { @@ -41113,11 +41019,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1089", +"id":"GW101-3H11_contig_1_1153", "name":"" }, { -"id":"GW101-3H11_contig_1_1153", +"id":"GW101-3H11_contig_1_1089", "name":"" }, { @@ -41125,107 +41031,107 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1690", +"id":"GW101-3H11_contig_1_3655", "name":"" }, { -"id":"GW101-3H11_contig_1_2720", +"id":"GW101-3H11_contig_1_3343", "name":"" }, { -"id":"GW101-3H11_contig_1_4434", +"id":"GW101-3H11_contig_1_3656", "name":"" }, { -"id":"GW101-3H11_contig_1_282", +"id":"GW101-3H11_contig_1_74", "name":"" }, { -"id":"GW101-3H11_contig_1_661", +"id":"GW101-3H11_contig_1_3383", "name":"" }, { -"id":"GW101-3H11_contig_1_665", +"id":"GW101-3H11_contig_1_281", "name":"" }, { -"id":"GW101-3H11_contig_1_1694", +"id":"GW101-3H11_contig_1_3382", "name":"" }, { -"id":"GW101-3H11_contig_1_3658", +"id":"GW101-3H11_contig_1_661", "name":"" }, { -"id":"GW101-3H11_contig_1_3655", +"id":"GW101-3H11_contig_1_3342", "name":"" }, { -"id":"GW101-3H11_contig_1_3857", +"id":"GW101-3H11_contig_1_1697", "name":"" }, { -"id":"GW101-3H11_contig_1_281", +"id":"GW101-3H11_contig_1_1690", "name":"" }, { -"id":"GW101-3H11_contig_1_3854", +"id":"GW101-3H11_contig_1_1695", "name":"" }, { -"id":"GW101-3H11_contig_1_3656", +"id":"GW101-3H11_contig_1_3658", "name":"" }, { -"id":"GW101-3H11_contig_1_3383", +"id":"GW101-3H11_contig_1_859", "name":"" }, { -"id":"GW101-3H11_contig_1_73", +"id":"GW101-3H11_contig_1_665", "name":"" }, { -"id":"GW101-3H11_contig_1_74", +"id":"GW101-3H11_contig_1_73", "name":"" }, { -"id":"GW101-3H11_contig_1_3342", +"id":"GW101-3H11_contig_1_3856", "name":"" }, { -"id":"GW101-3H11_contig_1_1695", +"id":"GW101-3H11_contig_1_2720", "name":"" }, { -"id":"GW101-3H11_contig_1_859", +"id":"GW101-3H11_contig_1_4434", "name":"" }, { -"id":"GW101-3H11_contig_1_3382", +"id":"GW101-3H11_contig_1_3854", "name":"" }, { -"id":"GW101-3H11_contig_1_860", +"id":"GW101-3H11_contig_1_77", "name":"" }, { -"id":"GW101-3H11_contig_1_3855", +"id":"GW101-3H11_contig_1_860", "name":"" }, { -"id":"GW101-3H11_contig_1_3856", +"id":"GW101-3H11_contig_1_3855", "name":"" }, { -"id":"GW101-3H11_contig_1_3343", +"id":"GW101-3H11_contig_1_3857", "name":"" }, { -"id":"GW101-3H11_contig_1_77", +"id":"GW101-3H11_contig_1_1694", "name":"" }, { -"id":"GW101-3H11_contig_1_1697", +"id":"GW101-3H11_contig_1_282", "name":"" }, { @@ -41241,11 +41147,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3051", +"id":"GW101-3H11_contig_1_4829", "name":"" }, { -"id":"GW101-3H11_contig_1_4829", +"id":"GW101-3H11_contig_1_3051", "name":"" }, { @@ -41305,15 +41211,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_127", +"id":"GW101-3H11_contig_1_4523", "name":"" }, { -"id":"GW101-3H11_contig_1_4523", +"id":"GW101-3H11_contig_1_3448", "name":"" }, { -"id":"GW101-3H11_contig_1_3448", +"id":"GW101-3H11_contig_1_127", "name":"" }, { @@ -41325,11 +41231,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_311", +"id":"GW101-3H11_contig_1_3627", "name":"" }, { -"id":"GW101-3H11_contig_1_3627", +"id":"GW101-3H11_contig_1_311", "name":"" }, { @@ -41345,27 +41251,23 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2251", -"name":"" -}, -{ "id":"GW101-3H11_contig_1_3130", "name":"" }, { -"id":"GW101-3H11_contig_1_3787", +"id":"GW101-3H11_contig_1_2251", "name":"" }, { -"id":"GW101-3H11_contig_1_3928", +"id":"GW101-3H11_contig_1_4423", "name":"" }, { -"id":"GW101-3H11_contig_1_1947", +"id":"GW101-3H11_contig_1_766", "name":"" }, { -"id":"GW101-3H11_contig_1_4423", +"id":"GW101-3H11_contig_1_4778", "name":"" }, { @@ -41373,47 +41275,47 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4778", +"id":"GW101-3H11_contig_1_4904", "name":"" }, { -"id":"GW101-3H11_contig_1_766", +"id":"GW101-3H11_contig_1_2431", "name":"" }, { -"id":"GW101-3H11_contig_1_1163", +"id":"GW101-3H11_contig_1_4905", "name":"" }, { -"id":"GW101-3H11_contig_1_4610", +"id":"GW101-3H11_contig_1_964", "name":"" }, { -"id":"GW101-3H11_contig_1_4906", +"id":"GW101-3H11_contig_1_1165", "name":"" }, { -"id":"GW101-3H11_contig_1_4905", +"id":"GW101-3H11_contig_1_4906", "name":"" }, { -"id":"GW101-3H11_contig_1_2431", +"id":"GW101-3H11_contig_1_1879", "name":"" }, { -"id":"GW101-3H11_contig_1_1166", +"id":"GW101-3H11_contig_1_969", "name":"" }, { -"id":"GW101-3H11_contig_1_1165", +"id":"GW101-3H11_contig_1_1878", "name":"" }, { -"id":"GW101-3H11_contig_1_4609", +"id":"GW101-3H11_contig_1_1163", "name":"" }, { -"id":"GW101-3H11_contig_1_4608", +"id":"GW101-3H11_contig_1_968", "name":"" }, { @@ -41421,7 +41323,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1164", +"id":"GW101-3H11_contig_1_4610", "name":"" }, { @@ -41429,35 +41331,31 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4904", -"name":"" -}, -{ -"id":"GW101-3H11_contig_1_2433", +"id":"GW101-3H11_contig_1_4608", "name":"" }, { -"id":"GW101-3H11_contig_1_1879", +"id":"GW101-3H11_contig_1_967", "name":"" }, { -"id":"GW101-3H11_contig_1_969", +"id":"GW101-3H11_contig_1_1166", "name":"" }, { -"id":"GW101-3H11_contig_1_967", +"id":"GW101-3H11_contig_1_1164", "name":"" }, { -"id":"GW101-3H11_contig_1_1878", +"id":"GW101-3H11_contig_1_2433", "name":"" }, { -"id":"GW101-3H11_contig_1_968", +"id":"GW101-3H11_contig_1_4609", "name":"" }, { -"id":"GW101-3H11_contig_1_964", +"id":"GW101-3H11_contig_1_4407", "name":"" }, { @@ -41469,10 +41367,6 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4407", -"name":"" -}, -{ "id":"GW101-3H11_contig_1_2349", "name":"" }, @@ -41501,11 +41395,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4596", +"id":"GW101-3H11_contig_1_4598", "name":"" }, { -"id":"GW101-3H11_contig_1_4598", +"id":"GW101-3H11_contig_1_4596", "name":"" }, { @@ -41553,11 +41447,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4121", +"id":"GW101-3H11_contig_1_884", "name":"" }, { -"id":"GW101-3H11_contig_1_884", +"id":"GW101-3H11_contig_1_4121", "name":"" }, { @@ -41569,23 +41463,23 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3087", +"id":"GW101-3H11_contig_1_3088", "name":"" }, { -"id":"GW101-3H11_contig_1_3237", +"id":"GW101-3H11_contig_1_3087", "name":"" }, { -"id":"GW101-3H11_contig_1_3085", +"id":"GW101-3H11_contig_1_3237", "name":"" }, { -"id":"GW101-3H11_contig_1_3088", +"id":"GW101-3H11_contig_1_770", "name":"" }, { -"id":"GW101-3H11_contig_1_770", +"id":"GW101-3H11_contig_1_3085", "name":"" }, { @@ -41593,11 +41487,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_25", +"id":"GW101-3H11_contig_1_3671", "name":"" }, { -"id":"GW101-3H11_contig_1_3671", +"id":"GW101-3H11_contig_1_25", "name":"" }, { @@ -41609,6 +41503,18 @@ "name":"" }, { +"id":"GW101-3H11_contig_1_1947", +"name":"" +}, +{ +"id":"GW101-3H11_contig_1_3787", +"name":"" +}, +{ +"id":"GW101-3H11_contig_1_3928", +"name":"" +}, +{ "id":"GW101-3H11_contig_1_1430", "name":"" }, @@ -41665,11 +41571,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2898", +"id":"GW101-3H11_contig_1_2897", "name":"" }, { -"id":"GW101-3H11_contig_1_2897", +"id":"GW101-3H11_contig_1_2898", "name":"" }, { @@ -41737,19 +41643,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3472", +"id":"GW101-3H11_contig_1_4768", "name":"" }, { -"id":"GW101-3H11_contig_1_4768", +"id":"GW101-3H11_contig_1_3472", "name":"" }, { -"id":"GW101-3H11_contig_1_2225", +"id":"GW101-3H11_contig_1_3440", "name":"" }, { -"id":"GW101-3H11_contig_1_3440", +"id":"GW101-3H11_contig_1_2225", "name":"" }, { @@ -41773,11 +41679,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2239", +"id":"GW101-3H11_contig_1_2238", "name":"" }, { -"id":"GW101-3H11_contig_1_2238", +"id":"GW101-3H11_contig_1_2239", "name":"" }, { @@ -41825,7 +41731,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3155", +"id":"GW101-3H11_contig_1_2601", "name":"" }, { @@ -41833,7 +41739,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2601", +"id":"GW101-3H11_contig_1_3155", "name":"" }, { @@ -41857,11 +41763,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2374", +"id":"GW101-3H11_contig_1_3415", "name":"" }, { -"id":"GW101-3H11_contig_1_3415", +"id":"GW101-3H11_contig_1_2374", "name":"" }, { @@ -41905,15 +41811,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2733", +"id":"GW101-3H11_contig_1_2732", "name":"" }, { -"id":"GW101-3H11_contig_1_2732", +"id":"GW101-3H11_contig_1_2733", "name":"" }, { -"id":"GW101-3H11_contig_1_974", +"id":"GW101-3H11_contig_1_2734", "name":"" }, { @@ -41921,7 +41827,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2734", +"id":"GW101-3H11_contig_1_974", "name":"" }, { @@ -41933,15 +41839,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_605", +"id":"GW101-3H11_contig_1_2552", "name":"" }, { -"id":"GW101-3H11_contig_1_2419", +"id":"GW101-3H11_contig_1_2353", "name":"" }, { -"id":"GW101-3H11_contig_1_2552", +"id":"GW101-3H11_contig_1_2419", "name":"" }, { @@ -41949,15 +41855,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2353", +"id":"GW101-3H11_contig_1_605", "name":"" }, { -"id":"GW101-3H11_contig_1_2646", +"id":"GW101-3H11_contig_1_2404", "name":"" }, { -"id":"GW101-3H11_contig_1_2404", +"id":"GW101-3H11_contig_1_2646", "name":"" }, { @@ -41965,15 +41871,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4068", +"id":"GW101-3H11_contig_1_2804", "name":"" }, { -"id":"GW101-3H11_contig_1_2805", +"id":"GW101-3H11_contig_1_4068", "name":"" }, { -"id":"GW101-3H11_contig_1_2804", +"id":"GW101-3H11_contig_1_2805", "name":"" }, { @@ -41985,11 +41891,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1146", +"id":"GW101-3H11_contig_1_3649", "name":"" }, { -"id":"GW101-3H11_contig_1_3649", +"id":"GW101-3H11_contig_1_1146", "name":"" }, { @@ -41997,11 +41903,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4133", +"id":"GW101-3H11_contig_1_2974", "name":"" }, { -"id":"GW101-3H11_contig_1_2974", +"id":"GW101-3H11_contig_1_4133", "name":"" }, { @@ -42009,7 +41915,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1353", +"id":"GW101-3H11_contig_1_2669", "name":"" }, { @@ -42021,7 +41927,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2669", +"id":"GW101-3H11_contig_1_1353", "name":"" }, { @@ -42033,11 +41939,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_28", +"id":"GW101-3H11_contig_1_2397", "name":"" }, { -"id":"GW101-3H11_contig_1_2397", +"id":"GW101-3H11_contig_1_28", "name":"" }, { @@ -42101,315 +42007,315 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_430", +"id":"GW101-3H11_contig_1_4485", "name":"" }, { -"id":"GW101-3H11_contig_1_485", +"id":"GW101-3H11_contig_1_4495", "name":"" }, { -"id":"GW101-3H11_contig_1_1817", +"id":"GW101-3H11_contig_1_4498", "name":"" }, { -"id":"GW101-3H11_contig_1_3864", +"id":"GW101-3H11_contig_1_485", "name":"" }, { -"id":"GW101-3H11_contig_1_421", +"id":"GW101-3H11_contig_1_1958", "name":"" }, { -"id":"GW101-3H11_contig_1_423", +"id":"GW101-3H11_contig_1_2192", "name":"" }, { -"id":"GW101-3H11_contig_1_4492", +"id":"GW101-3H11_contig_1_430", "name":"" }, { -"id":"GW101-3H11_contig_1_416", +"id":"GW101-3H11_contig_1_420", "name":"" }, { -"id":"GW101-3H11_contig_1_1960", +"id":"GW101-3H11_contig_1_1654", "name":"" }, { -"id":"GW101-3H11_contig_1_3746", +"id":"GW101-3H11_contig_1_3125", "name":"" }, { -"id":"GW101-3H11_contig_1_786", +"id":"GW101-3H11_contig_1_423", "name":"" }, { -"id":"GW101-3H11_contig_1_1955", +"id":"GW101-3H11_contig_1_3878", "name":"" }, { -"id":"GW101-3H11_contig_1_4497", +"id":"GW101-3H11_contig_1_1110", "name":"" }, { -"id":"GW101-3H11_contig_1_1539", +"id":"GW101-3H11_contig_1_3845", "name":"" }, { -"id":"GW101-3H11_contig_1_1957", +"id":"GW101-3H11_contig_1_4490", "name":"" }, { -"id":"GW101-3H11_contig_1_3125", +"id":"GW101-3H11_contig_1_1959", "name":"" }, { -"id":"GW101-3H11_contig_1_3845", +"id":"GW101-3H11_contig_1_416", "name":"" }, { -"id":"GW101-3H11_contig_1_3724", +"id":"GW101-3H11_contig_1_1955", "name":"" }, { -"id":"GW101-3H11_contig_1_417", +"id":"GW101-3H11_contig_1_1111", "name":"" }, { -"id":"GW101-3H11_contig_1_3407", +"id":"GW101-3H11_contig_1_589", "name":"" }, { -"id":"GW101-3H11_contig_1_3677", +"id":"GW101-3H11_contig_1_4500", "name":"" }, { -"id":"GW101-3H11_contig_1_3079", +"id":"GW101-3H11_contig_1_3746", "name":"" }, { -"id":"GW101-3H11_contig_1_484", +"id":"GW101-3H11_contig_1_4259", "name":"" }, { -"id":"GW101-3H11_contig_1_373", +"id":"GW101-3H11_contig_1_4487", "name":"" }, { -"id":"GW101-3H11_contig_1_4488", +"id":"GW101-3H11_contig_1_785", "name":"" }, { -"id":"GW101-3H11_contig_1_425", +"id":"GW101-3H11_contig_1_3863", "name":"" }, { -"id":"GW101-3H11_contig_1_4816", +"id":"GW101-3H11_contig_1_4956", "name":"" }, { -"id":"GW101-3H11_contig_1_3966", +"id":"GW101-3H11_contig_1_421", "name":"" }, { -"id":"GW101-3H11_contig_1_3917", +"id":"GW101-3H11_contig_1_1957", "name":"" }, { -"id":"GW101-3H11_contig_1_4490", +"id":"GW101-3H11_contig_1_4493", "name":"" }, { -"id":"GW101-3H11_contig_1_4956", +"id":"GW101-3H11_contig_1_426", "name":"" }, { -"id":"GW101-3H11_contig_1_1111", +"id":"GW101-3H11_contig_1_4488", "name":"" }, { -"id":"GW101-3H11_contig_1_4494", +"id":"GW101-3H11_contig_1_425", "name":"" }, { -"id":"GW101-3H11_contig_1_4616", +"id":"GW101-3H11_contig_1_3864", "name":"" }, { -"id":"GW101-3H11_contig_1_3878", +"id":"GW101-3H11_contig_1_3079", "name":"" }, { -"id":"GW101-3H11_contig_1_589", +"id":"GW101-3H11_contig_1_372", "name":"" }, { -"id":"GW101-3H11_contig_1_1433", +"id":"GW101-3H11_contig_1_1960", "name":"" }, { -"id":"GW101-3H11_contig_1_4259", +"id":"GW101-3H11_contig_1_4492", "name":"" }, { -"id":"GW101-3H11_contig_1_3863", +"id":"GW101-3H11_contig_1_786", "name":"" }, { -"id":"GW101-3H11_contig_1_371", +"id":"GW101-3H11_contig_1_1539", "name":"" }, { -"id":"GW101-3H11_contig_1_3930", +"id":"GW101-3H11_contig_1_3966", "name":"" }, { -"id":"GW101-3H11_contig_1_4498", +"id":"GW101-3H11_contig_1_1141", "name":"" }, { -"id":"GW101-3H11_contig_1_3848", +"id":"GW101-3H11_contig_1_1817", "name":"" }, { -"id":"GW101-3H11_contig_1_3403", +"id":"GW101-3H11_contig_1_4497", "name":"" }, { -"id":"GW101-3H11_contig_1_372", +"id":"GW101-3H11_contig_1_4489", "name":"" }, { -"id":"GW101-3H11_contig_1_426", +"id":"GW101-3H11_contig_1_1433", "name":"" }, { -"id":"GW101-3H11_contig_1_3620", +"id":"GW101-3H11_contig_1_371", "name":"" }, { -"id":"GW101-3H11_contig_1_4485", +"id":"GW101-3H11_contig_1_3724", "name":"" }, { -"id":"GW101-3H11_contig_1_4258", +"id":"GW101-3H11_contig_1_3620", "name":"" }, { -"id":"GW101-3H11_contig_1_2718", +"id":"GW101-3H11_contig_1_484", "name":"" }, { -"id":"GW101-3H11_contig_1_4499", +"id":"GW101-3H11_contig_1_422", "name":"" }, { -"id":"GW101-3H11_contig_1_1141", +"id":"GW101-3H11_contig_1_3848", "name":"" }, { -"id":"GW101-3H11_contig_1_785", +"id":"GW101-3H11_contig_1_3407", "name":"" }, { -"id":"GW101-3H11_contig_1_4495", +"id":"GW101-3H11_contig_1_3917", "name":"" }, { -"id":"GW101-3H11_contig_1_4252", +"id":"GW101-3H11_contig_1_1170", "name":"" }, { -"id":"GW101-3H11_contig_1_1958", +"id":"GW101-3H11_contig_1_373", "name":"" }, { -"id":"GW101-3H11_contig_1_4501", +"id":"GW101-3H11_contig_1_417", "name":"" }, { -"id":"GW101-3H11_contig_1_422", +"id":"GW101-3H11_contig_1_429", "name":"" }, { -"id":"GW101-3H11_contig_1_3679", +"id":"GW101-3H11_contig_1_482", "name":"" }, { -"id":"GW101-3H11_contig_1_1170", +"id":"GW101-3H11_contig_1_424", "name":"" }, { -"id":"GW101-3H11_contig_1_4493", +"id":"GW101-3H11_contig_1_4496", "name":"" }, { -"id":"GW101-3H11_contig_1_2192", +"id":"GW101-3H11_contig_1_4501", "name":"" }, { -"id":"GW101-3H11_contig_1_483", +"id":"GW101-3H11_contig_1_428", "name":"" }, { -"id":"GW101-3H11_contig_1_4500", +"id":"GW101-3H11_contig_1_3403", "name":"" }, { -"id":"GW101-3H11_contig_1_427", +"id":"GW101-3H11_contig_1_3930", "name":"" }, { -"id":"GW101-3H11_contig_1_1110", +"id":"GW101-3H11_contig_1_4252", "name":"" }, { -"id":"GW101-3H11_contig_1_429", +"id":"GW101-3H11_contig_1_4616", "name":"" }, { -"id":"GW101-3H11_contig_1_3678", +"id":"GW101-3H11_contig_1_483", "name":"" }, { -"id":"GW101-3H11_contig_1_420", +"id":"GW101-3H11_contig_1_4499", "name":"" }, { -"id":"GW101-3H11_contig_1_428", +"id":"GW101-3H11_contig_1_3678", "name":"" }, { -"id":"GW101-3H11_contig_1_4487", +"id":"GW101-3H11_contig_1_3679", "name":"" }, { -"id":"GW101-3H11_contig_1_4489", +"id":"GW101-3H11_contig_1_4258", "name":"" }, { -"id":"GW101-3H11_contig_1_482", +"id":"GW101-3H11_contig_1_4576", "name":"" }, { -"id":"GW101-3H11_contig_1_4496", +"id":"GW101-3H11_contig_1_4816", "name":"" }, { -"id":"GW101-3H11_contig_1_4576", +"id":"GW101-3H11_contig_1_427", "name":"" }, { -"id":"GW101-3H11_contig_1_424", +"id":"GW101-3H11_contig_1_3677", "name":"" }, { -"id":"GW101-3H11_contig_1_1959", +"id":"GW101-3H11_contig_1_4494", "name":"" }, { -"id":"GW101-3H11_contig_1_1654", +"id":"GW101-3H11_contig_1_2718", "name":"" }, { @@ -42445,6 +42351,14 @@ "name":"" }, { +"id":"GW101-3H11_contig_1_1748", +"name":"" +}, +{ +"id":"GW101-3H11_contig_1_1747", +"name":"" +}, +{ "id":"GW101-3H11_contig_1_929", "name":"" }, @@ -42461,59 +42375,59 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3612", +"id":"GW101-3H11_contig_1_3606", "name":"" }, { -"id":"GW101-3H11_contig_1_3605", +"id":"GW101-3H11_contig_1_3604", "name":"" }, { -"id":"GW101-3H11_contig_1_3615", +"id":"GW101-3H11_contig_1_3608", "name":"" }, { -"id":"GW101-3H11_contig_1_3611", +"id":"GW101-3H11_contig_1_3605", "name":"" }, { -"id":"GW101-3H11_contig_1_3610", +"id":"GW101-3H11_contig_1_3603", "name":"" }, { -"id":"GW101-3H11_contig_1_3607", +"id":"GW101-3H11_contig_1_3613", "name":"" }, { -"id":"GW101-3H11_contig_1_3603", +"id":"GW101-3H11_contig_1_3611", "name":"" }, { -"id":"GW101-3H11_contig_1_3608", +"id":"GW101-3H11_contig_1_3615", "name":"" }, { -"id":"GW101-3H11_contig_1_3614", +"id":"GW101-3H11_contig_1_3609", "name":"" }, { -"id":"GW101-3H11_contig_1_3602", +"id":"GW101-3H11_contig_1_3612", "name":"" }, { -"id":"GW101-3H11_contig_1_3609", +"id":"GW101-3H11_contig_1_3602", "name":"" }, { -"id":"GW101-3H11_contig_1_3613", +"id":"GW101-3H11_contig_1_3607", "name":"" }, { -"id":"GW101-3H11_contig_1_3604", +"id":"GW101-3H11_contig_1_3614", "name":"" }, { -"id":"GW101-3H11_contig_1_3606", +"id":"GW101-3H11_contig_1_3610", "name":"" }, { @@ -42573,7 +42487,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4163", +"id":"GW101-3H11_contig_1_3571", "name":"" }, { @@ -42581,7 +42495,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3571", +"id":"GW101-3H11_contig_1_4163", "name":"" }, { @@ -42597,23 +42511,23 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3688", +"id":"GW101-3H11_contig_1_3686", "name":"" }, { -"id":"GW101-3H11_contig_1_3686", +"id":"GW101-3H11_contig_1_3688", "name":"" }, { -"id":"GW101-3H11_contig_1_2928", +"id":"GW101-3H11_contig_1_2929", "name":"" }, { -"id":"GW101-3H11_contig_1_2930", +"id":"GW101-3H11_contig_1_2928", "name":"" }, { -"id":"GW101-3H11_contig_1_2929", +"id":"GW101-3H11_contig_1_2930", "name":"" }, { @@ -42629,7 +42543,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_357", +"id":"GW101-3H11_contig_1_3268", "name":"" }, { @@ -42637,7 +42551,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3268", +"id":"GW101-3H11_contig_1_357", "name":"" }, { @@ -42693,11 +42607,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3498", +"id":"GW101-3H11_contig_1_3497", "name":"" }, { -"id":"GW101-3H11_contig_1_3497", +"id":"GW101-3H11_contig_1_3498", "name":"" }, { @@ -42717,19 +42631,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_877", +"id":"GW101-3H11_contig_1_3804", "name":"" }, { -"id":"GW101-3H11_contig_1_878", +"id":"GW101-3H11_contig_1_880", "name":"" }, { -"id":"GW101-3H11_contig_1_3806", +"id":"GW101-3H11_contig_1_877", "name":"" }, { -"id":"GW101-3H11_contig_1_876", +"id":"GW101-3H11_contig_1_3766", "name":"" }, { @@ -42737,7 +42651,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3804", +"id":"GW101-3H11_contig_1_878", "name":"" }, { @@ -42745,11 +42659,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3766", +"id":"GW101-3H11_contig_1_3806", "name":"" }, { -"id":"GW101-3H11_contig_1_880", +"id":"GW101-3H11_contig_1_876", "name":"" }, { @@ -42781,11 +42695,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3521", +"id":"GW101-3H11_contig_1_2926", "name":"" }, { -"id":"GW101-3H11_contig_1_2926", +"id":"GW101-3H11_contig_1_3521", "name":"" }, { @@ -42813,11 +42727,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3768", +"id":"GW101-3H11_contig_1_4105", "name":"" }, { -"id":"GW101-3H11_contig_1_4105", +"id":"GW101-3H11_contig_1_3768", "name":"" }, { @@ -42853,11 +42767,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1447", +"id":"GW101-3H11_contig_1_3219", "name":"" }, { -"id":"GW101-3H11_contig_1_3219", +"id":"GW101-3H11_contig_1_1447", "name":"" }, { @@ -42865,15 +42779,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2494", +"id":"GW101-3H11_contig_1_2047", "name":"" }, { -"id":"GW101-3H11_contig_1_2047", +"id":"GW101-3H11_contig_1_1516", "name":"" }, { -"id":"GW101-3H11_contig_1_1516", +"id":"GW101-3H11_contig_1_2494", "name":"" }, { @@ -42885,19 +42799,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_882", +"id":"GW101-3H11_contig_1_4514", "name":"" }, { -"id":"GW101-3H11_contig_1_4931", +"id":"GW101-3H11_contig_1_882", "name":"" }, { -"id":"GW101-3H11_contig_1_2171", +"id":"GW101-3H11_contig_1_4931", "name":"" }, { -"id":"GW101-3H11_contig_1_4514", +"id":"GW101-3H11_contig_1_2171", "name":"" }, { @@ -42905,15 +42819,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2901", +"id":"GW101-3H11_contig_1_3170", "name":"" }, { -"id":"GW101-3H11_contig_1_3170", +"id":"GW101-3H11_contig_1_1651", "name":"" }, { -"id":"GW101-3H11_contig_1_1651", +"id":"GW101-3H11_contig_1_2901", "name":"" }, { @@ -42933,19 +42847,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_741", +"id":"GW101-3H11_contig_1_3579", "name":"" }, { -"id":"GW101-3H11_contig_1_3579", +"id":"GW101-3H11_contig_1_2290", "name":"" }, { -"id":"GW101-3H11_contig_1_2290", +"id":"GW101-3H11_contig_1_2299", "name":"" }, { -"id":"GW101-3H11_contig_1_4025", +"id":"GW101-3H11_contig_1_1054", "name":"" }, { @@ -42953,11 +42867,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1054", +"id":"GW101-3H11_contig_1_4025", "name":"" }, { -"id":"GW101-3H11_contig_1_2299", +"id":"GW101-3H11_contig_1_741", "name":"" }, { @@ -42965,19 +42879,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_980", +"id":"GW101-3H11_contig_1_981", "name":"" }, { -"id":"GW101-3H11_contig_1_3253", +"id":"GW101-3H11_contig_1_3252", "name":"" }, { -"id":"GW101-3H11_contig_1_981", +"id":"GW101-3H11_contig_1_980", "name":"" }, { -"id":"GW101-3H11_contig_1_3252", +"id":"GW101-3H11_contig_1_3253", "name":"" }, { @@ -43001,7 +42915,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_325", +"id":"GW101-3H11_contig_1_4788", "name":"" }, { @@ -43009,7 +42923,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4788", +"id":"GW101-3H11_contig_1_325", "name":"" }, { @@ -43041,19 +42955,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2511", +"id":"GW101-3H11_contig_1_3182", "name":"" }, { -"id":"GW101-3H11_contig_1_3182", +"id":"GW101-3H11_contig_1_2511", "name":"" }, { -"id":"GW101-3H11_contig_1_3313", +"id":"GW101-3H11_contig_1_3314", "name":"" }, { -"id":"GW101-3H11_contig_1_3314", +"id":"GW101-3H11_contig_1_3313", "name":"" }, { @@ -43061,11 +42975,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3021", +"id":"GW101-3H11_contig_1_3020", "name":"" }, { -"id":"GW101-3H11_contig_1_3020", +"id":"GW101-3H11_contig_1_3021", "name":"" }, { @@ -43085,11 +42999,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3647", +"id":"GW101-3H11_contig_1_1149", "name":"" }, { -"id":"GW101-3H11_contig_1_1149", +"id":"GW101-3H11_contig_1_3647", "name":"" }, { @@ -43097,35 +43011,35 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2717", +"id":"GW101-3H11_contig_1_2236", "name":"" }, { -"id":"GW101-3H11_contig_1_4685", +"id":"GW101-3H11_contig_1_693", "name":"" }, { -"id":"GW101-3H11_contig_1_1305", +"id":"GW101-3H11_contig_1_4685", "name":"" }, { -"id":"GW101-3H11_contig_1_3924", +"id":"GW101-3H11_contig_1_2991", "name":"" }, { -"id":"GW101-3H11_contig_1_693", +"id":"GW101-3H11_contig_1_4755", "name":"" }, { -"id":"GW101-3H11_contig_1_4755", +"id":"GW101-3H11_contig_1_1305", "name":"" }, { -"id":"GW101-3H11_contig_1_2236", +"id":"GW101-3H11_contig_1_3924", "name":"" }, { -"id":"GW101-3H11_contig_1_2991", +"id":"GW101-3H11_contig_1_2717", "name":"" }, { @@ -43137,15 +43051,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3618", +"id":"GW101-3H11_contig_1_3885", "name":"" }, { -"id":"GW101-3H11_contig_1_3885", +"id":"GW101-3H11_contig_1_2282", "name":"" }, { -"id":"GW101-3H11_contig_1_2282", +"id":"GW101-3H11_contig_1_3618", "name":"" }, { @@ -43173,7 +43087,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1277", +"id":"GW101-3H11_contig_1_1283", "name":"" }, { @@ -43181,11 +43095,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1276", +"id":"GW101-3H11_contig_1_1277", "name":"" }, { -"id":"GW101-3H11_contig_1_1283", +"id":"GW101-3H11_contig_1_1276", "name":"" }, { @@ -43213,71 +43127,71 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4603", +"id":"GW101-3H11_contig_1_3073", "name":"" }, { -"id":"GW101-3H11_contig_1_4430", +"id":"GW101-3H11_contig_1_1810", "name":"" }, { -"id":"GW101-3H11_contig_1_2309", +"id":"GW101-3H11_contig_1_2403", "name":"" }, { -"id":"GW101-3H11_contig_1_2227", +"id":"GW101-3H11_contig_1_2098", "name":"" }, { -"id":"GW101-3H11_contig_1_4838", +"id":"GW101-3H11_contig_1_3459", "name":"" }, { -"id":"GW101-3H11_contig_1_1810", +"id":"GW101-3H11_contig_1_2344", "name":"" }, { -"id":"GW101-3H11_contig_1_3971", +"id":"GW101-3H11_contig_1_2227", "name":"" }, { -"id":"GW101-3H11_contig_1_2098", +"id":"GW101-3H11_contig_1_4603", "name":"" }, { -"id":"GW101-3H11_contig_1_2403", +"id":"GW101-3H11_contig_1_3971", "name":"" }, { -"id":"GW101-3H11_contig_1_3459", +"id":"GW101-3H11_contig_1_2", "name":"" }, { -"id":"GW101-3H11_contig_1_1469", +"id":"GW101-3H11_contig_1_3", "name":"" }, { -"id":"GW101-3H11_contig_1_2344", +"id":"GW101-3H11_contig_1_4838", "name":"" }, { -"id":"GW101-3H11_contig_1_2", +"id":"GW101-3H11_contig_1_2309", "name":"" }, { -"id":"GW101-3H11_contig_1_3073", +"id":"GW101-3H11_contig_1_1469", "name":"" }, { -"id":"GW101-3H11_contig_1_2660", +"id":"GW101-3H11_contig_1_2484", "name":"" }, { -"id":"GW101-3H11_contig_1_2484", +"id":"GW101-3H11_contig_1_4430", "name":"" }, { -"id":"GW101-3H11_contig_1_3", +"id":"GW101-3H11_contig_1_2660", "name":"" }, { @@ -43309,23 +43223,23 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1171", +"id":"GW101-3H11_contig_1_2600", "name":"" }, { -"id":"GW101-3H11_contig_1_2600", +"id":"GW101-3H11_contig_1_1171", "name":"" }, { -"id":"GW101-3H11_contig_1_2876", +"id":"GW101-3H11_contig_1_2878", "name":"" }, { -"id":"GW101-3H11_contig_1_2960", +"id":"GW101-3H11_contig_1_2876", "name":"" }, { -"id":"GW101-3H11_contig_1_2877", +"id":"GW101-3H11_contig_1_2960", "name":"" }, { @@ -43333,19 +43247,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2878", +"id":"GW101-3H11_contig_1_2877", "name":"" }, { -"id":"GW101-3H11_contig_1_3720", +"id":"GW101-3H11_contig_1_2838", "name":"" }, { -"id":"GW101-3H11_contig_1_2838", +"id":"GW101-3H11_contig_1_3719", "name":"" }, { -"id":"GW101-3H11_contig_1_3719", +"id":"GW101-3H11_contig_1_3720", "name":"" }, { @@ -43353,15 +43267,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_578", +"id":"GW101-3H11_contig_1_579", "name":"" }, { -"id":"GW101-3H11_contig_1_577", +"id":"GW101-3H11_contig_1_578", "name":"" }, { -"id":"GW101-3H11_contig_1_579", +"id":"GW101-3H11_contig_1_577", "name":"" }, { @@ -43393,11 +43307,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4889", +"id":"GW101-3H11_contig_1_1341", "name":"" }, { -"id":"GW101-3H11_contig_1_1341", +"id":"GW101-3H11_contig_1_4889", "name":"" }, { @@ -43429,11 +43343,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_312", +"id":"GW101-3H11_contig_1_314", "name":"" }, { -"id":"GW101-3H11_contig_1_314", +"id":"GW101-3H11_contig_1_312", "name":"" }, { @@ -43441,11 +43355,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1031", +"id":"GW101-3H11_contig_1_1030", "name":"" }, { -"id":"GW101-3H11_contig_1_1030", +"id":"GW101-3H11_contig_1_1031", "name":"" }, { @@ -43469,19 +43383,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3753", +"id":"GW101-3H11_contig_1_4535", "name":"" }, { -"id":"GW101-3H11_contig_1_4535", +"id":"GW101-3H11_contig_1_3753", "name":"" }, { -"id":"GW101-3H11_contig_1_3499", +"id":"GW101-3H11_contig_1_3300", "name":"" }, { -"id":"GW101-3H11_contig_1_3300", +"id":"GW101-3H11_contig_1_3499", "name":"" }, { @@ -43545,19 +43459,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4176", -"name":"" -}, -{ "id":"GW101-3H11_contig_1_63", "name":"" }, { -"id":"GW101-3H11_contig_1_302", +"id":"GW101-3H11_contig_1_4176", "name":"" }, { -"id":"GW101-3H11_contig_1_4656", +"id":"GW101-3H11_contig_1_302", "name":"" }, { @@ -43569,7 +43479,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_257", +"id":"GW101-3H11_contig_1_4656", "name":"" }, { @@ -43577,19 +43487,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1562", +"id":"GW101-3H11_contig_1_257", "name":"" }, { -"id":"GW101-3H11_contig_1_2406", +"id":"GW101-3H11_contig_1_1562", "name":"" }, { -"id":"GW101-3H11_contig_1_1130", +"id":"GW101-3H11_contig_1_870", "name":"" }, { -"id":"GW101-3H11_contig_1_2459", +"id":"GW101-3H11_contig_1_2406", "name":"" }, { @@ -43601,15 +43511,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_870", +"id":"GW101-3H11_contig_1_1130", "name":"" }, { -"id":"GW101-3H11_contig_1_3008", +"id":"GW101-3H11_contig_1_2459", "name":"" }, { -"id":"GW101-3H11_contig_1_2837", +"id":"GW101-3H11_contig_1_3008", "name":"" }, { @@ -43617,6 +43527,10 @@ "name":"" }, { +"id":"GW101-3H11_contig_1_2837", +"name":"" +}, +{ "id":"GW101-3H11_contig_1_2587", "name":"" }, @@ -43633,11 +43547,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_755", +"id":"GW101-3H11_contig_1_758", "name":"" }, { -"id":"GW101-3H11_contig_1_758", +"id":"GW101-3H11_contig_1_755", "name":"" }, { @@ -43657,6 +43571,10 @@ "name":"" }, { +"id":"GW101-3H11_contig_1_2454", +"name":"" +}, +{ "id":"GW101-3H11_contig_1_4090", "name":"" }, @@ -43665,7 +43583,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2454", +"id":"GW101-3H11_contig_1_3968", "name":"" }, { @@ -43677,10 +43595,6 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3968", -"name":"" -}, -{ "id":"GW101-3H11_contig_1_1402", "name":"" }, @@ -43697,11 +43611,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4870", +"id":"GW101-3H11_contig_1_3897", "name":"" }, { -"id":"GW101-3H11_contig_1_3897", +"id":"GW101-3H11_contig_1_4870", "name":"" }, { @@ -43749,11 +43663,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2645", +"id":"GW101-3H11_contig_1_2337", "name":"" }, { -"id":"GW101-3H11_contig_1_2337", +"id":"GW101-3H11_contig_1_2645", "name":"" }, { @@ -43785,15 +43699,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_736", +"id":"GW101-3H11_contig_1_2054", "name":"" }, { -"id":"GW101-3H11_contig_1_2054", +"id":"GW101-3H11_contig_1_1839", "name":"" }, { -"id":"GW101-3H11_contig_1_1839", +"id":"GW101-3H11_contig_1_736", "name":"" }, { @@ -43853,11 +43767,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3789", +"id":"GW101-3H11_contig_1_2488", "name":"" }, { -"id":"GW101-3H11_contig_1_2488", +"id":"GW101-3H11_contig_1_3789", "name":"" }, { @@ -43865,15 +43779,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4955", +"id":"GW101-3H11_contig_1_3732", "name":"" }, { -"id":"GW101-3H11_contig_1_3460", +"id":"GW101-3H11_contig_1_1918", "name":"" }, { -"id":"GW101-3H11_contig_1_1918", +"id":"GW101-3H11_contig_1_2962", "name":"" }, { @@ -43881,19 +43795,19 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_487", +"id":"GW101-3H11_contig_1_4955", "name":"" }, { -"id":"GW101-3H11_contig_1_486", +"id":"GW101-3H11_contig_1_487", "name":"" }, { -"id":"GW101-3H11_contig_1_3732", +"id":"GW101-3H11_contig_1_3460", "name":"" }, { -"id":"GW101-3H11_contig_1_2962", +"id":"GW101-3H11_contig_1_486", "name":"" }, { @@ -43917,11 +43831,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2244", +"id":"GW101-3H11_contig_1_2246", "name":"" }, { -"id":"GW101-3H11_contig_1_2246", +"id":"GW101-3H11_contig_1_2244", "name":"" }, { @@ -43949,10 +43863,6 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1394", -"name":"" -}, -{ "id":"GW101-3H11_contig_1_3113", "name":"" }, @@ -43985,11 +43895,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1011", +"id":"GW101-3H11_contig_1_4749", "name":"" }, { -"id":"GW101-3H11_contig_1_4749", +"id":"GW101-3H11_contig_1_1011", "name":"" }, { @@ -44069,23 +43979,23 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3005", +"id":"GW101-3H11_contig_1_4529", "name":"" }, { -"id":"GW101-3H11_contig_1_1611", +"id":"GW101-3H11_contig_1_4386", "name":"" }, { -"id":"GW101-3H11_contig_1_4395", +"id":"GW101-3H11_contig_1_1611", "name":"" }, { -"id":"GW101-3H11_contig_1_4386", +"id":"GW101-3H11_contig_1_4395", "name":"" }, { -"id":"GW101-3H11_contig_1_4529", +"id":"GW101-3H11_contig_1_3005", "name":"" }, { @@ -44101,11 +44011,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_3862", +"id":"GW101-3H11_contig_1_2916", "name":"" }, { -"id":"GW101-3H11_contig_1_2916", +"id":"GW101-3H11_contig_1_3862", "name":"" }, { @@ -44125,11 +44035,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2908", +"id":"GW101-3H11_contig_1_2366", "name":"" }, { -"id":"GW101-3H11_contig_1_2366", +"id":"GW101-3H11_contig_1_2908", "name":"" }, { @@ -44153,7 +44063,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_571", +"id":"GW101-3H11_contig_1_570", "name":"" }, { @@ -44161,11 +44071,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_570", +"id":"GW101-3H11_contig_1_569", "name":"" }, { -"id":"GW101-3H11_contig_1_569", +"id":"GW101-3H11_contig_1_571", "name":"" }, { @@ -44173,155 +44083,155 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_1670", +"id":"GW101-3H11_contig_1_1760", "name":"" }, { -"id":"GW101-3H11_contig_1_521", +"id":"GW101-3H11_contig_1_1762", "name":"" }, { -"id":"GW101-3H11_contig_1_522", +"id":"GW101-3H11_contig_1_1759", "name":"" }, { -"id":"GW101-3H11_contig_1_520", +"id":"GW101-3H11_contig_1_1761", "name":"" }, { -"id":"GW101-3H11_contig_1_523", +"id":"GW101-3H11_contig_1_3285", "name":"" }, { -"id":"GW101-3H11_contig_1_1759", +"id":"GW101-3H11_contig_1_3287", "name":"" }, { -"id":"GW101-3H11_contig_1_1762", +"id":"GW101-3H11_contig_1_3284", "name":"" }, { -"id":"GW101-3H11_contig_1_1761", +"id":"GW101-3H11_contig_1_3289", "name":"" }, { -"id":"GW101-3H11_contig_1_1760", +"id":"GW101-3H11_contig_1_3286", "name":"" }, { -"id":"GW101-3H11_contig_1_3284", +"id":"GW101-3H11_contig_1_3288", "name":"" }, { -"id":"GW101-3H11_contig_1_3285", +"id":"GW101-3H11_contig_1_1568", "name":"" }, { -"id":"GW101-3H11_contig_1_3287", +"id":"GW101-3H11_contig_1_1567", "name":"" }, { -"id":"GW101-3H11_contig_1_3286", +"id":"GW101-3H11_contig_1_1569", "name":"" }, { -"id":"GW101-3H11_contig_1_3288", +"id":"GW101-3H11_contig_1_4508", "name":"" }, { -"id":"GW101-3H11_contig_1_3289", +"id":"GW101-3H11_contig_1_4503", "name":"" }, { -"id":"GW101-3H11_contig_1_1569", +"id":"GW101-3H11_contig_1_4505", "name":"" }, { -"id":"GW101-3H11_contig_1_1568", +"id":"GW101-3H11_contig_1_4506", "name":"" }, { -"id":"GW101-3H11_contig_1_1567", +"id":"GW101-3H11_contig_1_4507", "name":"" }, { -"id":"GW101-3H11_contig_1_4507", +"id":"GW101-3H11_contig_1_1427", "name":"" }, { -"id":"GW101-3H11_contig_1_4505", +"id":"GW101-3H11_contig_1_2390", "name":"" }, { -"id":"GW101-3H11_contig_1_4506", +"id":"GW101-3H11_contig_1_2391", "name":"" }, { -"id":"GW101-3H11_contig_1_4503", +"id":"GW101-3H11_contig_1_2392", "name":"" }, { -"id":"GW101-3H11_contig_1_4508", +"id":"GW101-3H11_contig_1_4112", "name":"" }, { -"id":"GW101-3H11_contig_1_1427", +"id":"GW101-3H11_contig_1_3272", "name":"" }, { -"id":"GW101-3H11_contig_1_2392", +"id":"GW101-3H11_contig_1_463", "name":"" }, { -"id":"GW101-3H11_contig_1_2391", +"id":"GW101-3H11_contig_1_459", "name":"" }, { -"id":"GW101-3H11_contig_1_2390", +"id":"GW101-3H11_contig_1_464", "name":"" }, { -"id":"GW101-3H11_contig_1_4112", +"id":"GW101-3H11_contig_1_460", "name":"" }, { -"id":"GW101-3H11_contig_1_3272", +"id":"GW101-3H11_contig_1_458", "name":"" }, { -"id":"GW101-3H11_contig_1_464", +"id":"GW101-3H11_contig_1_462", "name":"" }, { -"id":"GW101-3H11_contig_1_460", +"id":"GW101-3H11_contig_1_461", "name":"" }, { -"id":"GW101-3H11_contig_1_457", +"id":"GW101-3H11_contig_1_465", "name":"" }, { -"id":"GW101-3H11_contig_1_461", +"id":"GW101-3H11_contig_1_457", "name":"" }, { -"id":"GW101-3H11_contig_1_463", +"id":"GW101-3H11_contig_1_521", "name":"" }, { -"id":"GW101-3H11_contig_1_459", +"id":"GW101-3H11_contig_1_520", "name":"" }, { -"id":"GW101-3H11_contig_1_462", +"id":"GW101-3H11_contig_1_1670", "name":"" }, { -"id":"GW101-3H11_contig_1_458", +"id":"GW101-3H11_contig_1_522", "name":"" }, { -"id":"GW101-3H11_contig_1_465", +"id":"GW101-3H11_contig_1_523", "name":"" }, { @@ -44341,11 +44251,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4039", +"id":"GW101-3H11_contig_1_4035", "name":"" }, { -"id":"GW101-3H11_contig_1_4035", +"id":"GW101-3H11_contig_1_4039", "name":"" }, { @@ -44449,15 +44359,15 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_4683", +"id":"GW101-3H11_contig_1_1320", "name":"" }, { -"id":"GW101-3H11_contig_1_4145", +"id":"GW101-3H11_contig_1_4683", "name":"" }, { -"id":"GW101-3H11_contig_1_1320", +"id":"GW101-3H11_contig_1_4145", "name":"" }, { @@ -44469,7 +44379,7 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2666", +"id":"GW101-3H11_contig_1_2555", "name":"" }, { @@ -44477,7 +44387,11 @@ "name":"" }, { -"id":"GW101-3H11_contig_1_2555", +"id":"GW101-3H11_contig_1_2666", +"name":"" +}, +{ +"id":"GW101-3H11_contig_1_1394", "name":"" }, { diff --git a/Metabolic_modeling/data/model_acido_gf2.xml b/Metabolic_modeling/data/model_acido_gf2.xml new file mode 100644 index 0000000..305cc2f --- /dev/null +++ b/Metabolic_modeling/data/model_acido_gf2.xml @@ -0,0 +1,59120 @@ + + + + + +

kbase_compartment_data_c0: {'pH': 7, 'potential': 0, 'compartmentIndex': '0'}

+

kbase_compartment_data_e0: {'pH': 7, 'potential': 0, 'compartmentIndex': '0'}

+ + + + + + + + + + + + + + + + + + + +

modelseed_template_id: cpd00443_c

+ + + + + + +

modelseed_template_id: cpd02920_c

+ + + + + + +

modelseed_template_id: cpd00012_c

+ + + + + + +

modelseed_template_id: cpd00067_c

+ + + + + + +

modelseed_template_id: cpd00683_c

+ + + + + + +

modelseed_template_id: cpd00002_c

+ + + + + + +

modelseed_template_id: cpd00033_c

+ + + + + + +

modelseed_template_id: cpd00506_c

+ + + + + + +

modelseed_template_id: cpd00008_c

+ + + + + + +

modelseed_template_id: cpd00009_c

+ + + + + + +

modelseed_template_id: cpd00042_c

+ + + + + + +

modelseed_template_id: cpd00022_c

+ + + + + + +

modelseed_template_id: cpd00054_c

+ + + + + + +

modelseed_template_id: cpd00010_c

+ + + + + + +

modelseed_template_id: cpd00722_c

+ + + + + + +

modelseed_template_id: cpd00046_c

+ + + + + + +

modelseed_template_id: cpd00096_c

+ + + + + + +

modelseed_template_id: cpd00067_e

+ + + + + + +

modelseed_template_id: cpd00106_e

+ + + + + + +

modelseed_template_id: cpd00106_c

+ + + + + + +

modelseed_template_id: cpd00037_c

+ + + + + + +

modelseed_template_id: cpd03494_c

+ + + + + + +

modelseed_template_id: cpd00014_c

+ + + + + + +

modelseed_template_id: cpd03495_c

+ + + + + + +

modelseed_template_id: cpd00001_c

+ + + + + + +

modelseed_template_id: cpd00658_c

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modelseed_template_id: cpd00020_c

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modelseed_template_id: cpd02566_c

+ + + + + + +

modelseed_template_id: cpd11440_c

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modelseed_template_id: cpd00018_c

+ + + + + + +

modelseed_template_id: cpd11441_c

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modelseed_template_id: cpd00023_c

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modelseed_template_id: cpd00084_c

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modelseed_template_id: cpd00004_c

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modelseed_template_id: cpd11527_c

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modelseed_template_id: cpd00003_c

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modelseed_template_id: cpd11528_c

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modelseed_template_id: cpd00533_c

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modelseed_template_id: cpd00356_c

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modelseed_template_id: cpd00075_e

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modelseed_template_id: cpd00075_c

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modelseed_template_id: cpd00851_c

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modelseed_template_id: cpd02175_c

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modelseed_template_id: cpd00213_c

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modelseed_template_id: cpd03049_c

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modelseed_template_id: cpd00056_c

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modelseed_template_id: cpd00836_c

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modelseed_template_id: cpd00006_c

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modelseed_template_id: cpd00842_c

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modelseed_template_id: cpd00005_c

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modelseed_template_id: cpd00279_c

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modelseed_template_id: cpd00521_c

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modelseed_template_id: cpd00522_c

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modelseed_template_id: cpd03113_c

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modelseed_template_id: cpd03114_c

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modelseed_template_id: cpd00039_c

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modelseed_template_id: cpd00011_c

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modelseed_template_id: cpd01155_c

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modelseed_template_id: cpd01307_c

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modelseed_template_id: cpd00259_c

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modelseed_template_id: cpd11466_c

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modelseed_template_id: cpd01695_c

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modelseed_template_id: cpd11493_c

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modelseed_template_id: cpd07923_c

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modelseed_template_id: cpd07924_c

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modelseed_template_id: cpd02557_c

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modelseed_template_id: cpd00113_c

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modelseed_template_id: cpd02590_c

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modelseed_template_id: cpd15269_c

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modelseed_template_id: cpd15349_c

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modelseed_template_id: cpd15541_c

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modelseed_template_id: cpd08289_c

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modelseed_template_id: cpd08449_c

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modelseed_template_id: cpd00478_c

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modelseed_template_id: cpd03187_c

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modelseed_template_id: cpd00024_c

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modelseed_template_id: cpd15688_c

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modelseed_template_id: cpd15694_c

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modelseed_template_id: cpd15721_c

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modelseed_template_id: cpd15727_c

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modelseed_template_id: cpd11589_c

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modelseed_template_id: cpd00041_c

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modelseed_template_id: cpd00038_c

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modelseed_template_id: cpd00048_c

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modelseed_template_id: cpd00031_c

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modelseed_template_id: cpd00193_c

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modelseed_template_id: cpd00206_c

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modelseed_template_id: cpd02375_c

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modelseed_template_id: cpd00052_c

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modelseed_template_id: cpd02201_c

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modelseed_template_id: cpd02666_c

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modelseed_template_id: cpd02097_c

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modelseed_template_id: cpd02168_c

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modelseed_template_id: cpd03211_c

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modelseed_template_id: cpd00201_c

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modelseed_template_id: cpd03524_c

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modelseed_template_id: cpd00477_c

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modelseed_template_id: cpd00654_c

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modelseed_template_id: cpd00199_c

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modelseed_template_id: cpd00036_c

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modelseed_template_id: cpd00007_c

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modelseed_template_id: cpd00136_c

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modelseed_template_id: cpd00197_c

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modelseed_template_id: cpd00036_e

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modelseed_template_id: cpd00198_c

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modelseed_template_id: cpd15317_c

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modelseed_template_id: cpd00908_c

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modelseed_template_id: cpd15237_c

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modelseed_template_id: cpd11576_e

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modelseed_template_id: cpd11576_c

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modelseed_template_id: cpd00191_c

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modelseed_template_id: cpd04097_c

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modelseed_template_id: cpd04097_e

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modelseed_template_id: cpd15540_c

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modelseed_template_id: cpd00100_c

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modelseed_template_id: cpd15793_c

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modelseed_template_id: cpd00807_c

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modelseed_template_id: cpd00930_c

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modelseed_template_id: cpd03414_c

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modelseed_template_id: cpd03416_c

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modelseed_template_id: cpd02961_c

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modelseed_template_id: cpd00229_c

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modelseed_template_id: cpd00954_c

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modelseed_template_id: cpd00013_c

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modelseed_template_id: cpd00025_c

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modelseed_template_id: cpd00032_c

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modelseed_template_id: cpd02978_c

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modelseed_template_id: cpd03521_c

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modelseed_template_id: cpd02851_c

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modelseed_template_id: cpd00103_c

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modelseed_template_id: cpd02506_c

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modelseed_template_id: cpd00080_c

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modelseed_template_id: cpd15686_c

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modelseed_template_id: cpd15719_c

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modelseed_template_id: cpd00071_c

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modelseed_template_id: cpd15331_c

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modelseed_template_id: cpd15522_c

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modelseed_template_id: cpd15682_c

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modelseed_template_id: cpd02498_c

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modelseed_template_id: cpd00123_c

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modelseed_template_id: cpd11543_c

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modelseed_template_id: cpd11544_c

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modelseed_template_id: cpd11483_c

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modelseed_template_id: cpd11471_c

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modelseed_template_id: cpd00171_c

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modelseed_template_id: cpd00047_c

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modelseed_template_id: cpd11225_c

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modelseed_template_id: cpd00342_c

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modelseed_template_id: cpd00064_c

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modelseed_template_id: cpd11421_c

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modelseed_template_id: cpd11420_c

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modelseed_template_id: cpd00585_c

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modelseed_template_id: cpd01679_c

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modelseed_template_id: cpd11513_c

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modelseed_template_id: cpd11514_c

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modelseed_template_id: cpd11597_e

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modelseed_template_id: cpd11597_c

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modelseed_template_id: cpd15560_c

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modelseed_template_id: cpd00095_c

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modelseed_template_id: cpd15561_c

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modelseed_template_id: cpd15298_c

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modelseed_template_id: cpd15338_c

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modelseed_template_id: cpd15530_c

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modelseed_template_id: cpd00390_c

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modelseed_template_id: cpd00897_c

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modelseed_template_id: cpd02333_c

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modelseed_template_id: cpd03470_c

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modelseed_template_id: cpd09879_c

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modelseed_template_id: cpd00759_c

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modelseed_template_id: cpd00147_c

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modelseed_template_id: cpd00128_c

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modelseed_template_id: cpd01981_c

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modelseed_template_id: cpd15685_c

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modelseed_template_id: cpd15691_c

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modelseed_template_id: cpd00817_c

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modelseed_template_id: cpd02511_c

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modelseed_template_id: cpd11505_c

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modelseed_template_id: cpd11506_c

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modelseed_template_id: cpd15506_c

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modelseed_template_id: cpd15505_c

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modelseed_template_id: cpd00287_c

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modelseed_template_id: cpd00086_c

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modelseed_template_id: cpd00012_e

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modelseed_template_id: cpd00810_c

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modelseed_template_id: cpd00091_c

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modelseed_template_id: cpd02654_c

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modelseed_template_id: cpd02894_c

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modelseed_template_id: cpd00793_c

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modelseed_template_id: cpd00118_c

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modelseed_template_id: cpd01960_c

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modelseed_template_id: cpd03326_c

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modelseed_template_id: cpd15350_c

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modelseed_template_id: cpd01741_c

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modelseed_template_id: cpd03708_c

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modelseed_template_id: cpd00345_c

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modelseed_template_id: cpd00125_c

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modelseed_template_id: cpd00019_c

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modelseed_template_id: cpd02738_c

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modelseed_template_id: cpd00017_c

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modelseed_template_id: cpd02555_c

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modelseed_template_id: cpd15308_c

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modelseed_template_id: cpd15523_c

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modelseed_template_id: cpd00307_c

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modelseed_template_id: cpd00092_c

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modelseed_template_id: cpd00061_c

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modelseed_template_id: cpd01030_e

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modelseed_template_id: cpd03698_c

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modelseed_template_id: cpd00226_c

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modelseed_template_id: cpd00309_c

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modelseed_template_id: cpd00530_c

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modelseed_template_id: cpd00497_c

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modelseed_template_id: cpd15702_c

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modelseed_template_id: cpd15678_c

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modelseed_template_id: cpd02210_c

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modelseed_template_id: cpd00102_c

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modelseed_template_id: cpd00359_c

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modelseed_template_id: cpd15325_c

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modelseed_template_id: cpd00418_e

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modelseed_template_id: cpd00659_e

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modelseed_template_id: cpd03002_c

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modelseed_template_id: cpd02993_c

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modelseed_template_id: cpd00773_c

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modelseed_template_id: cpd15387_c

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modelseed_template_id: cpd15579_c

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modelseed_template_id: cpd02730_c

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modelseed_template_id: cpd15605_c

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modelseed_template_id: cpd00066_c

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modelseed_template_id: cpd01977_c

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modelseed_template_id: cpd15422_c

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modelseed_template_id: cpd02065_c

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modelseed_template_id: cpd00483_c

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modelseed_template_id: cpd00493_c

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modelseed_template_id: cpd00016_c

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modelseed_template_id: cpd15357_c

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modelseed_template_id: cpd03205_c

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modelseed_template_id: cpd11502_c

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modelseed_template_id: cpd11503_c

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modelseed_template_id: cpd11464_c

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modelseed_template_id: cpd11492_c

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modelseed_template_id: cpd11486_c

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modelseed_template_id: cpd00119_c

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modelseed_template_id: cpd00581_c

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modelseed_template_id: cpd03124_c

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modelseed_template_id: cpd03121_c

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modelseed_template_id: cpd11522_c

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modelseed_template_id: cpd11523_c

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modelseed_template_id: cpd01012_c

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modelseed_template_id: cpd01012_e

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modelseed_template_id: cpd00268_c

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modelseed_template_id: cpd00029_c

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modelseed_template_id: cpd00081_c

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modelseed_template_id: cpd00053_c

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modelseed_template_id: cpd00132_c

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modelseed_template_id: cpd00232_c

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modelseed_template_id: cpd00112_c

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modelseed_template_id: cpd00015_c

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modelseed_template_id: cpd00760_c

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modelseed_template_id: cpd00982_c

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modelseed_template_id: cpd02125_c

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modelseed_template_id: cpd00819_c

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modelseed_template_id: cpd00427_c

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modelseed_template_id: cpd15423_c

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modelseed_template_id: cpd15553_c

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modelseed_template_id: cpd03189_c

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modelseed_template_id: cpd00860_c

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modelseed_template_id: cpd15239_c

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modelseed_template_id: cpd15418_c

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modelseed_template_id: cpd15556_c

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modelseed_template_id: cpd02090_c

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modelseed_template_id: cpd01646_c

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modelseed_template_id: cpd01080_c

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modelseed_template_id: cpd15341_c

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modelseed_template_id: cpd15533_c

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modelseed_template_id: cpd00242_c

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modelseed_template_id: cpd12848_c

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modelseed_template_id: cpd12543_c

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modelseed_template_id: cpd02030_c

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modelseed_template_id: cpd03471_c

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modelseed_template_id: cpd00219_c

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modelseed_template_id: cpd00868_c

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modelseed_template_id: cpd00044_c

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modelseed_template_id: cpd01335_c

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modelseed_template_id: cpd03130_c

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modelseed_template_id: cpd00504_c

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modelseed_template_id: cpd00516_c

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modelseed_template_id: cpd00344_c

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modelseed_template_id: cpd00770_c

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modelseed_template_id: cpd00905_c

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modelseed_template_id: cpd11585_c

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modelseed_template_id: cpd15500_c

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modelseed_template_id: cpd15499_c

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modelseed_template_id: cpd00058_c

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modelseed_template_id: cpd00058_e

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modelseed_template_id: cpd02626_c

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modelseed_template_id: cpd00340_c

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modelseed_template_id: cpd02547_c

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modelseed_template_id: cpd03917_c

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modelseed_template_id: cpd03919_c

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modelseed_template_id: cpd00652_c

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modelseed_template_id: cpd00515_c

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modelseed_template_id: cpd00689_c

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modelseed_template_id: cpd00755_c

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modelseed_template_id: cpd11472_c

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modelseed_template_id: cpd11490_c

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modelseed_template_id: cpd15348_c

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modelseed_template_id: cpd15529_c

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modelseed_template_id: cpd01101_c

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modelseed_template_id: cpd00276_e

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modelseed_template_id: cpd00288_c

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modelseed_template_id: cpd00068_c

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modelseed_template_id: cpd00114_c

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modelseed_template_id: cpd01775_c

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modelseed_template_id: cpd00498_c

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modelseed_template_id: cpd10162_c

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modelseed_template_id: cpd11526_c

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modelseed_template_id: cpd00082_e

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modelseed_template_id: cpd00802_c

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modelseed_template_id: cpd11515_c

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modelseed_template_id: cpd00080_e

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modelseed_template_id: cpd00126_c

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modelseed_template_id: cpd15353_c

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modelseed_template_id: cpd00203_c

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modelseed_template_id: cpd00001_e

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modelseed_template_id: cpd00867_c

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modelseed_template_id: cpd00121_c

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modelseed_template_id: cpd00023_e

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modelseed_template_id: cpd00971_e

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modelseed_template_id: cpd00971_c

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modelseed_template_id: cpd00519_c

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modelseed_template_id: cpd00282_c

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modelseed_template_id: cpd00247_c

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modelseed_template_id: cpd00774_c

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modelseed_template_id: cpd00073_e

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modelseed_template_id: cpd00073_c

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modelseed_template_id: cpd15557_c

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modelseed_template_id: cpd00286_c

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modelseed_template_id: cpd02862_c

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modelseed_template_id: cpd02948_c

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modelseed_template_id: cpd02857_c

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modelseed_template_id: cpd00699_c

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modelseed_template_id: cpd11468_c

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modelseed_template_id: cpd11469_c

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modelseed_template_id: cpd03915_c

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modelseed_template_id: cpd00421_c

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modelseed_template_id: cpd03916_c

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modelseed_template_id: cpd00087_c

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modelseed_template_id: cpd00290_c

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modelseed_template_id: cpd02152_c

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modelseed_template_id: cpd00051_c

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modelseed_template_id: cpd00641_c

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modelseed_template_id: cpd15328_c

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modelseed_template_id: cpd15687_c

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modelseed_template_id: cpd15693_c

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modelseed_template_id: cpd01260_c

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modelseed_template_id: cpd02060_c

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modelseed_template_id: cpd00311_c

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modelseed_template_id: cpd00626_c

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modelseed_template_id: cpd12547_c

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modelseed_template_id: cpd00062_c

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modelseed_template_id: cpd08286_c

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modelseed_template_id: cpd00101_c

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modelseed_template_id: cpd03163_c

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modelseed_template_id: cpd03392_c

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modelseed_template_id: cpd11478_c

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modelseed_template_id: cpd11465_c

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modelseed_template_id: cpd03666_c

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modelseed_template_id: cpd02767_c

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modelseed_template_id: cpd00797_c

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modelseed_template_id: cpd00107_e

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modelseed_template_id: cpd00107_c

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modelseed_template_id: cpd00072_c

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modelseed_template_id: cpd03607_c

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modelseed_template_id: cpd04539_c

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modelseed_template_id: cpd00357_c

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modelseed_template_id: cpd00297_c

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modelseed_template_id: cpd02691_c

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modelseed_template_id: cpd02124_c

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modelseed_template_id: cpd00216_c

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modelseed_template_id: cpd00093_c

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modelseed_template_id: cpd15746_c

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modelseed_template_id: cpd15764_c

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modelseed_template_id: cpd00314_e

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modelseed_template_id: cpd00491_c

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modelseed_template_id: cpd11588_c

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modelseed_template_id: cpd00129_c

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modelseed_template_id: cpd12836_c

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modelseed_template_id: cpd12837_c

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modelseed_template_id: cpd00241_c

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modelseed_template_id: cpd00295_c

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modelseed_template_id: cpd15546_c

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modelseed_template_id: cpd00296_c

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modelseed_template_id: cpd00277_c

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modelseed_template_id: cpd11438_c

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modelseed_template_id: cpd11488_c

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modelseed_template_id: cpd15339_c

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modelseed_template_id: cpd00214_c

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modelseed_template_id: cpd11570_c

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modelseed_template_id: cpd11571_c

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modelseed_template_id: cpd04073_c

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modelseed_template_id: cpd00055_c

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modelseed_template_id: cpd01324_c

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modelseed_template_id: cpd15679_c

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modelseed_template_id: cpd00040_c

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modelseed_template_id: cpd15720_c

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modelseed_template_id: cpd01651_c

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modelseed_template_id: cpd03407_c

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modelseed_template_id: cpd00013_e

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modelseed_template_id: cpd15322_c

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modelseed_template_id: cpd02570_c

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modelseed_template_id: cpd15398_c

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modelseed_template_id: cpd00122_c

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modelseed_template_id: cpd15401_c

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modelseed_template_id: cpd15343_c

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modelseed_template_id: cpd11836_c

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modelseed_template_id: cpd00957_c

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modelseed_template_id: cpd01669_c

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modelseed_template_id: cpd00362_c

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modelseed_template_id: cpd00143_c

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modelseed_template_id: cpd03480_c

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modelseed_template_id: cpd00244_e

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modelseed_template_id: cpd00244_c

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modelseed_template_id: cpd15327_c

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modelseed_template_id: cpd00822_c

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modelseed_template_id: cpd00135_c

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modelseed_template_id: cpd11484_c

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modelseed_template_id: cpd11467_c

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modelseed_template_id: cpd03518_c

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modelseed_template_id: cpd15704_c

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modelseed_template_id: cpd15680_c

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modelseed_template_id: cpd01501_c

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modelseed_template_id: cpd00507_c

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modelseed_template_id: cpd00098_c

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modelseed_template_id: cpd15753_c

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modelseed_template_id: cpd15771_c

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modelseed_template_id: cpd15419_c

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modelseed_template_id: cpd15545_c

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modelseed_template_id: cpd00790_c

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modelseed_template_id: cpd00179_e

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modelseed_template_id: cpd01919_c

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modelseed_template_id: cpd11474_c

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modelseed_template_id: cpd11489_c

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modelseed_template_id: cpd11507_c

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modelseed_template_id: cpd03118_c

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modelseed_template_id: cpd03129_c

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modelseed_template_id: cpd03449_c

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modelseed_template_id: cpd00292_c

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modelseed_template_id: cpd02068_c

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modelseed_template_id: cpd00347_c

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modelseed_template_id: cpd11476_c

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modelseed_template_id: cpd15312_c

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modelseed_template_id: cpd15527_c

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modelseed_template_id: cpd00875_c

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modelseed_template_id: cpd00346_c

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modelseed_template_id: cpd02120_c

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modelseed_template_id: cpd15524_c

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modelseed_template_id: cpd03116_c

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modelseed_template_id: cpd11568_c

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modelseed_template_id: cpd11569_c

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modelseed_template_id: cpd15606_c

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modelseed_template_id: cpd00069_c

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modelseed_template_id: cpd11539_c

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modelseed_template_id: cpd15420_c

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modelseed_template_id: cpd15548_c

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modelseed_template_id: cpd15358_c

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modelseed_template_id: cpd02746_c

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modelseed_template_id: cpd02229_c

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modelseed_template_id: cpd11491_c

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modelseed_template_id: cpd00567_c

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modelseed_template_id: cpd00906_c

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modelseed_template_id: cpd01298_c

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modelseed_template_id: cpd00428_c

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modelseed_template_id: cpd00009_e

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modelseed_template_id: cpd00078_c

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modelseed_template_id: cpd00449_c

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modelseed_template_id: cpd00159_c

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modelseed_template_id: cpd15342_c

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modelseed_template_id: cpd00918_c

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modelseed_template_id: cpd00249_c

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modelseed_template_id: cpd00220_c

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modelseed_template_id: cpd00349_c

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modelseed_template_id: cpd00236_c

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modelseed_template_id: cpd15677_c

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modelseed_template_id: cpd03646_c

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modelseed_template_id: cpd00780_c

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modelseed_template_id: cpd15717_c

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modelseed_template_id: cpd15723_c

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modelseed_template_id: cpd11206_c

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modelseed_template_id: cpd15555_c

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modelseed_template_id: cpd11509_c

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modelseed_template_id: cpd11510_c

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modelseed_template_id: cpd01587_c

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modelseed_template_id: cpd11473_c

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modelseed_template_id: cpd01966_c

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modelseed_template_id: cpd15536_c

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modelseed_template_id: cpd00931_c

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modelseed_template_id: cpd15770_c

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modelseed_template_id: cpd03560_c

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modelseed_template_id: cpd02546_c

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modelseed_template_id: cpd11530_c

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modelseed_template_id: cpd11531_c

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modelseed_template_id: cpd02524_c

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modelseed_template_id: cpd11461_c

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modelseed_template_id: cpd00166_c

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modelseed_template_id: cpd00048_e

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modelseed_template_id: cpd11511_c

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modelseed_template_id: cpd11830_c

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modelseed_template_id: cpd15697_c

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modelseed_template_id: cpd00540_e

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modelseed_template_id: cpd00540_c

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modelseed_template_id: cpd04099_c

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modelseed_template_id: cpd01914_e

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modelseed_template_id: cpd00141_c

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modelseed_template_id: cpd02591_c

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modelseed_template_id: cpd15318_c

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modelseed_template_id: cpd11572_c

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modelseed_template_id: cpd00386_e

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modelseed_template_id: cpd00727_c

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modelseed_template_id: cpd10515_c

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modelseed_template_id: cpd01157_c

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modelseed_template_id: cpd11532_c

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modelseed_template_id: cpd15534_c

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modelseed_template_id: cpd03897_c

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modelseed_template_id: cpd15468_c

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modelseed_template_id: cpd01078_c

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modelseed_template_id: cpd03078_c

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modelseed_template_id: cpd11549_c

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modelseed_template_id: cpd12237_c

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modelseed_template_id: cpd14507_c

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modelseed_template_id: cpd03702_c

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modelseed_template_id: cpd00938_c

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modelseed_template_id: cpd02255_c

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modelseed_template_id: cpd11431_c

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modelseed_template_id: cpd11584_c

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modelseed_template_id: cpd03125_c

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modelseed_template_id: cpd01059_c

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modelseed_template_id: cpd00321_c

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modelseed_template_id: cpd02069_c

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modelseed_template_id: cpd15696_c

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modelseed_template_id: cpd12225_c

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modelseed_template_id: cpd03585_c

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modelseed_template_id: cpd00523_c

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modelseed_template_id: cpd11591_c

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modelseed_template_id: cpd11477_c

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modelseed_template_id: cpd00105_e

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modelseed_template_id: cpd11497_c

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modelseed_template_id: cpd11498_c

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modelseed_template_id: cpd00327_c

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modelseed_template_id: cpd00254_c

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modelseed_template_id: cpd00254_e

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modelseed_template_id: cpd15315_c

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modelseed_template_id: cpd00438_c

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modelseed_template_id: cpd00408_c

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modelseed_template_id: cpd00712_c

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modelseed_template_id: cpd02544_c

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modelseed_template_id: cpd00331_c

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modelseed_template_id: cpd03671_c

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modelseed_template_id: cpd02611_c

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modelseed_template_id: cpd11519_c

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modelseed_template_id: cpd01997_c

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modelseed_template_id: cpd00837_c

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modelseed_template_id: cpd15748_c

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modelseed_template_id: cpd15766_c

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modelseed_template_id: cpd11436_c

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modelseed_template_id: cpd11437_c

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modelseed_template_id: cpd01311_c

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modelseed_template_id: cpd00550_c

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modelseed_template_id: cpd00481_c

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modelseed_template_id: cpd00876_c

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modelseed_template_id: cpd15554_c

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modelseed_template_id: cpd02113_c

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modelseed_template_id: cpd01293_c

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modelseed_template_id: cpd00673_c

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modelseed_template_id: cpd00268_e

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modelseed_template_id: cpd15319_c

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modelseed_template_id: cpd01793_c

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modelseed_template_id: cpd00781_c

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modelseed_template_id: cpd15754_c

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modelseed_template_id: cpd15772_c

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modelseed_template_id: cpd00274_c

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modelseed_template_id: cpd15362_c

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modelseed_template_id: cpd15508_c

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modelseed_template_id: cpd15507_c

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modelseed_template_id: cpd00278_c

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modelseed_template_id: cpd11175_c

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modelseed_template_id: cpd15306_c

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modelseed_template_id: cpd00322_e

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modelseed_template_id: cpd00393_c

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modelseed_template_id: cpd02569_c

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modelseed_template_id: cpd02799_c

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modelseed_template_id: cpd00412_c

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modelseed_template_id: cpd11590_c

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modelseed_template_id: cpd03445_c

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modelseed_template_id: cpd03105_c

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modelseed_template_id: cpd00763_c

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modelseed_template_id: cpd00858_c

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modelseed_template_id: cpd00925_c

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modelseed_template_id: cpd08625_c

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modelseed_template_id: cpd09027_c

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modelseed_template_id: cpd11556_c

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modelseed_template_id: cpd11557_c

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modelseed_template_id: cpd00283_c

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modelseed_template_id: cpd03496_c

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modelseed_template_id: cpd03282_c

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modelseed_template_id: cpd00186_c

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modelseed_template_id: cpd02968_c

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modelseed_template_id: cpd15666_c

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modelseed_template_id: cpd00620_c

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modelseed_template_id: cpd00977_c

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modelseed_template_id: cpd00388_c

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modelseed_template_id: cpd00976_c

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modelseed_template_id: cpd00092_e

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modelseed_template_id: cpd01504_c

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modelseed_template_id: cpd00053_e

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modelseed_template_id: cpd15326_c

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modelseed_template_id: cpd00366_c

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modelseed_template_id: cpd00646_c

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modelseed_template_id: cpd15695_c

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modelseed_template_id: cpd15368_c

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modelseed_template_id: cpd00156_e

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modelseed_template_id: cpd02039_c

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modelseed_template_id: cpd03279_c

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modelseed_template_id: cpd00447_c

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modelseed_template_id: cpd00782_c

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modelseed_template_id: cpd01107_c

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modelseed_template_id: cpd02465_c

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modelseed_template_id: cpd03559_c

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modelseed_template_id: cpd15747_c

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modelseed_template_id: cpd12072_c

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modelseed_template_id: cpd12139_c

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modelseed_template_id: cpd00395_c

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modelseed_template_id: cpd03285_c

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modelseed_template_id: cpd00424_c

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modelseed_template_id: cpd11573_c

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modelseed_template_id: cpd01476_c

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modelseed_template_id: cpd02182_c

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modelseed_template_id: cpd15751_c

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modelseed_template_id: cpd15769_c

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modelseed_template_id: cpd06227_c

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modelseed_template_id: cpd03606_c

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modelseed_template_id: cpd22027_c

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modelseed_template_id: cpd36025_c

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modelseed_template_id: cpd19505_c

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modelseed_template_id: cpd28259_c

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modelseed_template_id: cpd21479_c

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modelseed_template_id: cpd28070_c

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modelseed_template_id: cpd33817_c

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modelseed_template_id: cpd27744_c

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modelseed_template_id: cpd12489_c

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modelseed_template_id: cpd21288_c

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modelseed_template_id: cpd36635_c

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modelseed_template_id: cpd22028_c

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modelseed_template_id: cpd21480_c

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modelseed_template_id: cpd19047_c

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modelseed_template_id: cpd11209_c

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modelseed_template_id: cpd25960_c

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modelseed_template_id: cpd26518_c

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modelseed_complex: tcpx00971

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modelseed_complex: tcpx00971

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modelseed_complex: tcpx00971

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modelseed_complex: tcpx00982

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modelseed_complex: tcpx00983

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modelseed_complex: tcpx00984

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modelseed_complex: tcpx00991

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modelseed_complex: cpx00145

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modelseed_complex: cpx00714

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modelseed_complex: cpx00472

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modelseed_complex: cpx00562

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modelseed_complex: cpx01676

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modelseed_complex: tcpx01028

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modelseed_complex: tcpx01029

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modelseed_complex: tcpx01030

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modelseed_complex: cpx00708

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modelseed_complex: cpx00708

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modelseed_complex: tcpx01039

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modelseed_complex: tcpx01039

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modelseed_complex: tcpx01065

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modelseed_complex: tcpx01073

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modelseed_complex: tcpx01097

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modelseed_complex: tcpx01113

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modelseed_complex: tcpx01147

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modelseed_complex: tcpx01155

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modelseed_complex: tcpx01164

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modelseed_complex: tcpx01168

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modelseed_complex: tcpx01171

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modelseed_complex: tcpx01180

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modelseed_complex: tcpx01186

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modelseed_complex: tcpx01188

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modelseed_complex: tcpx00743

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modelseed_complex: cpx00501

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modelseed_complex: cpx01119

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modelseed_complex: cpz00001

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complex_source: ModelSEED

+

complex_subunit_note_ftr01608: Dihydropteroate synthase (EC 2.5.1.15)

+

complex_subunit_optional_ftr01608: 0

+

complex_subunit_triggering_ftr01608: 1

+

complex_subunit_features_ftr01608: GW101-3H11_contig_1_3100

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01607: 2-amino-4-hydroxy-6-hydroxymethyldihydropteridine pyrophosphokinase (EC 2.7.6.3)

+

complex_subunit_optional_ftr01607: 0

+

complex_subunit_triggering_ftr01607: 1

+

complex_subunit_features_ftr01607: GW101-3H11_contig_1_1449

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01601: Glutathione synthetase (EC 6.3.2.3)

+

complex_subunit_optional_ftr01601: 0

+

complex_subunit_triggering_ftr01601: 1

+

complex_subunit_features_ftr01601: GW101-3H11_contig_1_4594

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05918: Serine acetyltransferase (EC 2.3.1.30)

+

complex_subunit_optional_ftr05918: 0

+

complex_subunit_triggering_ftr05918: 1

+

complex_subunit_features_ftr05918: GW101-3H11_contig_1_1642;GW101-3H11_contig_1_4914

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00541: Cytidylate kinase (EC 2.7.4.25)

+

complex_subunit_optional_tftr00541: 0

+

complex_subunit_triggering_tftr00541: 1

+

complex_subunit_features_tftr00541: GW101-3H11_contig_1_2223

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02467: C4-dicarboxylate transport protein

+

complex_subunit_optional_ftr02467: 0

+

complex_subunit_triggering_ftr02467: 1

+

complex_subunit_features_ftr02467: GW101-3H11_contig_1_1344

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02348: TRAP-type C4-dicarboxylate transport system, periplasmic component

+

complex_subunit_optional_ftr02348: 0

+

complex_subunit_triggering_ftr02348: 1

+

complex_subunit_features_ftr02348: GW101-3H11_contig_1_1518;GW101-3H11_contig_1_2727;GW101-3H11_contig_1_3888;GW101-3H11_contig_1_4102;GW101-3H11_contig_1_4776;GW101-3H11_contig_1_989

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00519: Na+/H+-dicarboxylate symporter

+

complex_subunit_optional_tftr00519: 0

+

complex_subunit_triggering_tftr00519: 1

+

complex_subunit_features_tftr00519: GW101-3H11_contig_1_4579

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08505: UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase (EC 2.4.1.227)

+

complex_subunit_optional_ftr08505: 0

+

complex_subunit_triggering_ftr08505: 1

+

complex_subunit_features_ftr08505: GW101-3H11_contig_1_934

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01558: Isochorismatase (EC 3.3.2.1)

+

complex_subunit_optional_ftr01558: 0

+

complex_subunit_triggering_ftr01558: 1

+

complex_subunit_features_ftr01558: GW101-3H11_contig_1_2599

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02241: Long-chain-fatty-acid--CoA ligase (EC 6.2.1.3)

+

complex_subunit_optional_ftr02241: 0

+

complex_subunit_triggering_ftr02241: 1

+

complex_subunit_features_ftr02241: GW101-3H11_contig_1_11;GW101-3H11_contig_1_187;GW101-3H11_contig_1_2027;GW101-3H11_contig_1_2029;GW101-3H11_contig_1_2043;GW101-3H11_contig_1_2520;GW101-3H11_contig_1_267;GW101-3H11_contig_1_2856;GW101-3H11_contig_1_3292;GW101-3H11_contig_1_3348;GW101-3H11_contig_1_4208;GW101-3H11_contig_1_4642;GW101-3H11_contig_1_506;GW101-3H11_contig_1_666;GW101-3H11_contig_1_72;GW101-3H11_contig_1_760;GW101-3H11_contig_1_858

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01600: Glutamate--cysteine ligase (EC 6.3.2.2), divergent, of Alpha- and Beta-proteobacteria type

+

complex_subunit_optional_ftr01600: 0

+

complex_subunit_triggering_ftr01600: 1

+

complex_subunit_features_ftr01600: GW101-3H11_contig_1_4597

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01598: Glutamate--cysteine ligase (EC 6.3.2.2)

+

complex_subunit_optional_ftr01598: 0

+

complex_subunit_triggering_ftr01598: 1

+

complex_subunit_features_ftr01598: GW101-3H11_contig_1_1776

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02996: Enoyl-[acyl-carrier-protein] reductase [NADH] (EC 1.3.1.9)

+

complex_subunit_optional_ftr02996: 0

+

complex_subunit_triggering_ftr02996: 1

+

complex_subunit_features_ftr02996: GW101-3H11_contig_1_1875

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06012: Nucleoside diphosphate kinase (EC 2.7.4.6)

+

complex_subunit_optional_ftr06012: 0

+

complex_subunit_triggering_ftr06012: 1

+

complex_subunit_features_ftr06012: GW101-3H11_contig_1_1812

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00783: Nitrate/nitrite transporter NarK/U

+

complex_subunit_optional_tftr00783: 0

+

complex_subunit_triggering_tftr00783: 1

+

complex_subunit_features_tftr00783: GW101-3H11_contig_1_519

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02211: Nitrate/nitrite transporter

+

complex_subunit_optional_ftr02211: 0

+

complex_subunit_triggering_ftr02211: 1

+

complex_subunit_features_ftr02211: GW101-3H11_contig_1_4699

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01176: Nitrate/nitrite transporter NarK/U 1

+

complex_subunit_optional_tftr01176: 0

+

complex_subunit_triggering_tftr01176: 1

+

complex_subunit_features_tftr01176: GW101-3H11_contig_1_518

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00417: Nitrate transporter NasA

+

complex_subunit_optional_tftr00417: 0

+

complex_subunit_triggering_tftr00417: 1

+

complex_subunit_features_tftr00417: GW101-3H11_contig_1_1675

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05026: 4-hydroxyproline epimerase (EC 5.1.1.8)

+

complex_subunit_optional_ftr05026: 0

+

complex_subunit_triggering_ftr05026: 1

+

complex_subunit_features_ftr05026: GW101-3H11_contig_1_2721

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01379: Pyruvate dehydrogenase E1 component (EC 1.2.4.1)

+

complex_subunit_optional_ftr01379: 0

+

complex_subunit_triggering_ftr01379: 1

+

complex_subunit_features_ftr01379: GW101-3H11_contig_1_2647;GW101-3H11_contig_1_3417

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03139: 3-hydroxybutyryl-CoA dehydrogenase (EC 1.1.1.157)

+

complex_subunit_optional_ftr03139: 0

+

complex_subunit_triggering_ftr03139: 1

+

complex_subunit_features_ftr03139: GW101-3H11_contig_1_2048;GW101-3H11_contig_1_690

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04948: dTDP-4-dehydrorhamnose 3,5-epimerase (EC 5.1.3.13)

+

complex_subunit_optional_ftr04948: 0

+

complex_subunit_triggering_ftr04948: 1

+

complex_subunit_features_ftr04948: GW101-3H11_contig_1_4357;GW101-3H11_contig_1_801

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00801: 3-hydroxyacyl-CoA dehydrogenase [fadN-fadA-fadE operon] (EC 1.1.1.35)

+

complex_subunit_optional_tftr00801: 0

+

complex_subunit_triggering_tftr00801: 1

+

complex_subunit_features_tftr00801: GW101-3H11_contig_1_836

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03140: 3-hydroxyacyl-CoA dehydrogenase (EC 1.1.1.35)

+

complex_subunit_optional_ftr03140: 0

+

complex_subunit_triggering_ftr03140: 1

+

complex_subunit_features_ftr03140: GW101-3H11_contig_1_2048;GW101-3H11_contig_1_2275;GW101-3H11_contig_1_2980;GW101-3H11_contig_1_4218;GW101-3H11_contig_1_854

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr33435: lysine decarboxylase (EC 4.1.1.18)

+

complex_subunit_optional_ftr33435: 0

+

complex_subunit_triggering_ftr33435: 1

+

complex_subunit_features_ftr33435: GW101-3H11_contig_1_1873

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00159: D-arabinitol 4-dehydrogenase (EC 1.1.1.11)

+

complex_subunit_optional_ftr00159: 0

+

complex_subunit_triggering_ftr00159: 1

+

complex_subunit_features_ftr00159: GW101-3H11_contig_1_1850

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02994: Malonyl CoA-acyl carrier protein transacylase (EC 2.3.1.39)

+

complex_subunit_optional_ftr02994: 0

+

complex_subunit_triggering_ftr02994: 1

+

complex_subunit_features_ftr02994: GW101-3H11_contig_1_3743

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06398: Octaprenyl diphosphate synthase (EC 2.5.1.90)

+

complex_subunit_optional_ftr06398: 0

+

complex_subunit_triggering_ftr06398: 1

+

complex_subunit_features_ftr06398: GW101-3H11_contig_1_1109

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11974: 2-acylglycerophosphoethanolamine acyltransferase (EC 2.3.1.40)

+

complex_subunit_optional_ftr11974: 0

+

complex_subunit_triggering_ftr11974: 1

+

complex_subunit_features_ftr11974: GW101-3H11_contig_1_4456

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06655: Pyridoxine 5'-phosphate synthase (EC 2.6.99.2)

+

complex_subunit_optional_ftr06655: 0

+

complex_subunit_triggering_ftr06655: 1

+

complex_subunit_features_ftr06655: GW101-3H11_contig_1_3729

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00150: Isocitrate dehydrogenase [NADP] (EC 1.1.1.42)

+

complex_subunit_optional_ftr00150: 0

+

complex_subunit_triggering_ftr00150: 1

+

complex_subunit_features_ftr00150: GW101-3H11_contig_1_130;GW101-3H11_contig_1_2422

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09926: CDP-diacylglycerol--serine O-phosphatidyltransferase (EC 2.7.8.8)

+

complex_subunit_optional_ftr09926: 0

+

complex_subunit_triggering_ftr09926: 1

+

complex_subunit_features_ftr09926: GW101-3H11_contig_1_189;GW101-3H11_contig_1_3018

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09927: Phosphatidylglycerophosphatase A (EC 3.1.3.27)

+

complex_subunit_optional_ftr09927: 0

+

complex_subunit_triggering_ftr09927: 1

+

complex_subunit_features_ftr09927: GW101-3H11_contig_1_4559

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06570: Membrane alanine aminopeptidase N (EC 3.4.11.2)

+

complex_subunit_optional_ftr06570: 0

+

complex_subunit_triggering_ftr06570: 1

+

complex_subunit_features_ftr06570: GW101-3H11_contig_1_2166

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05559: Methionine aminopeptidase (EC 3.4.11.18)

+

complex_subunit_optional_ftr05559: 0

+

complex_subunit_triggering_ftr05559: 1

+

complex_subunit_features_ftr05559: GW101-3H11_contig_1_3009;GW101-3H11_contig_1_3366

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05119: Cytosol aminopeptidase PepA (EC 3.4.11.1)

+

complex_subunit_optional_ftr05119: 0

+

complex_subunit_triggering_ftr05119: 1

+

complex_subunit_features_ftr05119: GW101-3H11_contig_1_2402

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05913: Sulfate adenylyltransferase subunit 1 (EC 2.7.7.4)

+

complex_subunit_optional_ftr05913: 0

+

complex_subunit_triggering_ftr05913: 1

+

complex_subunit_features_ftr05913: GW101-3H11_contig_1_2968

+

complex_subunit_note_ftr05914: Sulfate adenylyltransferase subunit 2 (EC 2.7.7.4)

+

complex_subunit_optional_ftr05914: 0

+

complex_subunit_triggering_ftr05914: 1

+

complex_subunit_features_ftr05914: GW101-3H11_contig_1_2967

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05999: Adenylosuccinate lyase (EC 4.3.2.2)

+

complex_subunit_optional_ftr05999: 0

+

complex_subunit_triggering_ftr05999: 1

+

complex_subunit_features_ftr05999: GW101-3H11_contig_1_4771

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00076: SAICAR lyase (EC 4.3.2.2)

+

complex_subunit_optional_tftr00076: 0

+

complex_subunit_triggering_tftr00076: 1

+

complex_subunit_features_tftr00076: GW101-3H11_contig_1_4771

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01071: Phosphopantothenoylcysteine synthetase (EC 6.3.2.5)

+

complex_subunit_optional_ftr01071: 0

+

complex_subunit_triggering_ftr01071: 1

+

complex_subunit_features_ftr01071: GW101-3H11_contig_1_3550

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06506: Glutamate 5-kinase (EC 2.7.2.11)

+

complex_subunit_optional_ftr06506: 0

+

complex_subunit_triggering_ftr06506: 1

+

complex_subunit_features_ftr06506: GW101-3H11_contig_1_1113

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03316: Phytoene synthase (EC 2.5.1.32)

+

complex_subunit_optional_ftr03316: 0

+

complex_subunit_triggering_ftr03316: 1

+

complex_subunit_features_ftr03316: GW101-3H11_contig_1_3328

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01694: Folylpolyglutamate synthase (EC 6.3.2.17)

+

complex_subunit_optional_ftr01694: 0

+

complex_subunit_triggering_ftr01694: 1

+

complex_subunit_features_ftr01694: GW101-3H11_contig_1_2188

+

complex_subunit_note_ftr01688: Dihydrofolate synthase (EC 6.3.2.12)

+

complex_subunit_optional_ftr01688: 0

+

complex_subunit_triggering_ftr01688: 1

+

complex_subunit_features_ftr01688: GW101-3H11_contig_1_2188

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05888: N-acetylglutamate synthase (EC 2.3.1.1)

+

complex_subunit_optional_ftr05888: 0

+

complex_subunit_triggering_ftr05888: 1

+

complex_subunit_features_ftr05888: GW101-3H11_contig_1_1100;GW101-3H11_contig_1_2867

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00253: Acetyltransferase, GNAT family

+

complex_subunit_optional_tftr00253: 0

+

complex_subunit_triggering_tftr00253: 1

+

complex_subunit_features_tftr00253: GW101-3H11_contig_1_1705;GW101-3H11_contig_1_1842;GW101-3H11_contig_1_2005;GW101-3H11_contig_1_2471;GW101-3H11_contig_1_2893;GW101-3H11_contig_1_3519;GW101-3H11_contig_1_3632;GW101-3H11_contig_1_3849;GW101-3H11_contig_1_4077;GW101-3H11_contig_1_4862

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06004: 5'-nucleotidase (EC 3.1.3.5)

+

complex_subunit_optional_ftr06004: 0

+

complex_subunit_triggering_ftr06004: 1

+

complex_subunit_features_ftr06004: GW101-3H11_contig_1_1865;GW101-3H11_contig_1_4198;GW101-3H11_contig_1_970

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01707: 5-nucleotidase SurE (EC 3.1.3.5)

+

complex_subunit_optional_ftr01707: 0

+

complex_subunit_triggering_ftr01707: 1

+

complex_subunit_features_ftr01707: GW101-3H11_contig_1_1806

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05352: Exopolyphosphatase (EC 3.6.1.11)

+

complex_subunit_optional_ftr05352: 0

+

complex_subunit_triggering_ftr05352: 1

+

complex_subunit_features_ftr05352: GW101-3H11_contig_1_3089

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05657: Succinate-semialdehyde dehydrogenase [NADP+] (EC 1.2.1.16)

+

complex_subunit_optional_ftr05657: 0

+

complex_subunit_triggering_ftr05657: 1

+

complex_subunit_features_ftr05657: GW101-3H11_contig_1_2735;GW101-3H11_contig_1_3644

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04388: P-hydroxybenzoate hydroxylase (EC 1.14.13.2)

+

complex_subunit_optional_ftr04388: 0

+

complex_subunit_triggering_ftr04388: 1

+

complex_subunit_features_ftr04388: GW101-3H11_contig_1_294;GW101-3H11_contig_1_4136

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00168: Xylulose kinase (EC 2.7.1.17)

+

complex_subunit_optional_ftr00168: 0

+

complex_subunit_triggering_ftr00168: 1

+

complex_subunit_features_ftr00168: GW101-3H11_contig_1_1852

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07503: Lysophospholipase (EC 3.1.1.5)

+

complex_subunit_optional_ftr07503: 0

+

complex_subunit_triggering_ftr07503: 1

+

complex_subunit_features_ftr07503: GW101-3H11_contig_1_1635;GW101-3H11_contig_1_3356;GW101-3H11_contig_1_4633;GW101-3H11_contig_1_4929

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02128: Methionine ABC transporter permease protein

+

complex_subunit_optional_ftr02128: 0

+

complex_subunit_triggering_ftr02128: 1

+

complex_subunit_features_ftr02128: GW101-3H11_contig_1_2905

+

complex_subunit_note_ftr02127: Methionine ABC transporter substrate-binding protein

+

complex_subunit_optional_ftr02127: 0

+

complex_subunit_triggering_ftr02127: 1

+

complex_subunit_features_ftr02127: GW101-3H11_contig_1_2890

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03042: Methylmalonate-semialdehyde dehydrogenase (EC 1.2.1.27)

+

complex_subunit_optional_ftr03042: 0

+

complex_subunit_triggering_ftr03042: 1

+

complex_subunit_features_ftr03042: GW101-3H11_contig_1_2443

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02514: Lead, cadmium, zinc and mercury transporting ATPase (EC 3.6.3.3) (EC 3.6.3.5)

+

complex_subunit_optional_ftr02514: 0

+

complex_subunit_triggering_ftr02514: 1

+

complex_subunit_features_ftr02514: GW101-3H11_contig_1_2761;GW101-3H11_contig_1_2778;GW101-3H11_contig_1_616;GW101-3H11_contig_1_638;GW101-3H11_contig_1_82

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00725: Cardiolipin synthase (EC 2.7.8.-) phosphatidylethanolamine-utilizing, bacterial type ClsC

+

complex_subunit_optional_tftr00725: 0

+

complex_subunit_triggering_tftr00725: 1

+

complex_subunit_features_tftr00725: GW101-3H11_contig_1_3628

+

complex_subunit_note_tftr00518: Cardiolipin synthase (EC 2.7.8.-) bacterial type ClsB, has minor trans-phosphatidylation activity converting PE to PG

+

complex_subunit_optional_tftr00518: 0

+

complex_subunit_triggering_tftr00518: 1

+

complex_subunit_features_tftr00518: GW101-3H11_contig_1_1152

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02812: Histidinol-phosphate aminotransferase (EC 2.6.1.9)

+

complex_subunit_optional_ftr02812: 0

+

complex_subunit_triggering_ftr02812: 1

+

complex_subunit_features_ftr02812: GW101-3H11_contig_1_1074

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07658: Uroporphyrinogen III decarboxylase (EC 4.1.1.37)

+

complex_subunit_optional_ftr07658: 0

+

complex_subunit_triggering_ftr07658: 1

+

complex_subunit_features_ftr07658: GW101-3H11_contig_1_4429

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01685: Dihydroneopterin aldolase (EC 4.1.2.25)

+

complex_subunit_optional_ftr01685: 0

+

complex_subunit_triggering_ftr01685: 1

+

complex_subunit_features_ftr01685: GW101-3H11_contig_1_2055;GW101-3H11_contig_1_735

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01619: L-aspartate oxidase (EC 1.4.3.16)

+

complex_subunit_optional_ftr01619: 0

+

complex_subunit_triggering_ftr01619: 1

+

complex_subunit_features_ftr01619: GW101-3H11_contig_1_3972

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00861: Dihydroneopterin triphosphate pyrophosphohydrolase type 2

+

complex_subunit_optional_tftr00861: 0

+

complex_subunit_triggering_tftr00861: 1

+

complex_subunit_features_tftr00861: GW101-3H11_contig_1_1143

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03584: Adenine phosphoribosyltransferase (EC 2.4.2.7)

+

complex_subunit_optional_ftr03584: 0

+

complex_subunit_triggering_ftr03584: 1

+

complex_subunit_features_ftr03584: GW101-3H11_contig_1_4949

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01922: CDP-diacylglycerol--glycerol-3-phosphate 3-phosphatidyltransferase (EC 2.7.8.5)

+

complex_subunit_optional_ftr01922: 0

+

complex_subunit_triggering_ftr01922: 1

+

complex_subunit_features_ftr01922: GW101-3H11_contig_1_3171

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01389: Pyruvate decarboxylase (EC 4.1.1.1)

+

complex_subunit_optional_ftr01389: 0

+

complex_subunit_triggering_ftr01389: 1

+

complex_subunit_features_ftr01389: GW101-3H11_contig_1_222

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00768: Acyl-CoA:1-acyl-sn-glycerol-3-phosphate acyltransferase (EC 2.3.1.51)

+

complex_subunit_optional_tftr00768: 0

+

complex_subunit_triggering_tftr00768: 1

+

complex_subunit_features_tftr00768: GW101-3H11_contig_1_4120;GW101-3H11_contig_1_4191

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08485: Phosphatidate cytidylyltransferase (EC 2.7.7.41)

+

complex_subunit_optional_ftr08485: 0

+

complex_subunit_triggering_ftr08485: 1

+

complex_subunit_features_ftr08485: GW101-3H11_contig_1_3120;GW101-3H11_contig_1_4192

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03112: Dihydroxy-acid dehydratase (EC 4.2.1.9)

+

complex_subunit_optional_ftr03112: 0

+

complex_subunit_triggering_ftr03112: 1

+

complex_subunit_features_ftr03112: GW101-3H11_contig_1_3301;GW101-3H11_contig_1_3302

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr16325: 3-hydroxyacyl-[acyl-carrier-protein] dehydratase, FabA form (EC 4.2.1.59)

+

complex_subunit_optional_ftr16325: 0

+

complex_subunit_triggering_ftr16325: 1

+

complex_subunit_features_ftr16325: GW101-3H11_contig_1_776

+ + + + + + +

complex_source: PlantSEED

+

complex_subunit_note_ftr50357: 3-hydroxyacyl-[acyl-carrier-protein] dehydratase, FabZ form (EC 4.2.1.59)

+

complex_subunit_optional_ftr50357: 0

+

complex_subunit_triggering_ftr50357: 1

+

complex_subunit_features_ftr50357: GW101-3H11_contig_1_3114

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08996: 3,4-dihydroxy-2-butanone 4-phosphate synthase (EC 4.1.99.12)

+

complex_subunit_optional_ftr08996: 0

+

complex_subunit_triggering_ftr08996: 1

+

complex_subunit_features_ftr08996: GW101-3H11_contig_1_1771

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05894: Glutamate N-acetyltransferase (EC 2.3.1.35)

+

complex_subunit_optional_ftr05894: 0

+

complex_subunit_triggering_ftr05894: 1

+

complex_subunit_features_ftr05894: GW101-3H11_contig_1_1100

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01352: Ribonucleotide reductase of class III (anaerobic), large subunit (EC 1.17.4.2)

+

complex_subunit_optional_ftr01352: 0

+

complex_subunit_triggering_ftr01352: 1

+

complex_subunit_features_ftr01352: GW101-3H11_contig_1_219

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05562: Cytosine deaminase (EC 3.5.4.1)

+

complex_subunit_optional_ftr05562: 0

+

complex_subunit_triggering_ftr05562: 1

+

complex_subunit_features_ftr05562: GW101-3H11_contig_1_1318;GW101-3H11_contig_1_2364

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02462: Glycine betaine transporter OpuD

+

complex_subunit_optional_ftr02462: 0

+

complex_subunit_triggering_ftr02462: 1

+

complex_subunit_features_ftr02462: GW101-3H11_contig_1_177

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04192: Aerobic glycerol-3-phosphate dehydrogenase (EC 1.1.5.3)

+

complex_subunit_optional_ftr04192: 0

+

complex_subunit_triggering_ftr04192: 1

+

complex_subunit_features_ftr04192: GW101-3H11_contig_1_4502

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00897: Similar to CDP-glucose 4,6-dehydratase (EC 4.2.1.45)

+

complex_subunit_optional_ftr00897: 0

+

complex_subunit_triggering_ftr00897: 1

+

complex_subunit_features_ftr00897: GW101-3H11_contig_1_4358

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr50635: Quinolinate synthetase (EC 2.5.1.72)

+

complex_subunit_optional_ftr50635: 0

+

complex_subunit_triggering_ftr50635: 1

+

complex_subunit_features_ftr50635: GW101-3H11_contig_1_3985

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08956: S-(hydroxymethyl)glutathione dehydrogenase (EC 1.1.1.284)

+

complex_subunit_optional_ftr08956: 0

+

complex_subunit_triggering_ftr08956: 1

+

complex_subunit_features_ftr08956: GW101-3H11_contig_1_1741

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03609: S-adenosylhomocysteine nucleosidase (EC 3.2.2.9)

+

complex_subunit_optional_ftr03609: 0

+

complex_subunit_triggering_ftr03609: 1

+

complex_subunit_features_ftr03609: GW101-3H11_contig_1_2371;GW101-3H11_contig_1_4641

+

complex_subunit_note_ftr04133: 5'-methylthioadenosine nucleosidase (EC 3.2.2.16)

+

complex_subunit_optional_ftr04133: 0

+

complex_subunit_triggering_ftr04133: 1

+

complex_subunit_features_ftr04133: GW101-3H11_contig_1_2371;GW101-3H11_contig_1_4641

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03366: Threonine dehydratase, catabolic (EC 4.3.1.19)

+

complex_subunit_optional_ftr03366: 0

+

complex_subunit_triggering_ftr03366: 1

+

complex_subunit_features_ftr03366: GW101-3H11_contig_1_214

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03810: Threonine dehydratase biosynthetic (EC 4.3.1.19)

+

complex_subunit_optional_ftr03810: 0

+

complex_subunit_triggering_ftr03810: 1

+

complex_subunit_features_ftr03810: GW101-3H11_contig_1_958

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06159: L-serine dehydratase, beta subunit (EC 4.3.1.17)

+

complex_subunit_optional_ftr06159: 0

+

complex_subunit_triggering_ftr06159: 1

+

complex_subunit_features_ftr06159: GW101-3H11_contig_1_3326

+

complex_subunit_note_ftr06158: L-serine dehydratase, alpha subunit (EC 4.3.1.17)

+

complex_subunit_optional_ftr06158: 0

+

complex_subunit_triggering_ftr06158: 1

+

complex_subunit_features_ftr06158: GW101-3H11_contig_1_3326

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01051: pyridoxal-phosphate dependent enzyme family protein

+

complex_subunit_optional_tftr01051: 0

+

complex_subunit_triggering_tftr01051: 1

+

complex_subunit_features_tftr01051: GW101-3H11_contig_1_3931;GW101-3H11_contig_1_4396

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr15817: D-arabinose 5-phosphate isomerase (EC 5.3.1.13)

+

complex_subunit_optional_ftr15817: 0

+

complex_subunit_triggering_ftr15817: 1

+

complex_subunit_features_ftr15817: GW101-3H11_contig_1_4946

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10139: Bis(5'-nucleosyl)-tetraphosphatase, symmetrical (EC 3.6.1.41)

+

complex_subunit_optional_ftr10139: 0

+

complex_subunit_triggering_ftr10139: 1

+

complex_subunit_features_ftr10139: GW101-3H11_contig_1_1398

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05342: Inorganic pyrophosphatase (EC 3.6.1.1)

+

complex_subunit_optional_ftr05342: 0

+

complex_subunit_triggering_ftr05342: 1

+

complex_subunit_features_ftr05342: GW101-3H11_contig_1_3037

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09495: Murein-DD-endopeptidase (EC 3.4.99.-)

+

complex_subunit_optional_ftr09495: 0

+

complex_subunit_triggering_ftr09495: 1

+

complex_subunit_features_ftr09495: GW101-3H11_contig_1_3016

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05901: D-alanyl-D-alanine carboxypeptidase (EC 3.4.16.4)

+

complex_subunit_optional_ftr05901: 0

+

complex_subunit_triggering_ftr05901: 1

+

complex_subunit_features_ftr05901: GW101-3H11_contig_1_415;GW101-3H11_contig_1_4635

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02511: Probable low-affinity inorganic phosphate transporter

+

complex_subunit_optional_ftr02511: 0

+

complex_subunit_triggering_ftr02511: 1

+

complex_subunit_features_ftr02511: GW101-3H11_contig_1_3851

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07685: Orotidine 5'-phosphate decarboxylase (EC 4.1.1.23)

+

complex_subunit_optional_ftr07685: 0

+

complex_subunit_triggering_ftr07685: 1

+

complex_subunit_features_ftr07685: GW101-3H11_contig_1_4822

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08429: Thiamin-phosphate pyrophosphorylase (EC 2.5.1.3)

+

complex_subunit_optional_ftr08429: 0

+

complex_subunit_triggering_ftr08429: 1

+

complex_subunit_features_ftr08429: GW101-3H11_contig_1_2978

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04443: Ornithine decarboxylase (EC 4.1.1.17)

+

complex_subunit_optional_ftr04443: 0

+

complex_subunit_triggering_ftr04443: 1

+

complex_subunit_features_ftr04443: GW101-3H11_contig_1_1873

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04027: 2-hydroxyhepta-2,4-diene-1,7-dioate isomerase (EC 5.3.3.-)

+

complex_subunit_optional_ftr04027: 0

+

complex_subunit_triggering_ftr04027: 1

+

complex_subunit_features_ftr04027: GW101-3H11_contig_1_3651

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00445: 2,4-dihydroxyhept-2-ene-1,7-dioic acid aldolase (EC 4.1.2.52)

+

complex_subunit_optional_tftr00445: 0

+

complex_subunit_triggering_tftr00445: 1

+

complex_subunit_features_tftr00445: GW101-3H11_contig_1_337;GW101-3H11_contig_1_3646

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01635: 5,10-methylenetetrahydrofolate reductase (EC 1.5.1.20)

+

complex_subunit_optional_ftr01635: 0

+

complex_subunit_triggering_ftr01635: 1

+

complex_subunit_features_ftr01635: GW101-3H11_contig_1_4263

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08308: 5-methyltetrahydropteroyltriglutamate--homocysteine methyltransferase (EC 2.1.1.14)

+

complex_subunit_optional_ftr08308: 0

+

complex_subunit_triggering_ftr08308: 1

+

complex_subunit_features_ftr08308: GW101-3H11_contig_1_2455

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09924: Diacylglycerol kinase (EC 2.7.1.107)

+

complex_subunit_optional_ftr09924: 0

+

complex_subunit_triggering_ftr09924: 1

+

complex_subunit_features_ftr09924: GW101-3H11_contig_1_3026

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: GW101-3H11_contig_1_441

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03565: Xanthine dehydrogenase, FAD binding subunit (EC 1.17.1.4)

+

complex_subunit_optional_ftr03565: 0

+

complex_subunit_triggering_ftr03565: 1

+

complex_subunit_features_ftr03565: GW101-3H11_contig_1_1369

+

complex_subunit_note_ftr03564: Xanthine dehydrogenase iron-sulfur subunit (EC 1.17.1.4)

+

complex_subunit_optional_ftr03564: 0

+

complex_subunit_triggering_ftr03564: 1

+

complex_subunit_features_ftr03564: GW101-3H11_contig_1_1369

+

complex_subunit_note_ftr03563: Xanthine dehydrogenase, molybdenum binding subunit (EC 1.17.1.4)

+

complex_subunit_optional_ftr03563: 0

+

complex_subunit_triggering_ftr03563: 1

+

complex_subunit_features_ftr03563: GW101-3H11_contig_1_1368

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00653: Nucleoside 5-triphosphatase RdgB (dHAPTP, dITP, XTP-specific) (EC 3.6.1.66)

+

complex_subunit_optional_tftr00653: 0

+

complex_subunit_triggering_tftr00653: 1

+

complex_subunit_features_tftr00653: GW101-3H11_contig_1_1253

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04037: Tryptophan synthase beta chain (EC 4.2.1.20)

+

complex_subunit_optional_ftr04037: 0

+

complex_subunit_triggering_ftr04037: 1

+

complex_subunit_features_ftr04037: GW101-3H11_contig_1_3695

+

complex_subunit_note_ftr04036: Tryptophan synthase alpha chain (EC 4.2.1.20)

+

complex_subunit_optional_ftr04036: 0

+

complex_subunit_triggering_ftr04036: 1

+

complex_subunit_features_ftr04036: GW101-3H11_contig_1_3696

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00639: Nitric-oxide reductase (EC 1.7.99.7), quinol-dependent

+

complex_subunit_optional_ftr00639: 0

+

complex_subunit_triggering_ftr00639: 1

+

complex_subunit_features_ftr00639: GW101-3H11_contig_1_217

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01537: Tetraacyldisaccharide 4'-kinase (EC 2.7.1.130)

+

complex_subunit_optional_ftr01537: 0

+

complex_subunit_triggering_ftr01537: 1

+

complex_subunit_features_ftr01537: GW101-3H11_contig_1_2415

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05094: UDP-N-acetylmuramate:L-alanyl-gamma-D-glutamyl-meso-diaminopimelate ligase (EC 6.3.2.-)

+

complex_subunit_optional_ftr05094: 0

+

complex_subunit_triggering_ftr05094: 1

+

complex_subunit_features_ftr05094: GW101-3H11_contig_1_4174

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02983: 2-Keto-3-deoxy-D-manno-octulosonate-8-phosphate synthase (EC 2.5.1.55)

+

complex_subunit_optional_ftr02983: 0

+

complex_subunit_triggering_ftr02983: 1

+

complex_subunit_features_ftr02983: GW101-3H11_contig_1_3552

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04715: Aspartokinase (EC 2.7.2.4)

+

complex_subunit_optional_ftr04715: 0

+

complex_subunit_triggering_ftr04715: 1

+

complex_subunit_features_ftr04715: GW101-3H11_contig_1_2641;GW101-3H11_contig_1_3402

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05040: Kynureninase (EC 3.7.1.3)

+

complex_subunit_optional_ftr05040: 0

+

complex_subunit_triggering_ftr05040: 1

+

complex_subunit_features_ftr05040: GW101-3H11_contig_1_1417

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06656: Pyridoxamine 5'-phosphate oxidase (EC 1.4.3.5)

+

complex_subunit_optional_ftr06656: 0

+

complex_subunit_triggering_ftr06656: 1

+

complex_subunit_features_ftr06656: GW101-3H11_contig_1_2567

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03525: 3-oxoacyl-[acyl-carrier-protein] synthase, KASI (EC 2.3.1.41)

+

complex_subunit_optional_ftr03525: 0

+

complex_subunit_triggering_ftr03525: 1

+

complex_subunit_features_ftr03525: GW101-3H11_contig_1_777

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr50676: 3-oxoacyl-[acyl-carrier-protein] synthase, KASII (EC 2.3.1.179)

+

complex_subunit_optional_ftr50676: 0

+

complex_subunit_triggering_ftr50676: 1

+

complex_subunit_features_ftr50676: GW101-3H11_contig_1_3740;GW101-3H11_contig_1_4247

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07791: Histidine ammonia-lyase (EC 4.3.1.3)

+

complex_subunit_optional_ftr07791: 0

+

complex_subunit_triggering_ftr07791: 1

+

complex_subunit_features_ftr07791: GW101-3H11_contig_1_2241

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00494: 3-ketoacyl-CoA thiolase [fadN-fadA-fadE operon] (EC 2.3.1.16)

+

complex_subunit_optional_tftr00494: 0

+

complex_subunit_triggering_tftr00494: 1

+

complex_subunit_features_tftr00494: GW101-3H11_contig_1_838

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00146: 3-ketoacyl-CoA thiolase (EC 2.3.1.16)

+

complex_subunit_optional_ftr00146: 0

+

complex_subunit_triggering_ftr00146: 1

+

complex_subunit_features_ftr00146: GW101-3H11_contig_1_2022;GW101-3H11_contig_1_2049;GW101-3H11_contig_1_2276;GW101-3H11_contig_1_2849;GW101-3H11_contig_1_304;GW101-3H11_contig_1_305;GW101-3H11_contig_1_4316;GW101-3H11_contig_1_855

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05919: Cysteine synthase (EC 2.5.1.47)

+

complex_subunit_optional_ftr05919: 0

+

complex_subunit_triggering_ftr05919: 1

+

complex_subunit_features_ftr05919: GW101-3H11_contig_1_894

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06577: Asparagine synthetase [glutamine-hydrolyzing] (EC 6.3.5.4)

+

complex_subunit_optional_ftr06577: 0

+

complex_subunit_triggering_ftr06577: 1

+

complex_subunit_features_ftr06577: GW101-3H11_contig_1_3718

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02915: N-Acetylneuraminate cytidylyltransferase (EC 2.7.7.43)

+

complex_subunit_optional_ftr02915: 0

+

complex_subunit_triggering_ftr02915: 1

+

complex_subunit_features_ftr02915: GW101-3H11_contig_1_3703

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03035: Branched-chain acyl-CoA dehydrogenase (EC 1.3.99.12)

+

complex_subunit_optional_ftr03035: 0

+

complex_subunit_triggering_ftr03035: 1

+

complex_subunit_features_ftr03035: GW101-3H11_contig_1_2441

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05191: L-arabinolactonase (EC 3.1.1.15)

+

complex_subunit_optional_ftr05191: 0

+

complex_subunit_triggering_ftr05191: 1

+

complex_subunit_features_ftr05191: GW101-3H11_contig_1_2922

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06759: 2-oxoglutarate dehydrogenase E1 component (EC 1.2.4.2)

+

complex_subunit_optional_ftr06759: 0

+

complex_subunit_triggering_ftr06759: 1

+

complex_subunit_features_ftr06759: GW101-3H11_contig_1_2335

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01408: Acyl carrier protein

+

complex_subunit_optional_ftr01408: 1

+

complex_subunit_triggering_ftr01408: 0

+

complex_subunit_features_ftr01408: GW101-3H11_contig_1_3741

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02633: Glycerophosphoryl diester phosphodiesterase (EC 3.1.4.46)

+

complex_subunit_optional_ftr02633: 0

+

complex_subunit_triggering_ftr02633: 1

+

complex_subunit_features_ftr02633: GW101-3H11_contig_1_1125

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03814: 2-isopropylmalate synthase (EC 2.3.3.13)

+

complex_subunit_optional_ftr03814: 0

+

complex_subunit_triggering_ftr03814: 1

+

complex_subunit_features_ftr03814: GW101-3H11_contig_1_3017;GW101-3H11_contig_1_61

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04737: Biotin carboxyl carrier protein of acetyl-CoA carboxylase

+

complex_subunit_optional_ftr04737: 0

+

complex_subunit_triggering_ftr04737: 1

+

complex_subunit_features_ftr04737: GW101-3H11_contig_1_4171

+

complex_subunit_note_ftr04738: Biotin carboxylase of acetyl-CoA carboxylase (EC 6.3.4.14)

+

complex_subunit_optional_ftr04738: 0

+

complex_subunit_triggering_ftr04738: 1

+

complex_subunit_features_ftr04738: GW101-3H11_contig_1_4170

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05920: Cysteine synthase B (EC 2.5.1.47)

+

complex_subunit_optional_ftr05920: 0

+

complex_subunit_triggering_ftr05920: 1

+

complex_subunit_features_ftr05920: GW101-3H11_contig_1_1533

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01663: Shikimate kinase I (EC 2.7.1.71)

+

complex_subunit_optional_ftr01663: 0

+

complex_subunit_triggering_ftr01663: 1

+

complex_subunit_features_ftr01663: GW101-3H11_contig_1_265

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr33503: 3-phosphoshikimate 1-carboxyvinyltransferase (EC 2.5.1.19)

+

complex_subunit_optional_ftr33503: 0

+

complex_subunit_triggering_ftr33503: 1

+

complex_subunit_features_ftr33503: GW101-3H11_contig_1_2223

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00383: Cyclohexadienyl dehydrogenase (EC 1.3.1.12)(EC 1.3.1.43)

+

complex_subunit_optional_ftr00383: 0

+

complex_subunit_triggering_ftr00383: 1

+

complex_subunit_features_ftr00383: GW101-3H11_contig_1_2224

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05913: Sulfate adenylyltransferase subunit 1 (EC 2.7.7.4)

+

complex_subunit_optional_ftr05913: 0

+

complex_subunit_triggering_ftr05913: 1

+

complex_subunit_features_ftr05913: GW101-3H11_contig_1_2968

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05328: Adenylylsulfate kinase (EC 2.7.1.25)

+

complex_subunit_optional_ftr05328: 0

+

complex_subunit_triggering_ftr05328: 1

+

complex_subunit_features_ftr05328: GW101-3H11_contig_1_4888

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00280: acyl-CoA dehydrogenase

+

complex_subunit_optional_tftr00280: 0

+

complex_subunit_triggering_tftr00280: 1

+

complex_subunit_features_tftr00280: GW101-3H11_contig_1_2070;GW101-3H11_contig_1_2284;GW101-3H11_contig_1_2984;GW101-3H11_contig_1_4899;GW101-3H11_contig_1_585;GW101-3H11_contig_1_850;GW101-3H11_contig_1_856

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00381: Acyl-CoA dehydrogenase, short-chain specific (EC 1.3.8.1)

+

complex_subunit_optional_tftr00381: 0

+

complex_subunit_triggering_tftr00381: 1

+

complex_subunit_features_tftr00381: GW101-3H11_contig_1_4314

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00807: Acyl-CoA dehydrogenase, long-chain specific (EC 1.3.8.8)

+

complex_subunit_optional_tftr00807: 0

+

complex_subunit_triggering_tftr00807: 1

+

complex_subunit_features_tftr00807: GW101-3H11_contig_1_2073;GW101-3H11_contig_1_3873

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02625: Diaminopimelate epimerase (EC 5.1.1.7)

+

complex_subunit_optional_ftr02625: 0

+

complex_subunit_triggering_ftr02625: 1

+

complex_subunit_features_ftr02625: GW101-3H11_contig_1_912

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07793: Formiminoglutamic iminohydrolase (EC 3.5.3.13)

+

complex_subunit_optional_ftr07793: 0

+

complex_subunit_triggering_ftr07793: 1

+

complex_subunit_features_ftr07793: GW101-3H11_contig_1_2250

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06497: Guanosine-3',5'-bis(diphosphate) 3'-pyrophosphohydrolase (EC 3.1.7.2)

+

complex_subunit_optional_ftr06497: 0

+

complex_subunit_triggering_ftr06497: 1

+

complex_subunit_features_ftr06497: GW101-3H11_contig_1_1246

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10626: Nitrite reductase [NAD(P)H] small subunit (EC 1.7.1.4)

+

complex_subunit_optional_ftr10626: 0

+

complex_subunit_triggering_ftr10626: 1

+

complex_subunit_features_ftr10626: GW101-3H11_contig_1_1671;GW101-3H11_contig_1_2163

+

complex_subunit_note_ftr10625: Nitrite reductase [NAD(P)H] large subunit (EC 1.7.1.4)

+

complex_subunit_optional_ftr10625: 0

+

complex_subunit_triggering_ftr10625: 1

+

complex_subunit_features_ftr10625: GW101-3H11_contig_1_1673;GW101-3H11_contig_1_2162

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01997: NADH dehydrogenase (EC 1.6.99.3)

+

complex_subunit_optional_ftr01997: 0

+

complex_subunit_triggering_ftr01997: 1

+

complex_subunit_features_ftr01997: GW101-3H11_contig_1_392

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00724: Copper/silver efflux RND transporter, transmembrane protein CusA

+

complex_subunit_optional_tftr00724: 0

+

complex_subunit_triggering_tftr00724: 1

+

complex_subunit_features_tftr00724: GW101-3H11_contig_1_2757;GW101-3H11_contig_1_642

+

complex_subunit_note_tftr00060: Copper/silver efflux RND transporter, membrane fusion protein CusB

+

complex_subunit_optional_tftr00060: 0

+

complex_subunit_triggering_tftr00060: 1

+

complex_subunit_features_tftr00060: GW101-3H11_contig_1_2758;GW101-3H11_contig_1_641

+

complex_subunit_note_tftr01033: Copper/silver efflux RND transporter, outer membrane protein CusC

+

complex_subunit_optional_tftr01033: 0

+

complex_subunit_triggering_tftr01033: 1

+

complex_subunit_features_tftr01033: GW101-3H11_contig_1_2759;GW101-3H11_contig_1_640

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05029: 1-pyrroline-4-hydroxy-2-carboxylate deaminase (EC 3.5.4.22)

+

complex_subunit_optional_ftr05029: 0

+

complex_subunit_triggering_ftr05029: 1

+

complex_subunit_features_ftr05029: GW101-3H11_contig_1_2719

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr31447: adenosylcobinamide-phosphate synthase (EC 6.3.1.10)

+

complex_subunit_optional_ftr31447: 0

+

complex_subunit_triggering_ftr31447: 1

+

complex_subunit_features_ftr31447: GW101-3H11_contig_1_3262

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00546: D-galactarate dehydratase (EC 4.2.1.42)

+

complex_subunit_optional_ftr00546: 0

+

complex_subunit_triggering_ftr00546: 1

+

complex_subunit_features_ftr00546: GW101-3H11_contig_1_4098

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07649: Porphobilinogen deaminase (EC 2.5.1.61)

+

complex_subunit_optional_ftr07649: 0

+

complex_subunit_triggering_ftr07649: 1

+

complex_subunit_features_ftr07649: GW101-3H11_contig_1_1548

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06119: Phosphatidylserine decarboxylase (EC 4.1.1.65)

+

complex_subunit_optional_ftr06119: 0

+

complex_subunit_triggering_ftr06119: 1

+

complex_subunit_features_ftr06119: GW101-3H11_contig_1_2252

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05481: Cyanate hydratase (EC 4.2.1.104)

+

complex_subunit_optional_ftr05481: 0

+

complex_subunit_triggering_ftr05481: 1

+

complex_subunit_features_ftr05481: GW101-3H11_contig_1_696

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00229: Pyruvate kinase (EC 2.7.1.40)

+

complex_subunit_optional_ftr00229: 0

+

complex_subunit_triggering_ftr00229: 1

+

complex_subunit_features_ftr00229: GW101-3H11_contig_1_4651

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: GW101-3H11_contig_1_441

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01074: Dephospho-CoA kinase (EC 2.7.1.24)

+

complex_subunit_optional_ftr01074: 0

+

complex_subunit_triggering_ftr01074: 1

+

complex_subunit_features_ftr01074: GW101-3H11_contig_1_1105

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02802: ATP phosphoribosyltransferase regulatory subunit (EC 2.4.2.17)

+

complex_subunit_optional_ftr02802: 0

+

complex_subunit_triggering_ftr02802: 1

+

complex_subunit_features_ftr02802: GW101-3H11_contig_1_1825

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00230: ATP phosphoribosyltransferase (EC 2.4.2.17) => HisGs

+

complex_subunit_optional_tftr00230: 0

+

complex_subunit_triggering_tftr00230: 1

+

complex_subunit_features_tftr00230: GW101-3H11_contig_1_1067

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00004: Ketol-acid reductoisomerase (NADP(+)) (EC 1.1.1.86)

+

complex_subunit_optional_tftr00004: 0

+

complex_subunit_triggering_tftr00004: 1

+

complex_subunit_features_tftr00004: GW101-3H11_contig_1_3019

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: GW101-3H11_contig_1_441

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02327: Glycerol-3-phosphate ABC transporter, permease protein UgpE (TC 3.A.1.1.3)

+

complex_subunit_optional_ftr02327: 0

+

complex_subunit_triggering_ftr02327: 1

+

complex_subunit_features_ftr02327: GW101-3H11_contig_1_1127

+

complex_subunit_note_tftr00365: Glycerol-3-phosphate ABC transporter, substrate-binding protein UgpB

+

complex_subunit_optional_tftr00365: 0

+

complex_subunit_triggering_tftr00365: 1

+

complex_subunit_features_tftr00365: GW101-3H11_contig_1_1129

+

complex_subunit_note_ftr02328: Glycerol-3-phosphate ABC transporter, permease protein UgpA (TC 3.A.1.1.3)

+

complex_subunit_optional_ftr02328: 0

+

complex_subunit_triggering_ftr02328: 1

+

complex_subunit_features_ftr02328: GW101-3H11_contig_1_1128

+

complex_subunit_note_ftr02326: Glycerol-3-phosphate ABC transporter, ATP-binding protein UgpC (TC 3.A.1.1.3)

+

complex_subunit_optional_ftr02326: 0

+

complex_subunit_triggering_ftr02326: 1

+

complex_subunit_features_ftr02326: GW101-3H11_contig_1_1126

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11145: GMP reductase (EC 1.7.1.7)

+

complex_subunit_optional_ftr11145: 0

+

complex_subunit_triggering_ftr11145: 1

+

complex_subunit_features_ftr11145: GW101-3H11_contig_1_3825

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06631: NAD-dependent glyceraldehyde-3-phosphate dehydrogenase (EC 1.2.1.12)

+

complex_subunit_optional_ftr06631: 0

+

complex_subunit_triggering_ftr06631: 1

+

complex_subunit_features_ftr06631: GW101-3H11_contig_1_4657

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02189: Aquaporin Z

+

complex_subunit_optional_ftr02189: 0

+

complex_subunit_triggering_ftr02189: 1

+

complex_subunit_features_ftr02189: GW101-3H11_contig_1_678

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09870: Inositol-1-monophosphatase (EC 3.1.3.25)

+

complex_subunit_optional_ftr09870: 0

+

complex_subunit_triggering_ftr09870: 1

+

complex_subunit_features_ftr09870: GW101-3H11_contig_1_1640

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02565: Sodium/glutamate symporter

+

complex_subunit_optional_ftr02565: 0

+

complex_subunit_triggering_ftr02565: 1

+

complex_subunit_features_ftr02565: GW101-3H11_contig_1_2110

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10814: Propionyl-CoA carboxylase biotin-containing subunit (EC 6.4.1.3)

+

complex_subunit_optional_ftr10814: 0

+

complex_subunit_triggering_ftr10814: 1

+

complex_subunit_features_ftr10814: GW101-3H11_contig_1_2526

+

complex_subunit_note_ftr07928: Propionyl-CoA carboxylase carboxyl transferase subunit (EC 6.4.1.3)

+

complex_subunit_optional_ftr07928: 0

+

complex_subunit_triggering_ftr07928: 1

+

complex_subunit_features_ftr07928: GW101-3H11_contig_1_2525

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00056: Probable sulfite reductase

+

complex_subunit_optional_tftr00056: 0

+

complex_subunit_triggering_tftr00056: 1

+

complex_subunit_features_tftr00056: GW101-3H11_contig_1_4470

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr30820: dihydroorotate dehydrogenase (quinone) (EC 1.3.5.2)

+

complex_subunit_optional_ftr30820: 0

+

complex_subunit_triggering_ftr30820: 1

+

complex_subunit_features_ftr30820: GW101-3H11_contig_1_2654

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07650: Uroporphyrinogen-III synthase (EC 4.2.1.75)

+

complex_subunit_optional_ftr07650: 0

+

complex_subunit_triggering_ftr07650: 1

+

complex_subunit_features_ftr07650: GW101-3H11_contig_1_1547

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01120: Urea ABC transporter, permease protein UrtB

+

complex_subunit_optional_ftr01120: 0

+

complex_subunit_triggering_ftr01120: 1

+

complex_subunit_features_ftr01120: GW101-3H11_contig_1_1292

+

complex_subunit_note_ftr01122: Urea ABC transporter, ATPase protein UrtD

+

complex_subunit_optional_ftr01122: 0

+

complex_subunit_triggering_ftr01122: 1

+

complex_subunit_features_ftr01122: GW101-3H11_contig_1_1294

+

complex_subunit_note_ftr01123: Urea ABC transporter, ATPase protein UrtE

+

complex_subunit_optional_ftr01123: 0

+

complex_subunit_triggering_ftr01123: 1

+

complex_subunit_features_ftr01123: GW101-3H11_contig_1_1296

+

complex_subunit_note_tftr00923: Urea ABC transporter, substrate binding protein UrtA

+

complex_subunit_optional_tftr00923: 0

+

complex_subunit_triggering_tftr00923: 1

+

complex_subunit_features_tftr00923: GW101-3H11_contig_1_1291

+

complex_subunit_note_ftr01121: Urea ABC transporter, permease protein UrtC

+

complex_subunit_optional_ftr01121: 0

+

complex_subunit_triggering_ftr01121: 1

+

complex_subunit_features_ftr01121: GW101-3H11_contig_1_1293

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03142: Enoyl-CoA hydratase (EC 4.2.1.17)

+

complex_subunit_optional_ftr03142: 0

+

complex_subunit_triggering_ftr03142: 1

+

complex_subunit_features_ftr03142: GW101-3H11_contig_1_1715;GW101-3H11_contig_1_2016;GW101-3H11_contig_1_2071;GW101-3H11_contig_1_2275;GW101-3H11_contig_1_2375;GW101-3H11_contig_1_2980;GW101-3H11_contig_1_2981;GW101-3H11_contig_1_303;GW101-3H11_contig_1_3293;GW101-3H11_contig_1_586;GW101-3H11_contig_1_689;GW101-3H11_contig_1_71;GW101-3H11_contig_1_841;GW101-3H11_contig_1_863

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08499: Phospho-N-acetylmuramoyl-pentapeptide-transferase (EC 2.7.8.13)

+

complex_subunit_optional_ftr08499: 0

+

complex_subunit_triggering_ftr08499: 1

+

complex_subunit_features_ftr08499: GW101-3H11_contig_1_931

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08483: Adenylate kinase (EC 2.7.4.3)

+

complex_subunit_optional_ftr08483: 0

+

complex_subunit_triggering_ftr08483: 1

+

complex_subunit_features_ftr08483: GW101-3H11_contig_1_2412

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02823: 3-dehydroquinate synthase (EC 4.2.3.4)

+

complex_subunit_optional_ftr02823: 0

+

complex_subunit_triggering_ftr02823: 1

+

complex_subunit_features_ftr02823: GW101-3H11_contig_1_1049

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00476: Glutamate-pyruvate aminotransferase AlaC (EC 2.6.1.2)

+

complex_subunit_optional_tftr00476: 0

+

complex_subunit_triggering_tftr00476: 1

+

complex_subunit_features_tftr00476: GW101-3H11_contig_1_1308

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr34768: alanine transaminase (EC 2.6.1.2)

+

complex_subunit_optional_ftr34768: 0

+

complex_subunit_triggering_ftr34768: 1

+

complex_subunit_features_ftr34768: GW101-3H11_contig_1_3672

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00765: Pyruvate:Oxaloacetate transcarboxylase domain protein

+

complex_subunit_optional_ftr00765: 0

+

complex_subunit_triggering_ftr00765: 1

+

complex_subunit_features_ftr00765: GW101-3H11_contig_1_3175;GW101-3H11_contig_1_3465;GW101-3H11_contig_1_558

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01437: Copper-translocating P-type ATPase (EC 3.6.3.4)

+

complex_subunit_optional_ftr01437: 0

+

complex_subunit_triggering_ftr01437: 1

+

complex_subunit_features_ftr01437: GW101-3H11_contig_1_2761;GW101-3H11_contig_1_2778;GW101-3H11_contig_1_3290;GW101-3H11_contig_1_616;GW101-3H11_contig_1_638;GW101-3H11_contig_1_82

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06315: Cob(I)alamin adenosyltransferase (EC 2.5.1.17)

+

complex_subunit_optional_ftr06315: 0

+

complex_subunit_triggering_ftr06315: 1

+

complex_subunit_features_ftr06315: GW101-3H11_contig_1_3263

+ + + + + + +

complex_source: SEED

+

complex_subunit_note_ftr18: ATP:Cob(I)alamin adenosyltransferase (EC 2.5.1.17)

+

complex_subunit_optional_ftr18: 0

+

complex_subunit_triggering_ftr18: 1

+

complex_subunit_features_ftr18: GW101-3H11_contig_1_158

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01702: Serine hydroxymethyltransferase (EC 2.1.2.1)

+

complex_subunit_optional_ftr01702: 0

+

complex_subunit_triggering_ftr01702: 1

+

complex_subunit_features_ftr01702: GW101-3H11_contig_1_1868

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03628: 1-phosphofructokinase (EC 2.7.1.56)

+

complex_subunit_optional_ftr03628: 0

+

complex_subunit_triggering_ftr03628: 1

+

complex_subunit_features_ftr03628: GW101-3H11_contig_1_4520

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05893: Argininosuccinate lyase (EC 4.3.2.1)

+

complex_subunit_optional_ftr05893: 0

+

complex_subunit_triggering_ftr05893: 1

+

complex_subunit_features_ftr05893: GW101-3H11_contig_1_238;GW101-3H11_contig_1_3796

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02813: Histidinol-phosphatase (EC 3.1.3.15)

+

complex_subunit_optional_ftr02813: 0

+

complex_subunit_triggering_ftr02813: 1

+

complex_subunit_features_ftr02813: GW101-3H11_contig_1_787

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04949: dTDP-glucose 4,6-dehydratase (EC 4.2.1.46)

+

complex_subunit_optional_ftr04949: 0

+

complex_subunit_triggering_ftr04949: 1

+

complex_subunit_features_ftr04949: GW101-3H11_contig_1_4354;GW101-3H11_contig_1_798

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05824: Alcohol dehydrogenase (EC 1.1.1.1)

+

complex_subunit_optional_ftr05824: 0

+

complex_subunit_triggering_ftr05824: 1

+

complex_subunit_features_ftr05824: GW101-3H11_contig_1_2302

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03199: 1-deoxy-D-xylulose 5-phosphate reductoisomerase (EC 1.1.1.267)

+

complex_subunit_optional_ftr03199: 0

+

complex_subunit_triggering_ftr03199: 1

+

complex_subunit_features_ftr03199: GW101-3H11_contig_1_3119

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11149: AMP nucleosidase (EC 3.2.2.4)

+

complex_subunit_optional_ftr11149: 0

+

complex_subunit_triggering_ftr11149: 1

+

complex_subunit_features_ftr11149: GW101-3H11_contig_1_701

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03136: Acetyl-CoA acetyltransferase (EC 2.3.1.9)

+

complex_subunit_optional_ftr03136: 0

+

complex_subunit_triggering_ftr03136: 1

+

complex_subunit_features_ftr03136: GW101-3H11_contig_1_2049;GW101-3H11_contig_1_2276;GW101-3H11_contig_1_2500;GW101-3H11_contig_1_2849;GW101-3H11_contig_1_304;GW101-3H11_contig_1_4067;GW101-3H11_contig_1_855

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03608: S-adenosylmethionine synthetase (EC 2.5.1.6)

+

complex_subunit_optional_ftr03608: 0

+

complex_subunit_triggering_ftr03608: 1

+

complex_subunit_features_ftr03608: GW101-3H11_contig_1_1029

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01611: Orotate phosphoribosyltransferase (EC 2.4.2.10)

+

complex_subunit_optional_ftr01611: 0

+

complex_subunit_triggering_ftr01611: 1

+

complex_subunit_features_ftr01611: GW101-3H11_contig_1_369

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00970: GTP cyclohydrolase I (EC 3.5.4.16) type 1

+

complex_subunit_optional_ftr00970: 0

+

complex_subunit_triggering_ftr00970: 1

+

complex_subunit_features_ftr00970: GW101-3H11_contig_1_1153

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00373: GTP cyclohydrolase 1 type 2 homolog YbgI

+

complex_subunit_optional_tftr00373: 0

+

complex_subunit_triggering_tftr00373: 1

+

complex_subunit_features_tftr00373: GW101-3H11_contig_1_1089

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07557: D(-)-3-hydroxybutyrate oligomer hydrolase (EC 3.1.1.22)

+

complex_subunit_optional_ftr07557: 0

+

complex_subunit_triggering_ftr07557: 1

+

complex_subunit_features_ftr07557: GW101-3H11_contig_1_3379

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02333: High-affinity branched-chain amino acid transport system permease protein LivH (TC 3.A.1.4.1)

+

complex_subunit_optional_ftr02333: 0

+

complex_subunit_triggering_ftr02333: 1

+

complex_subunit_features_ftr02333: GW101-3H11_contig_1_1697

+

complex_subunit_note_tftr00963: Branched-chain amino acid ABC transporter, ATP-binding protein LivF (TC 3.A.1.4.1)

+

complex_subunit_optional_tftr00963: 0

+

complex_subunit_triggering_tftr00963: 1

+

complex_subunit_features_tftr00963: GW101-3H11_contig_1_3342;GW101-3H11_contig_1_3655;GW101-3H11_contig_1_3854

+

complex_subunit_note_tftr00169: Leucine-specific ABC transporter, substrate-binding protein LivK (TC 3.A.1.4.1)

+

complex_subunit_optional_tftr00169: 0

+

complex_subunit_triggering_tftr00169: 1

+

complex_subunit_features_tftr00169: GW101-3H11_contig_1_74

+

complex_subunit_note_ftr02331: Branched-chain amino acid transport ATP-binding protein livG (TC 3.A.1.4.1)

+

complex_subunit_optional_ftr02331: 0

+

complex_subunit_triggering_ftr02331: 1

+

complex_subunit_features_ftr02331: GW101-3H11_contig_1_1695;GW101-3H11_contig_1_3656

+

complex_subunit_note_tftr00782: ABC transporter, ATP-binding protein 1 (cluster 4, leucine/isoleucine/valine/benzoate)

+

complex_subunit_optional_tftr00782: 0

+

complex_subunit_triggering_tftr00782: 1

+

complex_subunit_features_tftr00782: GW101-3H11_contig_1_281;GW101-3H11_contig_1_3343;GW101-3H11_contig_1_3383;GW101-3H11_contig_1_665;GW101-3H11_contig_1_77;GW101-3H11_contig_1_860

+

complex_subunit_note_tftr00510: ABC transporter, ATP-binding protein 2 (cluster 4, leucine/isoleucine/valine/benzoate)

+

complex_subunit_optional_tftr00510: 0

+

complex_subunit_triggering_tftr00510: 1

+

complex_subunit_features_tftr00510: GW101-3H11_contig_1_1694;GW101-3H11_contig_1_282;GW101-3H11_contig_1_3382;GW101-3H11_contig_1_661;GW101-3H11_contig_1_73;GW101-3H11_contig_1_859

+

complex_subunit_note_tftr00775: Branched-chain amino acid ABC transporter, substrate-binding protein LivJ (TC 3.A.1.4.1)

+

complex_subunit_optional_tftr00775: 0

+

complex_subunit_triggering_tftr00775: 1

+

complex_subunit_features_tftr00775: GW101-3H11_contig_1_1690;GW101-3H11_contig_1_2720;GW101-3H11_contig_1_4434

+

complex_subunit_note_tftr01136: Branched-chain amino acid ABC transporter, permease protein LivH (TC 3.A.1.4.1)

+

complex_subunit_optional_tftr01136: 0

+

complex_subunit_triggering_tftr01136: 1

+

complex_subunit_features_tftr01136: GW101-3H11_contig_1_3658;GW101-3H11_contig_1_3857

+

complex_subunit_note_tftr00188: Branched-chain amino acid ABC transporter, ATP-binding protein LivG (TC 3.A.1.4.1)

+

complex_subunit_optional_tftr00188: 0

+

complex_subunit_triggering_tftr00188: 1

+

complex_subunit_features_tftr00188: GW101-3H11_contig_1_3855

+

complex_subunit_note_tftr00297: Branched-chain amino acid ABC transporter, permease protein LivM (TC 3.A.1.4.1)

+

complex_subunit_optional_tftr00297: 0

+

complex_subunit_triggering_tftr00297: 1

+

complex_subunit_features_tftr00297: GW101-3H11_contig_1_3856

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06142: Fructose-1,6-bisphosphatase, type I (EC 3.1.3.11)

+

complex_subunit_optional_ftr06142: 0

+

complex_subunit_triggering_ftr06142: 1

+

complex_subunit_features_ftr06142: GW101-3H11_contig_1_2165

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06369: 4-hydroxythreonine-4-phosphate dehydrogenase (EC 1.1.1.262)

+

complex_subunit_optional_ftr06369: 0

+

complex_subunit_triggering_ftr06369: 1

+

complex_subunit_features_ftr06369: GW101-3H11_contig_1_1090

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01405: Aldehyde dehydrogenase (EC 1.2.1.3)

+

complex_subunit_optional_ftr01405: 0

+

complex_subunit_triggering_ftr01405: 1

+

complex_subunit_features_ftr01405: GW101-3H11_contig_1_3051;GW101-3H11_contig_1_3636;GW101-3H11_contig_1_4829

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05049: NAD kinase (EC 2.7.1.23)

+

complex_subunit_optional_ftr05049: 0

+

complex_subunit_triggering_ftr05049: 1

+

complex_subunit_features_ftr05049: GW101-3H11_contig_1_1180

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03037: Enoyl-CoA hydratase [isoleucine degradation] (EC 4.2.1.17)

+

complex_subunit_optional_ftr03037: 0

+

complex_subunit_triggering_ftr03037: 1

+

complex_subunit_features_ftr03037: GW101-3H11_contig_1_854

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04030: Anthranilate synthase, aminase component (EC 4.1.3.27)

+

complex_subunit_optional_ftr04030: 0

+

complex_subunit_triggering_ftr04030: 1

+

complex_subunit_features_ftr04030: GW101-3H11_contig_1_4532

+

complex_subunit_note_ftr04031: Anthranilate synthase, amidotransferase component (EC 4.1.3.27)

+

complex_subunit_optional_ftr04031: 0

+

complex_subunit_triggering_ftr04031: 1

+

complex_subunit_features_ftr04031: GW101-3H11_contig_1_4530

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00441: Undecaprenyl-phosphate alpha-N-acetylglucosaminyl 1-phosphate transferase (EC 2.7.8.33)

+

complex_subunit_optional_tftr00441: 0

+

complex_subunit_triggering_tftr00441: 1

+

complex_subunit_features_tftr00441: GW101-3H11_contig_1_828

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: GW101-3H11_contig_1_441

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00351: Poly(3-hydroxybutyrate) depolymerase precursor (EC 3.1.1.75)

+

complex_subunit_optional_tftr00351: 0

+

complex_subunit_triggering_tftr00351: 1

+

complex_subunit_features_tftr00351: GW101-3H11_contig_1_3384

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01957: Acyl-CoA dehydrogenase, short-chain specific (EC 1.3.99.2)

+

complex_subunit_optional_ftr01957: 0

+

complex_subunit_triggering_ftr01957: 1

+

complex_subunit_features_ftr01957: GW101-3H11_contig_1_2072

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00746: Phosphoenolpyruvate carboxykinase [GTP] (EC 4.1.1.32)

+

complex_subunit_optional_ftr00746: 0

+

complex_subunit_triggering_ftr00746: 1

+

complex_subunit_features_ftr00746: GW101-3H11_contig_1_211

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04193: Glycerol-3-phosphate dehydrogenase [NAD(P)+] (EC 1.1.1.94)

+

complex_subunit_optional_ftr04193: 0

+

complex_subunit_triggering_ftr04193: 1

+

complex_subunit_features_ftr04193: GW101-3H11_contig_1_4008

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr50480: 3-oxoacyl-[acyl-carrier-protein] synthase, KASIII (EC 2.3.1.180)

+

complex_subunit_optional_ftr50480: 0

+

complex_subunit_triggering_ftr50480: 1

+

complex_subunit_features_ftr50480: GW101-3H11_contig_1_3744

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00305: 3-oxoacyl-[acyl-carrier protein] reductase (EC 1.1.1.100), FadG

+

complex_subunit_optional_tftr00305: 0

+

complex_subunit_triggering_tftr00305: 1

+

complex_subunit_features_tftr00305: GW101-3H11_contig_1_3742

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10735: Vanillate O-demethylase oxygenase subunit (EC 1.14.13.82)

+

complex_subunit_optional_ftr10735: 0

+

complex_subunit_triggering_ftr10735: 1

+

complex_subunit_features_ftr10735: GW101-3H11_contig_1_4682

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02815: Histidinol dehydrogenase (EC 1.1.1.23)

+

complex_subunit_optional_ftr02815: 0

+

complex_subunit_triggering_ftr02815: 1

+

complex_subunit_features_ftr02815: GW101-3H11_contig_1_1069

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10820: Glycine oxidase ThiO (EC 1.4.3.19)

+

complex_subunit_optional_ftr10820: 0

+

complex_subunit_triggering_ftr10820: 1

+

complex_subunit_features_ftr10820: GW101-3H11_contig_1_2975

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05027: D-amino-acid oxidase (EC 1.4.3.3)

+

complex_subunit_optional_ftr05027: 0

+

complex_subunit_triggering_ftr05027: 1

+

complex_subunit_features_ftr05027: GW101-3H11_contig_1_2722

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00080: Gamma-glutamyltranspeptidase (EC 2.3.2.2)

+

complex_subunit_optional_ftr00080: 0

+

complex_subunit_triggering_ftr00080: 1

+

complex_subunit_features_ftr00080: GW101-3H11_contig_1_127;GW101-3H11_contig_1_1351;GW101-3H11_contig_1_3448;GW101-3H11_contig_1_4523

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02137: Ammonium transporter

+

complex_subunit_optional_ftr02137: 0

+

complex_subunit_triggering_ftr02137: 1

+

complex_subunit_features_ftr02137: GW101-3H11_contig_1_311;GW101-3H11_contig_1_3627;GW101-3H11_contig_1_385

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00907: 4-carboxy-4-hydroxy-2-oxoadipate aldolase (EC 4.1.3.17)

+

complex_subunit_optional_tftr00907: 0

+

complex_subunit_triggering_tftr00907: 1

+

complex_subunit_features_tftr00907: GW101-3H11_contig_1_4672

+ + + + + + +

complex_source: SEED

+

complex_subunit_note_ftr13: GMP synthase [glutamine-hydrolyzing], ATP pyrophosphatase subunit (EC 6.3.5.2)

+

complex_subunit_optional_ftr13: 0

+

complex_subunit_triggering_ftr13: 1

+

complex_subunit_features_ftr13: GW101-3H11_contig_1_1932

+ + + + + + +

complex_source: SEED

+

complex_subunit_note_ftr12: GMP synthase [glutamine-hydrolyzing], amidotransferase subunit (EC 6.3.5.2)

+

complex_subunit_optional_ftr12: 0

+

complex_subunit_triggering_ftr12: 1

+

complex_subunit_features_ftr12: GW101-3H11_contig_1_1932

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05896: Beta N-acetyl-glucosaminidase (EC 3.2.1.52)

+

complex_subunit_optional_ftr05896: 0

+

complex_subunit_triggering_ftr05896: 1

+

complex_subunit_features_ftr05896: GW101-3H11_contig_1_3727

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07794: N-formylglutamate deformylase (EC 3.5.1.68)

+

complex_subunit_optional_ftr07794: 0

+

complex_subunit_triggering_ftr07794: 1

+

complex_subunit_features_ftr07794: GW101-3H11_contig_1_2251;GW101-3H11_contig_1_3130

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01636: GTP cyclohydrolase II (EC 3.5.4.25)

+

complex_subunit_optional_ftr01636: 0

+

complex_subunit_triggering_ftr01636: 1

+

complex_subunit_features_ftr01636: GW101-3H11_contig_1_1771

+ + + + + + +

complex_source: KEGG

+

complex_subunit_note_ftr31977: arylsulfatase (EC 3.1.6.1)

+

complex_subunit_optional_ftr31977: 0

+

complex_subunit_triggering_ftr31977: 1

+

complex_subunit_features_ftr31977: GW101-3H11_contig_1_4423

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01884: 4-hydroxyphenylpyruvate dioxygenase (EC 1.13.11.27)

+

complex_subunit_optional_ftr01884: 0

+

complex_subunit_triggering_ftr01884: 1

+

complex_subunit_features_ftr01884: GW101-3H11_contig_1_4778;GW101-3H11_contig_1_4779;GW101-3H11_contig_1_766

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01178: ABC transporter, ATP-binding protein (cluster 5, nickel/peptides/opines)

+

complex_subunit_optional_tftr01178: 0

+

complex_subunit_triggering_tftr01178: 1

+

complex_subunit_features_tftr01178: GW101-3H11_contig_1_1163;GW101-3H11_contig_1_1164;GW101-3H11_contig_1_1879;GW101-3H11_contig_1_2431;GW101-3H11_contig_1_4610;GW101-3H11_contig_1_4904;GW101-3H11_contig_1_968;GW101-3H11_contig_1_969

+

complex_subunit_note_tftr00183: ABC transporter, permease protein 2 (cluster 5, nickel/peptides/opines)

+

complex_subunit_optional_tftr00183: 0

+

complex_subunit_triggering_tftr00183: 1

+

complex_subunit_features_tftr00183: GW101-3H11_contig_1_1165;GW101-3H11_contig_1_1878;GW101-3H11_contig_1_2432;GW101-3H11_contig_1_4609;GW101-3H11_contig_1_4905;GW101-3H11_contig_1_967

+

complex_subunit_note_tftr00870: ABC transporter, permease protein 1 (cluster 5, nickel/peptides/opines)

+

complex_subunit_optional_tftr00870: 0

+

complex_subunit_triggering_tftr00870: 1

+

complex_subunit_features_tftr00870: GW101-3H11_contig_1_1166;GW101-3H11_contig_1_1877;GW101-3H11_contig_1_2433;GW101-3H11_contig_1_4608;GW101-3H11_contig_1_4906;GW101-3H11_contig_1_964

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00284: O-succinylhomoserine sulfhydrylase (EC 2.5.1.48)

+

complex_subunit_optional_tftr00284: 0

+

complex_subunit_triggering_tftr00284: 1

+

complex_subunit_features_tftr00284: GW101-3H11_contig_1_1861;GW101-3H11_contig_1_2349;GW101-3H11_contig_1_2999;GW101-3H11_contig_1_4407;GW101-3H11_contig_1_4408

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03956: 2-methylcitrate synthase (EC 2.3.3.5)

+

complex_subunit_optional_ftr03956: 0

+

complex_subunit_triggering_ftr03956: 1

+

complex_subunit_features_ftr03956: GW101-3H11_contig_1_2480

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07036: O-acetylhomoserine sulfhydrylase (EC 2.5.1.49)

+

complex_subunit_optional_ftr07036: 0

+

complex_subunit_triggering_ftr07036: 1

+

complex_subunit_features_ftr07036: GW101-3H11_contig_1_1861;GW101-3H11_contig_1_2349;GW101-3H11_contig_1_2999;GW101-3H11_contig_1_4407;GW101-3H11_contig_1_4408

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00321: Ornithine cyclodeaminase-like protein

+

complex_subunit_optional_tftr00321: 0

+

complex_subunit_triggering_tftr00321: 1

+

complex_subunit_features_tftr00321: GW101-3H11_contig_1_1383

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04451: Ornithine cyclodeaminase (EC 4.3.1.12)

+

complex_subunit_optional_ftr04451: 0

+

complex_subunit_triggering_ftr04451: 1

+

complex_subunit_features_ftr04451: GW101-3H11_contig_1_559

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: GW101-3H11_contig_1_441

+

complex_subunit_note_ftr02641: Maltoporin (maltose/maltodextrin high-affinity receptor, phage lambda receptor protein)

+

complex_subunit_optional_ftr02641: 0

+

complex_subunit_triggering_ftr02641: 1

+

complex_subunit_features_ftr02641: GW101-3H11_contig_1_979

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01082: Trk potassium uptake system protein TrkH

+

complex_subunit_optional_tftr01082: 0

+

complex_subunit_triggering_tftr01082: 1

+

complex_subunit_features_tftr01082: GW101-3H11_contig_1_4598

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01155: Trk potassium uptake system protein TrkA

+

complex_subunit_optional_tftr01155: 0

+

complex_subunit_triggering_tftr01155: 1

+

complex_subunit_features_tftr01155: GW101-3H11_contig_1_4599

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00794: Kup system potassium uptake protein

+

complex_subunit_optional_ftr00794: 0

+

complex_subunit_triggering_ftr00794: 1

+

complex_subunit_features_ftr00794: GW101-3H11_contig_1_4596

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04857: 3-demethylubiquinol 3-O-methyltransferase (EC 2.1.1.64)

+

complex_subunit_optional_ftr04857: 0

+

complex_subunit_triggering_ftr04857: 1

+

complex_subunit_features_ftr04857: GW101-3H11_contig_1_2229

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03033: Methylglutaconyl-CoA hydratase (EC 4.2.1.18)

+

complex_subunit_optional_ftr03033: 0

+

complex_subunit_triggering_ftr03033: 1

+

complex_subunit_features_ftr03033: GW101-3H11_contig_1_4294

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01704: Methylenetetrahydrofolate dehydrogenase (NADP+) (EC 1.5.1.5)

+

complex_subunit_optional_ftr01704: 0

+

complex_subunit_triggering_ftr01704: 1

+

complex_subunit_features_ftr01704: GW101-3H11_contig_1_2650

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05213: 3-deoxy-D-manno-octulosonate 8-phosphate phosphatase (EC 3.1.3.45)

+

complex_subunit_optional_ftr05213: 0

+

complex_subunit_triggering_ftr05213: 1

+

complex_subunit_features_ftr05213: GW101-3H11_contig_1_4945

+ + + + + + +

complex_source: PlantSEED

+

complex_subunit_note_ftr50051: 4-hydroxy-tetrahydrodipicolinate synthase (EC 4.3.3.7)

+

complex_subunit_optional_ftr50051: 0

+

complex_subunit_triggering_ftr50051: 1

+

complex_subunit_features_ftr50051: GW101-3H11_contig_1_3541

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00223: 2-hydroxy-3-oxopropionate reductase (EC 1.1.1.60)

+

complex_subunit_optional_ftr00223: 0

+

complex_subunit_triggering_ftr00223: 1

+

complex_subunit_features_ftr00223: GW101-3H11_contig_1_1349;GW101-3H11_contig_1_3827;GW101-3H11_contig_1_4237;GW101-3H11_contig_1_498

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03205: Undecaprenyl diphosphate synthase (EC 2.5.1.31)

+

complex_subunit_optional_ftr03205: 0

+

complex_subunit_triggering_ftr03205: 1

+

complex_subunit_features_ftr03205: GW101-3H11_contig_1_3121

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03565: Xanthine dehydrogenase, FAD binding subunit (EC 1.17.1.4)

+

complex_subunit_optional_ftr03565: 0

+

complex_subunit_triggering_ftr03565: 1

+

complex_subunit_features_ftr03565: GW101-3H11_contig_1_1369

+

complex_subunit_note_ftr03564: Xanthine dehydrogenase iron-sulfur subunit (EC 1.17.1.4)

+

complex_subunit_optional_ftr03564: 0

+

complex_subunit_triggering_ftr03564: 1

+

complex_subunit_features_ftr03564: GW101-3H11_contig_1_1369

+

complex_subunit_note_ftr03563: Xanthine dehydrogenase, molybdenum binding subunit (EC 1.17.1.4)

+

complex_subunit_optional_ftr03563: 0

+

complex_subunit_triggering_ftr03563: 1

+

complex_subunit_features_ftr03563: GW101-3H11_contig_1_1368

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07900: Isocitrate lyase (EC 4.1.3.1)

+

complex_subunit_optional_ftr07900: 0

+

complex_subunit_triggering_ftr07900: 1

+

complex_subunit_features_ftr07900: GW101-3H11_contig_1_1954

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01609: Dihydroorotase (EC 3.5.2.3)

+

complex_subunit_optional_ftr01609: 0

+

complex_subunit_triggering_ftr01609: 1

+

complex_subunit_features_ftr01609: GW101-3H11_contig_1_4121;GW101-3H11_contig_1_884

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00809: Amine oxidase, flavin-containing

+

complex_subunit_optional_tftr00809: 0

+

complex_subunit_triggering_tftr00809: 1

+

complex_subunit_features_tftr00809: GW101-3H11_contig_1_4787

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01186: Phosphate ABC transporter, permease protein PstA (TC 3.A.1.7.1)

+

complex_subunit_optional_tftr01186: 0

+

complex_subunit_triggering_tftr01186: 1

+

complex_subunit_features_tftr01186: GW101-3H11_contig_1_3086

+

complex_subunit_note_tftr01054: Phosphate ABC transporter, ATP-binding protein PstB (TC 3.A.1.7.1)

+

complex_subunit_optional_tftr01054: 0

+

complex_subunit_triggering_tftr01054: 1

+

complex_subunit_features_tftr01054: GW101-3H11_contig_1_3085

+

complex_subunit_note_tftr00967: Phosphate ABC transporter, substrate-binding protein PstS (TC 3.A.1.7.1)

+

complex_subunit_optional_tftr00967: 0

+

complex_subunit_triggering_tftr00967: 1

+

complex_subunit_features_tftr00967: GW101-3H11_contig_1_3088;GW101-3H11_contig_1_3237

+

complex_subunit_note_tftr00397: Phosphate ABC transporter, permease protein PstC (TC 3.A.1.7.1)

+

complex_subunit_optional_tftr00397: 0

+

complex_subunit_triggering_tftr00397: 1

+

complex_subunit_features_tftr00397: GW101-3H11_contig_1_3087

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02529: ABC transporter, ATP-binding protein

+

complex_subunit_optional_ftr02529: 0

+

complex_subunit_triggering_ftr02529: 1

+

complex_subunit_features_ftr02529: GW101-3H11_contig_1_770

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05808: Dihydrolipoamide succinyltransferase component (E2) of 2-oxoglutarate dehydrogenase complex (EC 2.3.1.61)

+

complex_subunit_optional_ftr05808: 0

+

complex_subunit_triggering_ftr05808: 1

+

complex_subunit_features_ftr05808: GW101-3H11_contig_1_2336

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08303: Homoserine dehydrogenase (EC 1.1.1.3)

+

complex_subunit_optional_ftr08303: 0

+

complex_subunit_triggering_ftr08303: 1

+

complex_subunit_features_ftr08303: GW101-3H11_contig_1_25;GW101-3H11_contig_1_3671

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04716: Aspartate-semialdehyde dehydrogenase (EC 1.2.1.11)

+

complex_subunit_optional_ftr04716: 0

+

complex_subunit_triggering_ftr04716: 1

+

complex_subunit_features_ftr04716: GW101-3H11_contig_1_3691

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06770: Malate dehydrogenase (EC 1.1.1.37)

+

complex_subunit_optional_ftr06770: 0

+

complex_subunit_triggering_ftr06770: 1

+

complex_subunit_features_ftr06770: GW101-3H11_contig_1_1750

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00848: L-lactate dehydrogenase

+

complex_subunit_optional_tftr00848: 0

+

complex_subunit_triggering_tftr00848: 1

+

complex_subunit_features_tftr00848: GW101-3H11_contig_1_1947;GW101-3H11_contig_1_3787;GW101-3H11_contig_1_3928

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00393: N-acetylornithine aminotransferase (EC 2.6.1.11)

+

complex_subunit_optional_tftr00393: 0

+

complex_subunit_triggering_tftr00393: 1

+

complex_subunit_features_tftr00393: GW101-3H11_contig_1_1430

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06374: Riboflavin kinase (EC 2.7.1.26)

+

complex_subunit_optional_ftr06374: 0

+

complex_subunit_triggering_ftr06374: 1

+

complex_subunit_features_ftr06374: GW101-3H11_contig_1_3877

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08446: Triosephosphate isomerase (EC 5.3.1.1)

+

complex_subunit_optional_ftr08446: 0

+

complex_subunit_triggering_ftr08446: 1

+

complex_subunit_features_ftr08446: GW101-3H11_contig_1_3617

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01845: Fructose-bisphosphate aldolase class II (EC 4.1.2.13)

+

complex_subunit_optional_ftr01845: 0

+

complex_subunit_triggering_ftr01845: 1

+

complex_subunit_features_ftr01845: GW101-3H11_contig_1_4647

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02127: Methionine ABC transporter substrate-binding protein

+

complex_subunit_optional_ftr02127: 0

+

complex_subunit_triggering_ftr02127: 1

+

complex_subunit_features_ftr02127: GW101-3H11_contig_1_2890

+

complex_subunit_note_ftr02128: Methionine ABC transporter permease protein

+

complex_subunit_optional_ftr02128: 0

+

complex_subunit_triggering_ftr02128: 1

+

complex_subunit_features_ftr02128: GW101-3H11_contig_1_2905

+

complex_subunit_note_ftr12604: Methionine ABC transporter ATP-binding protein

+

complex_subunit_optional_ftr12604: 0

+

complex_subunit_triggering_ftr12604: 1

+

complex_subunit_features_ftr12604: GW101-3H11_contig_1_2906

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01771: Glutamine synthetase type I (EC 6.3.1.2)

+

complex_subunit_optional_ftr01771: 0

+

complex_subunit_triggering_ftr01771: 1

+

complex_subunit_features_ftr01771: GW101-3H11_contig_1_1834

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05396: Porphobilinogen synthase (EC 4.2.1.24)

+

complex_subunit_optional_ftr05396: 0

+

complex_subunit_triggering_ftr05396: 1

+

complex_subunit_features_ftr05396: GW101-3H11_contig_1_410

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04739: Acetyl-coenzyme A carboxyl transferase alpha chain (EC 6.4.1.2)

+

complex_subunit_optional_ftr04739: 0

+

complex_subunit_triggering_ftr04739: 1

+

complex_subunit_features_ftr04739: GW101-3H11_contig_1_3405

+

complex_subunit_note_ftr04740: Acetyl-coenzyme A carboxyl transferase beta chain (EC 6.4.1.2)

+

complex_subunit_optional_ftr04740: 0

+

complex_subunit_triggering_ftr04740: 1

+

complex_subunit_features_ftr04740: GW101-3H11_contig_1_3697

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00820: Phospholipase A1 (EC 3.1.1.32) (EC 3.1.1.4)

+

complex_subunit_optional_tftr00820: 0

+

complex_subunit_triggering_tftr00820: 1

+

complex_subunit_features_tftr00820: GW101-3H11_contig_1_4437

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05915: Phosphoadenylyl-sulfate reductase [thioredoxin] (EC 1.8.4.8)

+

complex_subunit_optional_ftr05915: 0

+

complex_subunit_triggering_ftr05915: 1

+

complex_subunit_features_ftr05915: GW101-3H11_contig_1_2966

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01013: Phosphopantetheine adenylyltransferase (EC 2.7.7.3)

+

complex_subunit_optional_ftr01013: 0

+

complex_subunit_triggering_ftr01013: 1

+

complex_subunit_features_ftr01013: GW101-3H11_contig_1_4012

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00544: 5-dehydro-4-deoxyglucarate dehydratase (EC 4.2.1.41)

+

complex_subunit_optional_ftr00544: 0

+

complex_subunit_triggering_ftr00544: 1

+

complex_subunit_features_ftr00544: GW101-3H11_contig_1_2461;GW101-3H11_contig_1_3207

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00548: L(+)-tartrate dehydratase alpha subunit (EC 4.2.1.32)

+

complex_subunit_optional_ftr00548: 0

+

complex_subunit_triggering_ftr00548: 1

+

complex_subunit_features_ftr00548: GW101-3H11_contig_1_2897

+

complex_subunit_note_ftr00549: L(+)-tartrate dehydratase beta subunit (EC 4.2.1.32)

+

complex_subunit_optional_ftr00549: 0

+

complex_subunit_triggering_ftr00549: 1

+

complex_subunit_features_ftr00549: GW101-3H11_contig_1_2898

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr31734: anhydro-N-acetylmuramic acid kinase (EC 2.7.1.170)

+

complex_subunit_optional_ftr31734: 0

+

complex_subunit_triggering_ftr31734: 1

+

complex_subunit_features_ftr31734: GW101-3H11_contig_1_4254

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01631: Phosphoribosyl-AMP cyclohydrolase (EC 3.5.4.19)

+

complex_subunit_optional_ftr01631: 0

+

complex_subunit_triggering_ftr01631: 1

+

complex_subunit_features_ftr01631: GW101-3H11_contig_1_1080

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01843: 2-dehydro-3-deoxyphosphogluconate aldolase (EC 4.1.2.14)

+

complex_subunit_optional_ftr01843: 0

+

complex_subunit_triggering_ftr01843: 1

+

complex_subunit_features_ftr01843: GW101-3H11_contig_1_999

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06317: L-threonine 3-O-phosphate decarboxylase (EC 4.1.1.81)

+

complex_subunit_optional_ftr06317: 0

+

complex_subunit_triggering_ftr06317: 1

+

complex_subunit_features_ftr06317: GW101-3H11_contig_1_3261

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04947: Glucose-1-phosphate thymidylyltransferase (EC 2.7.7.24)

+

complex_subunit_optional_ftr04947: 0

+

complex_subunit_triggering_ftr04947: 1

+

complex_subunit_features_ftr04947: GW101-3H11_contig_1_800

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr12754: D-Lactate dehydrogenase, cytochrome c-dependent (EC 1.1.2.4)

+

complex_subunit_optional_ftr12754: 0

+

complex_subunit_triggering_ftr12754: 1

+

complex_subunit_features_ftr12754: GW101-3H11_contig_1_146

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00226: Hydroxypyruvate reductase (EC 1.1.1.81)

+

complex_subunit_optional_ftr00226: 0

+

complex_subunit_triggering_ftr00226: 1

+

complex_subunit_features_ftr00226: GW101-3H11_contig_1_2200

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00482: Glyoxylate reductase (EC 1.1.1.79)

+

complex_subunit_optional_tftr00482: 0

+

complex_subunit_triggering_tftr00482: 1

+

complex_subunit_features_tftr00482: GW101-3H11_contig_1_2200

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11300: Adenosylcobinamide kinase (EC 2.7.1.156)

+

complex_subunit_optional_ftr11300: 0

+

complex_subunit_triggering_ftr11300: 1

+

complex_subunit_features_ftr11300: GW101-3H11_contig_1_3270

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03025: Branched-chain amino acid aminotransferase (EC 2.6.1.42)

+

complex_subunit_optional_ftr03025: 0

+

complex_subunit_triggering_ftr03025: 1

+

complex_subunit_features_ftr03025: GW101-3H11_contig_1_340

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05686: Omega-amino acid--pyruvate aminotransferase (EC 2.6.1.18)

+

complex_subunit_optional_ftr05686: 0

+

complex_subunit_triggering_ftr05686: 1

+

complex_subunit_features_ftr05686: GW101-3H11_contig_1_4878

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01876: Phenylalanine-4-hydroxylase (EC 1.14.16.1)

+

complex_subunit_optional_ftr01876: 0

+

complex_subunit_triggering_ftr01876: 1

+

complex_subunit_features_ftr01876: GW101-3H11_contig_1_764

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04099: Guanylate kinase (EC 2.7.4.8)

+

complex_subunit_optional_ftr04099: 0

+

complex_subunit_triggering_ftr04099: 1

+

complex_subunit_features_ftr04099: GW101-3H11_contig_1_1248

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00503: Glutamine--fructose-6-phosphate aminotransferase [isomerizing] (EC 2.6.1.16)

+

complex_subunit_optional_tftr00503: 0

+

complex_subunit_triggering_tftr00503: 1

+

complex_subunit_features_tftr00503: GW101-3H11_contig_1_4240

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05192: L-arabonate dehydratase (EC 4.2.1.25)

+

complex_subunit_optional_ftr05192: 0

+

complex_subunit_triggering_ftr05192: 1

+

complex_subunit_features_ftr05192: GW101-3H11_contig_1_2934

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09064: 6,7-dimethyl-8-ribityllumazine synthase (EC 2.5.1.78)

+

complex_subunit_optional_ftr09064: 0

+

complex_subunit_triggering_ftr09064: 1

+

complex_subunit_features_ftr09064: GW101-3H11_contig_1_1770

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03609: S-adenosylhomocysteine nucleosidase (EC 3.2.2.9)

+

complex_subunit_optional_ftr03609: 0

+

complex_subunit_triggering_ftr03609: 1

+

complex_subunit_features_ftr03609: GW101-3H11_contig_1_2371;GW101-3H11_contig_1_4641

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00545: Glucarate dehydratase (EC 4.2.1.40)

+

complex_subunit_optional_ftr00545: 0

+

complex_subunit_triggering_ftr00545: 1

+

complex_subunit_features_ftr00545: GW101-3H11_contig_1_3205

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00737: Phosphoenolpyruvate synthase (EC 2.7.9.2)

+

complex_subunit_optional_ftr00737: 0

+

complex_subunit_triggering_ftr00737: 1

+

complex_subunit_features_ftr00737: GW101-3H11_contig_1_3472;GW101-3H11_contig_1_4768

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00373: Chorismate mutase I (EC 5.4.99.5)

+

complex_subunit_optional_ftr00373: 0

+

complex_subunit_triggering_ftr00373: 1

+

complex_subunit_features_ftr00373: GW101-3H11_contig_1_2225

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00387: Prephenate dehydratase (EC 4.2.1.51)

+

complex_subunit_optional_ftr00387: 0

+

complex_subunit_triggering_ftr00387: 1

+

complex_subunit_features_ftr00387: GW101-3H11_contig_1_2225;GW101-3H11_contig_1_3440

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07621: UTP--glucose-1-phosphate uridylyltransferase (EC 2.7.7.9)

+

complex_subunit_optional_ftr07621: 0

+

complex_subunit_triggering_ftr07621: 1

+

complex_subunit_features_ftr07621: GW101-3H11_contig_1_1538

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04024: 5-carboxymethyl-2-hydroxymuconate delta-isomerase (EC 5.3.3.10)

+

complex_subunit_optional_ftr04024: 0

+

complex_subunit_triggering_ftr04024: 1

+

complex_subunit_features_ftr04024: GW101-3H11_contig_1_1147;GW101-3H11_contig_1_3648

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr33639: glutamate-1-semialdehyde 2,1-aminomutase (EC 5.4.3.8)

+

complex_subunit_optional_ftr33639: 0

+

complex_subunit_triggering_ftr33639: 1

+

complex_subunit_features_ftr33639: GW101-3H11_contig_1_4134

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01669: Ribose 5-phosphate isomerase A (EC 5.3.1.6)

+

complex_subunit_optional_ftr01669: 0

+

complex_subunit_triggering_ftr01669: 1

+

complex_subunit_features_ftr01669: GW101-3H11_contig_1_2653

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00155: Histidine ABC transporter, permease protein

+

complex_subunit_optional_tftr00155: 0

+

complex_subunit_triggering_tftr00155: 1

+

complex_subunit_features_tftr00155: GW101-3H11_contig_1_2238

+

complex_subunit_note_tftr00909: Histidine ABC transporter, substrate-binding protein

+

complex_subunit_optional_tftr00909: 0

+

complex_subunit_triggering_tftr00909: 1

+

complex_subunit_features_tftr00909: GW101-3H11_contig_1_2237

+

complex_subunit_note_tftr00636: Histidine ABC transporter, ATP-binding protein

+

complex_subunit_optional_tftr00636: 0

+

complex_subunit_triggering_tftr00636: 1

+

complex_subunit_features_tftr00636: GW101-3H11_contig_1_2239

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00095: Quinate/shikimate 5-dehydrogenase I delta (EC 1.1.1.25)

+

complex_subunit_optional_ftr00095: 0

+

complex_subunit_triggering_ftr00095: 1

+

complex_subunit_features_ftr00095: GW101-3H11_contig_1_4777

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00093: Shikimate 5-dehydrogenase I alpha (EC 1.1.1.25)

+

complex_subunit_optional_ftr00093: 0

+

complex_subunit_triggering_ftr00093: 1

+

complex_subunit_features_ftr00093: GW101-3H11_contig_1_4186

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05048: Glutamine amidotransferase chain of NAD synthetase

+

complex_subunit_optional_ftr05048: 0

+

complex_subunit_triggering_ftr05048: 1

+

complex_subunit_features_ftr05048: GW101-3H11_contig_1_1023;GW101-3H11_contig_1_3029

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00797: 2',3'-cyclic-nucleotide 2'-phosphodiesterase (EC 3.1.4.16)

+

complex_subunit_optional_ftr00797: 0

+

complex_subunit_triggering_ftr00797: 1

+

complex_subunit_features_ftr00797: GW101-3H11_contig_1_3938

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: GW101-3H11_contig_1_441

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00742: Phosphoenolpyruvate carboxylase (EC 4.1.1.31)

+

complex_subunit_optional_ftr00742: 0

+

complex_subunit_triggering_ftr00742: 1

+

complex_subunit_features_ftr00742: GW101-3H11_contig_1_1549

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01614: Amidophosphoribosyltransferase (EC 2.4.2.14)

+

complex_subunit_optional_ftr01614: 0

+

complex_subunit_triggering_ftr01614: 1

+

complex_subunit_features_ftr01614: GW101-3H11_contig_1_2191

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03201: 2-C-methyl-D-erythritol 2,4-cyclodiphosphate synthase (EC 4.6.1.12)

+

complex_subunit_optional_ftr03201: 0

+

complex_subunit_triggering_ftr03201: 1

+

complex_subunit_features_ftr03201: GW101-3H11_contig_1_3211

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00348: Cobyric acid synthase (EC 6.3.5.10)

+

complex_subunit_optional_tftr00348: 0

+

complex_subunit_triggering_tftr00348: 1

+

complex_subunit_features_tftr00348: GW101-3H11_contig_1_3258

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr34759: D-glycero-beta-D-manno-heptose 1,7-bisphosphate 7-phosphatase (EC 3.1.3.82)

+

complex_subunit_optional_ftr34759: 0

+

complex_subunit_triggering_ftr34759: 1

+

complex_subunit_features_ftr34759: GW101-3H11_contig_1_787

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00646: Phosphoribosylformimino-5-aminoimidazole carboxamide ribotide isomerase (EC 5.3.1.16)

+

complex_subunit_optional_ftr00646: 0

+

complex_subunit_triggering_ftr00646: 1

+

complex_subunit_features_ftr00646: GW101-3H11_contig_1_1077

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06019: Thymidine phosphorylase (EC 2.4.2.4)

+

complex_subunit_optional_ftr06019: 0

+

complex_subunit_triggering_ftr06019: 1

+

complex_subunit_features_ftr06019: GW101-3H11_contig_1_2601;GW101-3H11_contig_1_3155;GW101-3H11_contig_1_4811

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07912: Succinyl-CoA ligase [ADP-forming] alpha chain (EC 6.2.1.5)

+

complex_subunit_optional_ftr07912: 0

+

complex_subunit_triggering_ftr07912: 1

+

complex_subunit_features_ftr07912: GW101-3H11_contig_1_4751

+

complex_subunit_note_ftr07913: Succinyl-CoA ligase [ADP-forming] beta chain (EC 6.2.1.5)

+

complex_subunit_optional_ftr07913: 0

+

complex_subunit_triggering_ftr07913: 1

+

complex_subunit_features_ftr07913: GW101-3H11_contig_1_4750

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06573: NAD-specific glutamate dehydrogenase (EC 1.4.1.2)

+

complex_subunit_optional_ftr06573: 0

+

complex_subunit_triggering_ftr06573: 1

+

complex_subunit_features_ftr06573: GW101-3H11_contig_1_249

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11502: Thiosulfate sulfurtransferase, rhodanese (EC 2.8.1.1)

+

complex_subunit_optional_ftr11502: 0

+

complex_subunit_triggering_ftr11502: 1

+

complex_subunit_features_ftr11502: GW101-3H11_contig_1_1557;GW101-3H11_contig_1_2738

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: GW101-3H11_contig_1_441

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01127: L-threo-3-hydroxyaspartate ammonia-lyase (EC 4.3.1.16)

+

complex_subunit_optional_tftr01127: 0

+

complex_subunit_triggering_tftr01127: 1

+

complex_subunit_features_tftr01127: GW101-3H11_contig_1_2374;GW101-3H11_contig_1_3415

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05126: ABC-type nitrate/sulfonate/bicarbonate transport systems, periplasmic components

+

complex_subunit_optional_ftr05126: 0

+

complex_subunit_triggering_ftr05126: 1

+

complex_subunit_features_ftr05126: GW101-3H11_contig_1_1777

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07792: Imidazolonepropionase (EC 3.5.2.7)

+

complex_subunit_optional_ftr07792: 0

+

complex_subunit_triggering_ftr07792: 1

+

complex_subunit_features_ftr07792: GW101-3H11_contig_1_2249

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05655: Gamma-aminobutyrate:alpha-ketoglutarate aminotransferase (EC 2.6.1.19)

+

complex_subunit_optional_ftr05655: 0

+

complex_subunit_triggering_ftr05655: 1

+

complex_subunit_features_ftr05655: GW101-3H11_contig_1_2730

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr16091: Biotin--protein ligase (EC 6.3.4.9, EC 6.3.4.10, EC 6.3.4.11, EC 6.3.4.15)

+

complex_subunit_optional_ftr16091: 0

+

complex_subunit_triggering_ftr16091: 1

+

complex_subunit_features_ftr16091: GW101-3H11_contig_1_4736

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07238: D-mannose isomerase (EC 5.3.1.7)

+

complex_subunit_optional_ftr07238: 0

+

complex_subunit_triggering_ftr07238: 1

+

complex_subunit_features_ftr07238: GW101-3H11_contig_1_994

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07218: Probable VANILLIN dehydrogenase oxidoreductase protein (EC 1.-.-.-)

+

complex_subunit_optional_ftr07218: 0

+

complex_subunit_triggering_ftr07218: 1

+

complex_subunit_features_ftr07218: GW101-3H11_contig_1_1693

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01094: NAD-dependent dihydropyrimidine dehydrogenase subunit PreT (EC 1.3.1.1)

+

complex_subunit_optional_tftr01094: 0

+

complex_subunit_triggering_tftr01094: 1

+

complex_subunit_features_tftr01094: GW101-3H11_contig_1_1015

+

complex_subunit_note_tftr01062: NAD-dependent dihydropyrimidine dehydrogenase subunit PreA (EC 1.3.1.1)

+

complex_subunit_optional_tftr01062: 0

+

complex_subunit_triggering_tftr01062: 1

+

complex_subunit_features_tftr01062: GW101-3H11_contig_1_1016

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00224: Hydroxypyruvate isomerase (EC 5.3.1.22)

+

complex_subunit_optional_ftr00224: 0

+

complex_subunit_triggering_ftr00224: 1

+

complex_subunit_features_ftr00224: GW101-3H11_contig_1_1348;GW101-3H11_contig_1_4934

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00789: Spermidine/putrescine import ABC transporter permease protein PotC (TC 3.A.1.11.1)

+

complex_subunit_optional_tftr00789: 0

+

complex_subunit_triggering_tftr00789: 1

+

complex_subunit_features_tftr00789: GW101-3H11_contig_1_2734

+

complex_subunit_note_tftr00039: Spermidine/putrescine import ABC transporter ATP-binding protein PotA (TC 3.A.1.11.1)

+

complex_subunit_optional_tftr00039: 0

+

complex_subunit_triggering_tftr00039: 1

+

complex_subunit_features_tftr00039: GW101-3H11_contig_1_2731;GW101-3H11_contig_1_974

+

complex_subunit_note_tftr00998: Spermidine/putrescine import ABC transporter substrate-binding protein PotD (TC 3.A.1.11.1)

+

complex_subunit_optional_tftr00998: 0

+

complex_subunit_triggering_tftr00998: 1

+

complex_subunit_features_tftr00998: GW101-3H11_contig_1_2732

+

complex_subunit_note_tftr00377: Spermidine/putrescine import ABC transporter permease protein PotB (TC 3.A.1.11.1)

+

complex_subunit_optional_tftr00377: 0

+

complex_subunit_triggering_tftr00377: 1

+

complex_subunit_features_tftr00377: GW101-3H11_contig_1_2733

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04852: 4-hydroxybenzoate polyprenyltransferase (EC 2.5.1.39)

+

complex_subunit_optional_ftr04852: 0

+

complex_subunit_triggering_ftr04852: 1

+

complex_subunit_features_ftr04852: GW101-3H11_contig_1_4512

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08190: Copper homeostasis protein CutE

+

complex_subunit_optional_ftr08190: 0

+

complex_subunit_triggering_ftr08190: 1

+

complex_subunit_features_ftr08190: GW101-3H11_contig_1_775

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05795: Superoxide dismutase [Mn] (EC 1.15.1.1)

+

complex_subunit_optional_ftr05795: 0

+

complex_subunit_triggering_ftr05795: 1

+

complex_subunit_features_ftr05795: GW101-3H11_contig_1_2353;GW101-3H11_contig_1_2598;GW101-3H11_contig_1_605

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04239: Superoxide dismutase [Cu-Zn] precursor (EC 1.15.1.1)

+

complex_subunit_optional_ftr04239: 0

+

complex_subunit_triggering_ftr04239: 1

+

complex_subunit_features_ftr04239: GW101-3H11_contig_1_2552

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04238: Superoxide dismutase [Fe] (EC 1.15.1.1)

+

complex_subunit_optional_ftr04238: 0

+

complex_subunit_triggering_ftr04238: 1

+

complex_subunit_features_ftr04238: GW101-3H11_contig_1_2419;GW101-3H11_contig_1_2598;GW101-3H11_contig_1_605

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01382: Dihydrolipoamide acetyltransferase component of pyruvate dehydrogenase complex (EC 2.3.1.12)

+

complex_subunit_optional_ftr01382: 0

+

complex_subunit_triggering_ftr01382: 1

+

complex_subunit_features_ftr01382: GW101-3H11_contig_1_2404;GW101-3H11_contig_1_2646

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03960: 3-oxoadipate CoA-transferase subunit B (EC 2.8.3.6)

+

complex_subunit_optional_ftr03960: 0

+

complex_subunit_triggering_ftr03960: 1

+

complex_subunit_features_ftr03960: GW101-3H11_contig_1_4068

+

complex_subunit_note_ftr03961: 3-oxoadipate CoA-transferase subunit A (EC 2.8.3.6)

+

complex_subunit_optional_ftr03961: 0

+

complex_subunit_triggering_ftr03961: 1

+

complex_subunit_features_ftr03961: GW101-3H11_contig_1_4069

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00010: Succinyl-CoA:3-ketoacid-coenzyme A transferase subunit A (EC 2.8.3.5)

+

complex_subunit_optional_ftr00010: 0

+

complex_subunit_triggering_ftr00010: 1

+

complex_subunit_features_ftr00010: GW101-3H11_contig_1_2805

+

complex_subunit_note_ftr03043: Succinyl-CoA:3-ketoacid-coenzyme A transferase subunit B (EC 2.8.3.5)

+

complex_subunit_optional_ftr03043: 0

+

complex_subunit_triggering_ftr03043: 1

+

complex_subunit_features_ftr03043: GW101-3H11_contig_1_2804

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04441: Arginine decarboxylase (EC 4.1.1.19)

+

complex_subunit_optional_ftr04441: 0

+

complex_subunit_triggering_ftr04441: 1

+

complex_subunit_features_ftr04441: GW101-3H11_contig_1_1873

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01622: Coproporphyrinogen III oxidase, oxygen-independent (EC 1.3.99.22)

+

complex_subunit_optional_ftr01622: 0

+

complex_subunit_triggering_ftr01622: 1

+

complex_subunit_features_ftr01622: GW101-3H11_contig_1_3280

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00161: GDP-mannose pyrophosphatase NudK

+

complex_subunit_optional_tftr00161: 0

+

complex_subunit_triggering_tftr00161: 1

+

complex_subunit_features_tftr00161: GW101-3H11_contig_1_2637

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01408: Acyl carrier protein

+

complex_subunit_optional_ftr01408: 1

+

complex_subunit_triggering_ftr01408: 0

+

complex_subunit_features_ftr01408: GW101-3H11_contig_1_3741

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04025: 3,4-dihydroxyphenylacetate 2,3-dioxygenase (EC 1.13.11.15)

+

complex_subunit_optional_ftr04025: 0

+

complex_subunit_triggering_ftr04025: 1

+

complex_subunit_features_ftr04025: GW101-3H11_contig_1_1146;GW101-3H11_contig_1_3649

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03811: Valine--pyruvate aminotransferase (EC 2.6.1.66)

+

complex_subunit_optional_ftr03811: 0

+

complex_subunit_triggering_ftr03811: 1

+

complex_subunit_features_ftr03811: GW101-3H11_contig_1_1768

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08428: Hydroxymethylpyrimidine phosphate kinase ThiD (EC 2.7.4.7)

+

complex_subunit_optional_ftr08428: 0

+

complex_subunit_triggering_ftr08428: 1

+

complex_subunit_features_ftr08428: GW101-3H11_contig_1_2974;GW101-3H11_contig_1_4133

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05212: Lipid-A-disaccharide synthase (EC 2.4.1.182)

+

complex_subunit_optional_ftr05212: 0

+

complex_subunit_triggering_ftr05212: 1

+

complex_subunit_features_ftr05212: GW101-3H11_contig_1_3112

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06574: Aspartate aminotransferase (EC 2.6.1.1)

+

complex_subunit_optional_ftr06574: 0

+

complex_subunit_triggering_ftr06574: 1

+

complex_subunit_features_ftr06574: GW101-3H11_contig_1_1353;GW101-3H11_contig_1_2397;GW101-3H11_contig_1_2669;GW101-3H11_contig_1_28;GW101-3H11_contig_1_3209;GW101-3H11_contig_1_3522;GW101-3H11_contig_1_3765;GW101-3H11_contig_1_4063

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00633: FMN reductase (NADPH) (EC 1.5.1.38)

+

complex_subunit_optional_tftr00633: 0

+

complex_subunit_triggering_tftr00633: 1

+

complex_subunit_features_tftr00633: GW101-3H11_contig_1_2958

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01523: Alpha-aminoadipate aminotransferase (EC 2.6.1.39)

+

complex_subunit_optional_ftr01523: 0

+

complex_subunit_triggering_ftr01523: 1

+

complex_subunit_features_ftr01523: GW101-3H11_contig_1_4390

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04026: 5-carboxymethyl-2-hydroxymuconate semialdehyde dehydrogenase (EC 1.2.1.60)

+

complex_subunit_optional_ftr04026: 0

+

complex_subunit_triggering_ftr04026: 1

+

complex_subunit_features_ftr04026: GW101-3H11_contig_1_1145;GW101-3H11_contig_1_3650

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05090: Muramoyltetrapeptide carboxypeptidase (EC 3.4.17.13)

+

complex_subunit_optional_ftr05090: 0

+

complex_subunit_triggering_ftr05090: 1

+

complex_subunit_features_ftr05090: GW101-3H11_contig_1_2993

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03831: Homoserine kinase (EC 2.7.1.39)

+

complex_subunit_optional_ftr03831: 0

+

complex_subunit_triggering_ftr03831: 1

+

complex_subunit_features_ftr03831: GW101-3H11_contig_1_3814

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11096: Galactonate dehydratase (EC 4.2.1.6)

+

complex_subunit_optional_ftr11096: 0

+

complex_subunit_triggering_ftr11096: 1

+

complex_subunit_features_ftr11096: GW101-3H11_contig_1_2938

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09473: Sorbitol-6-phosphate 2-dehydrogenase (EC 1.1.1.140)

+

complex_subunit_optional_ftr09473: 0

+

complex_subunit_triggering_ftr09473: 1

+

complex_subunit_features_ftr09473: GW101-3H11_contig_1_3368

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02986: 4-diphosphocytidyl-2-C-methyl-D-erythritol kinase (EC 2.7.1.148)

+

complex_subunit_optional_ftr02986: 0

+

complex_subunit_triggering_ftr02986: 1

+

complex_subunit_features_ftr02986: GW101-3H11_contig_1_1172

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01632: Phosphoglycerate kinase (EC 2.7.2.3)

+

complex_subunit_optional_ftr01632: 0

+

complex_subunit_triggering_ftr01632: 1

+

complex_subunit_features_ftr01632: GW101-3H11_contig_1_4819

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02804: Adenylosuccinate synthetase (EC 6.3.4.4)

+

complex_subunit_optional_ftr02804: 0

+

complex_subunit_triggering_ftr02804: 1

+

complex_subunit_features_ftr02804: GW101-3H11_contig_1_1826

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00735: Carbonic anhydrase, beta class (EC 4.2.1.1)

+

complex_subunit_optional_tftr00735: 0

+

complex_subunit_triggering_tftr00735: 1

+

complex_subunit_features_tftr00735: GW101-3H11_contig_1_4318;GW101-3H11_contig_1_525

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04685: Glyoxylate reductase (EC 1.1.1.26)

+

complex_subunit_optional_ftr04685: 0

+

complex_subunit_triggering_ftr04685: 1

+

complex_subunit_features_ftr04685: GW101-3H11_contig_1_2200

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05813: Deoxyguanosinetriphosphate triphosphohydrolase (EC 3.1.5.1)

+

complex_subunit_optional_ftr05813: 0

+

complex_subunit_triggering_ftr05813: 1

+

complex_subunit_features_ftr05813: GW101-3H11_contig_1_1050

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00441: Chorismate synthase (EC 4.2.3.5)

+

complex_subunit_optional_ftr00441: 0

+

complex_subunit_triggering_ftr00441: 1

+

complex_subunit_features_ftr00441: GW101-3H11_contig_1_1864

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02960: Phenylalanyl-tRNA synthetase alpha chain (EC 6.1.1.20)

+

complex_subunit_optional_ftr02960: 0

+

complex_subunit_triggering_ftr02960: 1

+

complex_subunit_features_ftr02960: GW101-3H11_contig_1_1959

+

complex_subunit_note_ftr04753: SSU ribosomal protein S4p (S9e)

+

complex_subunit_optional_ftr04753: 0

+

complex_subunit_triggering_ftr04753: 1

+

complex_subunit_features_ftr04753: GW101-3H11_contig_1_4487

+

complex_subunit_note_ftr01514: LSU ribosomal protein L28p

+

complex_subunit_optional_ftr01514: 0

+

complex_subunit_triggering_ftr01514: 1

+

complex_subunit_features_ftr01514: GW101-3H11_contig_1_3863

+

complex_subunit_note_ftr02963: Glycyl-tRNA synthetase alpha chain (EC 6.1.1.14)

+

complex_subunit_optional_ftr02963: 0

+

complex_subunit_triggering_ftr02963: 1

+

complex_subunit_features_ftr02963: GW101-3H11_contig_1_785

+

complex_subunit_note_ftr06990: LSU ribosomal protein L5p (L11e)

+

complex_subunit_optional_ftr06990: 0

+

complex_subunit_triggering_ftr06990: 1

+

complex_subunit_features_ftr06990: GW101-3H11_contig_1_4499

+

complex_subunit_note_ftr06965: LSU ribosomal protein L32p

+

complex_subunit_optional_ftr06965: 0

+

complex_subunit_triggering_ftr06965: 1

+

complex_subunit_features_ftr06965: GW101-3H11_contig_1_3746

+

complex_subunit_note_ftr02977: Tryptophanyl-tRNA synthetase (EC 6.1.1.2)

+

complex_subunit_optional_ftr02977: 0

+

complex_subunit_triggering_ftr02977: 1

+

complex_subunit_features_ftr02977: GW101-3H11_contig_1_3917

+

complex_subunit_note_ftr07008: LSU ribosomal protein L25p

+

complex_subunit_optional_ftr07008: 0

+

complex_subunit_triggering_ftr07008: 1

+

complex_subunit_features_ftr07008: GW101-3H11_contig_1_1170

+

complex_subunit_note_ftr02805: Histidyl-tRNA synthetase (EC 6.1.1.21)

+

complex_subunit_optional_ftr02805: 0

+

complex_subunit_triggering_ftr02805: 1

+

complex_subunit_features_ftr02805: GW101-3H11_contig_1_1817

+

complex_subunit_note_ftr08356: SSU ribosomal protein S19p (S15e)

+

complex_subunit_optional_ftr08356: 0

+

complex_subunit_triggering_ftr08356: 1

+

complex_subunit_features_ftr08356: GW101-3H11_contig_1_425

+

complex_subunit_note_ftr07013: LSU ribosomal protein L33p

+

complex_subunit_optional_ftr07013: 0

+

complex_subunit_triggering_ftr07013: 1

+

complex_subunit_features_ftr07013: GW101-3H11_contig_1_3864

+

complex_subunit_note_tftr01102: LSU ribosomal protein L7p/L12p (P1/P2)

+

complex_subunit_optional_tftr01102: 0

+

complex_subunit_triggering_tftr01102: 1

+

complex_subunit_features_tftr01102: GW101-3H11_contig_1_485

+

complex_subunit_note_ftr06997: LSU ribosomal protein L14p (L23e)

+

complex_subunit_optional_ftr06997: 0

+

complex_subunit_triggering_ftr06997: 1

+

complex_subunit_features_ftr06997: GW101-3H11_contig_1_4501

+

complex_subunit_note_ftr07006: LSU ribosomal protein L23p (L23Ae)

+

complex_subunit_optional_ftr07006: 0

+

complex_subunit_triggering_ftr07006: 1

+

complex_subunit_features_ftr07006: GW101-3H11_contig_1_423

+

complex_subunit_note_ftr02976: Valyl-tRNA synthetase (EC 6.1.1.9)

+

complex_subunit_optional_ftr02976: 0

+

complex_subunit_triggering_ftr02976: 1

+

complex_subunit_features_ftr02976: GW101-3H11_contig_1_1539

+

complex_subunit_note_ftr02972: Arginyl-tRNA synthetase (EC 6.1.1.19)

+

complex_subunit_optional_ftr02972: 0

+

complex_subunit_triggering_ftr02972: 1

+

complex_subunit_features_ftr02972: GW101-3H11_contig_1_4576

+

complex_subunit_note_ftr04247: Aspartyl-tRNA(Asn) amidotransferase subunit B (EC 6.3.5.6)

+

complex_subunit_optional_ftr04247: 0

+

complex_subunit_triggering_ftr04247: 1

+

complex_subunit_features_ftr04247: GW101-3H11_contig_1_371

+

complex_subunit_note_ftr07070: SSU ribosomal protein S5p (S2e)

+

complex_subunit_optional_ftr07070: 0

+

complex_subunit_triggering_ftr07070: 1

+

complex_subunit_features_ftr07070: GW101-3H11_contig_1_4494;GW101-3H11_contig_1_589

+

complex_subunit_note_ftr06995: LSU ribosomal protein L11p (L12e)

+

complex_subunit_optional_ftr06995: 0

+

complex_subunit_triggering_ftr06995: 1

+

complex_subunit_features_ftr06995: GW101-3H11_contig_1_482

+

complex_subunit_note_ftr08349: SSU ribosomal protein S10p (S20e)

+

complex_subunit_optional_ftr08349: 0

+

complex_subunit_triggering_ftr08349: 1

+

complex_subunit_features_ftr08349: GW101-3H11_contig_1_420

+

complex_subunit_note_ftr08354: SSU ribosomal protein S17p (S11e)

+

complex_subunit_optional_ftr08354: 0

+

complex_subunit_triggering_ftr08354: 1

+

complex_subunit_features_ftr08354: GW101-3H11_contig_1_430

+

complex_subunit_note_ftr08355: SSU ribosomal protein S18p

+

complex_subunit_optional_ftr08355: 0

+

complex_subunit_triggering_ftr08355: 1

+

complex_subunit_features_ftr08355: GW101-3H11_contig_1_3678

+

complex_subunit_note_ftr08348: SSU ribosomal protein S9p (S16e)

+

complex_subunit_optional_ftr08348: 0

+

complex_subunit_triggering_ftr08348: 1

+

complex_subunit_features_ftr08348: GW101-3H11_contig_1_4258

+

complex_subunit_note_ftr08353: SSU ribosomal protein S16p

+

complex_subunit_optional_ftr08353: 0

+

complex_subunit_triggering_ftr08353: 1

+

complex_subunit_features_ftr08353: GW101-3H11_contig_1_3848

+

complex_subunit_note_ftr06989: LSU ribosomal protein L4p (L1e)

+

complex_subunit_optional_ftr06989: 0

+

complex_subunit_triggering_ftr06989: 1

+

complex_subunit_features_ftr06989: GW101-3H11_contig_1_422

+

complex_subunit_note_ftr01703: Methionyl-tRNA formyltransferase (EC 2.1.2.9)

+

complex_subunit_optional_ftr01703: 0

+

complex_subunit_triggering_ftr01703: 1

+

complex_subunit_features_ftr01703: GW101-3H11_contig_1_4816

+

complex_subunit_note_ftr15577: tRNA(Ile)-lysidine synthetase (EC 6.3.4.19)

+

complex_subunit_optional_ftr15577: 0

+

complex_subunit_triggering_ftr15577: 1

+

complex_subunit_features_ftr15577: GW101-3H11_contig_1_3403

+

complex_subunit_note_ftr06994: LSU ribosomal protein L10p (P0)

+

complex_subunit_optional_ftr06994: 0

+

complex_subunit_triggering_ftr06994: 1

+

complex_subunit_features_ftr06994: GW101-3H11_contig_1_484

+

complex_subunit_note_ftr08344: SSU ribosomal protein S3p (S3e)

+

complex_subunit_optional_ftr08344: 0

+

complex_subunit_triggering_ftr08344: 1

+

complex_subunit_features_ftr08344: GW101-3H11_contig_1_427

+

complex_subunit_note_ftr07005: LSU ribosomal protein L22p (L17e)

+

complex_subunit_optional_ftr07005: 0

+

complex_subunit_triggering_ftr07005: 1

+

complex_subunit_features_ftr07005: GW101-3H11_contig_1_426

+

complex_subunit_note_ftr02961: Phenylalanyl-tRNA synthetase beta chain (EC 6.1.1.20)

+

complex_subunit_optional_ftr02961: 0

+

complex_subunit_triggering_ftr02961: 1

+

complex_subunit_features_ftr02961: GW101-3H11_contig_1_1960

+

complex_subunit_note_ftr07002: LSU ribosomal protein L19p

+

complex_subunit_optional_ftr07002: 0

+

complex_subunit_triggering_ftr07002: 1

+

complex_subunit_features_ftr07002: GW101-3H11_contig_1_3845

+

complex_subunit_note_ftr02965: Isoleucyl-tRNA synthetase (EC 6.1.1.5)

+

complex_subunit_optional_ftr02965: 0

+

complex_subunit_triggering_ftr02965: 1

+

complex_subunit_features_ftr02965: GW101-3H11_contig_1_3878

+

complex_subunit_note_ftr07009: LSU ribosomal protein L27p

+

complex_subunit_optional_ftr07009: 0

+

complex_subunit_triggering_ftr07009: 1

+

complex_subunit_features_ftr07009: GW101-3H11_contig_1_1111

+

complex_subunit_note_ftr08346: SSU ribosomal protein S7p (S5e)

+

complex_subunit_optional_ftr08346: 0

+

complex_subunit_triggering_ftr08346: 1

+

complex_subunit_features_ftr08346: GW101-3H11_contig_1_417

+

complex_subunit_note_ftr07010: LSU ribosomal protein L29p (L35e)

+

complex_subunit_optional_ftr07010: 0

+

complex_subunit_triggering_ftr07010: 1

+

complex_subunit_features_ftr07010: GW101-3H11_contig_1_429

+

complex_subunit_note_ftr08105: SSU ribosomal protein S20p

+

complex_subunit_optional_ftr08105: 0

+

complex_subunit_triggering_ftr08105: 1

+

complex_subunit_features_ftr08105: GW101-3H11_contig_1_1433

+

complex_subunit_note_ftr02956: Cysteinyl-tRNA synthetase (EC 6.1.1.16)

+

complex_subunit_optional_ftr02956: 0

+

complex_subunit_triggering_ftr02956: 1

+

complex_subunit_features_ftr02956: GW101-3H11_contig_1_3407

+

complex_subunit_note_ftr00089: Alanyl-tRNA synthetase (EC 6.1.1.7)

+

complex_subunit_optional_ftr00089: 0

+

complex_subunit_triggering_ftr00089: 1

+

complex_subunit_features_ftr00089: GW101-3H11_contig_1_2718

+

complex_subunit_note_ftr07015: LSU ribosomal protein L35p

+

complex_subunit_optional_ftr07015: 0

+

complex_subunit_triggering_ftr07015: 1

+

complex_subunit_features_ftr07015: GW101-3H11_contig_1_1957

+

complex_subunit_note_ftr02978: Tyrosyl-tRNA synthetase (EC 6.1.1.1)

+

complex_subunit_optional_ftr02978: 0

+

complex_subunit_triggering_ftr02978: 1

+

complex_subunit_features_ftr02978: GW101-3H11_contig_1_4252

+

complex_subunit_note_ftr08352: SSU ribosomal protein S14p (S29e)

+

complex_subunit_optional_ftr08352: 0

+

complex_subunit_triggering_ftr08352: 1

+

complex_subunit_features_ftr08352: GW101-3H11_contig_1_4498

+

complex_subunit_note_ftr02959: Glutamyl-tRNA synthetase (EC 6.1.1.17)

+

complex_subunit_optional_ftr02959: 0

+

complex_subunit_triggering_ftr02959: 1

+

complex_subunit_features_ftr02959: GW101-3H11_contig_1_2192

+

complex_subunit_note_ftr02973: Seryl-tRNA synthetase (EC 6.1.1.11)

+

complex_subunit_optional_ftr02973: 0

+

complex_subunit_triggering_ftr02973: 1

+

complex_subunit_features_ftr02973: GW101-3H11_contig_1_3930

+

complex_subunit_note_ftr02968: Leucyl-tRNA synthetase (EC 6.1.1.4)

+

complex_subunit_optional_ftr02968: 0

+

complex_subunit_triggering_ftr02968: 1

+

complex_subunit_features_ftr02968: GW101-3H11_contig_1_4616

+

complex_subunit_note_ftr08347: SSU ribosomal protein S8p (S15Ae)

+

complex_subunit_optional_ftr08347: 0

+

complex_subunit_triggering_ftr08347: 1

+

complex_subunit_features_ftr08347: GW101-3H11_contig_1_4497

+

complex_subunit_note_ftr02967: Lysyl-tRNA synthetase (class II) (EC 6.1.1.6)

+

complex_subunit_optional_ftr02967: 0

+

complex_subunit_triggering_ftr02967: 1

+

complex_subunit_features_ftr02967: GW101-3H11_contig_1_3724

+

complex_subunit_note_ftr06999: LSU ribosomal protein L16p (L10e)

+

complex_subunit_optional_ftr06999: 0

+

complex_subunit_triggering_ftr06999: 1

+

complex_subunit_features_ftr06999: GW101-3H11_contig_1_428

+

complex_subunit_note_ftr07596: SSU ribosomal protein S15p (S13e)

+

complex_subunit_optional_ftr07596: 0

+

complex_subunit_triggering_ftr07596: 1

+

complex_subunit_features_ftr07596: GW101-3H11_contig_1_3620

+

complex_subunit_note_ftr06998: LSU ribosomal protein L15p (L27Ae)

+

complex_subunit_optional_ftr06998: 0

+

complex_subunit_triggering_ftr06998: 1

+

complex_subunit_features_ftr06998: GW101-3H11_contig_1_4492

+

complex_subunit_note_ftr07007: LSU ribosomal protein L24p (L26e)

+

complex_subunit_optional_ftr07007: 0

+

complex_subunit_triggering_ftr07007: 1

+

complex_subunit_features_ftr07007: GW101-3H11_contig_1_4500

+

complex_subunit_note_ftr06986: LSU ribosomal protein L1p (L10Ae)

+

complex_subunit_optional_ftr06986: 0

+

complex_subunit_triggering_ftr06986: 1

+

complex_subunit_features_ftr06986: GW101-3H11_contig_1_483

+

complex_subunit_note_ftr00140: SSU ribosomal protein S21p

+

complex_subunit_optional_ftr00140: 0

+

complex_subunit_triggering_ftr00140: 1

+

complex_subunit_features_ftr00140: GW101-3H11_contig_1_1654

+

complex_subunit_note_ftr05400: LSU ribosomal protein L9p

+

complex_subunit_optional_ftr05400: 0

+

complex_subunit_triggering_ftr05400: 1

+

complex_subunit_features_ftr05400: GW101-3H11_contig_1_3677

+

complex_subunit_note_ftr08351: SSU ribosomal protein S13p (S18e)

+

complex_subunit_optional_ftr08351: 0

+

complex_subunit_triggering_ftr08351: 1

+

complex_subunit_features_ftr08351: GW101-3H11_contig_1_4489

+

complex_subunit_note_ftr07004: LSU ribosomal protein L21p

+

complex_subunit_optional_ftr07004: 0

+

complex_subunit_triggering_ftr07004: 1

+

complex_subunit_features_ftr07004: GW101-3H11_contig_1_1110

+

complex_subunit_note_ftr07014: LSU ribosomal protein L34p

+

complex_subunit_optional_ftr07014: 0

+

complex_subunit_triggering_ftr07014: 1

+

complex_subunit_features_ftr07014: GW101-3H11_contig_1_4956

+

complex_subunit_note_ftr06996: LSU ribosomal protein L13p (L13Ae)

+

complex_subunit_optional_ftr06996: 0

+

complex_subunit_triggering_ftr06996: 1

+

complex_subunit_features_ftr06996: GW101-3H11_contig_1_4259

+

complex_subunit_note_ftr06988: LSU ribosomal protein L3p (L3e)

+

complex_subunit_optional_ftr06988: 0

+

complex_subunit_triggering_ftr06988: 1

+

complex_subunit_features_ftr06988: GW101-3H11_contig_1_421

+

complex_subunit_note_ftr07012: LSU ribosomal protein L31p

+

complex_subunit_optional_ftr07012: 0

+

complex_subunit_triggering_ftr07012: 1

+

complex_subunit_features_ftr07012: GW101-3H11_contig_1_3079

+

complex_subunit_note_ftr06991: LSU ribosomal protein L6p (L9e)

+

complex_subunit_optional_ftr06991: 0

+

complex_subunit_triggering_ftr06991: 1

+

complex_subunit_features_ftr06991: GW101-3H11_contig_1_4496

+

complex_subunit_note_ftr01816: SSU ribosomal protein S12p (S23e)

+

complex_subunit_optional_ftr01816: 0

+

complex_subunit_triggering_ftr01816: 1

+

complex_subunit_features_ftr01816: GW101-3H11_contig_1_416

+

complex_subunit_note_ftr07011: LSU ribosomal protein L30p (L7e)

+

complex_subunit_optional_ftr07011: 0

+

complex_subunit_triggering_ftr07011: 1

+

complex_subunit_features_ftr07011: GW101-3H11_contig_1_4493

+

complex_subunit_note_ftr07016: LSU ribosomal protein L36p

+

complex_subunit_optional_ftr07016: 0

+

complex_subunit_triggering_ftr07016: 1

+

complex_subunit_features_ftr07016: GW101-3H11_contig_1_4490

+

complex_subunit_note_ftr08350: SSU ribosomal protein S11p (S14e)

+

complex_subunit_optional_ftr08350: 0

+

complex_subunit_triggering_ftr08350: 1

+

complex_subunit_features_ftr08350: GW101-3H11_contig_1_4488

+

complex_subunit_note_ftr02969: Methionyl-tRNA synthetase (EC 6.1.1.10)

+

complex_subunit_optional_ftr02969: 0

+

complex_subunit_triggering_ftr02969: 1

+

complex_subunit_features_ftr02969: GW101-3H11_contig_1_3966

+

complex_subunit_note_ftr07000: LSU ribosomal protein L17p

+

complex_subunit_optional_ftr07000: 0

+

complex_subunit_triggering_ftr07000: 1

+

complex_subunit_features_ftr07000: GW101-3H11_contig_1_4485

+

complex_subunit_note_ftr07001: LSU ribosomal protein L18p (L5e)

+

complex_subunit_optional_ftr07001: 0

+

complex_subunit_triggering_ftr07001: 1

+

complex_subunit_features_ftr07001: GW101-3H11_contig_1_4495

+

complex_subunit_note_ftr06987: LSU ribosomal protein L2p (L8e)

+

complex_subunit_optional_ftr06987: 0

+

complex_subunit_triggering_ftr06987: 1

+

complex_subunit_features_ftr06987: GW101-3H11_contig_1_424

+

complex_subunit_note_ftr02636: SSU ribosomal protein S2p (SAe)

+

complex_subunit_optional_ftr02636: 0

+

complex_subunit_triggering_ftr02636: 1

+

complex_subunit_features_ftr02636: GW101-3H11_contig_1_3125

+

complex_subunit_note_ftr02964: Glycyl-tRNA synthetase beta chain (EC 6.1.1.14)

+

complex_subunit_optional_ftr02964: 0

+

complex_subunit_triggering_ftr02964: 1

+

complex_subunit_features_ftr02964: GW101-3H11_contig_1_786

+

complex_subunit_note_ftr08345: SSU ribosomal protein S6p

+

complex_subunit_optional_ftr08345: 0

+

complex_subunit_triggering_ftr08345: 1

+

complex_subunit_features_ftr08345: GW101-3H11_contig_1_3679

+

complex_subunit_note_ftr07003: LSU ribosomal protein L20p

+

complex_subunit_optional_ftr07003: 0

+

complex_subunit_triggering_ftr07003: 1

+

complex_subunit_features_ftr07003: GW101-3H11_contig_1_1958

+

complex_subunit_note_ftr02975: Threonyl-tRNA synthetase (EC 6.1.1.3)

+

complex_subunit_optional_ftr02975: 0

+

complex_subunit_triggering_ftr02975: 1

+

complex_subunit_features_ftr02975: GW101-3H11_contig_1_1955

+

complex_subunit_note_ftr02958: Aspartyl-tRNA synthetase (EC 6.1.1.12)

+

complex_subunit_optional_ftr02958: 0

+

complex_subunit_triggering_ftr02958: 1

+

complex_subunit_features_ftr02958: GW101-3H11_contig_1_1141

+

complex_subunit_note_ftr04248: Aspartyl-tRNA(Asn) amidotransferase subunit C (EC 6.3.5.6)

+

complex_subunit_optional_ftr04248: 0

+

complex_subunit_triggering_ftr04248: 1

+

complex_subunit_features_ftr04248: GW101-3H11_contig_1_373

+

complex_subunit_note_ftr04246: Aspartyl-tRNA(Asn) amidotransferase subunit A (EC 6.3.5.6)

+

complex_subunit_optional_ftr04246: 0

+

complex_subunit_triggering_ftr04246: 1

+

complex_subunit_features_ftr04246: GW101-3H11_contig_1_372

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: GW101-3H11_contig_1_441

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04978: UDP-glucose 4-epimerase (EC 5.1.3.2)

+

complex_subunit_optional_ftr04978: 0

+

complex_subunit_triggering_ftr04978: 1

+

complex_subunit_features_ftr04978: GW101-3H11_contig_1_1608;GW101-3H11_contig_1_821

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03665: Methenyltetrahydrofolate cyclohydrolase (EC 3.5.4.9)

+

complex_subunit_optional_ftr03665: 0

+

complex_subunit_triggering_ftr03665: 1

+

complex_subunit_features_ftr03665: GW101-3H11_contig_1_2650

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03137: Acetoacetyl-CoA reductase (EC 1.1.1.36)

+

complex_subunit_optional_ftr03137: 0

+

complex_subunit_triggering_ftr03137: 1

+

complex_subunit_features_ftr03137: GW101-3H11_contig_1_2501

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr12739: Aspartate racemase (EC 5.1.1.13)

+

complex_subunit_optional_ftr12739: 0

+

complex_subunit_triggering_ftr12739: 1

+

complex_subunit_features_ftr12739: GW101-3H11_contig_1_3805

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02812: Histidinol-phosphate aminotransferase (EC 2.6.1.9)

+

complex_subunit_optional_ftr02812: 0

+

complex_subunit_triggering_ftr02812: 1

+

complex_subunit_features_ftr02812: GW101-3H11_contig_1_1074

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00377: Biosynthetic Aromatic amino acid aminotransferase alpha (EC 2.6.1.57)

+

complex_subunit_optional_ftr00377: 0

+

complex_subunit_triggering_ftr00377: 1

+

complex_subunit_features_ftr00377: GW101-3H11_contig_1_2669

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01883: Aromatic-amino-acid aminotransferase (EC 2.6.1.57)

+

complex_subunit_optional_ftr01883: 0

+

complex_subunit_triggering_ftr01883: 1

+

complex_subunit_features_ftr01883: GW101-3H11_contig_1_2669

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01149: Oligopeptide ABC transporter, ATP-binding protein OppF (TC 3.A.1.5.1)

+

complex_subunit_optional_tftr01149: 0

+

complex_subunit_triggering_tftr01149: 1

+

complex_subunit_features_tftr01149: GW101-3H11_contig_1_4611

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06318: Adenosylcobinamide-phosphate guanylyltransferase (EC 2.7.7.62)

+

complex_subunit_optional_ftr06318: 0

+

complex_subunit_triggering_ftr06318: 1

+

complex_subunit_features_ftr06318: GW101-3H11_contig_1_3270

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02913: N-acetylneuraminate synthase (EC 2.5.1.56)

+

complex_subunit_optional_ftr02913: 0

+

complex_subunit_triggering_ftr02913: 1

+

complex_subunit_features_ftr02913: GW101-3H11_contig_1_3706

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00364: N-acetylglutamate kinase (EC 2.7.2.8)

+

complex_subunit_optional_tftr00364: 0

+

complex_subunit_triggering_tftr00364: 1

+

complex_subunit_features_tftr00364: GW101-3H11_contig_1_829

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11097: 2-dehydro-3-deoxygalactonokinase (EC 2.7.1.58)

+

complex_subunit_optional_ftr11097: 0

+

complex_subunit_triggering_ftr11097: 1

+

complex_subunit_features_ftr11097: GW101-3H11_contig_1_2936

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09157: Succinate dehydrogenase hydrophobic membrane anchor protein

+

complex_subunit_optional_ftr09157: 0

+

complex_subunit_triggering_ftr09157: 1

+

complex_subunit_features_ftr09157: GW101-3H11_contig_1_1747

+

complex_subunit_note_ftr09156: Succinate dehydrogenase cytochrome b-556 subunit

+

complex_subunit_optional_ftr09156: 0

+

complex_subunit_triggering_ftr09156: 1

+

complex_subunit_features_ftr09156: GW101-3H11_contig_1_1748

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: GW101-3H11_contig_1_441

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01042: UDP-N-acetylmuramoyl-dipeptide--2,6-diaminopimelate ligase (EC 6.3.2.13)

+

complex_subunit_optional_tftr01042: 0

+

complex_subunit_triggering_tftr01042: 1

+

complex_subunit_features_tftr01042: GW101-3H11_contig_1_929

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05351: Polyphosphate kinase (EC 2.7.4.1)

+

complex_subunit_optional_ftr05351: 0

+

complex_subunit_triggering_ftr05351: 1

+

complex_subunit_features_ftr05351: GW101-3H11_contig_1_3092

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04950: dTDP-4-dehydrorhamnose reductase (EC 1.1.1.133)

+

complex_subunit_optional_ftr04950: 0

+

complex_subunit_triggering_ftr04950: 1

+

complex_subunit_features_ftr04950: GW101-3H11_contig_1_799

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00998: Spermidine/putrescine import ABC transporter substrate-binding protein PotD (TC 3.A.1.11.1)

+

complex_subunit_optional_tftr00998: 0

+

complex_subunit_triggering_tftr00998: 1

+

complex_subunit_features_tftr00998: GW101-3H11_contig_1_2732

+

complex_subunit_note_tftr00789: Spermidine/putrescine import ABC transporter permease protein PotC (TC 3.A.1.11.1)

+

complex_subunit_optional_tftr00789: 0

+

complex_subunit_triggering_tftr00789: 1

+

complex_subunit_features_tftr00789: GW101-3H11_contig_1_2734

+

complex_subunit_note_tftr00039: Spermidine/putrescine import ABC transporter ATP-binding protein PotA (TC 3.A.1.11.1)

+

complex_subunit_optional_tftr00039: 0

+

complex_subunit_triggering_tftr00039: 1

+

complex_subunit_features_tftr00039: GW101-3H11_contig_1_2731;GW101-3H11_contig_1_974

+

complex_subunit_note_tftr00377: Spermidine/putrescine import ABC transporter permease protein PotB (TC 3.A.1.11.1)

+

complex_subunit_optional_tftr00377: 0

+

complex_subunit_triggering_tftr00377: 1

+

complex_subunit_features_tftr00377: GW101-3H11_contig_1_2733

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr30482: nicotinamide-nucleotide amidase (EC 3.5.1.42)

+

complex_subunit_optional_ftr30482: 0

+

complex_subunit_triggering_ftr30482: 1

+

complex_subunit_features_ftr30482: GW101-3H11_contig_1_4560

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02280: NADH-ubiquinone oxidoreductase chain M (EC 1.6.5.3)

+

complex_subunit_optional_ftr02280: 0

+

complex_subunit_triggering_ftr02280: 1

+

complex_subunit_features_ftr02280: GW101-3H11_contig_1_3603

+

complex_subunit_note_ftr02285: NADH-ubiquinone oxidoreductase chain H (EC 1.6.5.3)

+

complex_subunit_optional_ftr02285: 0

+

complex_subunit_triggering_ftr02285: 1

+

complex_subunit_features_ftr02285: GW101-3H11_contig_1_3608

+

complex_subunit_note_ftr02282: NADH-ubiquinone oxidoreductase chain K (EC 1.6.5.3)

+

complex_subunit_optional_ftr02282: 0

+

complex_subunit_triggering_ftr02282: 1

+

complex_subunit_features_ftr02282: GW101-3H11_contig_1_3605

+

complex_subunit_note_ftr02291: NADH ubiquinone oxidoreductase chain A (EC 1.6.5.3)

+

complex_subunit_optional_ftr02291: 0

+

complex_subunit_triggering_ftr02291: 1

+

complex_subunit_features_ftr02291: GW101-3H11_contig_1_3615

+

complex_subunit_note_ftr02290: NADH-ubiquinone oxidoreductase chain B (EC 1.6.5.3)

+

complex_subunit_optional_ftr02290: 0

+

complex_subunit_triggering_ftr02290: 1

+

complex_subunit_features_ftr02290: GW101-3H11_contig_1_3614

+

complex_subunit_note_ftr02286: NADH-ubiquinone oxidoreductase chain G (EC 1.6.5.3)

+

complex_subunit_optional_ftr02286: 0

+

complex_subunit_triggering_ftr02286: 1

+

complex_subunit_features_ftr02286: GW101-3H11_contig_1_3609

+

complex_subunit_note_ftr01615: NADH-ubiquinone oxidoreductase chain F (EC 1.6.5.3)

+

complex_subunit_optional_ftr01615: 0

+

complex_subunit_triggering_ftr01615: 1

+

complex_subunit_features_ftr01615: GW101-3H11_contig_1_3610

+

complex_subunit_note_ftr02284: NADH-ubiquinone oxidoreductase chain I (EC 1.6.5.3)

+

complex_subunit_optional_ftr02284: 0

+

complex_subunit_triggering_ftr02284: 1

+

complex_subunit_features_ftr02284: GW101-3H11_contig_1_3607

+

complex_subunit_note_ftr02289: NADH-ubiquinone oxidoreductase chain D (EC 1.6.5.3)

+

complex_subunit_optional_ftr02289: 0

+

complex_subunit_triggering_ftr02289: 1

+

complex_subunit_features_ftr02289: GW101-3H11_contig_1_3612

+

complex_subunit_note_ftr02288: NADH-ubiquinone oxidoreductase chain C (EC 1.6.5.3)

+

complex_subunit_optional_ftr02288: 0

+

complex_subunit_triggering_ftr02288: 1

+

complex_subunit_features_ftr02288: GW101-3H11_contig_1_3613

+

complex_subunit_note_ftr02287: NADH-ubiquinone oxidoreductase chain E (EC 1.6.5.3)

+

complex_subunit_optional_ftr02287: 0

+

complex_subunit_triggering_ftr02287: 1

+

complex_subunit_features_ftr02287: GW101-3H11_contig_1_3611

+

complex_subunit_note_ftr02283: NADH-ubiquinone oxidoreductase chain J (EC 1.6.5.3)

+

complex_subunit_optional_ftr02283: 0

+

complex_subunit_triggering_ftr02283: 1

+

complex_subunit_features_ftr02283: GW101-3H11_contig_1_3606

+

complex_subunit_note_ftr02279: NADH-ubiquinone oxidoreductase chain N (EC 1.6.5.3)

+

complex_subunit_optional_ftr02279: 0

+

complex_subunit_triggering_ftr02279: 1

+

complex_subunit_features_ftr02279: GW101-3H11_contig_1_3602

+

complex_subunit_note_ftr02281: NADH-ubiquinone oxidoreductase chain L (EC 1.6.5.3)

+

complex_subunit_optional_ftr02281: 0

+

complex_subunit_triggering_ftr02281: 1

+

complex_subunit_features_ftr02281: GW101-3H11_contig_1_3604

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10960: Xylonate dehydratase (EC 4.2.1.82)

+

complex_subunit_optional_ftr10960: 0

+

complex_subunit_triggering_ftr10960: 1

+

complex_subunit_features_ftr10960: GW101-3H11_contig_1_1517

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01147: 4-hydroxy-3-methylbut-2-enyl diphosphate reductase (EC 1.17.7.4)

+

complex_subunit_optional_tftr01147: 0

+

complex_subunit_triggering_tftr01147: 1

+

complex_subunit_features_tftr01147: GW101-3H11_contig_1_3933

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00160: Glutamine synthetase type III (EC 6.3.1.2)

+

complex_subunit_optional_tftr00160: 0

+

complex_subunit_triggering_tftr00160: 1

+

complex_subunit_features_tftr00160: GW101-3H11_contig_1_3717

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00649: Ribokinase (EC 2.7.1.15)

+

complex_subunit_optional_ftr00649: 0

+

complex_subunit_triggering_ftr00649: 1

+

complex_subunit_features_ftr00649: GW101-3H11_contig_1_756

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00942: Cytosine/purine/uracil/thiamine/allantoin permease family protein

+

complex_subunit_optional_ftr00942: 0

+

complex_subunit_triggering_ftr00942: 1

+

complex_subunit_features_ftr00942: GW101-3H11_contig_1_1017

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00208: Catalase-peroxidase KatG (EC 1.11.1.21)

+

complex_subunit_optional_tftr00208: 0

+

complex_subunit_triggering_tftr00208: 1

+

complex_subunit_features_tftr00208: GW101-3H11_contig_1_2808

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00859: Imidazole glycerol phosphate synthase cyclase subunit

+

complex_subunit_optional_tftr00859: 0

+

complex_subunit_triggering_tftr00859: 1

+

complex_subunit_features_tftr00859: GW101-3H11_contig_1_1078

+

complex_subunit_note_tftr00795: Imidazole glycerol phosphate synthase amidotransferase subunit HisH

+

complex_subunit_optional_tftr00795: 0

+

complex_subunit_triggering_tftr00795: 1

+

complex_subunit_features_tftr00795: GW101-3H11_contig_1_1076;GW101-3H11_contig_1_3712

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11147: Xanthine-guanine phosphoribosyltransferase (EC 2.4.2.22)

+

complex_subunit_optional_ftr11147: 0

+

complex_subunit_triggering_ftr11147: 1

+

complex_subunit_features_ftr11147: GW101-3H11_contig_1_1827

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06898: Beta-phosphoglucomutase (EC 5.4.2.6)

+

complex_subunit_optional_ftr06898: 0

+

complex_subunit_triggering_ftr06898: 1

+

complex_subunit_features_ftr06898: GW101-3H11_contig_1_2167

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01842: Phosphogluconate dehydratase (EC 4.2.1.12)

+

complex_subunit_optional_ftr01842: 0

+

complex_subunit_triggering_ftr01842: 1

+

complex_subunit_features_ftr01842: GW101-3H11_contig_1_998

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01706: 5-formyltetrahydrofolate cyclo-ligase (EC 6.3.3.2)

+

complex_subunit_optional_ftr01706: 0

+

complex_subunit_triggering_ftr01706: 1

+

complex_subunit_features_ftr01706: GW101-3H11_contig_1_750

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09516: Phosphoribosylaminoimidazole-succinocarboxamide synthase (EC 6.3.2.6)

+

complex_subunit_optional_ftr09516: 0

+

complex_subunit_triggering_ftr09516: 1

+

complex_subunit_features_ftr09516: GW101-3H11_contig_1_4626

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00874: 1,6-anhydro-N-acetylmuramyl-L-alanine amidase

+

complex_subunit_optional_tftr00874: 0

+

complex_subunit_triggering_tftr00874: 1

+

complex_subunit_features_tftr00874: GW101-3H11_contig_1_4163

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05095: N-acetylmuramoyl-L-alanine amidase (EC 3.5.1.28)

+

complex_subunit_optional_ftr05095: 0

+

complex_subunit_triggering_ftr05095: 1

+

complex_subunit_features_ftr05095: GW101-3H11_contig_1_2204;GW101-3H11_contig_1_3571

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr33470: 2-dehydro-3-deoxygluconokinase (EC 2.7.1.45)

+

complex_subunit_optional_ftr33470: 0

+

complex_subunit_triggering_ftr33470: 1

+

complex_subunit_features_ftr33470: GW101-3H11_contig_1_4605

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04192: Aerobic glycerol-3-phosphate dehydrogenase (EC 1.1.5.3)

+

complex_subunit_optional_ftr04192: 0

+

complex_subunit_triggering_ftr04192: 1

+

complex_subunit_features_ftr04192: GW101-3H11_contig_1_4502

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00289: Glutaryl-CoA dehydrogenase (EC 1.3.8.6)

+

complex_subunit_optional_tftr00289: 0

+

complex_subunit_triggering_tftr00289: 1

+

complex_subunit_features_tftr00289: GW101-3H11_contig_1_1525

+

complex_subunit_note_tftr00280: acyl-CoA dehydrogenase

+

complex_subunit_optional_tftr00280: 0

+

complex_subunit_triggering_tftr00280: 1

+

complex_subunit_features_tftr00280: GW101-3H11_contig_1_2070;GW101-3H11_contig_1_2284;GW101-3H11_contig_1_2984;GW101-3H11_contig_1_4899;GW101-3H11_contig_1_585;GW101-3H11_contig_1_850;GW101-3H11_contig_1_856

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01517: Ribulose-phosphate 3-epimerase (EC 5.1.3.1)

+

complex_subunit_optional_ftr01517: 0

+

complex_subunit_triggering_ftr01517: 1

+

complex_subunit_features_ftr01517: GW101-3H11_contig_1_4541

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03812: 3-isopropylmalate dehydratase small subunit (EC 4.2.1.33)

+

complex_subunit_optional_ftr03812: 0

+

complex_subunit_triggering_ftr03812: 1

+

complex_subunit_features_ftr03812: GW101-3H11_contig_1_3688

+

complex_subunit_note_ftr03113: 3-isopropylmalate dehydratase large subunit (EC 4.2.1.33)

+

complex_subunit_optional_ftr03113: 0

+

complex_subunit_triggering_ftr03113: 1

+

complex_subunit_features_ftr03113: GW101-3H11_contig_1_3686

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00088: L-arabinose ABC transporter, permease protein AraH

+

complex_subunit_optional_tftr00088: 0

+

complex_subunit_triggering_tftr00088: 1

+

complex_subunit_features_tftr00088: GW101-3H11_contig_1_2930

+

complex_subunit_note_tftr00705: L-arabinose ABC transporter, ATP-binding protein AraG

+

complex_subunit_optional_tftr00705: 0

+

complex_subunit_triggering_tftr00705: 1

+

complex_subunit_features_tftr00705: GW101-3H11_contig_1_2929

+

complex_subunit_note_tftr00027: L-arabinose ABC transporter, substrate-binding protein AraF

+

complex_subunit_optional_tftr00027: 0

+

complex_subunit_triggering_tftr00027: 1

+

complex_subunit_features_tftr00027: GW101-3H11_contig_1_2928

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03813: 3-isopropylmalate dehydrogenase (EC 1.1.1.85)

+

complex_subunit_optional_ftr03813: 0

+

complex_subunit_triggering_ftr03813: 1

+

complex_subunit_features_ftr03813: GW101-3H11_contig_1_3689

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02641: Maltoporin (maltose/maltodextrin high-affinity receptor, phage lambda receptor protein)

+

complex_subunit_optional_ftr02641: 0

+

complex_subunit_triggering_ftr02641: 1

+

complex_subunit_features_ftr02641: GW101-3H11_contig_1_979

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07686: Pyrimidine operon regulatory protein PyrR

+

complex_subunit_optional_ftr07686: 0

+

complex_subunit_triggering_ftr07686: 1

+

complex_subunit_features_ftr07686: GW101-3H11_contig_1_4123

+

complex_subunit_note_ftr02683: Uracil phosphoribosyltransferase (EC 2.4.2.9)

+

complex_subunit_optional_ftr02683: 0

+

complex_subunit_triggering_ftr02683: 1

+

complex_subunit_features_ftr02683: GW101-3H11_contig_1_2373

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02401: Iron(III) dicitrate transport system permease protein fecD (TC 3.A.1.14.1)

+

complex_subunit_optional_ftr02401: 0

+

complex_subunit_triggering_ftr02401: 1

+

complex_subunit_features_ftr02401: GW101-3H11_contig_1_3268;GW101-3H11_contig_1_357

+

complex_subunit_note_ftr02400: Iron(III) dicitrate transport ATP-binding protein FecE (TC 3.A.1.14.1)

+

complex_subunit_optional_ftr02400: 0

+

complex_subunit_triggering_ftr02400: 1

+

complex_subunit_features_ftr02400: GW101-3H11_contig_1_3267

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05042: Quinolinate phosphoribosyltransferase [decarboxylating] (EC 2.4.2.19)

+

complex_subunit_optional_ftr05042: 0

+

complex_subunit_triggering_ftr05042: 1

+

complex_subunit_features_ftr05042: GW101-3H11_contig_1_3986

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00222: Glyoxylate carboligase (EC 4.1.1.47)

+

complex_subunit_optional_ftr00222: 0

+

complex_subunit_triggering_ftr00222: 1

+

complex_subunit_features_ftr00222: GW101-3H11_contig_1_1347

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02994: Malonyl CoA-acyl carrier protein transacylase (EC 2.3.1.39)

+

complex_subunit_optional_ftr02994: 0

+

complex_subunit_triggering_ftr02994: 1

+

complex_subunit_features_ftr02994: GW101-3H11_contig_1_3743

+

complex_subunit_note_ftr01408: Acyl carrier protein

+

complex_subunit_optional_ftr01408: 1

+

complex_subunit_triggering_ftr01408: 0

+

complex_subunit_features_ftr01408: GW101-3H11_contig_1_3741

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00957: Peptide-methionine (S)-S-oxide reductase MsrA (EC 1.8.4.11)

+

complex_subunit_optional_tftr00957: 0

+

complex_subunit_triggering_tftr00957: 1

+

complex_subunit_features_tftr00957: GW101-3H11_contig_1_2579

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08305: Homoserine O-acetyltransferase (EC 2.3.1.31)

+

complex_subunit_optional_ftr08305: 0

+

complex_subunit_triggering_ftr08305: 1

+

complex_subunit_features_ftr08305: GW101-3H11_contig_1_1325;GW101-3H11_contig_1_4939

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06015: CTP synthase (EC 6.3.4.2)

+

complex_subunit_optional_ftr06015: 0

+

complex_subunit_triggering_ftr06015: 1

+

complex_subunit_features_ftr06015: GW101-3H11_contig_1_3551

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr12723: Phosphotransferase system, phosphocarrier protein HPr

+

complex_subunit_optional_ftr12723: 0

+

complex_subunit_triggering_ftr12723: 1

+

complex_subunit_features_ftr12723: GW101-3H11_contig_1_440

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04741: Holo-[acyl-carrier protein] synthase (EC 2.7.8.7)

+

complex_subunit_optional_ftr04741: 0

+

complex_subunit_triggering_ftr04741: 1

+

complex_subunit_features_ftr04741: GW101-3H11_contig_1_3728

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr30361: UDP-N-acetylmuramate---L-alanine ligase (EC 6.3.2.8)

+

complex_subunit_optional_ftr30361: 0

+

complex_subunit_triggering_ftr30361: 1

+

complex_subunit_features_ftr30361: GW101-3H11_contig_1_935

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02615: Arginase (EC 3.5.3.1)

+

complex_subunit_optional_ftr02615: 0

+

complex_subunit_triggering_ftr02615: 1

+

complex_subunit_features_ftr02615: GW101-3H11_contig_1_4604

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09518: IMP cyclohydrolase (EC 3.5.4.10)

+

complex_subunit_optional_ftr09518: 0

+

complex_subunit_triggering_ftr09518: 1

+

complex_subunit_features_ftr09518: GW101-3H11_contig_1_4137

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00322: Phosphoglycerate mutase (EC 5.4.2.11)

+

complex_subunit_optional_tftr00322: 0

+

complex_subunit_triggering_tftr00322: 1

+

complex_subunit_features_tftr00322: GW101-3H11_contig_1_4004

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06505: Pyrroline-5-carboxylate reductase (EC 1.5.1.2)

+

complex_subunit_optional_ftr06505: 0

+

complex_subunit_triggering_ftr06505: 1

+

complex_subunit_features_ftr06505: GW101-3H11_contig_1_4511

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00920: Alkyl hydroperoxide reductase protein C (EC 1.11.1.15)

+

complex_subunit_optional_tftr00920: 0

+

complex_subunit_triggering_tftr00920: 1

+

complex_subunit_features_tftr00920: GW101-3H11_contig_1_3498

+

complex_subunit_note_tftr00987: Alkyl hydroperoxide reductase protein F

+

complex_subunit_optional_tftr00987: 0

+

complex_subunit_triggering_tftr00987: 1

+

complex_subunit_features_tftr00987: GW101-3H11_contig_1_3497

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05050: Nicotinamidase (EC 3.5.1.19)

+

complex_subunit_optional_ftr05050: 0

+

complex_subunit_triggering_ftr05050: 1

+

complex_subunit_features_ftr05050: GW101-3H11_contig_1_1025

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00099: N5-carboxyaminoimidazole ribonucleotide mutase (EC 5.4.99.18)

+

complex_subunit_optional_tftr00099: 0

+

complex_subunit_triggering_tftr00099: 1

+

complex_subunit_features_tftr00099: GW101-3H11_contig_1_4629

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00507: phosphodiesterase/alkaline phosphatase D

+

complex_subunit_optional_tftr00507: 0

+

complex_subunit_triggering_tftr00507: 1

+

complex_subunit_features_tftr00507: GW101-3H11_contig_1_1803

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04397: Alkaline phosphatase (EC 3.1.3.1)

+

complex_subunit_optional_ftr04397: 0

+

complex_subunit_triggering_ftr04397: 1

+

complex_subunit_features_ftr04397: GW101-3H11_contig_1_2742

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00127: Glutamate/aspartate ABC transporter, substrate-binding protein GltI (TC 3.A.1.3.4)

+

complex_subunit_optional_tftr00127: 0

+

complex_subunit_triggering_tftr00127: 1

+

complex_subunit_features_tftr00127: GW101-3H11_contig_1_3327;GW101-3H11_contig_1_3766;GW101-3H11_contig_1_3804;GW101-3H11_contig_1_3806;GW101-3H11_contig_1_876;GW101-3H11_contig_1_877

+

complex_subunit_note_tftr01187: Glutamate/aspartate ABC transporter, permease protein GltK (TC 3.A.1.3.4)

+

complex_subunit_optional_tftr01187: 0

+

complex_subunit_triggering_tftr01187: 1

+

complex_subunit_features_tftr01187: GW101-3H11_contig_1_879

+

complex_subunit_note_tftr00204: Glutamate/aspartate ABC transporter, ATP-binding protein GltL (TC 3.A.1.3.4)

+

complex_subunit_optional_tftr00204: 0

+

complex_subunit_triggering_tftr00204: 1

+

complex_subunit_features_tftr00204: GW101-3H11_contig_1_880

+

complex_subunit_note_tftr01098: Glutamate/aspartate ABC transporter, permease protein GltJ (TC 3.A.1.3.4)

+

complex_subunit_optional_tftr01098: 0

+

complex_subunit_triggering_tftr01098: 1

+

complex_subunit_features_tftr01098: GW101-3H11_contig_1_878

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06755: Acylphosphate phosphohydrolase (EC 3.6.1.7)

+

complex_subunit_optional_ftr06755: 0

+

complex_subunit_triggering_ftr06755: 1

+

complex_subunit_features_ftr06755: GW101-3H11_contig_1_19

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03442: Dihydropteridine reductase (EC 1.5.1.34)

+

complex_subunit_optional_ftr03442: 0

+

complex_subunit_triggering_ftr03442: 1

+

complex_subunit_features_ftr03442: GW101-3H11_contig_1_2843

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00802: Phosphoribosylglycinamide formyltransferase (EC 2.1.2.2)

+

complex_subunit_optional_ftr00802: 0

+

complex_subunit_triggering_ftr00802: 1

+

complex_subunit_features_ftr00802: GW101-3H11_contig_1_3871

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00085: 2-polyprenyl-3-methyl-6-methoxy-1,4-benzoquinol hydroxylase

+

complex_subunit_optional_tftr00085: 0

+

complex_subunit_triggering_tftr00085: 1

+

complex_subunit_features_tftr00085: GW101-3H11_contig_1_4146

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05209: UDP-3-O-[3-hydroxymyristoyl] glucosamine N-acyltransferase (EC 2.3.1.191)

+

complex_subunit_optional_ftr05209: 0

+

complex_subunit_triggering_ftr05209: 1

+

complex_subunit_features_ftr05209: GW101-3H11_contig_1_3115

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02627: Diaminopimelate decarboxylase (EC 4.1.1.20)

+

complex_subunit_optional_ftr02627: 0

+

complex_subunit_triggering_ftr02627: 1

+

complex_subunit_features_ftr02627: GW101-3H11_contig_1_4010

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05053: ADP-ribose pyrophosphatase (EC 3.6.1.13)

+

complex_subunit_optional_ftr05053: 0

+

complex_subunit_triggering_ftr05053: 1

+

complex_subunit_features_ftr05053: GW101-3H11_contig_1_1022

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr33872: 2,5-dioxovalerate dehydrogenase (EC 1.2.1.26)

+

complex_subunit_optional_ftr33872: 0

+

complex_subunit_triggering_ftr33872: 1

+

complex_subunit_features_ftr33872: GW101-3H11_contig_1_2926;GW101-3H11_contig_1_3521

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00169: Fructokinase (EC 2.7.1.4)

+

complex_subunit_optional_ftr00169: 0

+

complex_subunit_triggering_ftr00169: 1

+

complex_subunit_features_ftr00169: GW101-3H11_contig_1_1853;GW101-3H11_contig_1_4274

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00629: Molybdenum ABC transporter permease protein ModB

+

complex_subunit_optional_tftr00629: 0

+

complex_subunit_triggering_tftr00629: 1

+

complex_subunit_features_tftr00629: GW101-3H11_contig_1_1576

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11974: 2-acylglycerophosphoethanolamine acyltransferase (EC 2.3.1.40)

+

complex_subunit_optional_ftr11974: 0

+

complex_subunit_triggering_ftr11974: 1

+

complex_subunit_features_ftr11974: GW101-3H11_contig_1_4456

+

complex_subunit_note_ftr01408: Acyl carrier protein

+

complex_subunit_optional_ftr01408: 1

+

complex_subunit_triggering_ftr01408: 0

+

complex_subunit_features_ftr01408: GW101-3H11_contig_1_3741

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00211: Maleate cis-trans isomerase (EC 5.2.1.1)

+

complex_subunit_optional_ftr00211: 0

+

complex_subunit_triggering_ftr00211: 1

+

complex_subunit_features_ftr00211: GW101-3H11_contig_1_905

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00749: D-glycerate 2-kinase (EC 2.7.1.165)

+

complex_subunit_optional_tftr00749: 0

+

complex_subunit_triggering_tftr00749: 1

+

complex_subunit_features_tftr00749: GW101-3H11_contig_1_1345

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02795: Allantoate amidohydrolase (EC 3.5.3.9)

+

complex_subunit_optional_ftr02795: 0

+

complex_subunit_triggering_ftr02795: 1

+

complex_subunit_features_ftr02795: GW101-3H11_contig_1_1355

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: GW101-3H11_contig_1_441

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09093: Aldehyde dehydrogenase B (EC 1.2.1.22)

+

complex_subunit_optional_ftr09093: 0

+

complex_subunit_triggering_ftr09093: 1

+

complex_subunit_features_ftr09093: GW101-3H11_contig_1_3768;GW101-3H11_contig_1_4105

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03034: Hydroxymethylglutaryl-CoA lyase (EC 4.1.3.4)

+

complex_subunit_optional_ftr03034: 0

+

complex_subunit_triggering_ftr03034: 1

+

complex_subunit_features_ftr03034: GW101-3H11_contig_1_4289

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10521: Adenosylmethionine-8-amino-7-oxononanoate aminotransferase (EC 2.6.1.62)

+

complex_subunit_optional_ftr10521: 0

+

complex_subunit_triggering_ftr10521: 1

+

complex_subunit_features_ftr10521: GW101-3H11_contig_1_3976

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09509: Phosphoribosylamine--glycine ligase (EC 6.3.4.13)

+

complex_subunit_optional_ftr09509: 0

+

complex_subunit_triggering_ftr09509: 1

+

complex_subunit_features_ftr09509: GW101-3H11_contig_1_2379

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00847: Ribose 1,5-bisphosphate phosphokinase PhnN (EC 2.7.4.23)

+

complex_subunit_optional_tftr00847: 0

+

complex_subunit_triggering_tftr00847: 1

+

complex_subunit_features_tftr00847: GW101-3H11_contig_1_566

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05048: Glutamine amidotransferase chain of NAD synthetase

+

complex_subunit_optional_ftr05048: 0

+

complex_subunit_triggering_ftr05048: 1

+

complex_subunit_features_ftr05048: GW101-3H11_contig_1_1023;GW101-3H11_contig_1_3029

+

complex_subunit_note_ftr00142: Carbamoyl-phosphate synthase small chain (EC 6.3.5.5)

+

complex_subunit_optional_ftr00142: 0

+

complex_subunit_triggering_ftr00142: 1

+

complex_subunit_features_ftr00142: GW101-3H11_contig_1_3108

+

complex_subunit_note_ftr00143: Carbamoyl-phosphate synthase large chain (EC 6.3.5.5)

+

complex_subunit_optional_ftr00143: 0

+

complex_subunit_triggering_ftr00143: 1

+

complex_subunit_features_ftr00143: GW101-3H11_contig_1_3107

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04033: Phosphoribosylanthranilate isomerase (EC 5.3.1.24)

+

complex_subunit_optional_ftr04033: 0

+

complex_subunit_triggering_ftr04033: 1

+

complex_subunit_features_ftr04033: GW101-3H11_contig_1_3694

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10817: Methylmalonyl-CoA epimerase (EC 5.1.99.1)

+

complex_subunit_optional_ftr10817: 0

+

complex_subunit_triggering_ftr10817: 1

+

complex_subunit_features_ftr10817: GW101-3H11_contig_1_2527

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07646: Phosphoserine phosphatase (EC 3.1.3.3)

+

complex_subunit_optional_ftr07646: 0

+

complex_subunit_triggering_ftr07646: 1

+

complex_subunit_features_ftr07646: GW101-3H11_contig_1_1447;GW101-3H11_contig_1_3219

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00867: Sirohydrochlorin cobaltochelatase CbiX(small) (EC 4.99.1.3)

+

complex_subunit_optional_tftr00867: 0

+

complex_subunit_triggering_tftr00867: 1

+

complex_subunit_features_tftr00867: GW101-3H11_contig_1_2399

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00210: Fumarylacetoacetate hydrolase family protein

+

complex_subunit_optional_ftr00210: 0

+

complex_subunit_triggering_ftr00210: 1

+

complex_subunit_features_ftr00210: GW101-3H11_contig_1_1304;GW101-3H11_contig_1_1516;GW101-3H11_contig_1_2047;GW101-3H11_contig_1_2494;GW101-3H11_contig_1_535

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07178: Acetylornithine deacetylase/Succinyl-diaminopimelate desuccinylase and related deacylases

+

complex_subunit_optional_ftr07178: 0

+

complex_subunit_triggering_ftr07178: 1

+

complex_subunit_features_ftr07178: GW101-3H11_contig_1_2171;GW101-3H11_contig_1_4514;GW101-3H11_contig_1_4931;GW101-3H11_contig_1_882

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01059: Uroporphyrinogen-III methyltransferase (EC 2.1.1.107)

+

complex_subunit_optional_ftr01059: 0

+

complex_subunit_triggering_ftr01059: 1

+

complex_subunit_features_ftr01059: GW101-3H11_contig_1_1668

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr30525: D-malate dehydrogenase (decarboxylating) (EC 1.1.1.83)

+

complex_subunit_optional_ftr30525: 0

+

complex_subunit_triggering_ftr30525: 1

+

complex_subunit_features_ftr30525: GW101-3H11_contig_1_1651;GW101-3H11_contig_1_2901;GW101-3H11_contig_1_3170

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08994: Riboflavin synthase eubacterial/eukaryotic (EC 2.5.1.9)

+

complex_subunit_optional_ftr08994: 0

+

complex_subunit_triggering_ftr08994: 1

+

complex_subunit_features_ftr08994: GW101-3H11_contig_1_4863

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01346: Ribonucleotide reductase of class Ia (aerobic), alpha subunit (EC 1.17.4.1)

+

complex_subunit_optional_ftr01346: 0

+

complex_subunit_triggering_ftr01346: 1

+

complex_subunit_features_ftr01346: GW101-3H11_contig_1_4164

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01347: Ribonucleotide reductase of class Ia (aerobic), beta subunit (EC 1.17.4.1)

+

complex_subunit_optional_ftr01347: 0

+

complex_subunit_triggering_ftr01347: 1

+

complex_subunit_features_ftr01347: GW101-3H11_contig_1_4165

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06154: Alanine racemase (EC 5.1.1.1)

+

complex_subunit_optional_ftr06154: 0

+

complex_subunit_triggering_ftr06154: 1

+

complex_subunit_features_ftr06154: GW101-3H11_contig_1_328

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02622: Glutamate synthase [NADPH] large chain (EC 1.4.1.13)

+

complex_subunit_optional_ftr02622: 0

+

complex_subunit_triggering_ftr02622: 1

+

complex_subunit_features_ftr02622: GW101-3H11_contig_1_1054;GW101-3H11_contig_1_2290;GW101-3H11_contig_1_2299;GW101-3H11_contig_1_4025;GW101-3H11_contig_1_741

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02621: NADP-specific glutamate dehydrogenase (EC 1.4.1.4)

+

complex_subunit_optional_ftr02621: 0

+

complex_subunit_triggering_ftr02621: 1

+

complex_subunit_features_ftr02621: GW101-3H11_contig_1_249;GW101-3H11_contig_1_3579

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00054: Glutamate synthase [NADPH] small chain (EC 1.4.1.13)

+

complex_subunit_optional_ftr00054: 0

+

complex_subunit_triggering_ftr00054: 1

+

complex_subunit_features_ftr00054: GW101-3H11_contig_1_1055

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05914: Sulfate adenylyltransferase subunit 2 (EC 2.7.7.4)

+

complex_subunit_optional_ftr05914: 0

+

complex_subunit_triggering_ftr05914: 1

+

complex_subunit_features_ftr05914: GW101-3H11_contig_1_2967

+

complex_subunit_note_ftr05913: Sulfate adenylyltransferase subunit 1 (EC 2.7.7.4)

+

complex_subunit_optional_ftr05913: 0

+

complex_subunit_triggering_ftr05913: 1

+

complex_subunit_features_ftr05913: GW101-3H11_contig_1_2968

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00800: Isovaleryl-CoA dehydrogenase (EC 1.3.8.4)

+

complex_subunit_optional_tftr00800: 0

+

complex_subunit_triggering_tftr00800: 1

+

complex_subunit_features_tftr00800: GW101-3H11_contig_1_4319

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00117: ABC transporter, permease protein 2 (cluster 1, maltose/g3p/polyamine/iron)

+

complex_subunit_optional_tftr00117: 0

+

complex_subunit_triggering_tftr00117: 1

+

complex_subunit_features_tftr00117: GW101-3H11_contig_1_3252;GW101-3H11_contig_1_981

+

complex_subunit_note_tftr00048: ABC transporter, permease protein 1 (cluster 1, maltose/g3p/polyamine/iron)

+

complex_subunit_optional_tftr00048: 0

+

complex_subunit_triggering_tftr00048: 1

+

complex_subunit_features_tftr00048: GW101-3H11_contig_1_3253;GW101-3H11_contig_1_980

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02641: Maltoporin (maltose/maltodextrin high-affinity receptor, phage lambda receptor protein)

+

complex_subunit_optional_ftr02641: 0

+

complex_subunit_triggering_ftr02641: 1

+

complex_subunit_features_ftr02641: GW101-3H11_contig_1_979

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09062: Diaminohydroxyphosphoribosylaminopyrimidine deaminase (EC 3.5.4.26)

+

complex_subunit_optional_ftr09062: 0

+

complex_subunit_triggering_ftr09062: 1

+

complex_subunit_features_ftr09062: GW101-3H11_contig_1_3626

+ + + + + + +

complex_source: KEGG

+

complex_subunit_note_ftr34048: 2-methoxy-6-polyprenyl-1,4-benzoquinol methylase (EC 2.1.1.201)

+

complex_subunit_optional_ftr34048: 0

+

complex_subunit_triggering_ftr34048: 1

+

complex_subunit_features_ftr34048: GW101-3H11_contig_1_1134

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00420: Acetyl-CoA synthetase (EC 6.2.1.1)

+

complex_subunit_optional_tftr00420: 0

+

complex_subunit_triggering_tftr00420: 1

+

complex_subunit_features_tftr00420: GW101-3H11_contig_1_3305

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01612: Aspartate carbamoyltransferase (EC 2.1.3.2)

+

complex_subunit_optional_ftr01612: 0

+

complex_subunit_triggering_ftr01612: 1

+

complex_subunit_features_ftr01612: GW101-3H11_contig_1_4122

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01664: 6-phosphogluconolactonase (EC 3.1.1.31)

+

complex_subunit_optional_ftr01664: 0

+

complex_subunit_triggering_ftr01664: 1

+

complex_subunit_features_ftr01664: GW101-3H11_contig_1_4099

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06443: Glutathione peroxidase (EC 1.11.1.9)

+

complex_subunit_optional_ftr06443: 0

+

complex_subunit_triggering_ftr06443: 1

+

complex_subunit_features_ftr06443: GW101-3H11_contig_1_2051;GW101-3H11_contig_1_325;GW101-3H11_contig_1_4788

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01435: UDP-3-O-[3-hydroxymyristoyl] N-acetylglucosamine deacetylase (EC 3.5.1.108)

+

complex_subunit_optional_ftr01435: 0

+

complex_subunit_triggering_ftr01435: 1

+

complex_subunit_features_ftr01435: GW101-3H11_contig_1_941

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03812: 3-isopropylmalate dehydratase small subunit (EC 4.2.1.33)

+

complex_subunit_optional_ftr03812: 0

+

complex_subunit_triggering_ftr03812: 1

+

complex_subunit_features_ftr03812: GW101-3H11_contig_1_3688

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03113: 3-isopropylmalate dehydratase large subunit (EC 4.2.1.33)

+

complex_subunit_optional_ftr03113: 0

+

complex_subunit_triggering_ftr03113: 1

+

complex_subunit_features_ftr03113: GW101-3H11_contig_1_3686

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01886: Acetoacetyl-CoA synthetase (EC 6.2.1.16)

+

complex_subunit_optional_ftr01886: 0

+

complex_subunit_triggering_ftr01886: 1

+

complex_subunit_features_ftr01886: GW101-3H11_contig_1_185

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04003: Acetoacetyl-CoA synthetase [leucine] (EC 6.2.1.16)

+

complex_subunit_optional_ftr04003: 0

+

complex_subunit_triggering_ftr04003: 1

+

complex_subunit_features_ftr04003: GW101-3H11_contig_1_4299

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01686: Transaldolase (EC 2.2.1.2)

+

complex_subunit_optional_ftr01686: 0

+

complex_subunit_triggering_ftr01686: 1

+

complex_subunit_features_ftr01686: GW101-3H11_contig_1_975

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01070: Pantothenate kinase type III, CoaX-like (EC 2.7.1.33)

+

complex_subunit_optional_ftr01070: 0

+

complex_subunit_triggering_ftr01070: 1

+

complex_subunit_features_ftr01070: GW101-3H11_contig_1_792

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03660: Deoxycytidine triphosphate deaminase (EC 3.5.4.13)

+

complex_subunit_optional_ftr03660: 0

+

complex_subunit_triggering_ftr03660: 1

+

complex_subunit_features_ftr03660: GW101-3H11_contig_1_1380

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01783: Glycolate dehydrogenase (EC 1.1.99.14), subunit GlcD

+

complex_subunit_optional_ftr01783: 0

+

complex_subunit_triggering_ftr01783: 1

+

complex_subunit_features_ftr01783: GW101-3H11_contig_1_511

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00127: Glutamate/aspartate ABC transporter, substrate-binding protein GltI (TC 3.A.1.3.4)

+

complex_subunit_optional_tftr00127: 0

+

complex_subunit_triggering_tftr00127: 1

+

complex_subunit_features_tftr00127: GW101-3H11_contig_1_3327;GW101-3H11_contig_1_3766;GW101-3H11_contig_1_3804;GW101-3H11_contig_1_3806;GW101-3H11_contig_1_876;GW101-3H11_contig_1_877

+

complex_subunit_note_tftr00204: Glutamate/aspartate ABC transporter, ATP-binding protein GltL (TC 3.A.1.3.4)

+

complex_subunit_optional_tftr00204: 0

+

complex_subunit_triggering_tftr00204: 1

+

complex_subunit_features_tftr00204: GW101-3H11_contig_1_880

+

complex_subunit_note_tftr01098: Glutamate/aspartate ABC transporter, permease protein GltJ (TC 3.A.1.3.4)

+

complex_subunit_optional_tftr01098: 0

+

complex_subunit_triggering_tftr01098: 1

+

complex_subunit_features_tftr01098: GW101-3H11_contig_1_878

+

complex_subunit_note_tftr01187: Glutamate/aspartate ABC transporter, permease protein GltK (TC 3.A.1.3.4)

+

complex_subunit_optional_tftr01187: 0

+

complex_subunit_triggering_tftr01187: 1

+

complex_subunit_features_tftr01187: GW101-3H11_contig_1_879

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00142: Carbamoyl-phosphate synthase small chain (EC 6.3.5.5)

+

complex_subunit_optional_ftr00142: 0

+

complex_subunit_triggering_ftr00142: 1

+

complex_subunit_features_ftr00142: GW101-3H11_contig_1_3108

+

complex_subunit_note_ftr00143: Carbamoyl-phosphate synthase large chain (EC 6.3.5.5)

+

complex_subunit_optional_ftr00143: 0

+

complex_subunit_triggering_ftr00143: 1

+

complex_subunit_features_ftr00143: GW101-3H11_contig_1_3107

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01408: Acyl carrier protein

+

complex_subunit_optional_ftr01408: 0

+

complex_subunit_triggering_ftr01408: 1

+

complex_subunit_features_ftr01408: GW101-3H11_contig_1_3741

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06496: GTP pyrophosphokinase (EC 2.7.6.5), (p)ppGpp synthetase II

+

complex_subunit_optional_ftr06496: 0

+

complex_subunit_triggering_ftr06496: 1

+

complex_subunit_features_ftr06496: GW101-3H11_contig_1_1246

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06501: GTP pyrophosphokinase (EC 2.7.6.5), (p)ppGpp synthetase I

+

complex_subunit_optional_ftr06501: 0

+

complex_subunit_triggering_ftr06501: 1

+

complex_subunit_features_ftr06501: GW101-3H11_contig_1_3182

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09485: GTP pyrophosphokinase (EC 2.7.6.5)

+

complex_subunit_optional_ftr09485: 0

+

complex_subunit_triggering_ftr09485: 1

+

complex_subunit_features_ftr09485: GW101-3H11_contig_1_2511

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00504: Fumarate hydratase class I, beta region (EC 4.2.1.2)

+

complex_subunit_optional_tftr00504: 0

+

complex_subunit_triggering_tftr00504: 1

+

complex_subunit_features_tftr00504: GW101-3H11_contig_1_2898

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00260: Fumarate hydratase class I, alpha region (EC 4.2.1.2)

+

complex_subunit_optional_tftr00260: 0

+

complex_subunit_triggering_tftr00260: 1

+

complex_subunit_features_tftr00260: GW101-3H11_contig_1_2897

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01629: Fumarate hydratase class I, aerobic (EC 4.2.1.2)

+

complex_subunit_optional_ftr01629: 0

+

complex_subunit_triggering_ftr01629: 1

+

complex_subunit_features_ftr01629: GW101-3H11_contig_1_3314

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06775: Fumarate hydratase class II (EC 4.2.1.2)

+

complex_subunit_optional_ftr06775: 0

+

complex_subunit_triggering_ftr06775: 1

+

complex_subunit_features_ftr06775: GW101-3H11_contig_1_3313

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05214: 3-deoxy-manno-octulosonate cytidylyltransferase (EC 2.7.7.38)

+

complex_subunit_optional_ftr05214: 0

+

complex_subunit_triggering_ftr05214: 1

+

complex_subunit_features_ftr05214: GW101-3H11_contig_1_2413

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01389: Pyruvate decarboxylase (EC 4.1.1.1)

+

complex_subunit_optional_ftr01389: 0

+

complex_subunit_triggering_ftr01389: 1

+

complex_subunit_features_ftr01389: GW101-3H11_contig_1_222

+

complex_subunit_note_ftr01379: Pyruvate dehydrogenase E1 component (EC 1.2.4.1)

+

complex_subunit_optional_ftr01379: 0

+

complex_subunit_triggering_ftr01379: 1

+

complex_subunit_features_ftr01379: GW101-3H11_contig_1_2647;GW101-3H11_contig_1_3417

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00876: Acetolactate synthase small subunit (EC 2.2.1.6)

+

complex_subunit_optional_ftr00876: 0

+

complex_subunit_triggering_ftr00876: 1

+

complex_subunit_features_ftr00876: GW101-3H11_contig_1_3020

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00875: Acetolactate synthase large subunit (EC 2.2.1.6)

+

complex_subunit_optional_ftr00875: 0

+

complex_subunit_triggering_ftr00875: 1

+

complex_subunit_features_ftr00875: GW101-3H11_contig_1_3021

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07902: Methylmalonyl-CoA mutase (EC 5.4.99.2)

+

complex_subunit_optional_ftr07902: 0

+

complex_subunit_triggering_ftr07902: 1

+

complex_subunit_features_ftr07902: GW101-3H11_contig_1_2523

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08873: Threonine synthase (EC 4.2.3.1)

+

complex_subunit_optional_ftr08873: 0

+

complex_subunit_triggering_ftr08873: 1

+

complex_subunit_features_ftr08873: GW101-3H11_contig_1_3669

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01437: Copper-translocating P-type ATPase (EC 3.6.3.4)

+

complex_subunit_optional_ftr01437: 0

+

complex_subunit_triggering_ftr01437: 1

+

complex_subunit_features_ftr01437: GW101-3H11_contig_1_2761;GW101-3H11_contig_1_2778;GW101-3H11_contig_1_3290;GW101-3H11_contig_1_616;GW101-3H11_contig_1_638;GW101-3H11_contig_1_82

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04032: Anthranilate phosphoribosyltransferase (EC 2.4.2.18)

+

complex_subunit_optional_ftr04032: 0

+

complex_subunit_triggering_ftr04032: 1

+

complex_subunit_features_ftr04032: GW101-3H11_contig_1_4528

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00898: Glucose-1-phosphate cytidylyltransferase (EC 2.7.7.33)

+

complex_subunit_optional_ftr00898: 0

+

complex_subunit_triggering_ftr00898: 1

+

complex_subunit_features_ftr00898: GW101-3H11_contig_1_4359

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04023: 2-oxo-hepta-3-ene-1,7-dioic acid hydratase (EC 4.2.-.-)

+

complex_subunit_optional_ftr04023: 0

+

complex_subunit_triggering_ftr04023: 1

+

complex_subunit_features_ftr04023: GW101-3H11_contig_1_1149;GW101-3H11_contig_1_3647

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06320: Alpha-ribazole-5'-phosphate phosphatase (EC 3.1.3.73)

+

complex_subunit_optional_ftr06320: 0

+

complex_subunit_triggering_ftr06320: 1

+

complex_subunit_features_ftr06320: GW101-3H11_contig_1_956

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09016: Adenylate cyclase (EC 4.6.1.1)

+

complex_subunit_optional_ftr09016: 0

+

complex_subunit_triggering_ftr09016: 1

+

complex_subunit_features_ftr09016: GW101-3H11_contig_1_1305;GW101-3H11_contig_1_2236;GW101-3H11_contig_1_2717;GW101-3H11_contig_1_2991;GW101-3H11_contig_1_3919;GW101-3H11_contig_1_3924;GW101-3H11_contig_1_4685;GW101-3H11_contig_1_4755;GW101-3H11_contig_1_693

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr13903: Quinone oxidoreductase (EC 1.6.5.5)

+

complex_subunit_optional_ftr13903: 0

+

complex_subunit_triggering_ftr13903: 1

+

complex_subunit_features_ftr13903: GW101-3H11_contig_1_2038;GW101-3H11_contig_1_2282;GW101-3H11_contig_1_3618;GW101-3H11_contig_1_3885

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05046: Nicotinamide-nucleotide adenylyltransferase, NadM family (EC 2.7.7.1)

+

complex_subunit_optional_ftr05046: 0

+

complex_subunit_triggering_ftr05046: 1

+

complex_subunit_features_ftr05046: GW101-3H11_contig_1_1022

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00068: Nicotinate phosphoribosyltransferase (EC 6.3.4.21)

+

complex_subunit_optional_tftr00068: 0

+

complex_subunit_triggering_tftr00068: 1

+

complex_subunit_features_tftr00068: GW101-3H11_contig_1_1024;GW101-3H11_contig_1_2198

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00386: Arogenate dehydratase (EC 4.2.1.91)

+

complex_subunit_optional_ftr00386: 0

+

complex_subunit_triggering_ftr00386: 1

+

complex_subunit_features_ftr00386: GW101-3H11_contig_1_3440

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01116: Urease accessory protein UreF

+

complex_subunit_optional_ftr01116: 0

+

complex_subunit_triggering_ftr01116: 1

+

complex_subunit_features_ftr01116: GW101-3H11_contig_1_1277

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01111: Urease alpha subunit (EC 3.5.1.5)

+

complex_subunit_optional_ftr01111: 0

+

complex_subunit_triggering_ftr01111: 1

+

complex_subunit_features_ftr01111: GW101-3H11_contig_1_1280

+

complex_subunit_note_ftr01112: Urease beta subunit (EC 3.5.1.5)

+

complex_subunit_optional_ftr01112: 0

+

complex_subunit_triggering_ftr01112: 1

+

complex_subunit_features_ftr01112: GW101-3H11_contig_1_1281

+

complex_subunit_note_ftr01113: Urease gamma subunit (EC 3.5.1.5)

+

complex_subunit_optional_ftr01113: 0

+

complex_subunit_triggering_ftr01113: 1

+

complex_subunit_features_ftr01113: GW101-3H11_contig_1_1283

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01114: Urease accessory protein UreD

+

complex_subunit_optional_ftr01114: 0

+

complex_subunit_triggering_ftr01114: 1

+

complex_subunit_features_ftr01114: GW101-3H11_contig_1_1311

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01117: Urease accessory protein UreG

+

complex_subunit_optional_ftr01117: 0

+

complex_subunit_triggering_ftr01117: 1

+

complex_subunit_features_ftr01117: GW101-3H11_contig_1_1259;GW101-3H11_contig_1_1276

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01115: Urease accessory protein UreE

+

complex_subunit_optional_ftr01115: 0

+

complex_subunit_triggering_ftr01115: 1

+

complex_subunit_features_ftr01115: GW101-3H11_contig_1_1278

+ + + + + + +

complex_source: SEED

+

complex_subunit_note_ftr19: ATP:Cob(I)alamin adenosyltransferase (EC 2.5.1.17), glycolate utilization

+

complex_subunit_optional_ftr19: 0

+

complex_subunit_triggering_ftr19: 1

+

complex_subunit_features_ftr19: GW101-3H11_contig_1_158

+ + + + + + +

complex_source: SEED

+

complex_subunit_note_ftr20: Cob(I)alamin adenosyltransferase (EC 2.5.1.17), clustered with cobalamin synthesis

+

complex_subunit_optional_ftr20: 0

+

complex_subunit_triggering_ftr20: 1

+

complex_subunit_features_ftr20: GW101-3H11_contig_1_3263

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03607: Methionine gamma-lyase (EC 4.4.1.11)

+

complex_subunit_optional_ftr03607: 0

+

complex_subunit_triggering_ftr03607: 1

+

complex_subunit_features_ftr03607: GW101-3H11_contig_1_3419

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01843: 2-dehydro-3-deoxyphosphogluconate aldolase (EC 4.1.2.14)

+

complex_subunit_optional_ftr01843: 0

+

complex_subunit_triggering_ftr01843: 1

+

complex_subunit_features_ftr01843: GW101-3H11_contig_1_999

+

complex_subunit_note_ftr07954: 4-Hydroxy-2-oxoglutarate aldolase (EC 4.1.3.16)

+

complex_subunit_optional_ftr07954: 0

+

complex_subunit_triggering_ftr07954: 1

+

complex_subunit_features_ftr07954: GW101-3H11_contig_1_999

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00691: UDP-N-acetylenolpyruvoylglucosamine reductase (EC 1.3.1.98)

+

complex_subunit_optional_tftr00691: 0

+

complex_subunit_triggering_tftr00691: 1

+

complex_subunit_features_tftr00691: GW101-3H11_contig_1_2181

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07659: Coproporphyrinogen III oxidase, aerobic (EC 1.3.3.3)

+

complex_subunit_optional_ftr07659: 0

+

complex_subunit_triggering_ftr07659: 1

+

complex_subunit_features_ftr07659: GW101-3H11_contig_1_2380

+ + + + + + +

complex_source: SEED

+

complex_subunit_note_ftr14: N-succinyl-L,L-diaminopimelate aminotransferase (EC 2.6.1.17), type 2

+

complex_subunit_optional_ftr14: 0

+

complex_subunit_triggering_ftr14: 1

+

complex_subunit_features_ftr14: GW101-3H11_contig_1_2507

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03031: Methylcrotonyl-CoA carboxylase biotin-containing subunit (EC 6.4.1.4)

+

complex_subunit_optional_ftr03031: 0

+

complex_subunit_triggering_ftr03031: 1

+

complex_subunit_features_ftr03031: GW101-3H11_contig_1_4291

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03032: Methylcrotonyl-CoA carboxylase carboxyl transferase subunit (EC 6.4.1.4)

+

complex_subunit_optional_ftr03032: 0

+

complex_subunit_triggering_ftr03032: 1

+

complex_subunit_features_ftr03032: GW101-3H11_contig_1_4298

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08245: DNA gyrase subunit A (EC 5.99.1.3)

+

complex_subunit_optional_ftr08245: 0

+

complex_subunit_triggering_ftr08245: 1

+

complex_subunit_features_ftr08245: GW101-3H11_contig_1_2227

+

complex_subunit_note_ftr05021: DNA polymerase III alpha subunit (EC 2.7.7.7)

+

complex_subunit_optional_ftr05021: 0

+

complex_subunit_triggering_ftr05021: 1

+

complex_subunit_features_ftr05021: GW101-3H11_contig_1_2344

+

complex_subunit_note_tftr00931: DNA primase DnaG

+

complex_subunit_optional_tftr00931: 0

+

complex_subunit_triggering_tftr00931: 1

+

complex_subunit_features_tftr00931: GW101-3H11_contig_1_3459

+

complex_subunit_note_ftr00464: Chromosomal replication initiator protein DnaA

+

complex_subunit_optional_ftr00464: 0

+

complex_subunit_triggering_ftr00464: 1

+

complex_subunit_features_ftr00464: GW101-3H11_contig_1_1

+

complex_subunit_note_ftr00466: DNA gyrase subunit B (EC 5.99.1.3)

+

complex_subunit_optional_ftr00466: 0

+

complex_subunit_triggering_ftr00466: 1

+

complex_subunit_features_ftr00466: GW101-3H11_contig_1_3

+

complex_subunit_note_ftr04250: DNA polymerase III epsilon subunit (EC 2.7.7.7)

+

complex_subunit_optional_ftr04250: 0

+

complex_subunit_triggering_ftr04250: 1

+

complex_subunit_features_ftr04250: GW101-3H11_contig_1_2660

+

complex_subunit_note_ftr00465: DNA polymerase III beta subunit (EC 2.7.7.7)

+

complex_subunit_optional_ftr00465: 0

+

complex_subunit_triggering_ftr00465: 1

+

complex_subunit_features_ftr00465: GW101-3H11_contig_1_2

+

complex_subunit_note_ftr05554: Chromosome partition protein smc

+

complex_subunit_optional_ftr05554: 0

+

complex_subunit_triggering_ftr05554: 1

+

complex_subunit_features_ftr05554: GW101-3H11_contig_1_2098;GW101-3H11_contig_1_2484

+

complex_subunit_note_ftr02991: Single-stranded DNA-binding protein

+

complex_subunit_optional_ftr02991: 0

+

complex_subunit_triggering_ftr02991: 1

+

complex_subunit_features_ftr02991: GW101-3H11_contig_1_4838

+

complex_subunit_note_ftr02988: Helicase PriA essential for oriC/DnaA-independent DNA replication

+

complex_subunit_optional_ftr02988: 0

+

complex_subunit_triggering_ftr02988: 1

+

complex_subunit_features_ftr02988: GW101-3H11_contig_1_4430

+

complex_subunit_note_ftr05120: DNA polymerase III chi subunit (EC 2.7.7.7)

+

complex_subunit_optional_ftr05120: 0

+

complex_subunit_triggering_ftr05120: 1

+

complex_subunit_features_ftr05120: GW101-3H11_contig_1_2403

+

complex_subunit_note_ftr08496: DNA polymerase III delta prime subunit (EC 2.7.7.7)

+

complex_subunit_optional_ftr08496: 0

+

complex_subunit_triggering_ftr08496: 1

+

complex_subunit_features_ftr08496: GW101-3H11_contig_1_2309

+

complex_subunit_note_ftr05551: Segregation and condensation protein A

+

complex_subunit_optional_ftr05551: 0

+

complex_subunit_triggering_ftr05551: 1

+

complex_subunit_features_ftr05551: GW101-3H11_contig_1_3971

+

complex_subunit_note_ftr03481: DNA topoisomerase I (EC 5.99.1.2)

+

complex_subunit_optional_ftr03481: 0

+

complex_subunit_triggering_ftr03481: 1

+

complex_subunit_features_ftr03481: GW101-3H11_contig_1_1469

+

complex_subunit_note_ftr05552: Segregation and condensation protein B

+

complex_subunit_optional_ftr05552: 0

+

complex_subunit_triggering_ftr05552: 1

+

complex_subunit_features_ftr05552: GW101-3H11_contig_1_1810

+

complex_subunit_note_ftr03585: DNA polymerase III subunits gamma and tau (EC 2.7.7.7)

+

complex_subunit_optional_ftr03585: 0

+

complex_subunit_triggering_ftr03585: 1

+

complex_subunit_features_ftr03585: GW101-3H11_contig_1_3073

+

complex_subunit_note_ftr08106: DNA polymerase III delta subunit (EC 2.7.7.7)

+

complex_subunit_optional_ftr08106: 0

+

complex_subunit_triggering_ftr08106: 1

+

complex_subunit_features_ftr08106: GW101-3H11_contig_1_4603

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03663: Formyltetrahydrofolate deformylase (EC 3.5.1.10)

+

complex_subunit_optional_ftr03663: 0

+

complex_subunit_triggering_ftr03663: 1

+

complex_subunit_features_ftr03663: GW101-3H11_contig_1_513

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03200: 2-C-methyl-D-erythritol 4-phosphate cytidylyltransferase (EC 2.7.7.60)

+

complex_subunit_optional_ftr03200: 0

+

complex_subunit_triggering_ftr03200: 1

+

complex_subunit_features_ftr03200: GW101-3H11_contig_1_3212

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01073: Cobalamin synthase (EC 2.7.8.26)

+

complex_subunit_optional_tftr01073: 0

+

complex_subunit_triggering_tftr01073: 1

+

complex_subunit_features_tftr01073: GW101-3H11_contig_1_957

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02808: Phosphoribosyl-ATP pyrophosphatase (EC 3.6.1.31)

+

complex_subunit_optional_ftr02808: 0

+

complex_subunit_triggering_ftr02808: 1

+

complex_subunit_features_ftr02808: GW101-3H11_contig_1_1081

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06638: Enolase (EC 4.2.1.11)

+

complex_subunit_optional_ftr06638: 0

+

complex_subunit_triggering_ftr06638: 1

+

complex_subunit_features_ftr06638: GW101-3H11_contig_1_3554

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00933: Urocanate hydratase (EC 4.2.1.49)

+

complex_subunit_optional_ftr00933: 0

+

complex_subunit_triggering_ftr00933: 1

+

complex_subunit_features_ftr00933: GW101-3H11_contig_1_2242

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01052: Ribose-phosphate pyrophosphokinase, possible alternative form 2

+

complex_subunit_optional_tftr01052: 0

+

complex_subunit_triggering_tftr01052: 1

+

complex_subunit_features_tftr01052: GW101-3H11_contig_1_2600

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01633: Ribose-phosphate pyrophosphokinase (EC 2.7.6.1)

+

complex_subunit_optional_ftr01633: 0

+

complex_subunit_triggering_ftr01633: 1

+

complex_subunit_features_ftr01633: GW101-3H11_contig_1_1171

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02302: Sulfate transport system permease protein CysT

+

complex_subunit_optional_ftr02302: 0

+

complex_subunit_triggering_ftr02302: 1

+

complex_subunit_features_ftr02302: GW101-3H11_contig_1_2878

+

complex_subunit_note_ftr02301: Sulfate transport system permease protein CysW

+

complex_subunit_optional_ftr02301: 0

+

complex_subunit_triggering_ftr02301: 1

+

complex_subunit_features_ftr02301: GW101-3H11_contig_1_2877

+

complex_subunit_note_ftr02300: Sulfate and thiosulfate import ATP-binding protein CysA (EC 3.6.3.25)

+

complex_subunit_optional_ftr02300: 0

+

complex_subunit_triggering_ftr02300: 1

+

complex_subunit_features_ftr02300: GW101-3H11_contig_1_2876

+

complex_subunit_note_ftr02303: Sulfate and thiosulfate binding protein CysP

+

complex_subunit_optional_ftr02303: 0

+

complex_subunit_triggering_ftr02303: 1

+

complex_subunit_features_ftr02303: GW101-3H11_contig_1_2879;GW101-3H11_contig_1_2960

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01782: Glycine dehydrogenase [decarboxylating] (glycine cleavage system P2 protein) (EC 1.4.4.2)

+

complex_subunit_optional_ftr01782: 0

+

complex_subunit_triggering_ftr01782: 1

+

complex_subunit_features_ftr01782: GW101-3H11_contig_1_3719

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01781: Glycine dehydrogenase [decarboxylating] (glycine cleavage system P1 protein) (EC 1.4.4.2)

+

complex_subunit_optional_ftr01781: 0

+

complex_subunit_triggering_ftr01781: 1

+

complex_subunit_features_ftr01781: GW101-3H11_contig_1_3720

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01780: Glycine dehydrogenase [decarboxylating] (glycine cleavage system P protein) (EC 1.4.4.2)

+

complex_subunit_optional_ftr01780: 0

+

complex_subunit_triggering_ftr01780: 1

+

complex_subunit_features_ftr01780: GW101-3H11_contig_1_2838

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01768: Ferredoxin-dependent glutamate synthase (EC 1.4.7.1)

+

complex_subunit_optional_ftr01768: 0

+

complex_subunit_triggering_ftr01768: 1

+

complex_subunit_features_ftr01768: GW101-3H11_contig_1_4564

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08569: Phosphonate ABC transporter permease protein phnE (TC 3.A.1.9.1)

+

complex_subunit_optional_ftr08569: 0

+

complex_subunit_triggering_ftr08569: 1

+

complex_subunit_features_ftr08569: GW101-3H11_contig_1_579

+

complex_subunit_note_tftr00148: Phosphonate ABC transporter substrate-binding protein PhnD (TC 3.A.1.9.1)

+

complex_subunit_optional_tftr00148: 0

+

complex_subunit_triggering_tftr00148: 1

+

complex_subunit_features_tftr00148: GW101-3H11_contig_1_578

+

complex_subunit_note_tftr01012: Phosphonate ABC transporter ATP-binding protein PhnC (TC 3.A.1.9.1)

+

complex_subunit_optional_tftr01012: 0

+

complex_subunit_triggering_tftr01012: 1

+

complex_subunit_features_tftr01012: GW101-3H11_contig_1_577

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00437: Aspartate aminotransferase (AspB-4) (EC 2.6.1.1)

+

complex_subunit_optional_tftr00437: 0

+

complex_subunit_triggering_tftr00437: 1

+

complex_subunit_features_tftr00437: GW101-3H11_contig_1_3242

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08500: UDP-N-acetylglucosamine 1-carboxyvinyltransferase (EC 2.5.1.7)

+

complex_subunit_optional_ftr08500: 0

+

complex_subunit_triggering_ftr08500: 1

+

complex_subunit_features_ftr08500: GW101-3H11_contig_1_1065

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03957: Propionate--CoA ligase (EC 6.2.1.17)

+

complex_subunit_optional_ftr03957: 0

+

complex_subunit_triggering_ftr03957: 1

+

complex_subunit_features_ftr03957: GW101-3H11_contig_1_2595

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03957: Propionate--CoA ligase (EC 6.2.1.17)

+

complex_subunit_optional_ftr03957: 0

+

complex_subunit_triggering_ftr03957: 1

+

complex_subunit_features_ftr03957: GW101-3H11_contig_1_2595

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01613: Phosphoribosylformylglycinamidine cyclo-ligase (EC 6.3.3.1)

+

complex_subunit_optional_ftr01613: 0

+

complex_subunit_triggering_ftr01613: 1

+

complex_subunit_features_ftr01613: GW101-3H11_contig_1_1444

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09517: Phosphoribosylaminoimidazolecarboxamide formyltransferase (EC 2.1.2.3)

+

complex_subunit_optional_ftr09517: 0

+

complex_subunit_triggering_ftr09517: 1

+

complex_subunit_features_ftr09517: GW101-3H11_contig_1_4137

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05038: Kynurenine formamidase, bacterial (EC 3.5.1.9)

+

complex_subunit_optional_ftr05038: 0

+

complex_subunit_triggering_ftr05038: 1

+

complex_subunit_features_ftr05038: GW101-3H11_contig_1_1418

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr50357: 3-hydroxyacyl-[acyl-carrier-protein] dehydratase, FabZ form (EC 4.2.1.59)

+

complex_subunit_optional_ftr50357: 0

+

complex_subunit_triggering_ftr50357: 1

+

complex_subunit_features_ftr50357: GW101-3H11_contig_1_3114

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03155: 3-hydroxybutyrate dehydrogenase (EC 1.1.1.30)

+

complex_subunit_optional_ftr03155: 0

+

complex_subunit_triggering_ftr03155: 1

+

complex_subunit_features_ftr03155: GW101-3H11_contig_1_3184

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08519: Thioredoxin

+

complex_subunit_optional_ftr08519: 0

+

complex_subunit_triggering_ftr08519: 1

+

complex_subunit_features_ftr08519: GW101-3H11_contig_1_3077

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05915: Phosphoadenylyl-sulfate reductase [thioredoxin] (EC 1.8.4.8)

+

complex_subunit_optional_ftr05915: 0

+

complex_subunit_triggering_ftr05915: 1

+

complex_subunit_features_ftr05915: GW101-3H11_contig_1_2966

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00748: NADP-dependent malic enzyme (EC 1.1.1.40)

+

complex_subunit_optional_ftr00748: 0

+

complex_subunit_triggering_ftr00748: 1

+

complex_subunit_features_ftr00748: GW101-3H11_contig_1_1341;GW101-3H11_contig_1_4889

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03106: Thymidylate kinase (EC 2.7.4.9)

+

complex_subunit_optional_ftr03106: 0

+

complex_subunit_triggering_ftr03106: 1

+

complex_subunit_features_ftr03106: GW101-3H11_contig_1_2308

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01974: Anaerobic dehydrogenases, typically selenocysteine-containing

+

complex_subunit_optional_ftr01974: 0

+

complex_subunit_triggering_ftr01974: 1

+

complex_subunit_features_ftr01974: GW101-3H11_contig_1_2011

+

complex_subunit_note_ftr00705: Formate dehydrogenase O gamma subunit (EC 1.2.1.2)

+

complex_subunit_optional_ftr00705: 0

+

complex_subunit_triggering_ftr00705: 1

+

complex_subunit_features_ftr00705: GW101-3H11_contig_1_3947

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08047: Mercuric ion reductase (EC:1.16.1.1)

+

complex_subunit_optional_ftr08047: 0

+

complex_subunit_triggering_ftr08047: 1

+

complex_subunit_features_ftr08047: GW101-3H11_contig_1_646

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr13255: UDP-N-acetylmuramoyl-tripeptide--D-alanyl-D-alanine ligase (EC 6.3.2.10)

+

complex_subunit_optional_ftr13255: 0

+

complex_subunit_triggering_ftr13255: 1

+

complex_subunit_features_ftr13255: GW101-3H11_contig_1_930

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09339: Phenylacetaldehyde dehydrogenase (EC 1.2.1.39)

+

complex_subunit_optional_ftr09339: 0

+

complex_subunit_triggering_ftr09339: 1

+

complex_subunit_features_ftr09339: GW101-3H11_contig_1_3660

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr12742: Glutaredoxin 3 (Grx3)

+

complex_subunit_optional_ftr12742: 0

+

complex_subunit_triggering_ftr12742: 1

+

complex_subunit_features_ftr12742: GW101-3H11_contig_1_4006

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04740: Acetyl-coenzyme A carboxyl transferase beta chain (EC 6.4.1.2)

+

complex_subunit_optional_ftr04740: 0

+

complex_subunit_triggering_ftr04740: 1

+

complex_subunit_features_ftr04740: GW101-3H11_contig_1_3697

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04739: Acetyl-coenzyme A carboxyl transferase alpha chain (EC 6.4.1.2)

+

complex_subunit_optional_ftr04739: 0

+

complex_subunit_triggering_ftr04739: 1

+

complex_subunit_features_ftr04739: GW101-3H11_contig_1_3405

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05126: ABC-type nitrate/sulfonate/bicarbonate transport systems, periplasmic components

+

complex_subunit_optional_ftr05126: 0

+

complex_subunit_triggering_ftr05126: 1

+

complex_subunit_features_ftr05126: GW101-3H11_contig_1_1777

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01783: Glycolate dehydrogenase (EC 1.1.99.14), subunit GlcD

+

complex_subunit_optional_ftr01783: 0

+

complex_subunit_triggering_ftr01783: 1

+

complex_subunit_features_ftr01783: GW101-3H11_contig_1_511

+

complex_subunit_note_ftr01784: Glycolate dehydrogenase (EC 1.1.99.14), FAD-binding subunit GlcE

+

complex_subunit_optional_ftr01784: 0

+

complex_subunit_triggering_ftr01784: 1

+

complex_subunit_features_ftr01784: GW101-3H11_contig_1_312

+

complex_subunit_note_ftr01785: Glycolate dehydrogenase (EC 1.1.99.14), iron-sulfur subunit GlcF

+

complex_subunit_optional_ftr01785: 0

+

complex_subunit_triggering_ftr01785: 1

+

complex_subunit_features_ftr01785: GW101-3H11_contig_1_314

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01699: Aminodeoxychorismate lyase (EC 4.1.3.38)

+

complex_subunit_optional_ftr01699: 0

+

complex_subunit_triggering_ftr01699: 1

+

complex_subunit_features_ftr01699: GW101-3H11_contig_1_3984

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00145: Lipid A biosynthesis lauroyl acyltransferase (EC 2.3.1.241)

+

complex_subunit_optional_tftr00145: 0

+

complex_subunit_triggering_tftr00145: 1

+

complex_subunit_features_tftr00145: GW101-3H11_contig_1_1030;GW101-3H11_contig_1_1031

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02461: Cobalt-zinc-cadmium resistance protein CzcD

+

complex_subunit_optional_ftr02461: 0

+

complex_subunit_triggering_ftr02461: 1

+

complex_subunit_features_ftr02461: GW101-3H11_contig_1_778

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00136: Cobyrinic acid a,c-diamide synthetase (EC 6.3.5.11)

+

complex_subunit_optional_tftr00136: 0

+

complex_subunit_triggering_tftr00136: 1

+

complex_subunit_features_tftr00136: GW101-3H11_contig_1_3271

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01698: Para-aminobenzoate synthase, amidotransferase component (EC 2.6.1.85)

+

complex_subunit_optional_ftr01698: 0

+

complex_subunit_triggering_ftr01698: 1

+

complex_subunit_features_ftr01698: GW101-3H11_contig_1_4530

+

complex_subunit_note_ftr01697: Para-aminobenzoate synthase, aminase component (EC 2.6.1.85)

+

complex_subunit_optional_ftr01697: 0

+

complex_subunit_triggering_ftr01697: 1

+

complex_subunit_features_ftr01697: GW101-3H11_contig_1_3984

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09156: Succinate dehydrogenase cytochrome b-556 subunit

+

complex_subunit_optional_ftr09156: 0

+

complex_subunit_triggering_ftr09156: 1

+

complex_subunit_features_ftr09156: GW101-3H11_contig_1_1748

+

complex_subunit_note_ftr09157: Succinate dehydrogenase hydrophobic membrane anchor protein

+

complex_subunit_optional_ftr09157: 0

+

complex_subunit_triggering_ftr09157: 1

+

complex_subunit_features_ftr09157: GW101-3H11_contig_1_1747

+

complex_subunit_note_tftr00036: Succinate dehydrogenase iron-sulfur protein (EC 1.3.5.1)

+

complex_subunit_optional_tftr00036: 0

+

complex_subunit_triggering_tftr00036: 1

+

complex_subunit_features_tftr00036: GW101-3H11_contig_1_1745

+

complex_subunit_note_tftr00716: Succinate dehydrogenase flavoprotein subunit (EC 1.3.5.1)

+

complex_subunit_optional_tftr00716: 0

+

complex_subunit_triggering_tftr00716: 1

+

complex_subunit_features_tftr00716: GW101-3H11_contig_1_1746

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03110: Similar to phosphoglycolate phosphatase, clustered with ubiquinone biosynthesis SAM-dependent O-methyltransferase

+

complex_subunit_optional_ftr03110: 0

+

complex_subunit_triggering_ftr03110: 1

+

complex_subunit_features_ftr03110: GW101-3H11_contig_1_2230

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01753: Phosphoglycolate phosphatase (EC 3.1.3.18)

+

complex_subunit_optional_ftr01753: 0

+

complex_subunit_triggering_ftr01753: 1

+

complex_subunit_features_ftr01753: GW101-3H11_contig_1_4535

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03834: Similar to phosphoglycolate phosphatase, clustered with ribosomal large subunit pseudouridine synthase C

+

complex_subunit_optional_ftr03834: 0

+

complex_subunit_triggering_ftr03834: 1

+

complex_subunit_features_ftr03834: GW101-3H11_contig_1_3753

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00512: Bacterioferritin (EC 1.16.3.1)

+

complex_subunit_optional_tftr00512: 0

+

complex_subunit_triggering_tftr00512: 1

+

complex_subunit_features_tftr00512: GW101-3H11_contig_1_3300;GW101-3H11_contig_1_3499

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04424: 3-dehydroquinate dehydratase II (EC 4.2.1.10)

+

complex_subunit_optional_ftr04424: 0

+

complex_subunit_triggering_ftr04424: 1

+

complex_subunit_features_ftr04424: GW101-3H11_contig_1_3424

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00966: Selenide,water dikinase (EC 2.7.9.3)

+

complex_subunit_optional_ftr00966: 0

+

complex_subunit_triggering_ftr00966: 1

+

complex_subunit_features_ftr00966: GW101-3H11_contig_1_3926

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: GW101-3H11_contig_1_441

+

complex_subunit_note_ftr12723: Phosphotransferase system, phosphocarrier protein HPr

+

complex_subunit_optional_ftr12723: 0

+

complex_subunit_triggering_ftr12723: 1

+

complex_subunit_features_ftr12723: GW101-3H11_contig_1_440

+

complex_subunit_note_ftr16166: PTS system, IIA component

+

complex_subunit_optional_ftr16166: 0

+

complex_subunit_triggering_ftr16166: 1

+

complex_subunit_features_ftr16166: GW101-3H11_contig_1_439

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01408: Acyl carrier protein

+

complex_subunit_optional_ftr01408: 1

+

complex_subunit_triggering_ftr01408: 0

+

complex_subunit_features_ftr01408: GW101-3H11_contig_1_3741

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04188: Glycerol kinase (EC 2.7.1.30)

+

complex_subunit_optional_ftr04188: 0

+

complex_subunit_triggering_ftr04188: 1

+

complex_subunit_features_ftr04188: GW101-3H11_contig_1_4510

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00093: 3-polyprenyl-4-hydroxybenzoate carboxy-lyase (EC 4.1.1.98)

+

complex_subunit_optional_tftr00093: 0

+

complex_subunit_triggering_tftr00093: 1

+

complex_subunit_features_tftr00093: GW101-3H11_contig_1_4918

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02237: NAD(P) transhydrogenase subunit beta (EC 1.6.1.2)

+

complex_subunit_optional_ftr02237: 0

+

complex_subunit_triggering_ftr02237: 1

+

complex_subunit_features_ftr02237: GW101-3H11_contig_1_4643

+

complex_subunit_note_tftr00110: NAD(P) transhydrogenase C-domain of subunit alpha (EC 1.6.1.2)

+

complex_subunit_optional_tftr00110: 0

+

complex_subunit_triggering_tftr00110: 1

+

complex_subunit_features_tftr00110: GW101-3H11_contig_1_4644

+

complex_subunit_note_tftr00308: NAD(P) transhydrogenase N-domain of subunit alpha (EC 1.6.1.2)

+

complex_subunit_optional_tftr00308: 0

+

complex_subunit_triggering_tftr00308: 1

+

complex_subunit_features_tftr00308: GW101-3H11_contig_1_4644

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00928: Dihydropyrimidinase (EC 3.5.2.2)

+

complex_subunit_optional_ftr00928: 0

+

complex_subunit_triggering_ftr00928: 1

+

complex_subunit_features_ftr00928: GW101-3H11_contig_1_1018

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01011: Peptide-methionine (R)-S-oxide reductase MsrB (EC 1.8.4.12)

+

complex_subunit_optional_tftr01011: 0

+

complex_subunit_triggering_tftr01011: 1

+

complex_subunit_features_tftr01011: GW101-3H11_contig_1_2264

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09236: 4-carboxymuconolactone decarboxylase (EC 4.1.1.44)

+

complex_subunit_optional_ftr09236: 0

+

complex_subunit_triggering_ftr09236: 1

+

complex_subunit_features_ftr09236: GW101-3H11_contig_1_2807

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01878: Pterin-4-alpha-carbinolamine dehydratase (EC 4.2.1.96)

+

complex_subunit_optional_ftr01878: 0

+

complex_subunit_triggering_ftr01878: 1

+

complex_subunit_features_ftr01878: GW101-3H11_contig_1_3841

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00068: Nicotinate phosphoribosyltransferase (EC 6.3.4.21)

+

complex_subunit_optional_tftr00068: 0

+

complex_subunit_triggering_tftr00068: 1

+

complex_subunit_features_tftr00068: GW101-3H11_contig_1_1024;GW101-3H11_contig_1_2198

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08495: Inosine-5'-monophosphate dehydrogenase (EC 1.1.1.205)

+

complex_subunit_optional_ftr08495: 0

+

complex_subunit_triggering_ftr08495: 1

+

complex_subunit_features_ftr08495: GW101-3H11_contig_1_1929

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02401: Iron(III) dicitrate transport system permease protein fecD (TC 3.A.1.14.1)

+

complex_subunit_optional_ftr02401: 0

+

complex_subunit_triggering_ftr02401: 1

+

complex_subunit_features_ftr02401: GW101-3H11_contig_1_3268;GW101-3H11_contig_1_357

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09906: Phosphoglucomutase (EC 5.4.2.2)

+

complex_subunit_optional_ftr09906: 0

+

complex_subunit_triggering_ftr09906: 1

+

complex_subunit_features_ftr09906: GW101-3H11_contig_1_2589

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01174: Ribosome small subunit biogenesis RbfA-release protein RsgA

+

complex_subunit_optional_tftr01174: 0

+

complex_subunit_triggering_tftr01174: 1

+

complex_subunit_features_tftr01174: GW101-3H11_contig_1_3842

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02447: Sodium-dependent phosphate transporter

+

complex_subunit_optional_ftr02447: 0

+

complex_subunit_triggering_ftr02447: 1

+

complex_subunit_features_ftr02447: GW101-3H11_contig_1_3880

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04418: 2-keto-3-deoxy-D-arabino-heptulosonate-7-phosphate synthase I alpha (EC 2.5.1.54)

+

complex_subunit_optional_ftr04418: 0

+

complex_subunit_triggering_ftr04418: 1

+

complex_subunit_features_ftr04418: GW101-3H11_contig_1_4176;GW101-3H11_contig_1_63

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr31511: trans-feruloyl-CoA synthase (EC 6.2.1.34)

+

complex_subunit_optional_ftr31511: 0

+

complex_subunit_triggering_ftr31511: 1

+

complex_subunit_features_ftr31511: GW101-3H11_contig_1_302

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08206: Transketolase, C-terminal section (EC 2.2.1.1)

+

complex_subunit_optional_ftr08206: 0

+

complex_subunit_triggering_ftr08206: 1

+

complex_subunit_features_ftr08206: GW101-3H11_contig_1_985

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08207: Transketolase, N-terminal section (EC 2.2.1.1)

+

complex_subunit_optional_ftr08207: 0

+

complex_subunit_triggering_ftr08207: 1

+

complex_subunit_features_ftr08207: GW101-3H11_contig_1_986

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01675: Transketolase (EC 2.2.1.1)

+

complex_subunit_optional_ftr01675: 0

+

complex_subunit_triggering_ftr01675: 1

+

complex_subunit_features_ftr01675: GW101-3H11_contig_1_4656

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00272: 5-methyltetrahydrofolate--homocysteine methyltransferase (EC 2.1.1.13), N-terminal domain

+

complex_subunit_optional_tftr00272: 0

+

complex_subunit_triggering_tftr00272: 1

+

complex_subunit_features_tftr00272: GW101-3H11_contig_1_234

+

complex_subunit_note_tftr00898: 5-methyltetrahydrofolate--homocysteine methyltransferase (EC 2.1.1.13), C-terminal domain

+

complex_subunit_optional_tftr00898: 0

+

complex_subunit_triggering_tftr00898: 1

+

complex_subunit_features_tftr00898: GW101-3H11_contig_1_257

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03198: 1-deoxy-D-xylulose 5-phosphate synthase (EC 2.2.1.7)

+

complex_subunit_optional_ftr03198: 0

+

complex_subunit_triggering_ftr03198: 1

+

complex_subunit_features_ftr03198: GW101-3H11_contig_1_1562

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01745: D-3-phosphoglycerate dehydrogenase (EC 1.1.1.95)

+

complex_subunit_optional_ftr01745: 0

+

complex_subunit_triggering_ftr01745: 1

+

complex_subunit_features_ftr01745: GW101-3H11_contig_1_1130;GW101-3H11_contig_1_2406;GW101-3H11_contig_1_2459;GW101-3H11_contig_1_2815;GW101-3H11_contig_1_4290;GW101-3H11_contig_1_870

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09511: Phosphoribosylformylglycinamidine synthase, synthetase subunit (EC 6.3.5.3)

+

complex_subunit_optional_ftr09511: 0

+

complex_subunit_triggering_ftr09511: 1

+

complex_subunit_features_ftr09511: GW101-3H11_contig_1_3008

+

complex_subunit_note_ftr09512: Phosphoribosylformylglycinamidine synthase, glutamine amidotransferase subunit (EC 6.3.5.3)

+

complex_subunit_optional_ftr09512: 0

+

complex_subunit_triggering_ftr09512: 1

+

complex_subunit_features_ftr09512: GW101-3H11_contig_1_3008

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01779: Glycine cleavage system H protein

+

complex_subunit_optional_ftr01779: 0

+

complex_subunit_triggering_ftr01779: 1

+

complex_subunit_features_ftr01779: GW101-3H11_contig_1_2837

+

complex_subunit_note_ftr01606: Aminomethyltransferase (glycine cleavage system T protein) (EC 2.1.2.10)

+

complex_subunit_optional_ftr01606: 0

+

complex_subunit_triggering_ftr01606: 1

+

complex_subunit_features_ftr01606: GW101-3H11_contig_1_2836

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00883: 3-deoxy-D-manno-octulosonic acid transferase (EC 2.4.99.12)(EC 2.4.99.13)

+

complex_subunit_optional_tftr00883: 0

+

complex_subunit_triggering_tftr00883: 1

+

complex_subunit_features_tftr00883: GW101-3H11_contig_1_2587

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04865: Glucokinase (EC 2.7.1.2)

+

complex_subunit_optional_ftr04865: 0

+

complex_subunit_triggering_ftr04865: 1

+

complex_subunit_features_ftr04865: GW101-3H11_contig_1_983

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: GW101-3H11_contig_1_441

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01839: Glucose-6-phosphate isomerase (EC 5.3.1.9)

+

complex_subunit_optional_ftr01839: 0

+

complex_subunit_triggering_ftr01839: 1

+

complex_subunit_features_ftr01839: GW101-3H11_contig_1_993;GW101-3H11_contig_1_994

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01062: Aspartate 1-decarboxylase (EC 4.1.1.11)

+

complex_subunit_optional_ftr01062: 0

+

complex_subunit_triggering_ftr01062: 1

+

complex_subunit_features_ftr01062: GW101-3H11_contig_1_3975

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01029: Ribose ABC transporter, permease protein RbsC (TC 3.A.1.2.1)

+

complex_subunit_optional_tftr01029: 0

+

complex_subunit_triggering_tftr01029: 1

+

complex_subunit_features_tftr01029: GW101-3H11_contig_1_758

+

complex_subunit_note_tftr00485: Ribose ABC transporter, substrate-binding protein RbsB (TC 3.A.1.2.1)

+

complex_subunit_optional_tftr00485: 0

+

complex_subunit_triggering_tftr00485: 1

+

complex_subunit_features_tftr00485: GW101-3H11_contig_1_759

+

complex_subunit_note_tftr00057: D-ribose pyranase (EC 5.4.99.62)

+

complex_subunit_optional_tftr00057: 0

+

complex_subunit_triggering_tftr00057: 1

+

complex_subunit_features_tftr00057: GW101-3H11_contig_1_755

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr12803: NADPH-dependent broad range aldehyde dehydrogenase YqhD

+

complex_subunit_optional_ftr12803: 0

+

complex_subunit_triggering_ftr12803: 1

+

complex_subunit_features_ftr12803: GW101-3H11_contig_1_543

+

complex_subunit_note_ftr09093: Aldehyde dehydrogenase B (EC 1.2.1.22)

+

complex_subunit_optional_ftr09093: 0

+

complex_subunit_triggering_ftr09093: 1

+

complex_subunit_features_ftr09093: GW101-3H11_contig_1_3768;GW101-3H11_contig_1_4105

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02433: Magnesium and cobalt transport protein CorA

+

complex_subunit_optional_ftr02433: 0

+

complex_subunit_triggering_ftr02433: 1

+

complex_subunit_features_ftr02433: GW101-3H11_contig_1_409;GW101-3H11_contig_1_4640

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01064: 2-dehydropantoate 2-reductase (EC 1.1.1.169)

+

complex_subunit_optional_ftr01064: 0

+

complex_subunit_triggering_ftr01064: 1

+

complex_subunit_features_ftr01064: GW101-3H11_contig_1_2454;GW101-3H11_contig_1_336;GW101-3H11_contig_1_4090

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02446: Sulfate permease

+

complex_subunit_optional_ftr02446: 0

+

complex_subunit_triggering_ftr02446: 1

+

complex_subunit_features_ftr02446: GW101-3H11_contig_1_1386;GW101-3H11_contig_1_2540;GW101-3H11_contig_1_3968

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00148: Aconitate hydratase (EC 4.2.1.3)

+

complex_subunit_optional_ftr00148: 0

+

complex_subunit_triggering_ftr00148: 1

+

complex_subunit_features_ftr00148: GW101-3H11_contig_1_1402

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00149: Aconitate hydratase 2 (EC 4.2.1.3)

+

complex_subunit_optional_ftr00149: 0

+

complex_subunit_triggering_ftr00149: 1

+

complex_subunit_features_ftr00149: GW101-3H11_contig_1_1753

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02935: Glucosamine-1-phosphate N-acetyltransferase (EC 2.3.1.157)

+

complex_subunit_optional_ftr02935: 0

+

complex_subunit_triggering_ftr02935: 1

+

complex_subunit_features_ftr02935: GW101-3H11_contig_1_4244

+

complex_subunit_note_ftr02936: N-acetylglucosamine-1-phosphate uridyltransferase (EC 2.7.7.23)

+

complex_subunit_optional_ftr02936: 0

+

complex_subunit_triggering_ftr02936: 1

+

complex_subunit_features_ftr02936: GW101-3H11_contig_1_4244

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06319: Nicotinate-nucleotide--dimethylbenzimidazole phosphoribosyltransferase (EC 2.4.2.21)

+

complex_subunit_optional_ftr06319: 0

+

complex_subunit_triggering_ftr06319: 1

+

complex_subunit_features_ftr06319: GW101-3H11_contig_1_3257

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01103: Spermidine synthase-like protein

+

complex_subunit_optional_tftr01103: 0

+

complex_subunit_triggering_tftr01103: 1

+

complex_subunit_features_tftr01103: GW101-3H11_contig_1_3897

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10838: Spermidine synthase (EC 2.5.1.16)

+

complex_subunit_optional_ftr10838: 0

+

complex_subunit_triggering_ftr10838: 1

+

complex_subunit_features_ftr10838: GW101-3H11_contig_1_4870

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00640: Dethiobiotin synthase BioD (EC 6.3.3.3)

+

complex_subunit_optional_tftr00640: 0

+

complex_subunit_triggering_tftr00640: 1

+

complex_subunit_features_tftr00640: GW101-3H11_contig_1_3977

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr31849: D-serine ammonia-lyase (EC 4.3.1.18)

+

complex_subunit_optional_ftr31849: 0

+

complex_subunit_triggering_ftr31849: 1

+

complex_subunit_features_ftr31849: GW101-3H11_contig_1_2684

+

complex_subunit_note_tftr01017: Putative cryptic D-serine deaminase (EC 4.3.1.18)

+

complex_subunit_optional_tftr01017: 0

+

complex_subunit_triggering_tftr01017: 1

+

complex_subunit_features_tftr01017: GW101-3H11_contig_1_4612

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr50383: Low-specificity L-threonine aldolase (EC 4.1.2.48)

+

complex_subunit_optional_ftr50383: 0

+

complex_subunit_triggering_ftr50383: 1

+

complex_subunit_features_ftr50383: GW101-3H11_contig_1_503

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08487: D-alanine--D-alanine ligase (EC 6.3.2.4)

+

complex_subunit_optional_ftr08487: 0

+

complex_subunit_triggering_ftr08487: 1

+

complex_subunit_features_ftr08487: GW101-3H11_contig_1_936

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03040: 3-hydroxyisobutyrate dehydrogenase (EC 1.1.1.31)

+

complex_subunit_optional_ftr03040: 0

+

complex_subunit_triggering_ftr03040: 1

+

complex_subunit_features_ftr03040: GW101-3H11_contig_1_2438

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01347: Ribonucleotide reductase of class Ia (aerobic), beta subunit (EC 1.17.4.1)

+

complex_subunit_optional_ftr01347: 0

+

complex_subunit_triggering_ftr01347: 1

+

complex_subunit_features_ftr01347: GW101-3H11_contig_1_4165

+

complex_subunit_note_ftr01346: Ribonucleotide reductase of class Ia (aerobic), alpha subunit (EC 1.17.4.1)

+

complex_subunit_optional_ftr01346: 0

+

complex_subunit_triggering_ftr01346: 1

+

complex_subunit_features_ftr01346: GW101-3H11_contig_1_4164

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03611: Adenosylhomocysteinase (EC 3.3.1.1)

+

complex_subunit_optional_ftr03611: 0

+

complex_subunit_triggering_ftr03611: 1

+

complex_subunit_features_ftr03611: GW101-3H11_contig_1_220;GW101-3H11_contig_1_4265

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00756: 5-oxoprolinase (EC 3.5.2.9), HyuB-like domain

+

complex_subunit_optional_tftr00756: 0

+

complex_subunit_triggering_tftr00756: 1

+

complex_subunit_features_tftr00756: GW101-3H11_contig_1_2211;GW101-3H11_contig_1_2825

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01091: 5-oxoprolinase (EC 3.5.2.9), HyuA-like domain

+

complex_subunit_optional_tftr01091: 0

+

complex_subunit_triggering_tftr01091: 1

+

complex_subunit_features_tftr01091: GW101-3H11_contig_1_2211;GW101-3H11_contig_1_2825

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08957: S-formylglutathione hydrolase (EC 3.1.2.12)

+

complex_subunit_optional_ftr08957: 0

+

complex_subunit_triggering_ftr08957: 1

+

complex_subunit_features_ftr08957: GW101-3H11_contig_1_1740

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01383: Dihydrolipoamide dehydrogenase of pyruvate dehydrogenase complex (EC 1.8.1.4)

+

complex_subunit_optional_ftr01383: 0

+

complex_subunit_triggering_ftr01383: 1

+

complex_subunit_features_ftr01383: GW101-3H11_contig_1_2645

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06750: Dihydrolipoamide dehydrogenase of 2-oxoglutarate dehydrogenase (EC 1.8.1.4)

+

complex_subunit_optional_ftr06750: 0

+

complex_subunit_triggering_ftr06750: 1

+

complex_subunit_features_ftr06750: GW101-3H11_contig_1_2337

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10823: Thiamine-monophosphate kinase (EC 2.7.4.16)

+

complex_subunit_optional_ftr10823: 0

+

complex_subunit_triggering_ftr10823: 1

+

complex_subunit_features_ftr10823: GW101-3H11_contig_1_4549

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02300: Sulfate and thiosulfate import ATP-binding protein CysA (EC 3.6.3.25)

+

complex_subunit_optional_ftr02300: 0

+

complex_subunit_triggering_ftr02300: 1

+

complex_subunit_features_ftr02300: GW101-3H11_contig_1_2876

+

complex_subunit_note_ftr02303: Sulfate and thiosulfate binding protein CysP

+

complex_subunit_optional_ftr02303: 0

+

complex_subunit_triggering_ftr02303: 1

+

complex_subunit_features_ftr02303: GW101-3H11_contig_1_2879;GW101-3H11_contig_1_2960

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02811: Imidazoleglycerol-phosphate dehydratase (EC 4.2.1.19)

+

complex_subunit_optional_ftr02811: 0

+

complex_subunit_triggering_ftr02811: 1

+

complex_subunit_features_ftr02811: GW101-3H11_contig_1_1075

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04870: Gluconokinase (EC 2.7.1.12)

+

complex_subunit_optional_ftr04870: 0

+

complex_subunit_triggering_ftr04870: 1

+

complex_subunit_features_ftr04870: GW101-3H11_contig_1_1679

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00621: 2-ketoaldonate reductase, broad specificity (EC 1.1.1.215)

+

complex_subunit_optional_tftr00621: 0

+

complex_subunit_triggering_tftr00621: 1

+

complex_subunit_features_tftr00621: GW101-3H11_contig_1_2200

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05892: Argininosuccinate synthase (EC 6.3.4.5)

+

complex_subunit_optional_ftr05892: 0

+

complex_subunit_triggering_ftr05892: 1

+

complex_subunit_features_ftr05892: GW101-3H11_contig_1_2184

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01063: 3-methyl-2-oxobutanoate hydroxymethyltransferase (EC 2.1.2.11)

+

complex_subunit_optional_ftr01063: 0

+

complex_subunit_triggering_ftr01063: 1

+

complex_subunit_features_ftr01063: GW101-3H11_contig_1_3987

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03141: 3-hydroxybutyryl-CoA epimerase (EC 5.1.2.3)

+

complex_subunit_optional_ftr03141: 0

+

complex_subunit_triggering_ftr03141: 1

+

complex_subunit_features_ftr03141: GW101-3H11_contig_1_2275;GW101-3H11_contig_1_854

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06375: FMN adenylyltransferase (EC 2.7.7.2)

+

complex_subunit_optional_ftr06375: 0

+

complex_subunit_triggering_ftr06375: 1

+

complex_subunit_features_ftr06375: GW101-3H11_contig_1_3877

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03646: Indolepyruvate ferredoxin oxidoreductase, alpha and beta subunits

+

complex_subunit_optional_ftr03646: 0

+

complex_subunit_triggering_ftr03646: 1

+

complex_subunit_features_ftr03646: GW101-3H11_contig_1_2084;GW101-3H11_contig_1_4806

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02333: High-affinity branched-chain amino acid transport system permease protein LivH (TC 3.A.1.4.1)

+

complex_subunit_optional_ftr02333: 0

+

complex_subunit_triggering_ftr02333: 1

+

complex_subunit_features_ftr02333: GW101-3H11_contig_1_1697

+

complex_subunit_note_tftr00963: Branched-chain amino acid ABC transporter, ATP-binding protein LivF (TC 3.A.1.4.1)

+

complex_subunit_optional_tftr00963: 0

+

complex_subunit_triggering_tftr00963: 1

+

complex_subunit_features_tftr00963: GW101-3H11_contig_1_3342;GW101-3H11_contig_1_3655;GW101-3H11_contig_1_3854

+

complex_subunit_note_ftr02331: Branched-chain amino acid transport ATP-binding protein livG (TC 3.A.1.4.1)

+

complex_subunit_optional_ftr02331: 0

+

complex_subunit_triggering_ftr02331: 1

+

complex_subunit_features_ftr02331: GW101-3H11_contig_1_1695;GW101-3H11_contig_1_3656

+

complex_subunit_note_tftr00775: Branched-chain amino acid ABC transporter, substrate-binding protein LivJ (TC 3.A.1.4.1)

+

complex_subunit_optional_tftr00775: 0

+

complex_subunit_triggering_tftr00775: 1

+

complex_subunit_features_tftr00775: GW101-3H11_contig_1_1690;GW101-3H11_contig_1_2720;GW101-3H11_contig_1_4434

+

complex_subunit_note_tftr01136: Branched-chain amino acid ABC transporter, permease protein LivH (TC 3.A.1.4.1)

+

complex_subunit_optional_tftr01136: 0

+

complex_subunit_triggering_tftr01136: 1

+

complex_subunit_features_tftr01136: GW101-3H11_contig_1_3658;GW101-3H11_contig_1_3857

+

complex_subunit_note_tftr00188: Branched-chain amino acid ABC transporter, ATP-binding protein LivG (TC 3.A.1.4.1)

+

complex_subunit_optional_tftr00188: 0

+

complex_subunit_triggering_tftr00188: 1

+

complex_subunit_features_tftr00188: GW101-3H11_contig_1_3855

+

complex_subunit_note_tftr00297: Branched-chain amino acid ABC transporter, permease protein LivM (TC 3.A.1.4.1)

+

complex_subunit_optional_tftr00297: 0

+

complex_subunit_triggering_tftr00297: 1

+

complex_subunit_features_tftr00297: GW101-3H11_contig_1_3856

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01691: FolM Alternative dihydrofolate reductase 1

+

complex_subunit_optional_ftr01691: 0

+

complex_subunit_triggering_ftr01691: 1

+

complex_subunit_features_ftr01691: GW101-3H11_contig_1_2054;GW101-3H11_contig_1_736

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01690: Dihydrofolate reductase (EC 1.5.1.3)

+

complex_subunit_optional_ftr01690: 0

+

complex_subunit_triggering_ftr01690: 1

+

complex_subunit_features_ftr01690: GW101-3H11_contig_1_1839

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03954: 2-methylisocitrate dehydratase (EC 4.2.1.99)

+

complex_subunit_optional_ftr03954: 0

+

complex_subunit_triggering_ftr03954: 1

+

complex_subunit_features_ftr03954: GW101-3H11_contig_1_1753

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04856: Ubiquinone biosynthesis monooxygenase UbiB

+

complex_subunit_optional_ftr04856: 0

+

complex_subunit_triggering_ftr04856: 1

+

complex_subunit_features_ftr04856: GW101-3H11_contig_1_4464

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr12803: NADPH-dependent broad range aldehyde dehydrogenase YqhD

+

complex_subunit_optional_ftr12803: 0

+

complex_subunit_triggering_ftr12803: 1

+

complex_subunit_features_ftr12803: GW101-3H11_contig_1_543

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00206: Maleylacetoacetate isomerase (EC 5.2.1.2)

+

complex_subunit_optional_ftr00206: 0

+

complex_subunit_triggering_ftr00206: 1

+

complex_subunit_features_ftr00206: GW101-3H11_contig_1_2496

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01634: Gamma-glutamyl phosphate reductase (EC 1.2.1.41)

+

complex_subunit_optional_ftr01634: 0

+

complex_subunit_triggering_ftr01634: 1

+

complex_subunit_features_ftr01634: GW101-3H11_contig_1_4600

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00832: 2-keto-4-pentenoate hydratase (EC 4.2.1.80)

+

complex_subunit_optional_tftr00832: 0

+

complex_subunit_triggering_tftr00832: 1

+

complex_subunit_features_tftr00832: GW101-3H11_contig_1_2303;GW101-3H11_contig_1_4467

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00054: Glutamate synthase [NADPH] small chain (EC 1.4.1.13)

+

complex_subunit_optional_ftr00054: 0

+

complex_subunit_triggering_ftr00054: 1

+

complex_subunit_features_ftr00054: GW101-3H11_contig_1_1055

+

complex_subunit_note_ftr02622: Glutamate synthase [NADPH] large chain (EC 1.4.1.13)

+

complex_subunit_optional_ftr02622: 0

+

complex_subunit_triggering_ftr02622: 1

+

complex_subunit_features_ftr02622: GW101-3H11_contig_1_1054;GW101-3H11_contig_1_2290;GW101-3H11_contig_1_2299;GW101-3H11_contig_1_4025;GW101-3H11_contig_1_741

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00968: Uridylate kinase (EC 2.7.4.22)

+

complex_subunit_optional_tftr00968: 0

+

complex_subunit_triggering_tftr00968: 1

+

complex_subunit_features_tftr00968: GW101-3H11_contig_1_3123

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00597: 5-hydroxyisourate hydrolase (EC 3.5.2.17)

+

complex_subunit_optional_tftr00597: 0

+

complex_subunit_triggering_tftr00597: 1

+

complex_subunit_features_tftr00597: GW101-3H11_contig_1_1358

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05193: L-2-keto-3-deoxyarabonate dehydratase (EC 4.2.1.43)

+

complex_subunit_optional_ftr05193: 0

+

complex_subunit_triggering_ftr05193: 1

+

complex_subunit_features_ftr05193: GW101-3H11_contig_1_2935

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03204: (2E,6E)-farnesyl diphosphate synthase (EC 2.5.1.10)

+

complex_subunit_optional_ftr03204: 0

+

complex_subunit_triggering_ftr03204: 1

+

complex_subunit_features_ftr03204: GW101-3H11_contig_1_1561

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00613: Vitamin B12 ABC transporter, substrate-binding protein BtuF

+

complex_subunit_optional_tftr00613: 0

+

complex_subunit_triggering_tftr00613: 1

+

complex_subunit_features_tftr00613: GW101-3H11_contig_1_3269

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr30360: UDP-N-acetylmuramoyl-L-alanine---D-glutamate ligase (EC 6.3.2.9)

+

complex_subunit_optional_ftr30360: 0

+

complex_subunit_triggering_ftr30360: 1

+

complex_subunit_features_ftr30360: GW101-3H11_contig_1_932

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03568: Guanine deaminase (EC 3.5.4.3)

+

complex_subunit_optional_ftr03568: 0

+

complex_subunit_triggering_ftr03568: 1

+

complex_subunit_features_ftr03568: GW101-3H11_contig_1_1379

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06643: Aldose 1-epimerase (EC 5.1.3.3)

+

complex_subunit_optional_ftr06643: 0

+

complex_subunit_triggering_ftr06643: 1

+

complex_subunit_features_ftr06643: GW101-3H11_contig_1_4096

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02124: Multimodular transpeptidase-transglycosylase (EC 2.4.1.129) (EC 3.4.-.-)

+

complex_subunit_optional_ftr02124: 0

+

complex_subunit_triggering_ftr02124: 1

+

complex_subunit_features_ftr02124: GW101-3H11_contig_1_1043;GW101-3H11_contig_1_2488;GW101-3H11_contig_1_3789

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11098: 2-dehydro-3-deoxyphosphogalactonate aldolase (EC 4.1.2.21)

+

complex_subunit_optional_ftr11098: 0

+

complex_subunit_triggering_ftr11098: 1

+

complex_subunit_features_ftr11098: GW101-3H11_contig_1_2937

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr31085: 3-oxoadipyl-CoA thiolase (EC 2.3.1.174)

+

complex_subunit_optional_ftr31085: 0

+

complex_subunit_triggering_ftr31085: 1

+

complex_subunit_features_ftr31085: GW101-3H11_contig_1_4067

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00463: Ribonuclease P protein component (EC 3.1.26.5)

+

complex_subunit_optional_ftr00463: 0

+

complex_subunit_triggering_ftr00463: 1

+

complex_subunit_features_ftr00463: GW101-3H11_contig_1_4955

+

complex_subunit_note_ftr02755: Ribonuclease III (EC 3.1.26.3)

+

complex_subunit_optional_ftr02755: 0

+

complex_subunit_triggering_ftr02755: 1

+

complex_subunit_features_ftr02755: GW101-3H11_contig_1_3732

+

complex_subunit_note_ftr00139: RNA polymerase sigma factor RpoD

+

complex_subunit_optional_ftr00139: 0

+

complex_subunit_triggering_ftr00139: 1

+

complex_subunit_features_ftr00139: GW101-3H11_contig_1_3460

+

complex_subunit_note_ftr08515: DNA-directed RNA polymerase alpha subunit (EC 2.7.7.6)

+

complex_subunit_optional_ftr08515: 0

+

complex_subunit_triggering_ftr08515: 1

+

complex_subunit_features_ftr08515: GW101-3H11_contig_1_4486

+

complex_subunit_note_ftr08516: DNA-directed RNA polymerase beta subunit (EC 2.7.7.6)

+

complex_subunit_optional_ftr08516: 0

+

complex_subunit_triggering_ftr08516: 1

+

complex_subunit_features_ftr08516: GW101-3H11_contig_1_486;GW101-3H11_contig_1_487

+

complex_subunit_note_ftr04845: Transcription termination protein NusA

+

complex_subunit_optional_ftr04845: 0

+

complex_subunit_triggering_ftr04845: 1

+

complex_subunit_features_ftr04845: GW101-3H11_contig_1_1918

+

complex_subunit_note_ftr00964: tRNA (5-methylaminomethyl-2-thiouridylate)-methyltransferase (EC 2.1.1.61)

+

complex_subunit_optional_ftr00964: 0

+

complex_subunit_triggering_ftr00964: 1

+

complex_subunit_features_ftr00964: GW101-3H11_contig_1_2962

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04028: 5-carboxymethyl-2-oxo-hex-3- ene-1,7-dioate decarboxylase (EC 4.1.1.68)

+

complex_subunit_optional_ftr04028: 0

+

complex_subunit_triggering_ftr04028: 1

+

complex_subunit_features_ftr04028: GW101-3H11_contig_1_3652

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03490: Undecaprenyl-diphosphatase (EC 3.6.1.27)

+

complex_subunit_optional_ftr03490: 0

+

complex_subunit_triggering_ftr03490: 1

+

complex_subunit_features_ftr03490: GW101-3H11_contig_1_1625

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00083: Glutamate racemase (EC 5.1.1.3)

+

complex_subunit_optional_ftr00083: 0

+

complex_subunit_triggering_ftr00083: 1

+

complex_subunit_features_ftr00083: GW101-3H11_contig_1_3315

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01060: Pyrimidine permease

+

complex_subunit_optional_tftr01060: 0

+

complex_subunit_triggering_tftr01060: 1

+

complex_subunit_features_tftr01060: GW101-3H11_contig_1_163

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01148: N5-carboxyaminoimidazole ribonucleotide synthase (EC 6.3.4.18)

+

complex_subunit_optional_tftr01148: 0

+

complex_subunit_triggering_tftr01148: 1

+

complex_subunit_features_tftr01148: GW101-3H11_contig_1_4630

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11214: Glutamine ABC transporter, ATP-binding protein GlnQ

+

complex_subunit_optional_ftr11214: 0

+

complex_subunit_triggering_ftr11214: 1

+

complex_subunit_features_ftr11214: GW101-3H11_contig_1_2246;GW101-3H11_contig_1_381

+

complex_subunit_note_tftr00359: Glutamine ABC transporter, substrate-binding protein GlnH

+

complex_subunit_optional_tftr00359: 0

+

complex_subunit_triggering_tftr00359: 1

+

complex_subunit_features_tftr00359: GW101-3H11_contig_1_2244

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00160: Ribitol 2-dehydrogenase (EC 1.1.1.56)

+

complex_subunit_optional_ftr00160: 0

+

complex_subunit_triggering_ftr00160: 1

+

complex_subunit_features_ftr00160: GW101-3H11_contig_1_1849

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02617: L-asparaginase (EC 3.5.1.1)

+

complex_subunit_optional_ftr02617: 0

+

complex_subunit_triggering_ftr02617: 1

+

complex_subunit_features_ftr02617: GW101-3H11_contig_1_2409;GW101-3H11_contig_1_784

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00153: Citrate synthase (si) (EC 2.3.3.1)

+

complex_subunit_optional_ftr00153: 0

+

complex_subunit_triggering_ftr00153: 1

+

complex_subunit_features_ftr00153: GW101-3H11_contig_1_1743;GW101-3H11_contig_1_2007

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05047: NAD synthetase (EC 6.3.1.5)

+

complex_subunit_optional_ftr05047: 0

+

complex_subunit_triggering_ftr05047: 1

+

complex_subunit_features_ftr05047: GW101-3H11_contig_1_1023;GW101-3H11_contig_1_3029

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01408: Acyl carrier protein

+

complex_subunit_optional_ftr01408: 1

+

complex_subunit_triggering_ftr01408: 0

+

complex_subunit_features_ftr01408: GW101-3H11_contig_1_3741

+

complex_subunit_note_ftr05208: Acyl-[acyl-carrier-protein]--UDP-N-acetylglucosamine O-acyltransferase (EC 2.3.1.129)

+

complex_subunit_optional_ftr05208: 0

+

complex_subunit_triggering_ftr05208: 1

+

complex_subunit_features_ftr05208: GW101-3H11_contig_1_3113

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06576: Aspartate ammonia-lyase (EC 4.3.1.1)

+

complex_subunit_optional_ftr06576: 0

+

complex_subunit_triggering_ftr06576: 1

+

complex_subunit_features_ftr06576: GW101-3H11_contig_1_4558

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07509: Adenosine deaminase (EC 3.5.4.4)

+

complex_subunit_optional_ftr07509: 0

+

complex_subunit_triggering_ftr07509: 1

+

complex_subunit_features_ftr07509: GW101-3H11_contig_1_1376

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05083: 8-amino-7-oxononanoate synthase (EC 2.3.1.47)

+

complex_subunit_optional_ftr05083: 0

+

complex_subunit_triggering_ftr05083: 1

+

complex_subunit_features_ftr05083: GW101-3H11_contig_1_3978

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00051: Delta-1-pyrroline-5-carboxylate dehydrogenase (EC 1.2.1.88)

+

complex_subunit_optional_tftr00051: 0

+

complex_subunit_triggering_tftr00051: 1

+

complex_subunit_features_tftr00051: GW101-3H11_contig_1_1935

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02934: Phosphoglucosamine mutase (EC 5.4.2.10)

+

complex_subunit_optional_ftr02934: 0

+

complex_subunit_triggering_ftr02934: 1

+

complex_subunit_features_ftr02934: GW101-3H11_contig_1_3099

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04718: 2,3,4,5-tetrahydropyridine-2,6-dicarboxylate N-succinyltransferase (EC 2.3.1.117)

+

complex_subunit_optional_ftr04718: 0

+

complex_subunit_triggering_ftr04718: 1

+

complex_subunit_features_ftr04718: GW101-3H11_contig_1_2506

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04984: Thiol peroxidase, Bcp-type (EC 1.11.1.15)

+

complex_subunit_optional_ftr04984: 0

+

complex_subunit_triggering_ftr04984: 1

+

complex_subunit_features_ftr04984: GW101-3H11_contig_1_3674

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05889: N-acetyl-gamma-glutamyl-phosphate reductase (EC 1.2.1.38)

+

complex_subunit_optional_ftr05889: 0

+

complex_subunit_triggering_ftr05889: 1

+

complex_subunit_features_ftr05889: GW101-3H11_contig_1_1011;GW101-3H11_contig_1_4749

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05210: UDP-2,3-diacylglucosamine diphosphatase (EC 3.6.1.54)

+

complex_subunit_optional_ftr05210: 0

+

complex_subunit_triggering_ftr05210: 1

+

complex_subunit_features_ftr05210: GW101-3H11_contig_1_3412

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01066: Pantoate--beta-alanine ligase (EC 6.3.2.1)

+

complex_subunit_optional_ftr01066: 0

+

complex_subunit_triggering_ftr01066: 1

+

complex_subunit_features_ftr01066: GW101-3H11_contig_1_2004;GW101-3H11_contig_1_3988

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05824: Alcohol dehydrogenase (EC 1.1.1.1)

+

complex_subunit_optional_ftr05824: 0

+

complex_subunit_triggering_ftr05824: 1

+

complex_subunit_features_ftr05824: GW101-3H11_contig_1_2302

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03124: Sulfite reductase [NADPH] hemoprotein beta-component (EC 1.8.1.2)

+

complex_subunit_optional_ftr03124: 0

+

complex_subunit_triggering_ftr03124: 1

+

complex_subunit_features_ftr03124: GW101-3H11_contig_1_2964

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02389: Cytochrome c-type biogenesis protein DsbD, protein-disulfide reductase (EC 1.8.1.8)

+

complex_subunit_optional_ftr02389: 0

+

complex_subunit_triggering_ftr02389: 1

+

complex_subunit_features_ftr02389: GW101-3H11_contig_1_4404

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01101: Phosphomannomutase (EC 5.4.2.8)

+

complex_subunit_optional_ftr01101: 0

+

complex_subunit_triggering_ftr01101: 1

+

complex_subunit_features_ftr01101: GW101-3H11_contig_1_2589

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08307: Cystathionine beta-lyase (EC 4.4.1.8)

+

complex_subunit_optional_ftr08307: 0

+

complex_subunit_triggering_ftr08307: 1

+

complex_subunit_features_ftr08307: GW101-3H11_contig_1_2699

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04035: Indole-3-glycerol phosphate synthase (EC 4.1.1.48)

+

complex_subunit_optional_ftr04035: 0

+

complex_subunit_triggering_ftr04035: 1

+

complex_subunit_features_ftr04035: GW101-3H11_contig_1_2904;GW101-3H11_contig_1_4527

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00875: Acetolactate synthase large subunit (EC 2.2.1.6)

+

complex_subunit_optional_ftr00875: 0

+

complex_subunit_triggering_ftr00875: 1

+

complex_subunit_features_ftr00875: GW101-3H11_contig_1_3021

+

complex_subunit_note_ftr00876: Acetolactate synthase small subunit (EC 2.2.1.6)

+

complex_subunit_optional_ftr00876: 0

+

complex_subunit_triggering_ftr00876: 1

+

complex_subunit_features_ftr00876: GW101-3H11_contig_1_3020

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00073: Phosphomethylpyrimidine synthase ThiC (EC 4.1.99.17)

+

complex_subunit_optional_tftr00073: 0

+

complex_subunit_triggering_tftr00073: 1

+

complex_subunit_features_tftr00073: GW101-3H11_contig_1_943

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01072: Phosphopantothenoylcysteine decarboxylase (EC 4.1.1.36)

+

complex_subunit_optional_ftr01072: 0

+

complex_subunit_triggering_ftr01072: 1

+

complex_subunit_features_ftr01072: GW101-3H11_contig_1_3550

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06031: Deoxyuridine 5'-triphosphate nucleotidohydrolase (EC 3.6.1.23)

+

complex_subunit_optional_ftr06031: 0

+

complex_subunit_triggering_ftr06031: 1

+

complex_subunit_features_ftr06031: GW101-3H11_contig_1_3548

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05035: Tryptophan 2,3-dioxygenase (EC 1.13.11.11)

+

complex_subunit_optional_ftr05035: 0

+

complex_subunit_triggering_ftr05035: 1

+

complex_subunit_features_ftr05035: GW101-3H11_contig_1_1416

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10841: S-adenosylmethionine decarboxylase proenzyme (EC 4.1.1.50), prokaryotic class 1B

+

complex_subunit_optional_ftr10841: 0

+

complex_subunit_triggering_ftr10841: 1

+

complex_subunit_features_ftr10841: GW101-3H11_contig_1_4655

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07667: Ferrochelatase, protoheme ferro-lyase (EC 4.99.1.1)

+

complex_subunit_optional_ftr07667: 0

+

complex_subunit_triggering_ftr07667: 1

+

complex_subunit_features_ftr07667: GW101-3H11_contig_1_3340

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00809: Hydroxyacylglutathione hydrolase (EC 3.1.2.6)

+

complex_subunit_optional_ftr00809: 0

+

complex_subunit_triggering_ftr00809: 1

+

complex_subunit_features_ftr00809: GW101-3H11_contig_1_3066

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09063: 5-amino-6-(5-phosphoribosylamino)uracil reductase (EC 1.1.1.193)

+

complex_subunit_optional_ftr09063: 0

+

complex_subunit_triggering_ftr09063: 1

+

complex_subunit_features_ftr09063: GW101-3H11_contig_1_3626

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01015: Formate-dependent phosphoribosylglycinamide formyltransferase

+

complex_subunit_optional_tftr01015: 0

+

complex_subunit_triggering_tftr01015: 1

+

complex_subunit_features_tftr01015: GW101-3H11_contig_1_698

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03962: Beta-ketoadipate enol-lactone hydrolase (EC 3.1.1.24)

+

complex_subunit_optional_ftr03962: 0

+

complex_subunit_triggering_ftr03962: 1

+

complex_subunit_features_ftr03962: GW101-3H11_contig_1_3989

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01841: Glucose-6-phosphate 1-dehydrogenase (EC 1.1.1.49)

+

complex_subunit_optional_ftr01841: 0

+

complex_subunit_triggering_ftr01841: 1

+

complex_subunit_features_ftr01841: GW101-3H11_contig_1_992

+ + + + + + +

complex_source: PlantSEED

+

complex_subunit_note_ftr50132: 4-hydroxy-tetrahydrodipicolinate reductase (EC 1.17.1.8)

+

complex_subunit_optional_ftr50132: 0

+

complex_subunit_triggering_ftr50132: 1

+

complex_subunit_features_ftr50132: GW101-3H11_contig_1_4619

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04449: Ornithine carbamoyltransferase (EC 2.1.3.3)

+

complex_subunit_optional_ftr04449: 0

+

complex_subunit_triggering_ftr04449: 1

+

complex_subunit_features_ftr04449: GW101-3H11_contig_1_1429

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02509: Transporter, LysE family

+

complex_subunit_optional_ftr02509: 0

+

complex_subunit_triggering_ftr02509: 1

+

complex_subunit_features_ftr02509: GW101-3H11_contig_1_1611;GW101-3H11_contig_1_3005;GW101-3H11_contig_1_4386;GW101-3H11_contig_1_4395;GW101-3H11_contig_1_4529

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06654: Phosphoserine aminotransferase (EC 2.6.1.52)

+

complex_subunit_optional_ftr06654: 0

+

complex_subunit_triggering_ftr06654: 1

+

complex_subunit_features_ftr06654: GW101-3H11_contig_1_2226

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07463: 4-oxalocrotonate tautomerase (EC 5.3.2.-)

+

complex_subunit_optional_ftr07463: 0

+

complex_subunit_triggering_ftr07463: 1

+

complex_subunit_features_ftr07463: GW101-3H11_contig_1_3909

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01694: Folylpolyglutamate synthase (EC 6.3.2.17)

+

complex_subunit_optional_ftr01694: 0

+

complex_subunit_triggering_ftr01694: 1

+

complex_subunit_features_ftr01694: GW101-3H11_contig_1_2188

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04012: Thioredoxin reductase (EC 1.8.1.9)

+

complex_subunit_optional_ftr04012: 0

+

complex_subunit_triggering_ftr04012: 1

+

complex_subunit_features_ftr04012: GW101-3H11_contig_1_2916;GW101-3H11_contig_1_2970;GW101-3H11_contig_1_3862

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07178: Acetylornithine deacetylase/Succinyl-diaminopimelate desuccinylase and related deacylases

+

complex_subunit_optional_ftr07178: 0

+

complex_subunit_triggering_ftr07178: 1

+

complex_subunit_features_ftr07178: GW101-3H11_contig_1_2171;GW101-3H11_contig_1_4514;GW101-3H11_contig_1_4931;GW101-3H11_contig_1_882

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04720: N-succinyl-L,L-diaminopimelate desuccinylase (EC 3.5.1.18)

+

complex_subunit_optional_ftr04720: 0

+

complex_subunit_triggering_ftr04720: 1

+

complex_subunit_features_ftr04720: GW101-3H11_contig_1_2504

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01700: Thymidylate synthase (EC 2.1.1.45)

+

complex_subunit_optional_ftr01700: 0

+

complex_subunit_triggering_ftr01700: 1

+

complex_subunit_features_ftr01700: GW101-3H11_contig_1_1841

+ + + + + + +

complex_source: SEED

+

complex_subunit_note_ftr: 2-polyprenyl-6-hydroxyphenyl methylase (ec 2.1.1.222)

+

complex_subunit_optional_ftr: 0

+

complex_subunit_triggering_ftr: 1

+

complex_subunit_features_ftr: GW101-3H11_contig_1_2229

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01791: Malate synthase G (EC 2.3.3.9)

+

complex_subunit_optional_ftr01791: 0

+

complex_subunit_triggering_ftr01791: 1

+

complex_subunit_features_ftr01791: GW101-3H11_contig_1_4586

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01592: Lactoylglutathione lyase (EC 4.4.1.5)

+

complex_subunit_optional_ftr01592: 0

+

complex_subunit_triggering_ftr01592: 1

+

complex_subunit_features_ftr01592: GW101-3H11_contig_1_2366;GW101-3H11_contig_1_2549;GW101-3H11_contig_1_2908

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05766: Ferredoxin--NADP(+) reductase (EC 1.18.1.2)

+

complex_subunit_optional_ftr05766: 0

+

complex_subunit_triggering_ftr05766: 1

+

complex_subunit_features_ftr05766: GW101-3H11_contig_1_273

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00871: Cyclic pyranopterin monophosphate synthase (EC 4.6.1.17)

+

complex_subunit_optional_tftr00871: 0

+

complex_subunit_triggering_tftr00871: 1

+

complex_subunit_features_tftr00871: GW101-3H11_contig_1_4763

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00212: Thiazole synthase (EC 2.8.1.10)

+

complex_subunit_optional_tftr00212: 0

+

complex_subunit_triggering_tftr00212: 1

+

complex_subunit_features_tftr00212: GW101-3H11_contig_1_2977

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01194: CobN-like chelatase BtuS for metalloporphyrine salvage

+

complex_subunit_optional_tftr01194: 0

+

complex_subunit_triggering_tftr01194: 1

+

complex_subunit_features_tftr01194: GW101-3H11_contig_1_3264

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr30690: trans-2-decenoyl-[acyl-carrier protein] isomerase (EC 5.3.3.14)

+

complex_subunit_optional_ftr30690: 0

+

complex_subunit_triggering_ftr30690: 1

+

complex_subunit_features_ftr30690: GW101-3H11_contig_1_776

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00878: Molybdenum cofactor cytidylyltransferase (EC 2.7.7.76)

+

complex_subunit_optional_tftr00878: 0

+

complex_subunit_triggering_tftr00878: 1

+

complex_subunit_features_tftr00878: GW101-3H11_contig_1_2553

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00875: Acetolactate synthase large subunit (EC 2.2.1.6)

+

complex_subunit_optional_ftr00875: 0

+

complex_subunit_triggering_ftr00875: 1

+

complex_subunit_features_ftr00875: GW101-3H11_contig_1_3021

+

complex_subunit_note_ftr00876: Acetolactate synthase small subunit (EC 2.2.1.6)

+

complex_subunit_optional_ftr00876: 0

+

complex_subunit_triggering_ftr00876: 1

+

complex_subunit_features_ftr00876: GW101-3H11_contig_1_3020

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01379: Pyruvate dehydrogenase E1 component (EC 1.2.4.1)

+

complex_subunit_optional_ftr01379: 0

+

complex_subunit_triggering_ftr01379: 1

+

complex_subunit_features_ftr01379: GW101-3H11_contig_1_2647;GW101-3H11_contig_1_3417

+

complex_subunit_note_ftr01383: Dihydrolipoamide dehydrogenase of pyruvate dehydrogenase complex (EC 1.8.1.4)

+

complex_subunit_optional_ftr01383: 0

+

complex_subunit_triggering_ftr01383: 1

+

complex_subunit_features_ftr01383: GW101-3H11_contig_1_2645

+

complex_subunit_note_ftr01382: Dihydrolipoamide acetyltransferase component of pyruvate dehydrogenase complex (EC 2.3.1.12)

+

complex_subunit_optional_ftr01382: 0

+

complex_subunit_triggering_ftr01382: 1

+

complex_subunit_features_ftr01382: GW101-3H11_contig_1_2404;GW101-3H11_contig_1_2646

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00225: Alpha-D-ribose 1-methylphosphonate 5-triphosphate synthase subunit PhnI (EC 2.7.8.37)

+

complex_subunit_optional_tftr00225: 0

+

complex_subunit_triggering_tftr00225: 1

+

complex_subunit_features_tftr00225: GW101-3H11_contig_1_571

+

complex_subunit_note_tftr00928: Alpha-D-ribose 1-methylphosphonate 5-triphosphate synthase subunit PhnH (EC 2.7.8.37)

+

complex_subunit_optional_tftr00928: 0

+

complex_subunit_triggering_tftr00928: 1

+

complex_subunit_features_tftr00928: GW101-3H11_contig_1_570

+

complex_subunit_note_tftr00203: Alpha-D-ribose 1-methylphosphonate 5-triphosphate synthase subunit PhnL (EC 2.7.8.37)

+

complex_subunit_optional_tftr00203: 0

+

complex_subunit_triggering_tftr00203: 1

+

complex_subunit_features_tftr00203: GW101-3H11_contig_1_575

+

complex_subunit_note_tftr00943: Alpha-D-ribose 1-methylphosphonate 5-triphosphate synthase subunit PhnG (EC 2.7.8.37)

+

complex_subunit_optional_tftr00943: 0

+

complex_subunit_triggering_tftr00943: 1

+

complex_subunit_features_tftr00943: GW101-3H11_contig_1_569

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05765: Heme A synthase, cytochrome oxidase biogenesis protein Cox15-CtaA

+

complex_subunit_optional_ftr05765: 0

+

complex_subunit_triggering_ftr05765: 1

+

complex_subunit_features_ftr05765: GW101-3H11_contig_1_4031

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02135: Cytochrome O ubiquinol oxidase subunit I (EC 1.10.3.-)

+

complex_subunit_optional_ftr02135: 0

+

complex_subunit_triggering_ftr02135: 1

+

complex_subunit_features_ftr02135: GW101-3H11_contig_1_1761

+

complex_subunit_note_ftr02136: Cytochrome O ubiquinol oxidase subunit II (EC 1.10.3.-)

+

complex_subunit_optional_ftr02136: 0

+

complex_subunit_triggering_ftr02136: 1

+

complex_subunit_features_ftr02136: GW101-3H11_contig_1_1762

+

complex_subunit_note_ftr02133: Cytochrome O ubiquinol oxidase subunit IV (EC 1.10.3.-)

+

complex_subunit_optional_ftr02133: 0

+

complex_subunit_triggering_ftr02133: 1

+

complex_subunit_features_ftr02133: GW101-3H11_contig_1_1759

+

complex_subunit_note_ftr02134: Cytochrome O ubiquinol oxidase subunit III (EC 1.10.3.-)

+

complex_subunit_optional_ftr02134: 0

+

complex_subunit_triggering_ftr02134: 1

+

complex_subunit_features_ftr02134: GW101-3H11_contig_1_1760

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00411: Cytochrome c oxidase (cbb3-type) subunit CcoN (EC 1.9.3.1)

+

complex_subunit_optional_tftr00411: 0

+

complex_subunit_triggering_tftr00411: 1

+

complex_subunit_features_tftr00411: GW101-3H11_contig_1_3288

+

complex_subunit_note_ftr01177: Type cbb3 cytochrome oxidase biogenesis protein CcoG, involved in Cu oxidation

+

complex_subunit_optional_ftr01177: 0

+

complex_subunit_triggering_ftr01177: 1

+

complex_subunit_features_ftr01177: GW101-3H11_contig_1_3284

+

complex_subunit_note_tftr00664: Cytochrome c oxidase (cbb3-type) subunit CcoQ (EC 1.9.3.1)

+

complex_subunit_optional_tftr00664: 0

+

complex_subunit_triggering_tftr00664: 1

+

complex_subunit_features_tftr00664: GW101-3H11_contig_1_3286

+

complex_subunit_note_ftr01180: Type cbb3 cytochrome oxidase biogenesis protein CcoI

+

complex_subunit_optional_ftr01180: 0

+

complex_subunit_triggering_ftr01180: 1

+

complex_subunit_features_ftr01180: GW101-3H11_contig_1_3290

+

complex_subunit_note_tftr00031: Cytochrome c oxidase (cbb3-type) subunit CcoO (EC 1.9.3.1)

+

complex_subunit_optional_tftr00031: 0

+

complex_subunit_triggering_tftr00031: 1

+

complex_subunit_features_tftr00031: GW101-3H11_contig_1_3287

+

complex_subunit_note_ftr01181: Type cbb3 cytochrome oxidase biogenesis protein CcoS, involved in heme b insertion

+

complex_subunit_optional_ftr01181: 0

+

complex_subunit_triggering_ftr01181: 1

+

complex_subunit_features_ftr01181: GW101-3H11_contig_1_3289

+

complex_subunit_note_tftr00343: Cytochrome c oxidase (cbb3-type) subunit CcoP (EC 1.9.3.1)

+

complex_subunit_optional_tftr00343: 0

+

complex_subunit_triggering_tftr00343: 1

+

complex_subunit_features_tftr00343: GW101-3H11_contig_1_3285

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00367: Tungstate ABC transporter, ATP-binding protein

+

complex_subunit_optional_tftr00367: 0

+

complex_subunit_triggering_tftr00367: 1

+

complex_subunit_features_tftr00367: GW101-3H11_contig_1_1568

+

complex_subunit_note_tftr00594: Tungstate ABC transporter, substrate-binding protein

+

complex_subunit_optional_tftr00594: 0

+

complex_subunit_triggering_tftr00594: 1

+

complex_subunit_features_tftr00594: GW101-3H11_contig_1_1569

+

complex_subunit_note_tftr00785: Tungstate ABC transporter, permease protein

+

complex_subunit_optional_tftr00785: 0

+

complex_subunit_triggering_tftr00785: 1

+

complex_subunit_features_tftr00785: GW101-3H11_contig_1_1567

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00282: Glycerol ABC transporter, permease protein GlpQ

+

complex_subunit_optional_tftr00282: 0

+

complex_subunit_triggering_tftr00282: 1

+

complex_subunit_features_tftr00282: GW101-3H11_contig_1_4505

+

complex_subunit_note_tftr00350: Glycerol ABC transporter, substrate-binding protein GlpV

+

complex_subunit_optional_tftr00350: 0

+

complex_subunit_triggering_tftr00350: 1

+

complex_subunit_features_tftr00350: GW101-3H11_contig_1_4503

+

complex_subunit_note_tftr00814: Glycerol ABC transporter, permease protein GlpP

+

complex_subunit_optional_tftr00814: 0

+

complex_subunit_triggering_tftr00814: 1

+

complex_subunit_features_tftr00814: GW101-3H11_contig_1_4506

+

complex_subunit_note_tftr00063: Glycerol ABC transporter, ATP-binding protein GlpT

+

complex_subunit_optional_tftr00063: 0

+

complex_subunit_triggering_tftr00063: 1

+

complex_subunit_features_tftr00063: GW101-3H11_contig_1_4507

+

complex_subunit_note_tftr01058: Glycerol ABC transporter, ATP-binding protein GlpS

+

complex_subunit_optional_tftr01058: 0

+

complex_subunit_triggering_tftr01058: 1

+

complex_subunit_features_tftr01058: GW101-3H11_contig_1_4508

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00529: Ferrous iron transporter FeoB

+

complex_subunit_optional_tftr00529: 0

+

complex_subunit_triggering_tftr00529: 1

+

complex_subunit_features_tftr00529: GW101-3H11_contig_1_1427

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02237: NAD(P) transhydrogenase subunit beta (EC 1.6.1.2)

+

complex_subunit_optional_ftr02237: 0

+

complex_subunit_triggering_ftr02237: 1

+

complex_subunit_features_ftr02237: GW101-3H11_contig_1_4643

+

complex_subunit_note_tftr00110: NAD(P) transhydrogenase C-domain of subunit alpha (EC 1.6.1.2)

+

complex_subunit_optional_tftr00110: 0

+

complex_subunit_triggering_tftr00110: 1

+

complex_subunit_features_tftr00110: GW101-3H11_contig_1_4644

+

complex_subunit_note_tftr00308: NAD(P) transhydrogenase N-domain of subunit alpha (EC 1.6.1.2)

+

complex_subunit_optional_tftr00308: 0

+

complex_subunit_triggering_tftr00308: 1

+

complex_subunit_features_tftr00308: GW101-3H11_contig_1_4644

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02160: Potassium-transporting ATPase B chain (EC 3.6.3.12) (TC 3.A.3.7.1)

+

complex_subunit_optional_ftr02160: 0

+

complex_subunit_triggering_ftr02160: 1

+

complex_subunit_features_ftr02160: GW101-3H11_contig_1_2391

+

complex_subunit_note_ftr02159: Potassium-transporting ATPase C chain (EC 3.6.3.12) (TC 3.A.3.7.1)

+

complex_subunit_optional_ftr02159: 0

+

complex_subunit_triggering_ftr02159: 1

+

complex_subunit_features_ftr02159: GW101-3H11_contig_1_2392

+

complex_subunit_note_ftr02161: Potassium-transporting ATPase A chain (EC 3.6.3.12) (TC 3.A.3.7.1)

+

complex_subunit_optional_ftr02161: 0

+

complex_subunit_triggering_ftr02161: 1

+

complex_subunit_features_ftr02161: GW101-3H11_contig_1_2390

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02381: Outer membrane vitamin B12 receptor BtuB

+

complex_subunit_optional_ftr02381: 0

+

complex_subunit_triggering_ftr02381: 1

+

complex_subunit_features_ftr02381: GW101-3H11_contig_1_3272;GW101-3H11_contig_1_4112

+

complex_subunit_note_tftr00613: Vitamin B12 ABC transporter, substrate-binding protein BtuF

+

complex_subunit_optional_tftr00613: 0

+

complex_subunit_triggering_tftr00613: 1

+

complex_subunit_features_tftr00613: GW101-3H11_contig_1_3269

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00997: ATP synthase F0 sector subunit a (EC 3.6.3.14)

+

complex_subunit_optional_tftr00997: 0

+

complex_subunit_triggering_tftr00997: 1

+

complex_subunit_features_tftr00997: GW101-3H11_contig_1_458

+

complex_subunit_note_ftr02359: ATP synthase beta chain (EC 3.6.3.14)

+

complex_subunit_optional_ftr02359: 0

+

complex_subunit_triggering_ftr02359: 1

+

complex_subunit_features_ftr02359: GW101-3H11_contig_1_464

+

complex_subunit_note_tftr00035: ATP synthase F0 sector subunit c (EC 3.6.3.14)

+

complex_subunit_optional_tftr00035: 0

+

complex_subunit_triggering_tftr00035: 1

+

complex_subunit_features_tftr00035: GW101-3H11_contig_1_459

+

complex_subunit_note_ftr02362: ATP synthase delta chain (EC 3.6.3.14)

+

complex_subunit_optional_ftr02362: 0

+

complex_subunit_triggering_ftr02362: 1

+

complex_subunit_features_ftr02362: GW101-3H11_contig_1_461

+

complex_subunit_note_ftr02361: ATP synthase alpha chain (EC 3.6.3.14)

+

complex_subunit_optional_ftr02361: 0

+

complex_subunit_triggering_ftr02361: 1

+

complex_subunit_features_ftr02361: GW101-3H11_contig_1_462

+

complex_subunit_note_tftr00537: ATP synthase F0 sector subunit b' (EC 3.6.3.14)

+

complex_subunit_optional_tftr00537: 0

+

complex_subunit_triggering_tftr00537: 1

+

complex_subunit_features_tftr00537: GW101-3H11_contig_1_460

+

complex_subunit_note_ftr02366: ATP synthase protein I

+

complex_subunit_optional_ftr02366: 0

+

complex_subunit_triggering_ftr02366: 1

+

complex_subunit_features_ftr02366: GW101-3H11_contig_1_457

+

complex_subunit_note_ftr02358: ATP synthase epsilon chain (EC 3.6.3.14)

+

complex_subunit_optional_ftr02358: 0

+

complex_subunit_triggering_ftr02358: 1

+

complex_subunit_features_ftr02358: GW101-3H11_contig_1_465

+

complex_subunit_note_ftr02360: ATP synthase gamma chain (EC 3.6.3.14)

+

complex_subunit_optional_ftr02360: 0

+

complex_subunit_triggering_ftr02360: 1

+

complex_subunit_features_ftr02360: GW101-3H11_contig_1_463

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02213: Respiratory nitrate reductase beta chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02213: 0

+

complex_subunit_triggering_ftr02213: 1

+

complex_subunit_features_ftr02213: GW101-3H11_contig_1_521

+

complex_subunit_note_ftr02215: Respiratory nitrate reductase gamma chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02215: 0

+

complex_subunit_triggering_ftr02215: 1

+

complex_subunit_features_ftr02215: GW101-3H11_contig_1_523

+

complex_subunit_note_ftr02214: Respiratory nitrate reductase delta chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02214: 0

+

complex_subunit_triggering_ftr02214: 1

+

complex_subunit_features_ftr02214: GW101-3H11_contig_1_522

+

complex_subunit_note_ftr10634: Assimilatory nitrate reductase large subunit (EC:1.7.99.4)

+

complex_subunit_optional_ftr10634: 0

+

complex_subunit_triggering_ftr10634: 1

+

complex_subunit_features_ftr10634: GW101-3H11_contig_1_1670

+

complex_subunit_note_ftr02212: Respiratory nitrate reductase alpha chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02212: 0

+

complex_subunit_triggering_ftr02212: 1

+

complex_subunit_features_ftr02212: GW101-3H11_contig_1_520

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02568: Ubiquinol-cytochrome C reductase iron-sulfur subunit (EC 1.10.2.2)

+

complex_subunit_optional_ftr02568: 0

+

complex_subunit_triggering_ftr02568: 1

+

complex_subunit_features_ftr02568: GW101-3H11_contig_1_1092

+

complex_subunit_note_ftr02567: Ubiquinol--cytochrome c reductase, cytochrome B subunit (EC 1.10.2.2)

+

complex_subunit_optional_ftr02567: 0

+

complex_subunit_triggering_ftr02567: 1

+

complex_subunit_features_ftr02567: GW101-3H11_contig_1_1093

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10634: Assimilatory nitrate reductase large subunit (EC:1.7.99.4)

+

complex_subunit_optional_ftr10634: 0

+

complex_subunit_triggering_ftr10634: 1

+

complex_subunit_features_ftr10634: GW101-3H11_contig_1_1670

+

complex_subunit_note_ftr02213: Respiratory nitrate reductase beta chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02213: 0

+

complex_subunit_triggering_ftr02213: 1

+

complex_subunit_features_ftr02213: GW101-3H11_contig_1_521

+

complex_subunit_note_ftr02215: Respiratory nitrate reductase gamma chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02215: 0

+

complex_subunit_triggering_ftr02215: 1

+

complex_subunit_features_ftr02215: GW101-3H11_contig_1_523

+

complex_subunit_note_ftr02214: Respiratory nitrate reductase delta chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02214: 0

+

complex_subunit_triggering_ftr02214: 1

+

complex_subunit_features_ftr02214: GW101-3H11_contig_1_522

+

complex_subunit_note_ftr02212: Respiratory nitrate reductase alpha chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02212: 0

+

complex_subunit_triggering_ftr02212: 1

+

complex_subunit_features_ftr02212: GW101-3H11_contig_1_520

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02409: Cytochrome c oxidase polypeptide III (EC 1.9.3.1)

+

complex_subunit_optional_ftr02409: 0

+

complex_subunit_triggering_ftr02409: 1

+

complex_subunit_features_ftr02409: GW101-3H11_contig_1_4035

+

complex_subunit_note_ftr07519: Cytochrome c oxidase polypeptide II (EC 1.9.3.1)

+

complex_subunit_optional_ftr07519: 0

+

complex_subunit_triggering_ftr07519: 1

+

complex_subunit_features_ftr07519: GW101-3H11_contig_1_2550;GW101-3H11_contig_1_4040

+

complex_subunit_note_ftr02408: Cytochrome c oxidase polypeptide I (EC 1.9.3.1)

+

complex_subunit_optional_ftr02408: 0

+

complex_subunit_triggering_ftr02408: 1

+

complex_subunit_features_ftr02408: GW101-3H11_contig_1_4039

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01047: Molybdopterin synthase catalytic subunit MoaE (EC 2.8.1.12)

+

complex_subunit_optional_tftr01047: 0

+

complex_subunit_triggering_tftr01047: 1

+

complex_subunit_features_tftr01047: GW101-3H11_contig_1_3639

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01143: Molybdopterin-synthase adenylyltransferase (EC 2.7.7.80)

+

complex_subunit_optional_tftr01143: 0

+

complex_subunit_triggering_tftr01143: 1

+

complex_subunit_features_tftr01143: GW101-3H11_contig_1_4002

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00091: Molybdopterin molybdenumtransferase (EC 2.10.1.1)

+

complex_subunit_optional_tftr00091: 0

+

complex_subunit_triggering_tftr00091: 1

+

complex_subunit_features_tftr00091: GW101-3H11_contig_1_3060;GW101-3H11_contig_1_3667

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00191: Molybdenum cofactor guanylyltransferase (EC 2.7.7.77)

+

complex_subunit_optional_tftr00191: 0

+

complex_subunit_triggering_tftr00191: 1

+

complex_subunit_features_tftr00191: GW101-3H11_contig_1_3058

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00221: Flavin prenyltransferase UbiX

+

complex_subunit_optional_tftr00221: 0

+

complex_subunit_triggering_tftr00221: 1

+

complex_subunit_features_tftr00221: GW101-3H11_contig_1_4919

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr30983: molybdopterin adenylyltransferase (EC 2.7.7.75)

+

complex_subunit_optional_ftr30983: 0

+

complex_subunit_triggering_ftr30983: 1

+

complex_subunit_features_ftr30983: GW101-3H11_contig_1_1646

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00946: 2-oxo-4-hydroxy-4-carboxy-5-ureidoimidazoline (OHCU) decarboxylase (EC 4.1.1.97)

+

complex_subunit_optional_tftr00946: 0

+

complex_subunit_triggering_tftr00946: 1

+

complex_subunit_features_tftr00946: GW101-3H11_contig_1_1355

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00632: NADPH-dependent 7-cyano-7-deazaguanine reductase (EC 1.7.1.13)

+

complex_subunit_optional_tftr00632: 0

+

complex_subunit_triggering_tftr00632: 1

+

complex_subunit_features_tftr00632: GW101-3H11_contig_1_3758

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00012: Proline dehydrogenase (EC 1.5.5.2)

+

complex_subunit_optional_tftr00012: 0

+

complex_subunit_triggering_tftr00012: 1

+

complex_subunit_features_tftr00012: GW101-3H11_contig_1_1935

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00806: (E)-4-hydroxy-3-methylbut-2-enyl-diphosphate synthase (flavodoxin) (EC 1.17.7.3)

+

complex_subunit_optional_tftr00806: 0

+

complex_subunit_triggering_tftr00806: 1

+

complex_subunit_features_tftr00806: GW101-3H11_contig_1_1816

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr31344: DNA ligase (ATP) (EC 6.5.1.1)

+

complex_subunit_optional_ftr31344: 0

+

complex_subunit_triggering_ftr31344: 1

+

complex_subunit_features_ftr31344: GW101-3H11_contig_1_1874

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09359: Cyanophycin synthase (EC 6.3.2.29)(EC 6.3.2.30)

+

complex_subunit_optional_ftr09359: 0

+

complex_subunit_triggering_ftr09359: 1

+

complex_subunit_features_ftr09359: GW101-3H11_contig_1_4203;GW101-3H11_contig_1_4204

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00694: L-fucose mutarotase (EC 5.1.3.29)

+

complex_subunit_optional_tftr00694: 0

+

complex_subunit_triggering_tftr00694: 1

+

complex_subunit_features_tftr00694: GW101-3H11_contig_1_4270

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00067: Alpha-D-ribose 1-methylphosphonate 5-triphosphate diphosphatase (EC 3.6.1.63)

+

complex_subunit_optional_tftr00067: 0

+

complex_subunit_triggering_tftr00067: 1

+

complex_subunit_features_tftr00067: GW101-3H11_contig_1_576

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00924: Alpha-D-ribose 1-methylphosphonate 5-phosphate C-P lyase (EC 4.7.1.1)

+

complex_subunit_optional_tftr00924: 0

+

complex_subunit_triggering_tftr00924: 1

+

complex_subunit_features_tftr00924: GW101-3H11_contig_1_572

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00972: Octanoate-[acyl-carrier-protein]-protein-N-octanoyltransferase (EC 2.3.1.181)

+

complex_subunit_optional_tftr00972: 0

+

complex_subunit_triggering_tftr00972: 1

+

complex_subunit_features_tftr00972: GW101-3H11_contig_1_455

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr33496: 7-cyano-7-deazaguanine synthase (EC 6.3.4.20)

+

complex_subunit_optional_ftr33496: 0

+

complex_subunit_triggering_ftr33496: 1

+

complex_subunit_features_ftr33496: GW101-3H11_contig_1_212

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00661: 7-carboxy-7-deazaguanine synthase (EC 4.3.99.3)

+

complex_subunit_optional_tftr00661: 0

+

complex_subunit_triggering_tftr00661: 1

+

complex_subunit_features_tftr00661: GW101-3H11_contig_1_3973

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00546: 6-carboxy-5,6,7,8-tetrahydropterin synthase (EC 4.1.2.50)

+

complex_subunit_optional_tftr00546: 0

+

complex_subunit_triggering_tftr00546: 1

+

complex_subunit_features_tftr00546: GW101-3H11_contig_1_3974

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00426: Threonine/homoserine exporter RhtA

+

complex_subunit_optional_tftr00426: 0

+

complex_subunit_triggering_tftr00426: 1

+

complex_subunit_features_tftr00426: GW101-3H11_contig_1_4088

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01390: Acetate permease ActP (cation/acetate symporter)

+

complex_subunit_optional_ftr01390: 0

+

complex_subunit_triggering_ftr01390: 1

+

complex_subunit_features_ftr01390: GW101-3H11_contig_1_3470

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02996: Enoyl-[acyl-carrier-protein] reductase [NADH] (EC 1.3.1.9)

+

complex_subunit_optional_ftr02996: 0

+

complex_subunit_triggering_ftr02996: 1

+

complex_subunit_features_ftr02996: GW101-3H11_contig_1_1875

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00695: Dihydrodipicolinate synthase family protein PP2639

+

complex_subunit_optional_tftr00695: 0

+

complex_subunit_triggering_tftr00695: 1

+

complex_subunit_features_tftr00695: GW101-3H11_contig_1_3665

+

complex_subunit_note_ftr50051: 4-hydroxy-tetrahydrodipicolinate synthase (EC 4.3.3.7)

+

complex_subunit_optional_ftr50051: 0

+

complex_subunit_triggering_ftr50051: 1

+

complex_subunit_features_ftr50051: GW101-3H11_contig_1_3541

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02996: Enoyl-[acyl-carrier-protein] reductase [NADH] (EC 1.3.1.9)

+

complex_subunit_optional_ftr02996: 0

+

complex_subunit_triggering_ftr02996: 1

+

complex_subunit_features_ftr02996: GW101-3H11_contig_1_1875

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00073: Phosphomethylpyrimidine synthase ThiC (EC 4.1.99.17)

+

complex_subunit_optional_tftr00073: 0

+

complex_subunit_triggering_tftr00073: 1

+

complex_subunit_features_tftr00073: GW101-3H11_contig_1_943

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01620: Biotin synthase (EC 2.8.1.6)

+

complex_subunit_optional_ftr01620: 0

+

complex_subunit_triggering_ftr01620: 1

+

complex_subunit_features_ftr01620: GW101-3H11_contig_1_2528

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03525: 3-oxoacyl-[acyl-carrier-protein] synthase, KASI (EC 2.3.1.41)

+

complex_subunit_optional_ftr03525: 0

+

complex_subunit_triggering_ftr03525: 1

+

complex_subunit_features_ftr03525: GW101-3H11_contig_1_777

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01135: Heme O synthase, protoheme IX farnesyltransferase, COX10-CtaB

+

complex_subunit_optional_tftr01135: 0

+

complex_subunit_triggering_tftr01135: 1

+

complex_subunit_features_tftr01135: GW101-3H11_contig_1_4030

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01843: 2-dehydro-3-deoxyphosphogluconate aldolase (EC 4.1.2.14)

+

complex_subunit_optional_ftr01843: 0

+

complex_subunit_triggering_ftr01843: 1

+

complex_subunit_features_ftr01843: GW101-3H11_contig_1_999

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00170: Squalene/phytoene desaturase HopC

+

complex_subunit_optional_tftr00170: 0

+

complex_subunit_triggering_tftr00170: 1

+

complex_subunit_features_tftr00170: GW101-3H11_contig_1_3329

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01172: Flavodoxin--NADP(+) reductase (EC 1.19.1.1)

+

complex_subunit_optional_tftr01172: 0

+

complex_subunit_triggering_tftr01172: 1

+

complex_subunit_features_tftr01172: GW101-3H11_contig_1_273

+

complex_subunit_note_ftr01642: Flavodoxin reductases (ferredoxin-NADPH reductases) family 1

+

complex_subunit_optional_ftr01642: 0

+

complex_subunit_triggering_ftr01642: 1

+

complex_subunit_features_ftr01642: GW101-3H11_contig_1_1320;GW101-3H11_contig_1_4145;GW101-3H11_contig_1_4683

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00122: Metal transporter, ZIP family

+

complex_subunit_optional_tftr00122: 0

+

complex_subunit_triggering_tftr00122: 1

+

complex_subunit_features_tftr00122: GW101-3H11_contig_1_2354

+

complex_subunit_note_ftr04659: Zinc transporter, ZIP family

+

complex_subunit_optional_ftr04659: 0

+

complex_subunit_triggering_ftr04659: 1

+

complex_subunit_features_ftr04659: GW101-3H11_contig_1_3801

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00948: Cysteine desulfurase (EC 2.8.1.7)

+

complex_subunit_optional_ftr00948: 0

+

complex_subunit_triggering_ftr00948: 1

+

complex_subunit_features_ftr00948: GW101-3H11_contig_1_2555;GW101-3H11_contig_1_4911

+

complex_subunit_note_tftr00488: Cysteine desulfurase (EC 2.8.1.7) => IscS

+

complex_subunit_optional_tftr00488: 0

+

complex_subunit_triggering_tftr00488: 1

+

complex_subunit_features_tftr00488: GW101-3H11_contig_1_2666

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05743: Nitrous-oxide reductase (EC 1.7.99.6)

+

complex_subunit_optional_ftr05743: 0

+

complex_subunit_triggering_ftr05743: 1

+

complex_subunit_features_ftr05743: GW101-3H11_contig_1_1394

+ + + + + + +

complex_source:

+

complex_subunit_note_ftr11504: Protein containing plastocyanin/azurin family domain

+

complex_subunit_optional_ftr11504: 0

+

complex_subunit_triggering_ftr11504: 1

+

complex_subunit_features_ftr11504: GW101-3H11_contig_1_3782

+ + + + + + diff --git a/Metabolic_modeling/data/model_rhoda_gf2.json b/Metabolic_modeling/data/model_rhoda_gf2.json index b71db41..1ccbd80 100644 --- a/Metabolic_modeling/data/model_rhoda_gf2.json +++ b/Metabolic_modeling/data/model_rhoda_gf2.json @@ -1371,46 +1371,6 @@ } }, { -"id":"cpd00982_c0", -"name":"FADH2 [c0]", -"compartment":"c0", -"charge":-2, -"formula":"C27H33N9O15P2", -"notes":{ -"modelseed_template_id":"cpd00982_c" -} -}, -{ -"id":"cpd15560_c0", -"name":"Ubiquinone-8 [c0]", -"compartment":"c0", -"charge":0, -"formula":"C49H74O4", -"notes":{ -"modelseed_template_id":"cpd15560_c" -} -}, -{ -"id":"cpd00015_c0", -"name":"FAD [c0]", -"compartment":"c0", -"charge":-3, -"formula":"C27H30N9O15P2", -"notes":{ -"modelseed_template_id":"cpd00015_c" -} -}, -{ -"id":"cpd15561_c0", -"name":"Ubiquinol-8 [c0]", -"compartment":"c0", -"charge":0, -"formula":"C49H76O4", -"notes":{ -"modelseed_template_id":"cpd15561_c" -} -}, -{ "id":"cpd11439_c0", "name":"fa4coa [c0]", "compartment":"c0", @@ -2641,6 +2601,16 @@ } }, { +"id":"cpd00015_c0", +"name":"FAD [c0]", +"compartment":"c0", +"charge":-3, +"formula":"C27H30N9O15P2", +"notes":{ +"modelseed_template_id":"cpd00015_c" +} +}, +{ "id":"cpd01335_c0", "name":"Octanoyl-CoA [c0]", "compartment":"c0", @@ -2651,6 +2621,16 @@ } }, { +"id":"cpd00982_c0", +"name":"FADH2 [c0]", +"compartment":"c0", +"charge":-2, +"formula":"C27H33N9O15P2", +"notes":{ +"modelseed_template_id":"cpd00982_c" +} +}, +{ "id":"cpd03130_c0", "name":"(2E)-Octenoyl-CoA [c0]", "compartment":"c0", @@ -4431,6 +4411,16 @@ } }, { +"id":"cpd15560_c0", +"name":"Ubiquinone-8 [c0]", +"compartment":"c0", +"charge":0, +"formula":"C49H74O4", +"notes":{ +"modelseed_template_id":"cpd15560_c" +} +}, +{ "id":"cpd00292_c0", "name":"HMG-CoA [c0]", "compartment":"c0", @@ -5451,6 +5441,16 @@ } }, { +"id":"cpd15561_c0", +"name":"Ubiquinol-8 [c0]", +"compartment":"c0", +"charge":0, +"formula":"C49H76O4", +"notes":{ +"modelseed_template_id":"cpd15561_c" +} +}, +{ "id":"cpd00076_e0", "name":"Sucrose [e0]", "compartment":"e0", @@ -10011,16 +10011,6 @@ } }, { -"id":"cpd00528_e0", -"name":"N2 [e0]", -"compartment":"e0", -"charge":0, -"formula":"N2", -"notes":{ -"modelseed_template_id":"cpd00528_e" -} -}, -{ "id":"cpd15695_c0", "name":"Diisoheptadecanoylphosphatidylethanolamine [c0]", "compartment":"c0", @@ -10791,26 +10781,6 @@ } }, { -"id":"cpd00109_c0", -"name":"Cytochrome c3+ [c0]", -"compartment":"c0", -"charge":5, -"formula":"C42H52FeN8O6S2", -"notes":{ -"modelseed_template_id":"cpd00109_c" -} -}, -{ -"id":"cpd00110_c0", -"name":"Cytochrome c2+ [c0]", -"compartment":"c0", -"charge":4, -"formula":"C42H52FeN8O6S2", -"notes":{ -"modelseed_template_id":"cpd00110_c" -} -}, -{ "id":"cpd18076_c0", "name":"Cytochrome-bd-red [c0]", "compartment":"c0", @@ -10911,6 +10881,26 @@ } }, { +"id":"cpd00109_c0", +"name":"Cytochrome c3+ [c0]", +"compartment":"c0", +"charge":5, +"formula":"C42H52FeN8O6S2", +"notes":{ +"modelseed_template_id":"cpd00109_c" +} +}, +{ +"id":"cpd00110_c0", +"name":"Cytochrome c2+ [c0]", +"compartment":"c0", +"charge":4, +"formula":"C42H52FeN8O6S2", +"notes":{ +"modelseed_template_id":"cpd00110_c" +} +}, +{ "id":"cpd28260_c0", "name":"Thiocarboxylated-MPT-synthases [c0]", "compartment":"c0", @@ -11461,6 +11451,16 @@ } }, { +"id":"cpd00528_e0", +"name":"N2 [e0]", +"compartment":"e0", +"charge":0, +"formula":"N2", +"notes":{ +"modelseed_template_id":"cpd00528_e" +} +}, +{ "id":"cpd00020_e0", "name":"Pyruvate [e0]", "compartment":"e0", @@ -12168,7 +12168,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2679 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_19 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2084", +"gene_reaction_rule":"FW510-R12_contig_1_2084 or FW510-R12_contig_1_19 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2679", "notes":{ "modelseed_complex":"cpx00498" }, @@ -12231,7 +12231,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2867 or FW510-R12_contig_1_2866", +"gene_reaction_rule":"FW510-R12_contig_1_2866 or FW510-R12_contig_1_2867", "notes":{ "modelseed_complex":"tcpx00608;tcpx00611" }, @@ -12270,7 +12270,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3042 or FW510-R12_contig_1_3047", +"gene_reaction_rule":"FW510-R12_contig_1_3047 or FW510-R12_contig_1_3042", "notes":{ "modelseed_complex":"cpx01675" }, @@ -12309,7 +12309,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2209 or (FW510-R12_contig_1_2078 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_2682)", +"gene_reaction_rule":"FW510-R12_contig_1_2209 or (FW510-R12_contig_1_2682 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110)", "notes":{ "modelseed_complex":"cpx01599;tcpx00306" }, @@ -12369,7 +12369,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3042 or FW510-R12_contig_1_3047", +"gene_reaction_rule":"FW510-R12_contig_1_3047 or FW510-R12_contig_1_3042", "notes":{ "modelseed_complex":"cpx01675" }, @@ -12537,7 +12537,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -12772,7 +12772,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_3551 or FW510-R12_contig_1_3461 or FW510-R12_contig_1_1398 or FW510-R12_contig_1_1582 or FW510-R12_contig_1_3164 or FW510-R12_contig_1_3543 or FW510-R12_contig_1_1086 or FW510-R12_contig_1_1514 or FW510-R12_contig_1_1436 or FW510-R12_contig_1_1576 or FW510-R12_contig_1_3058) or FW510-R12_contig_1_695", +"gene_reaction_rule":"FW510-R12_contig_1_695 or (FW510-R12_contig_1_3058 or FW510-R12_contig_1_1576 or FW510-R12_contig_1_3461 or FW510-R12_contig_1_1514 or FW510-R12_contig_1_3164 or FW510-R12_contig_1_1582 or FW510-R12_contig_1_3543 or FW510-R12_contig_1_3551 or FW510-R12_contig_1_1398 or FW510-R12_contig_1_1086 or FW510-R12_contig_1_1436)", "notes":{ "modelseed_complex":"cpx01409;tcpx01368" }, @@ -12792,7 +12792,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2670 or FW510-R12_contig_1_2403", +"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2403 or FW510-R12_contig_1_2670", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -13072,27 +13072,6 @@ } }, { -"id":"rxn10126_c0", -"name":"succinate dehyrdogenase [c0]", -"metabolites":{ -"cpd00015_c0":1, -"cpd00067_c0":1, -"cpd00982_c0":-1, -"cpd15560_c0":-1, -"cpd15561_c0":1 -}, -"lower_bound":0, -"upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_3392 or FW510-R12_contig_1_2475) and (FW510-R12_contig_1_2476 or FW510-R12_contig_1_3393)", -"notes":{ -"modelseed_complex":"tcpx00088" -}, -"annotation":{ -"sbo":"SBO:0000176", -"seed.reaction":"rxn10126" -} -}, -{ "id":"rxn10209_c0", "name":"anteisopentadecanoyl-glycerol-3-phosphate O-acyltransferase [c0]", "metabolites":{ @@ -13183,7 +13162,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -13503,7 +13482,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"FW510-R12_contig_1_1986 or FW510-R12_contig_1_3069", +"gene_reaction_rule":"FW510-R12_contig_1_3069 or FW510-R12_contig_1_1986", "notes":{ "modelseed_complex":"cpx01032" }, @@ -13543,7 +13522,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_765 or FW510-R12_contig_1_371", +"gene_reaction_rule":"FW510-R12_contig_1_371 or FW510-R12_contig_1_765", "notes":{ "modelseed_complex":"cpx00853" }, @@ -13833,7 +13812,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -13959,7 +13938,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1754 or FW510-R12_contig_1_2887 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", +"gene_reaction_rule":"FW510-R12_contig_1_2887 or FW510-R12_contig_1_1754 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", "notes":{ "modelseed_complex":"cpx00289;tcpx00137;tcpx00139;tcpx00150" }, @@ -13998,7 +13977,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"(FW510-R12_contig_1_2626 or FW510-R12_contig_1_2077 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_2111 or FW510-R12_contig_1_3540) or FW510-R12_contig_1_2210", +"gene_reaction_rule":"FW510-R12_contig_1_2210 or (FW510-R12_contig_1_2111 or FW510-R12_contig_1_2626 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_3540 or FW510-R12_contig_1_2077)", "notes":{ "modelseed_complex":"cpx00454;tcpx00072" }, @@ -14017,7 +13996,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -14064,7 +14043,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2415 or FW510-R12_contig_1_941 or FW510-R12_contig_1_1815", +"gene_reaction_rule":"FW510-R12_contig_1_2415 or FW510-R12_contig_1_1815 or FW510-R12_contig_1_941", "notes":{ "modelseed_complex":"cpx00259" }, @@ -14089,7 +14068,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3023 or FW510-R12_contig_1_1937", +"gene_reaction_rule":"FW510-R12_contig_1_1937 or FW510-R12_contig_1_3023", "notes":{ "modelseed_complex":"cpx01543;tcpx00197" }, @@ -14173,7 +14152,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1753 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1377) or FW510-R12_contig_1_382", +"gene_reaction_rule":"FW510-R12_contig_1_382 or (FW510-R12_contig_1_1377 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1753)", "notes":{ "modelseed_complex":"cpx52483;tcpx00355" }, @@ -14305,7 +14284,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2415 or FW510-R12_contig_1_941 or FW510-R12_contig_1_1815", +"gene_reaction_rule":"FW510-R12_contig_1_2415 or FW510-R12_contig_1_1815 or FW510-R12_contig_1_941", "notes":{ "modelseed_complex":"cpx00259" }, @@ -14346,7 +14325,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2670 or FW510-R12_contig_1_2403", +"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2403 or FW510-R12_contig_1_2670", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -14429,7 +14408,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_923 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2562 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2102 or FW510-R12_contig_1_2087) or (FW510-R12_contig_1_2116 or FW510-R12_contig_1_2076)", +"gene_reaction_rule":"(FW510-R12_contig_1_2102 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2087 or FW510-R12_contig_1_923 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2562) or (FW510-R12_contig_1_2116 or FW510-R12_contig_1_2076)", "notes":{ "modelseed_complex":"tcpx00054;tcpx00282" }, @@ -14528,7 +14507,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -14549,7 +14528,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3159 or FW510-R12_contig_1_3160", +"gene_reaction_rule":"FW510-R12_contig_1_3160 or FW510-R12_contig_1_3159", "notes":{ "modelseed_complex":"cpx00019" }, @@ -14589,7 +14568,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_2_84 or FW510-R12_contig_1_1597 or FW510-R12_contig_1_2147) and (FW510-R12_contig_2_83 or FW510-R12_contig_1_2148) and FW510-R12_contig_1_1595", +"gene_reaction_rule":"(FW510-R12_contig_2_84 or FW510-R12_contig_1_1597 or FW510-R12_contig_1_2147) and (FW510-R12_contig_1_2148 or FW510-R12_contig_2_83) and FW510-R12_contig_1_1595", "notes":{ "modelseed_complex":"tcpx01185" }, @@ -14688,7 +14667,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1754 or FW510-R12_contig_1_2887 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", +"gene_reaction_rule":"FW510-R12_contig_1_2887 or FW510-R12_contig_1_1754 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", "notes":{ "modelseed_complex":"cpx00289;tcpx00137;tcpx00139;tcpx00150" }, @@ -14858,7 +14837,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_3224 or FW510-R12_contig_1_1723) or (FW510-R12_contig_1_1724 or FW510-R12_contig_1_3225)", +"gene_reaction_rule":"(FW510-R12_contig_1_3224 or FW510-R12_contig_1_1723) or (FW510-R12_contig_1_3225 or FW510-R12_contig_1_1724)", "notes":{ "modelseed_complex":"tcpx00372;tcpx00373" }, @@ -14937,7 +14916,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -14978,7 +14957,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3159 or FW510-R12_contig_1_3160", +"gene_reaction_rule":"FW510-R12_contig_1_3160 or FW510-R12_contig_1_3159", "notes":{ "modelseed_complex":"cpx00019" }, @@ -15000,7 +14979,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_39 or FW510-R12_contig_1_3375", +"gene_reaction_rule":"FW510-R12_contig_1_3375 or FW510-R12_contig_1_39", "notes":{ "modelseed_complex":"cpx00837;cpx01143" }, @@ -15140,7 +15119,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2209 or (FW510-R12_contig_1_2078 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_2682) or (FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2638)", +"gene_reaction_rule":"FW510-R12_contig_1_2209 or (FW510-R12_contig_1_2682 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110) or (FW510-R12_contig_1_2638 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366)", "notes":{ "modelseed_complex":"cpx00206;cpx01599;tcpx00306" }, @@ -15284,7 +15263,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3182 or FW510-R12_contig_1_1022", +"gene_reaction_rule":"FW510-R12_contig_1_1022 or FW510-R12_contig_1_3182", "notes":{ "modelseed_complex":"cpx00910;cpx52754" }, @@ -15469,7 +15448,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_923 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2562 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2102 or FW510-R12_contig_1_2087) or (FW510-R12_contig_1_2116 or FW510-R12_contig_1_2076)", +"gene_reaction_rule":"(FW510-R12_contig_1_2102 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2087 or FW510-R12_contig_1_923 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2562) or (FW510-R12_contig_1_2116 or FW510-R12_contig_1_2076)", "notes":{ "modelseed_complex":"tcpx00054;tcpx00282" }, @@ -15489,7 +15468,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2670 or FW510-R12_contig_1_2403", +"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2403 or FW510-R12_contig_1_2670", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -15572,7 +15551,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1802 or FW510-R12_contig_1_2081 or FW510-R12_contig_1_1015 or FW510-R12_contig_1_1090 or FW510-R12_contig_1_2341 or FW510-R12_contig_1_2602", +"gene_reaction_rule":"FW510-R12_contig_1_1015 or FW510-R12_contig_1_2081 or FW510-R12_contig_1_1090 or FW510-R12_contig_1_2602 or FW510-R12_contig_1_2341 or FW510-R12_contig_1_1802", "notes":{ "modelseed_complex":"cpx00893" }, @@ -15632,7 +15611,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_2626 or FW510-R12_contig_1_2077 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_2111 or FW510-R12_contig_1_3540) or (FW510-R12_contig_1_2626 or FW510-R12_contig_1_2077 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_2111 or FW510-R12_contig_1_3540)", +"gene_reaction_rule":"(FW510-R12_contig_1_2111 or FW510-R12_contig_1_2626 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_3540 or FW510-R12_contig_1_2077) or (FW510-R12_contig_1_2111 or FW510-R12_contig_1_2626 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_3540 or FW510-R12_contig_1_2077)", "notes":{ "modelseed_complex":"cpx00454;cpx00666" }, @@ -15695,7 +15674,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -15714,7 +15693,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"FW510-R12_contig_1_1485 or (FW510-R12_contig_1_132 or FW510-R12_contig_1_293)", +"gene_reaction_rule":"FW510-R12_contig_1_1485 or (FW510-R12_contig_1_293 or FW510-R12_contig_1_132)", "notes":{ "modelseed_complex":"cpx00115;cpx00116" }, @@ -16001,7 +15980,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -16084,7 +16063,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2670 or FW510-R12_contig_1_2403", +"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2403 or FW510-R12_contig_1_2670", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -16106,7 +16085,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2679 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_19 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2084", +"gene_reaction_rule":"FW510-R12_contig_1_2084 or FW510-R12_contig_1_19 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2679", "notes":{ "modelseed_complex":"cpx00498" }, @@ -16621,7 +16600,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -16642,7 +16621,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1485 or (FW510-R12_contig_1_132 or FW510-R12_contig_1_293)", +"gene_reaction_rule":"FW510-R12_contig_1_1485 or (FW510-R12_contig_1_293 or FW510-R12_contig_1_132)", "notes":{ "modelseed_complex":"cpx00115;cpx00116" }, @@ -16825,7 +16804,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1754 or FW510-R12_contig_1_2887 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", +"gene_reaction_rule":"FW510-R12_contig_1_2887 or FW510-R12_contig_1_1754 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", "notes":{ "modelseed_complex":"cpx00289;tcpx00137;tcpx00139;tcpx00150" }, @@ -16844,7 +16823,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2638", +"gene_reaction_rule":"FW510-R12_contig_1_2638 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366", "notes":{ "modelseed_complex":"cpx00206" }, @@ -17025,7 +17004,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2638", +"gene_reaction_rule":"FW510-R12_contig_1_2638 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366", "notes":{ "modelseed_complex":"cpx00206" }, @@ -17066,7 +17045,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -17169,7 +17148,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1754 or FW510-R12_contig_1_2887 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", +"gene_reaction_rule":"FW510-R12_contig_1_2887 or FW510-R12_contig_1_1754 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", "notes":{ "modelseed_complex":"cpx00289;tcpx00137;tcpx00139;tcpx00150" }, @@ -17271,7 +17250,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1100 or FW510-R12_contig_1_113 or FW510-R12_contig_1_998 or FW510-R12_contig_1_1105 or FW510-R12_contig_1_1103) or (FW510-R12_contig_1_1909 and FW510-R12_contig_1_1908 and (FW510-R12_contig_1_1911 or FW510-R12_contig_1_3490) and FW510-R12_contig_1_1910)", +"gene_reaction_rule":"(FW510-R12_contig_1_1909 and FW510-R12_contig_1_1908 and (FW510-R12_contig_1_1911 or FW510-R12_contig_1_3490) and FW510-R12_contig_1_1910) or (FW510-R12_contig_1_1105 or FW510-R12_contig_1_113 or FW510-R12_contig_1_1100 or FW510-R12_contig_1_998 or FW510-R12_contig_1_1103)", "notes":{ "modelseed_complex":"tcpx00586;tcpx01212" }, @@ -17460,7 +17439,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2670 or FW510-R12_contig_1_2403", +"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2403 or FW510-R12_contig_1_2670", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -17723,7 +17702,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -17744,7 +17723,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2209 or (FW510-R12_contig_1_2078 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_2682)", +"gene_reaction_rule":"FW510-R12_contig_1_2209 or (FW510-R12_contig_1_2682 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110)", "notes":{ "modelseed_complex":"cpx01599;tcpx00306" }, @@ -17947,7 +17926,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_626 or FW510-R12_contig_1_3249", +"gene_reaction_rule":"FW510-R12_contig_1_3249 or FW510-R12_contig_1_626", "notes":{ "modelseed_complex":"cpx00388" }, @@ -17966,7 +17945,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -18007,7 +17986,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2638", +"gene_reaction_rule":"FW510-R12_contig_1_2638 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366", "notes":{ "modelseed_complex":"cpx00206" }, @@ -18176,7 +18155,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -18752,7 +18731,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -18871,7 +18850,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_132 or FW510-R12_contig_1_293) or FW510-R12_contig_1_1485", +"gene_reaction_rule":"(FW510-R12_contig_1_293 or FW510-R12_contig_1_132) or FW510-R12_contig_1_1485", "notes":{ "modelseed_complex":"cpx00115;cpx00116" }, @@ -18912,7 +18891,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2907 or FW510-R12_contig_1_2884 or FW510-R12_contig_1_2181", +"gene_reaction_rule":"FW510-R12_contig_1_2884 or FW510-R12_contig_1_2907 or FW510-R12_contig_1_2181", "notes":{ "modelseed_complex":"cpx01252" }, @@ -19367,7 +19346,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -19490,7 +19469,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -19634,7 +19613,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1485 or (FW510-R12_contig_1_132 or FW510-R12_contig_1_293)", +"gene_reaction_rule":"FW510-R12_contig_1_1485 or (FW510-R12_contig_1_293 or FW510-R12_contig_1_132)", "notes":{ "modelseed_complex":"cpx00115;cpx00116" }, @@ -19654,7 +19633,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1753 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1377) and FW510-R12_contig_1_715", +"gene_reaction_rule":"(FW510-R12_contig_1_1377 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1753) and FW510-R12_contig_1_715", "notes":{ "modelseed_complex":"tcpx00294" }, @@ -19779,7 +19758,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3174 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052) or FW510-R12_contig_1_3492", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00046;cpx00048;cpx00051" }, @@ -19840,7 +19819,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2448 or FW510-R12_contig_1_1859 or FW510-R12_contig_1_1832", +"gene_reaction_rule":"FW510-R12_contig_1_1832 or FW510-R12_contig_1_1859 or FW510-R12_contig_1_2448", "notes":{ "modelseed_complex":"cpx00571" }, @@ -19860,7 +19839,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2670 or FW510-R12_contig_1_2403", +"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2403 or FW510-R12_contig_1_2670", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -19921,7 +19900,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -20293,7 +20272,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2670 or FW510-R12_contig_1_2403", +"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2403 or FW510-R12_contig_1_2670", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -20313,7 +20292,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -20371,7 +20350,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -20435,7 +20414,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2679 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_19 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2084", +"gene_reaction_rule":"FW510-R12_contig_1_2084 or FW510-R12_contig_1_19 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2679", "notes":{ "modelseed_complex":"cpx00498" }, @@ -20473,7 +20452,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2285 or FW510-R12_contig_1_2289", +"gene_reaction_rule":"FW510-R12_contig_1_2289 or FW510-R12_contig_1_2285", "notes":{ "modelseed_complex":"cpx00788" }, @@ -20535,7 +20514,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2705 or FW510-R12_contig_1_2488", +"gene_reaction_rule":"FW510-R12_contig_1_2488 or FW510-R12_contig_1_2705", "notes":{ "modelseed_complex":"cpx01000" }, @@ -20573,7 +20552,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_698 or FW510-R12_contig_1_1671 or (FW510-R12_contig_1_2448 or FW510-R12_contig_1_1859 or FW510-R12_contig_1_1832)", +"gene_reaction_rule":"FW510-R12_contig_1_1671 or (FW510-R12_contig_1_1832 or FW510-R12_contig_1_1859 or FW510-R12_contig_1_2448) or FW510-R12_contig_1_698", "notes":{ "modelseed_complex":"cpx00571;cpx01690;tcpx01256" }, @@ -20756,7 +20735,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_3392 or FW510-R12_contig_1_2475) and (FW510-R12_contig_1_2476 or FW510-R12_contig_1_3393)", +"gene_reaction_rule":"(FW510-R12_contig_1_2475 or FW510-R12_contig_1_3392) and (FW510-R12_contig_1_2476 or FW510-R12_contig_1_3393)", "notes":{ "modelseed_complex":"tcpx00088" }, @@ -20797,7 +20776,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_923 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2562 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2102 or FW510-R12_contig_1_2087) or (FW510-R12_contig_1_2116 or FW510-R12_contig_1_2076)", +"gene_reaction_rule":"(FW510-R12_contig_1_2102 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2087 or FW510-R12_contig_1_923 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2562) or (FW510-R12_contig_1_2116 or FW510-R12_contig_1_2076)", "notes":{ "modelseed_complex":"tcpx00054;tcpx00282" }, @@ -20901,7 +20880,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_3392 or FW510-R12_contig_1_2475) and (FW510-R12_contig_1_2476 or FW510-R12_contig_1_3393)", +"gene_reaction_rule":"(FW510-R12_contig_1_2475 or FW510-R12_contig_1_3392) and (FW510-R12_contig_1_2476 or FW510-R12_contig_1_3393)", "notes":{ "modelseed_complex":"tcpx00088" }, @@ -20921,7 +20900,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2670 or FW510-R12_contig_1_2403", +"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2403 or FW510-R12_contig_1_2670", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -20960,7 +20939,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2669 or FW510-R12_contig_1_2505", +"gene_reaction_rule":"FW510-R12_contig_1_2505 or FW510-R12_contig_1_2669", "notes":{ "modelseed_complex":"tcpx00930" }, @@ -21653,7 +21632,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1575 and (FW510-R12_contig_1_923 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2562 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2102 or FW510-R12_contig_1_2087)", +"gene_reaction_rule":"FW510-R12_contig_1_1575 and (FW510-R12_contig_1_2102 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2087 or FW510-R12_contig_1_923 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2562)", "notes":{ "modelseed_complex":"tcpx01116" }, @@ -21734,7 +21713,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_624 or FW510-R12_contig_1_3221) and (FW510-R12_contig_1_3222 or FW510-R12_contig_1_625)", +"gene_reaction_rule":"(FW510-R12_contig_1_3221 or FW510-R12_contig_1_624) and (FW510-R12_contig_1_625 or FW510-R12_contig_1_3222)", "notes":{ "modelseed_complex":"tcpx00206" }, @@ -22046,7 +22025,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1751 and (FW510-R12_contig_1_1753 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1377)", +"gene_reaction_rule":"FW510-R12_contig_1_1751 and (FW510-R12_contig_1_1377 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1753)", "notes":{ "modelseed_complex":"tcpx00408" }, @@ -22066,7 +22045,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -22151,7 +22130,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1754 or FW510-R12_contig_1_2887 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", +"gene_reaction_rule":"FW510-R12_contig_1_2887 or FW510-R12_contig_1_1754 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", "notes":{ "modelseed_complex":"cpx00289;tcpx00137;tcpx00139;tcpx00150" }, @@ -22172,7 +22151,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1946 or FW510-R12_contig_1_1689) or FW510-R12_contig_1_239", +"gene_reaction_rule":"FW510-R12_contig_1_239 or (FW510-R12_contig_1_1689 or FW510-R12_contig_1_1946)", "notes":{ "modelseed_complex":"tcpx00325;tcpx00846" }, @@ -22378,7 +22357,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3042 or FW510-R12_contig_1_3047", +"gene_reaction_rule":"FW510-R12_contig_1_3047 or FW510-R12_contig_1_3042", "notes":{ "modelseed_complex":"cpx01675" }, @@ -22462,7 +22441,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"(FW510-R12_contig_1_923 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2562 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2102 or FW510-R12_contig_1_2087) or FW510-R12_contig_1_1565", +"gene_reaction_rule":"(FW510-R12_contig_1_2102 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2087 or FW510-R12_contig_1_923 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2562) or FW510-R12_contig_1_1565", "notes":{ "modelseed_complex":"tcpx00282;tcpx00283" }, @@ -22519,7 +22498,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_508 or FW510-R12_contig_1_2167", +"gene_reaction_rule":"FW510-R12_contig_1_2167 or FW510-R12_contig_1_508", "notes":{ "modelseed_complex":"tcpx00297" }, @@ -22539,7 +22518,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -22603,7 +22582,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2679 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_19 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2084", +"gene_reaction_rule":"FW510-R12_contig_1_2084 or FW510-R12_contig_1_19 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2679", "notes":{ "modelseed_complex":"cpx00498" }, @@ -22976,7 +22955,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -23096,7 +23075,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2638", +"gene_reaction_rule":"FW510-R12_contig_1_2638 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366", "notes":{ "modelseed_complex":"cpx00206" }, @@ -23158,7 +23137,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"(FW510-R12_contig_1_2626 or FW510-R12_contig_1_2077 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_2111 or FW510-R12_contig_1_3540) or FW510-R12_contig_1_2210", +"gene_reaction_rule":"FW510-R12_contig_1_2210 or (FW510-R12_contig_1_2111 or FW510-R12_contig_1_2626 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_3540 or FW510-R12_contig_1_2077)", "notes":{ "modelseed_complex":"cpx00454;tcpx00072" }, @@ -23248,7 +23227,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_382 and (FW510-R12_contig_1_1753 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1377)", +"gene_reaction_rule":"FW510-R12_contig_1_382 and (FW510-R12_contig_1_1377 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1753)", "notes":{ "modelseed_complex":"tcpx00400" }, @@ -23474,7 +23453,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2682 or (FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2638)", +"gene_reaction_rule":"FW510-R12_contig_1_2682 or (FW510-R12_contig_1_2638 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366)", "notes":{ "modelseed_complex":"cpx00206;cpx01687" }, @@ -23575,7 +23554,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1802 or FW510-R12_contig_1_2081 or FW510-R12_contig_1_1015 or FW510-R12_contig_1_1090 or FW510-R12_contig_1_2341 or FW510-R12_contig_1_2602", +"gene_reaction_rule":"FW510-R12_contig_1_1015 or FW510-R12_contig_1_2081 or FW510-R12_contig_1_1090 or FW510-R12_contig_1_2602 or FW510-R12_contig_1_2341 or FW510-R12_contig_1_1802", "notes":{ "modelseed_complex":"cpx00893" }, @@ -23757,7 +23736,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3042 or FW510-R12_contig_1_3047", +"gene_reaction_rule":"FW510-R12_contig_1_3047 or FW510-R12_contig_1_3042", "notes":{ "modelseed_complex":"cpx01675" }, @@ -23798,7 +23777,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_933 or FW510-R12_contig_1_930) or FW510-R12_contig_1_1495", +"gene_reaction_rule":"FW510-R12_contig_1_1495 or (FW510-R12_contig_1_930 or FW510-R12_contig_1_933)", "notes":{ "modelseed_complex":"tcpx00389;tcpx01349" }, @@ -23839,7 +23818,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"(FW510-R12_contig_1_2626 or FW510-R12_contig_1_2077 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_2111 or FW510-R12_contig_1_3540) or FW510-R12_contig_1_2210", +"gene_reaction_rule":"FW510-R12_contig_1_2210 or (FW510-R12_contig_1_2111 or FW510-R12_contig_1_2626 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_3540 or FW510-R12_contig_1_2077)", "notes":{ "modelseed_complex":"cpx00454;tcpx00072" }, @@ -23881,7 +23860,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2184 or FW510-R12_contig_1_2282", +"gene_reaction_rule":"FW510-R12_contig_1_2282 or FW510-R12_contig_1_2184", "notes":{ "modelseed_complex":"cpx01829" }, @@ -23964,7 +23943,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_674 or FW510-R12_contig_1_1666) or FW510-R12_contig_1_1667", +"gene_reaction_rule":"FW510-R12_contig_1_1667 or (FW510-R12_contig_1_674 or FW510-R12_contig_1_1666)", "notes":{ "modelseed_complex":"cpx00767;cpx00769" }, @@ -24002,7 +23981,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1886 or FW510-R12_contig_1_2292", +"gene_reaction_rule":"FW510-R12_contig_1_2292 or FW510-R12_contig_1_1886", "notes":{ "modelseed_complex":"cpx00627;tcpx00030" }, @@ -24021,7 +24000,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -24066,7 +24045,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_13 or (FW510-R12_contig_1_14 or FW510-R12_contig_1_3004 or FW510-R12_contig_1_753)", +"gene_reaction_rule":"(FW510-R12_contig_1_3004 or FW510-R12_contig_1_753 or FW510-R12_contig_1_14) or FW510-R12_contig_1_13", "notes":{ "modelseed_complex":"tcpx00280;tcpx00281" }, @@ -24126,7 +24105,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -24315,7 +24294,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1754 or FW510-R12_contig_1_2887 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", +"gene_reaction_rule":"FW510-R12_contig_1_2887 or FW510-R12_contig_1_1754 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", "notes":{ "modelseed_complex":"cpx00289;tcpx00137;tcpx00139;tcpx00150" }, @@ -24524,7 +24503,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2679 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_19 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2084", +"gene_reaction_rule":"FW510-R12_contig_1_2084 or FW510-R12_contig_1_19 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2679", "notes":{ "modelseed_complex":"cpx00498" }, @@ -24543,7 +24522,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2638", +"gene_reaction_rule":"FW510-R12_contig_1_2638 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366", "notes":{ "modelseed_complex":"cpx00206" }, @@ -24686,7 +24665,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_3222 or FW510-R12_contig_1_625) or (FW510-R12_contig_1_624 or FW510-R12_contig_1_3221)", +"gene_reaction_rule":"(FW510-R12_contig_1_3221 or FW510-R12_contig_1_624) or (FW510-R12_contig_1_625 or FW510-R12_contig_1_3222)", "notes":{ "modelseed_complex":"cpx01169;cpx01170" }, @@ -24709,7 +24688,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_2679 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_19 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2084) or FW510-R12_contig_1_19", +"gene_reaction_rule":"(FW510-R12_contig_1_2084 or FW510-R12_contig_1_19 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2679) or FW510-R12_contig_1_19", "notes":{ "modelseed_complex":"cpx00498;cpx00912" }, @@ -24959,7 +24938,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1753 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1377", +"gene_reaction_rule":"FW510-R12_contig_1_1377 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1753", "notes":{ "modelseed_complex":"cpx52431" }, @@ -24980,7 +24959,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3294 or (FW510-R12_contig_2_132 or FW510-R12_contig_1_3121) or FW510-R12_contig_1_1887", +"gene_reaction_rule":"FW510-R12_contig_1_3294 or (FW510-R12_contig_1_3121 or FW510-R12_contig_2_132) or FW510-R12_contig_1_1887", "notes":{ "modelseed_complex":"cpx00680;cpx00681;cpx00682" }, @@ -25062,7 +25041,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"FW510-R12_contig_1_619 or FW510-R12_contig_1_620 or FW510-R12_contig_1_816", +"gene_reaction_rule":"FW510-R12_contig_1_816 or FW510-R12_contig_1_619 or FW510-R12_contig_1_620", "notes":{ "modelseed_complex":"tcpx00228;tcpx00229;tcpx00230" }, @@ -25223,7 +25202,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2349 or (FW510-R12_contig_1_1301 or FW510-R12_contig_1_1502)", +"gene_reaction_rule":"FW510-R12_contig_1_2349 or (FW510-R12_contig_1_1502 or FW510-R12_contig_1_1301)", "notes":{ "modelseed_complex":"cpx01563;cpx01564" }, @@ -25304,7 +25283,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"FW510-R12_contig_1_1986 or FW510-R12_contig_1_3069", +"gene_reaction_rule":"FW510-R12_contig_1_3069 or FW510-R12_contig_1_1986", "notes":{ "modelseed_complex":"cpx01032" }, @@ -25325,7 +25304,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3159 or FW510-R12_contig_1_3160", +"gene_reaction_rule":"FW510-R12_contig_1_3160 or FW510-R12_contig_1_3159", "notes":{ "modelseed_complex":"cpx00019" }, @@ -25411,7 +25390,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"(FW510-R12_contig_1_2626 or FW510-R12_contig_1_2077 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_2111 or FW510-R12_contig_1_3540) or FW510-R12_contig_1_2210", +"gene_reaction_rule":"FW510-R12_contig_1_2210 or (FW510-R12_contig_1_2111 or FW510-R12_contig_1_2626 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_3540 or FW510-R12_contig_1_2077)", "notes":{ "modelseed_complex":"cpx00454;tcpx00072" }, @@ -25492,7 +25471,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1022 or FW510-R12_contig_1_3182", +"gene_reaction_rule":"FW510-R12_contig_1_3182 or FW510-R12_contig_1_1022", "notes":{ "modelseed_complex":"cpx00910;cpx52754" }, @@ -25638,7 +25617,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2628 or FW510-R12_contig_1_1520", +"gene_reaction_rule":"FW510-R12_contig_1_1520 or FW510-R12_contig_1_2628", "notes":{ "modelseed_complex":"cpx01577;tcpx00363" }, @@ -25699,7 +25678,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1797 and FW510-R12_contig_1_1315 and FW510-R12_contig_1_271 and FW510-R12_contig_1_1 and FW510-R12_contig_1_4 and FW510-R12_contig_1_2376 and (FW510-R12_contig_2_203 or FW510-R12_contig_1_2) and FW510-R12_contig_1_1944 and (FW510-R12_contig_2_21 or FW510-R12_contig_1_971) and FW510-R12_contig_1_793 and FW510-R12_contig_1_3175 and FW510-R12_contig_1_1759 and FW510-R12_contig_1_1837 and FW510-R12_contig_1_589 and FW510-R12_contig_1_1836 and FW510-R12_contig_1_1738 and FW510-R12_contig_1_1421", +"gene_reaction_rule":"FW510-R12_contig_1_1797 and FW510-R12_contig_1_1315 and FW510-R12_contig_1_271 and FW510-R12_contig_1_1 and FW510-R12_contig_1_4 and FW510-R12_contig_1_2376 and (FW510-R12_contig_1_2 or FW510-R12_contig_2_203) and FW510-R12_contig_1_1944 and (FW510-R12_contig_1_971 or FW510-R12_contig_2_21) and FW510-R12_contig_1_793 and FW510-R12_contig_1_3175 and FW510-R12_contig_1_1759 and FW510-R12_contig_1_1837 and FW510-R12_contig_1_589 and FW510-R12_contig_1_1836 and FW510-R12_contig_1_1738 and FW510-R12_contig_1_1421", "notes":{ "modelseed_complex":"tcpx01183" }, @@ -25902,7 +25881,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1243 or FW510-R12_contig_1_2182", +"gene_reaction_rule":"FW510-R12_contig_1_2182 or FW510-R12_contig_1_1243", "notes":{ "modelseed_complex":"cpx01408;tcpx01061" }, @@ -26237,7 +26216,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2448 or FW510-R12_contig_1_1859 or FW510-R12_contig_1_1832", +"gene_reaction_rule":"FW510-R12_contig_1_1832 or FW510-R12_contig_1_1859 or FW510-R12_contig_1_2448", "notes":{ "modelseed_complex":"cpx00571" }, @@ -26278,7 +26257,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_923 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2562 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2102 or FW510-R12_contig_1_2087) or (FW510-R12_contig_1_2116 or FW510-R12_contig_1_2076)", +"gene_reaction_rule":"(FW510-R12_contig_1_2102 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2087 or FW510-R12_contig_1_923 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2562) or (FW510-R12_contig_1_2116 or FW510-R12_contig_1_2076)", "notes":{ "modelseed_complex":"tcpx00054;tcpx00282" }, @@ -26384,7 +26363,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2679 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_19 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2084", +"gene_reaction_rule":"FW510-R12_contig_1_2084 or FW510-R12_contig_1_19 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2679", "notes":{ "modelseed_complex":"cpx00498" }, @@ -26423,7 +26402,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_490 or FW510-R12_contig_1_1898 or FW510-R12_contig_1_173", +"gene_reaction_rule":"FW510-R12_contig_1_1898 or FW510-R12_contig_1_490 or FW510-R12_contig_1_173", "notes":{ "modelseed_complex":"cpx00725" }, @@ -26754,7 +26733,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1812 or (FW510-R12_contig_1_1230 or FW510-R12_contig_1_744)", +"gene_reaction_rule":"(FW510-R12_contig_1_1230 or FW510-R12_contig_1_744) or FW510-R12_contig_1_1812", "notes":{ "modelseed_complex":"cpx00988;tcpx00210" }, @@ -26816,7 +26795,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2670 or FW510-R12_contig_1_2403", +"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2403 or FW510-R12_contig_1_2670", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -26878,7 +26857,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_490 or FW510-R12_contig_1_1898 or FW510-R12_contig_1_173", +"gene_reaction_rule":"FW510-R12_contig_1_1898 or FW510-R12_contig_1_490 or FW510-R12_contig_1_173", "notes":{ "modelseed_complex":"cpx00725" }, @@ -26919,7 +26898,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2191 or FW510-R12_contig_1_1957", +"gene_reaction_rule":"FW510-R12_contig_1_1957 or FW510-R12_contig_1_2191", "notes":{ "modelseed_complex":"tcpx00856" }, @@ -27022,7 +27001,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -27207,7 +27186,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"FW510-R12_contig_1_348 or FW510-R12_contig_1_221", +"gene_reaction_rule":"FW510-R12_contig_1_221 or FW510-R12_contig_1_348", "notes":{ "modelseed_complex":"tcpx00401" }, @@ -27250,7 +27229,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1663 or FW510-R12_contig_1_2137 or FW510-R12_contig_1_3112 or FW510-R12_contig_2_92 or FW510-R12_contig_1_2130 or FW510-R12_contig_1_2047 or FW510-R12_contig_1_2139 or FW510-R12_contig_2_94", +"gene_reaction_rule":"FW510-R12_contig_1_2130 or FW510-R12_contig_1_2137 or FW510-R12_contig_1_2139 or FW510-R12_contig_1_3112 or FW510-R12_contig_2_94 or FW510-R12_contig_1_1663 or FW510-R12_contig_1_2047 or FW510-R12_contig_2_92", "notes":{ "modelseed_complex":"cpx00233" }, @@ -27271,7 +27250,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2209 or (FW510-R12_contig_1_2078 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_2682)", +"gene_reaction_rule":"FW510-R12_contig_1_2209 or (FW510-R12_contig_1_2682 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110)", "notes":{ "modelseed_complex":"cpx01599;tcpx00306" }, @@ -27313,7 +27292,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_2626 or FW510-R12_contig_1_2077 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_2111 or FW510-R12_contig_1_3540) or FW510-R12_contig_1_2210", +"gene_reaction_rule":"FW510-R12_contig_1_2210 or (FW510-R12_contig_1_2111 or FW510-R12_contig_1_2626 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_3540 or FW510-R12_contig_1_2077)", "notes":{ "modelseed_complex":"cpx00454;tcpx00072" }, @@ -27373,7 +27352,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_2476 or FW510-R12_contig_1_3393) and (FW510-R12_contig_1_3392 or FW510-R12_contig_1_2475) and (FW510-R12_contig_1_3394 or FW510-R12_contig_1_2473) and FW510-R12_contig_1_2474", +"gene_reaction_rule":"(FW510-R12_contig_1_2476 or FW510-R12_contig_1_3393) and (FW510-R12_contig_1_2475 or FW510-R12_contig_1_3392) and (FW510-R12_contig_1_3394 or FW510-R12_contig_1_2473) and FW510-R12_contig_1_2474", "notes":{ "modelseed_complex":"tcpx00292" }, @@ -27436,7 +27415,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_626 or FW510-R12_contig_1_3249", +"gene_reaction_rule":"FW510-R12_contig_1_3249 or FW510-R12_contig_1_626", "notes":{ "modelseed_complex":"cpx00388" }, @@ -27456,7 +27435,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_857 or FW510-R12_contig_1_1483", +"gene_reaction_rule":"FW510-R12_contig_1_1483 or FW510-R12_contig_1_857", "notes":{ "modelseed_complex":"cpx01459;cpx52471" }, @@ -27642,7 +27621,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_715 or (FW510-R12_contig_1_1753 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1377)", +"gene_reaction_rule":"FW510-R12_contig_1_715 or (FW510-R12_contig_1_1377 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1753)", "notes":{ "modelseed_complex":"cpx00011;tcpx00412" }, @@ -27804,7 +27783,7 @@ "cpd00005_c0":-1, "cpd00006_c0":1 }, -"lower_bound":0, +"lower_bound":-1000, "upper_bound":1000, "gene_reaction_rule":"FW510-R12_contig_1_1219 and FW510-R12_contig_1_1218 and FW510-R12_contig_1_1214", "notes":{ @@ -27947,7 +27926,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_2626 or FW510-R12_contig_1_2077 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_2111 or FW510-R12_contig_1_3540) or FW510-R12_contig_1_2210 or (FW510-R12_contig_1_2626 or FW510-R12_contig_1_2077 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_2111 or FW510-R12_contig_1_3540)", +"gene_reaction_rule":"(FW510-R12_contig_1_2111 or FW510-R12_contig_1_2626 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_3540 or FW510-R12_contig_1_2077) or (FW510-R12_contig_1_2111 or FW510-R12_contig_1_2626 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_3540 or FW510-R12_contig_1_2077) or FW510-R12_contig_1_2210", "notes":{ "modelseed_complex":"cpx00454;cpx00666;tcpx00072" }, @@ -28012,7 +27991,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2184 or FW510-R12_contig_1_2282", +"gene_reaction_rule":"FW510-R12_contig_1_2282 or FW510-R12_contig_1_2184", "notes":{ "modelseed_complex":"cpx01358" }, @@ -28094,7 +28073,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2679 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_19 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2084", +"gene_reaction_rule":"FW510-R12_contig_1_2084 or FW510-R12_contig_1_19 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2679", "notes":{ "modelseed_complex":"cpx00498" }, @@ -28156,7 +28135,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -28219,7 +28198,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3368 or FW510-R12_contig_1_3558", +"gene_reaction_rule":"FW510-R12_contig_1_3558 or FW510-R12_contig_1_3368", "notes":{ "modelseed_complex":"cpx00325" }, @@ -28239,7 +28218,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1561 or FW510-R12_contig_1_1563", +"gene_reaction_rule":"FW510-R12_contig_1_1563 or FW510-R12_contig_1_1561", "notes":{ "modelseed_complex":"cpx00684;tcpx01107" }, @@ -28489,7 +28468,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -28569,7 +28548,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_626 or FW510-R12_contig_1_3249", +"gene_reaction_rule":"FW510-R12_contig_1_3249 or FW510-R12_contig_1_626", "notes":{ "modelseed_complex":"cpx00388" }, @@ -28609,7 +28588,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -28676,7 +28655,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2679 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_19 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2084", +"gene_reaction_rule":"FW510-R12_contig_1_2084 or FW510-R12_contig_1_19 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2679", "notes":{ "modelseed_complex":"cpx00498" }, @@ -28756,7 +28735,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2670 or FW510-R12_contig_1_2403", +"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2403 or FW510-R12_contig_1_2670", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -28837,7 +28816,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3391 or FW510-R12_contig_1_1841", +"gene_reaction_rule":"FW510-R12_contig_1_1841 or FW510-R12_contig_1_3391", "notes":{ "modelseed_complex":"tcpx00170" }, @@ -28941,7 +28920,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2679 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_19 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2084", +"gene_reaction_rule":"FW510-R12_contig_1_2084 or FW510-R12_contig_1_19 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2679", "notes":{ "modelseed_complex":"cpx00498" }, @@ -29352,7 +29331,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1684 or FW510-R12_contig_1_3245", +"gene_reaction_rule":"FW510-R12_contig_1_3245 or FW510-R12_contig_1_1684", "notes":{ "modelseed_complex":"cpx01565" }, @@ -29393,7 +29372,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3368 or FW510-R12_contig_1_3558", +"gene_reaction_rule":"FW510-R12_contig_1_3558 or FW510-R12_contig_1_3368", "notes":{ "modelseed_complex":"cpx00325" }, @@ -29435,7 +29414,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1804 or FW510-R12_contig_1_839", +"gene_reaction_rule":"FW510-R12_contig_1_839 or FW510-R12_contig_1_1804", "notes":{ "modelseed_complex":"cpx00973;cpx00974" }, @@ -29454,7 +29433,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -29496,7 +29475,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1802 or FW510-R12_contig_1_2081 or FW510-R12_contig_1_1015 or FW510-R12_contig_1_1090 or FW510-R12_contig_1_2341 or FW510-R12_contig_1_2602", +"gene_reaction_rule":"FW510-R12_contig_1_1015 or FW510-R12_contig_1_2081 or FW510-R12_contig_1_1090 or FW510-R12_contig_1_2602 or FW510-R12_contig_1_2341 or FW510-R12_contig_1_1802", "notes":{ "modelseed_complex":"cpx00893" }, @@ -29702,7 +29681,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2078 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_2682", +"gene_reaction_rule":"FW510-R12_contig_1_2682 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110", "notes":{ "modelseed_complex":"cpx00104" }, @@ -29761,7 +29740,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_490 or FW510-R12_contig_1_1898 or FW510-R12_contig_1_173", +"gene_reaction_rule":"FW510-R12_contig_1_1898 or FW510-R12_contig_1_490 or FW510-R12_contig_1_173", "notes":{ "modelseed_complex":"cpx00725" }, @@ -29926,7 +29905,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1754 or FW510-R12_contig_1_2887 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", +"gene_reaction_rule":"FW510-R12_contig_1_2887 or FW510-R12_contig_1_1754 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", "notes":{ "modelseed_complex":"cpx00289;tcpx00137;tcpx00139;tcpx00150" }, @@ -29945,7 +29924,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2638", +"gene_reaction_rule":"FW510-R12_contig_1_2638 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366", "notes":{ "modelseed_complex":"cpx00206" }, @@ -29965,7 +29944,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2670 or FW510-R12_contig_1_2403", +"gene_reaction_rule":"FW510-R12_contig_1_1571 or FW510-R12_contig_1_2403 or FW510-R12_contig_1_2670", "notes":{ "modelseed_complex":"cpx00863;cpx01447;cpx52456" }, @@ -29986,7 +29965,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -30009,7 +29988,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2186 or FW510-R12_contig_1_3179", +"gene_reaction_rule":"FW510-R12_contig_1_3179 or FW510-R12_contig_1_2186", "notes":{ "modelseed_complex":"cpx01550;tcpx00305" }, @@ -30027,7 +30006,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_859 or FW510-R12_contig_1_2576", +"gene_reaction_rule":"FW510-R12_contig_1_2576 or FW510-R12_contig_1_859", "notes":{ "modelseed_complex":"tcpx00837" }, @@ -30112,7 +30091,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_13 and (FW510-R12_contig_1_14 or FW510-R12_contig_1_3004 or FW510-R12_contig_1_753)", +"gene_reaction_rule":"FW510-R12_contig_1_13 and (FW510-R12_contig_1_3004 or FW510-R12_contig_1_753 or FW510-R12_contig_1_14)", "notes":{ "modelseed_complex":"cpx00780" }, @@ -30235,7 +30214,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_715 or (FW510-R12_contig_1_1753 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1377)", +"gene_reaction_rule":"FW510-R12_contig_1_715 or (FW510-R12_contig_1_1377 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1753)", "notes":{ "modelseed_complex":"cpx00011;cpx52431" }, @@ -30318,7 +30297,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3391 or FW510-R12_contig_1_1841", +"gene_reaction_rule":"FW510-R12_contig_1_1841 or FW510-R12_contig_1_3391", "notes":{ "modelseed_complex":"tcpx00170" }, @@ -30502,7 +30481,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1753 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1377", +"gene_reaction_rule":"FW510-R12_contig_1_1377 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1753", "notes":{ "modelseed_complex":"cpx52431" }, @@ -30545,7 +30524,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3562 and FW510-R12_contig_1_2357 and FW510-R12_contig_1_219 and FW510-R12_contig_1_1288 and (FW510-R12_contig_1_1258 or FW510-R12_contig_1_1257) and FW510-R12_contig_1_1787", +"gene_reaction_rule":"FW510-R12_contig_1_3562 and FW510-R12_contig_1_2357 and FW510-R12_contig_1_219 and FW510-R12_contig_1_1288 and (FW510-R12_contig_1_1257 or FW510-R12_contig_1_1258) and FW510-R12_contig_1_1787", "notes":{ "modelseed_complex":"cpx01056" }, @@ -30708,7 +30687,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_923 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2562 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2102 or FW510-R12_contig_1_2087) or (FW510-R12_contig_1_2116 or FW510-R12_contig_1_2076)", +"gene_reaction_rule":"(FW510-R12_contig_1_2102 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2087 or FW510-R12_contig_1_923 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2562) or (FW510-R12_contig_1_2116 or FW510-R12_contig_1_2076)", "notes":{ "modelseed_complex":"tcpx00054;tcpx00282" }, @@ -30838,7 +30817,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_923 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2562 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2102 or FW510-R12_contig_1_2087) or (FW510-R12_contig_1_2116 or FW510-R12_contig_1_2076)", +"gene_reaction_rule":"(FW510-R12_contig_1_2102 or FW510-R12_contig_1_2086 or FW510-R12_contig_1_2087 or FW510-R12_contig_1_923 or FW510-R12_contig_1_2684 or FW510-R12_contig_1_2107 or FW510-R12_contig_1_2562) or (FW510-R12_contig_1_2116 or FW510-R12_contig_1_2076)", "notes":{ "modelseed_complex":"tcpx00054;tcpx00282" }, @@ -30932,28 +30911,6 @@ } }, { -"id":"rxn11937_c0", -"name":"Nitrogen:(NAD) oxidoreductase (N2O-forming) [c0]", -"metabolites":{ -"cpd00001_c0":-1, -"cpd00003_c0":-1, -"cpd00004_c0":1, -"cpd00067_c0":1, -"cpd00528_e0":-1, -"cpd00659_e0":1 -}, -"lower_bound":-1000, -"upper_bound":0, -"gene_reaction_rule":"FW510-R12_contig_1_2809", -"notes":{ -"modelseed_complex":"cpx01119" -}, -"annotation":{ -"sbo":"SBO:0000176", -"seed.reaction":"rxn11937" -} -}, -{ "id":"rxn08335_c0", "name":"(S)-dihydroorotate:quinone oxidoreductase [c0]", "metabolites":{ @@ -31049,7 +31006,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1753 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1377) and FW510-R12_contig_1_1319", +"gene_reaction_rule":"(FW510-R12_contig_1_1377 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1753) and FW510-R12_contig_1_1319", "notes":{ "modelseed_complex":"tcpx00746" }, @@ -31068,7 +31025,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -31087,7 +31044,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2638", +"gene_reaction_rule":"FW510-R12_contig_1_2638 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366", "notes":{ "modelseed_complex":"cpx00206" }, @@ -31108,7 +31065,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1802 or FW510-R12_contig_1_2081 or FW510-R12_contig_1_1015 or FW510-R12_contig_1_1090 or FW510-R12_contig_1_2341 or FW510-R12_contig_1_2602", +"gene_reaction_rule":"FW510-R12_contig_1_1015 or FW510-R12_contig_1_2081 or FW510-R12_contig_1_1090 or FW510-R12_contig_1_2602 or FW510-R12_contig_1_2341 or FW510-R12_contig_1_1802", "notes":{ "modelseed_complex":"cpx00893" }, @@ -31192,7 +31149,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_255 or FW510-R12_contig_1_2329", +"gene_reaction_rule":"FW510-R12_contig_1_2329 or FW510-R12_contig_1_255", "notes":{ "modelseed_complex":"tcpx00827" }, @@ -31215,7 +31172,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1753 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1377) or FW510-R12_contig_1_382", +"gene_reaction_rule":"FW510-R12_contig_1_382 or (FW510-R12_contig_1_1377 or FW510-R12_contig_1_442 or FW510-R12_contig_1_1753)", "notes":{ "modelseed_complex":"cpx52483;tcpx00355" }, @@ -31377,7 +31334,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1485 or (FW510-R12_contig_1_132 or FW510-R12_contig_1_293)", +"gene_reaction_rule":"FW510-R12_contig_1_1485 or (FW510-R12_contig_1_293 or FW510-R12_contig_1_132)", "notes":{ "modelseed_complex":"cpx00115;cpx00116" }, @@ -31416,7 +31373,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2638", +"gene_reaction_rule":"FW510-R12_contig_1_2638 or FW510-R12_contig_1_2110 or FW510-R12_contig_1_3234 or FW510-R12_contig_1_2078 or FW510-R12_contig_1_2643 or FW510-R12_contig_1_2366", "notes":{ "modelseed_complex":"cpx00206" }, @@ -31503,7 +31460,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1802 or FW510-R12_contig_1_2081 or FW510-R12_contig_1_1015 or FW510-R12_contig_1_1090 or FW510-R12_contig_1_2341 or FW510-R12_contig_1_2602", +"gene_reaction_rule":"FW510-R12_contig_1_1015 or FW510-R12_contig_1_2081 or FW510-R12_contig_1_1090 or FW510-R12_contig_1_2602 or FW510-R12_contig_1_2341 or FW510-R12_contig_1_1802", "notes":{ "modelseed_complex":"tcpx01089" }, @@ -31525,7 +31482,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_255 or FW510-R12_contig_1_2329", +"gene_reaction_rule":"FW510-R12_contig_1_2329 or FW510-R12_contig_1_255", "notes":{ "modelseed_complex":"tcpx00827" }, @@ -31647,7 +31604,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2448 or FW510-R12_contig_1_1859 or FW510-R12_contig_1_1832", +"gene_reaction_rule":"FW510-R12_contig_1_1832 or FW510-R12_contig_1_1859 or FW510-R12_contig_1_2448", "notes":{ "modelseed_complex":"cpx00571" }, @@ -32121,7 +32078,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1320 or FW510-R12_contig_1_2888", +"gene_reaction_rule":"FW510-R12_contig_1_2888 or FW510-R12_contig_1_1320", "notes":{ "modelseed_complex":"cpx52441;cpx52442" }, @@ -32141,7 +32098,7 @@ }, "lower_bound":-1000, "upper_bound":0, -"gene_reaction_rule":"(FW510-R12_contig_1_2626 or FW510-R12_contig_1_2077 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_2111 or FW510-R12_contig_1_3540) or FW510-R12_contig_1_2210", +"gene_reaction_rule":"FW510-R12_contig_1_2210 or (FW510-R12_contig_1_2111 or FW510-R12_contig_1_2626 or FW510-R12_contig_1_2683 or FW510-R12_contig_1_3540 or FW510-R12_contig_1_2077)", "notes":{ "modelseed_complex":"cpx00454;tcpx00072" }, @@ -32224,7 +32181,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3435 or FW510-R12_contig_1_2379", +"gene_reaction_rule":"FW510-R12_contig_1_2379 or FW510-R12_contig_1_3435", "notes":{ "modelseed_complex":"cpx00595" }, @@ -32330,7 +32287,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_3553 or FW510-R12_contig_1_138 or FW510-R12_contig_1_3552", +"gene_reaction_rule":"FW510-R12_contig_1_3553 or FW510-R12_contig_1_3552 or FW510-R12_contig_1_138", "notes":{ "modelseed_complex":"cpx00354" }, @@ -32350,7 +32307,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_1331 or FW510-R12_contig_1_938) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3492 or (FW510-R12_contig_1_599 or FW510-R12_contig_1_1052)", +"gene_reaction_rule":"(FW510-R12_contig_1_1052 or FW510-R12_contig_1_599) or (FW510-R12_contig_1_938 or FW510-R12_contig_1_1331) or FW510-R12_contig_1_1168 or FW510-R12_contig_1_1168 or FW510-R12_contig_1_3174 or FW510-R12_contig_1_3492", "notes":{ "modelseed_complex":"cpx00045;cpx00046;cpx00048;cpx00050;cpx00051;cpx00052" }, @@ -32455,7 +32412,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2669 or FW510-R12_contig_1_2505", +"gene_reaction_rule":"FW510-R12_contig_1_2505 or FW510-R12_contig_1_2669", "notes":{ "modelseed_complex":"tcpx00930" }, @@ -32518,7 +32475,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2679 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_19 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2084", +"gene_reaction_rule":"FW510-R12_contig_1_2084 or FW510-R12_contig_1_19 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2679", "notes":{ "modelseed_complex":"cpx00498" }, @@ -32789,7 +32746,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2806 or FW510-R12_contig_1_2313", +"gene_reaction_rule":"FW510-R12_contig_1_2313 or FW510-R12_contig_1_2806", "notes":{ "modelseed_complex":"cpx01676" }, @@ -32850,7 +32807,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1754 or FW510-R12_contig_1_2887 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", +"gene_reaction_rule":"FW510-R12_contig_1_2887 or FW510-R12_contig_1_1754 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", "notes":{ "modelseed_complex":"cpx00289;tcpx00137;tcpx00139;tcpx00150" }, @@ -32936,7 +32893,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2679 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_19 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2084", +"gene_reaction_rule":"FW510-R12_contig_1_2084 or FW510-R12_contig_1_19 or FW510-R12_contig_1_2074 or FW510-R12_contig_1_1839 or FW510-R12_contig_1_2679", "notes":{ "modelseed_complex":"cpx00498" }, @@ -33017,7 +32974,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_698 or FW510-R12_contig_1_1671 or (FW510-R12_contig_1_2448 or FW510-R12_contig_1_1859 or FW510-R12_contig_1_1832)", +"gene_reaction_rule":"FW510-R12_contig_1_1671 or (FW510-R12_contig_1_1832 or FW510-R12_contig_1_1859 or FW510-R12_contig_1_2448) or FW510-R12_contig_1_698", "notes":{ "modelseed_complex":"cpx00571;cpx01690;tcpx01256" }, @@ -33286,7 +33243,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1022 or FW510-R12_contig_1_3182", +"gene_reaction_rule":"FW510-R12_contig_1_3182 or FW510-R12_contig_1_1022", "notes":{ "modelseed_complex":"cpx00910;cpx52754" }, @@ -33325,7 +33282,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1754 or FW510-R12_contig_1_2887 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", +"gene_reaction_rule":"FW510-R12_contig_1_2887 or FW510-R12_contig_1_1754 or FW510-R12_contig_1_452 or FW510-R12_contig_1_451", "notes":{ "modelseed_complex":"cpx00289;tcpx00137;tcpx00139;tcpx00150" }, @@ -33388,7 +33345,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_765 or FW510-R12_contig_1_371", +"gene_reaction_rule":"FW510-R12_contig_1_371 or FW510-R12_contig_1_765", "notes":{ "modelseed_complex":"cpx00853" }, @@ -33470,7 +33427,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1022 or FW510-R12_contig_1_3182", +"gene_reaction_rule":"FW510-R12_contig_1_3182 or FW510-R12_contig_1_1022", "notes":{ "modelseed_complex":"cpx00910;cpx52754" }, @@ -33532,7 +33489,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"(FW510-R12_contig_1_933 or FW510-R12_contig_1_930) or FW510-R12_contig_1_1495", +"gene_reaction_rule":"FW510-R12_contig_1_1495 or (FW510-R12_contig_1_930 or FW510-R12_contig_1_933)", "notes":{ "modelseed_complex":"tcpx00389;tcpx01349" }, @@ -33614,7 +33571,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1997 and FW510-R12_contig_1_1998 and (FW510-R12_contig_1_2018 or FW510-R12_contig_1_2001) and FW510-R12_contig_1_1999 and FW510-R12_contig_1_2000", +"gene_reaction_rule":"FW510-R12_contig_1_1997 and FW510-R12_contig_1_1998 and (FW510-R12_contig_1_2001 or FW510-R12_contig_1_2018) and FW510-R12_contig_1_1999 and FW510-R12_contig_1_2000", "notes":{ "modelseed_complex":"tcpx00520" }, @@ -33637,7 +33594,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_1997 and FW510-R12_contig_1_1998 and (FW510-R12_contig_1_2018 or FW510-R12_contig_1_2001) and FW510-R12_contig_1_1999 and FW510-R12_contig_1_2000", +"gene_reaction_rule":"FW510-R12_contig_1_1997 and FW510-R12_contig_1_1998 and (FW510-R12_contig_1_2001 or FW510-R12_contig_1_2018) and FW510-R12_contig_1_1999 and FW510-R12_contig_1_2000", "notes":{ "modelseed_complex":"tcpx00520" }, @@ -33647,28 +33604,6 @@ } }, { -"id":"rxn14427_c0", -"name":"Nitrate reductase cytochrome-c type (2 protons translocated) [c0]", -"metabolites":{ -"cpd00001_c0":1, -"cpd00067_e0":-3, -"cpd00075_c0":1, -"cpd00109_c0":1, -"cpd00110_c0":-1, -"cpd00209_c0":-1 -}, -"lower_bound":0, -"upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2871 and FW510-R12_contig_1_2869 and FW510-R12_contig_1_2870 and FW510-R12_contig_1_2872", -"notes":{ -"modelseed_complex":"tcpx00695" -}, -"annotation":{ -"sbo":"SBO:0000176", -"seed.reaction":"rxn14427" -} -}, -{ "id":"rxn14419_c0", "name":"cytochrome-bd oxidase (2 protons translocated) [c0]", "metabolites":{ @@ -33975,7 +33910,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_260 and (FW510-R12_contig_1_257 or FW510-R12_contig_1_2848) and FW510-R12_contig_1_258", +"gene_reaction_rule":"FW510-R12_contig_1_260 and (FW510-R12_contig_1_2848 or FW510-R12_contig_1_257) and FW510-R12_contig_1_258", "notes":{ "modelseed_complex":"tcpx00745" }, @@ -33995,7 +33930,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2867 or FW510-R12_contig_1_2866", +"gene_reaction_rule":"FW510-R12_contig_1_2866 or FW510-R12_contig_1_2867", "notes":{ "modelseed_complex":"tcpx00608;tcpx00611" }, @@ -34017,7 +33952,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_765 or FW510-R12_contig_1_371", +"gene_reaction_rule":"FW510-R12_contig_1_371 or FW510-R12_contig_1_765", "notes":{ "modelseed_complex":"cpx00853" }, @@ -34856,7 +34791,7 @@ }, "lower_bound":-1000, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2806 or FW510-R12_contig_1_2313", +"gene_reaction_rule":"FW510-R12_contig_1_2313 or FW510-R12_contig_1_2806", "notes":{ "modelseed_complex":"cpx01676" }, @@ -35280,7 +35215,7 @@ }, "lower_bound":0, "upper_bound":1000, -"gene_reaction_rule":"FW510-R12_contig_1_2895 or FW510-R12_contig_1_3383", +"gene_reaction_rule":"FW510-R12_contig_1_3383 or FW510-R12_contig_1_2895", "notes":{ "modelseed_complex":"cpx01186" }, @@ -35294,11 +35229,10 @@ "name":"Nor [c0]", "metabolites":{ "cpd00001_e0":1, -"cpd00067_e0":-2, "cpd00418_e0":-2, "cpd00659_e0":1, -"cpd12711_c0":2, -"cpd12712_c0":-2 +"cpd15560_c0":1, +"cpd15561_c0":-1 }, "lower_bound":0, "upper_bound":1000, @@ -36763,20 +36697,6 @@ } }, { -"id":"EX_cpd00528_e0", -"name":"Exchange for N2 [e0]", -"metabolites":{ -"cpd00528_e0":-1 -}, -"lower_bound":-0.0, -"upper_bound":1000, -"gene_reaction_rule":"", -"subsystem":"exchanges", -"annotation":{ -"sbo":"SBO:0000627" -} -}, -{ "id":"EX_cpd01080_e0", "name":"Exchange for ocdca [e0]", "metabolites":{ @@ -37015,6 +36935,20 @@ } }, { +"id":"EX_cpd00528_e0", +"name":"Exchange for N2 [e0]", +"metabolites":{ +"cpd00528_e0":-1 +}, +"lower_bound":-0.0, +"upper_bound":1000, +"gene_reaction_rule":"", +"subsystem":"exchanges", +"annotation":{ +"sbo":"SBO:0000627" +} +}, +{ "id":"EX_cpd00020_e0", "name":"Exchange for Pyruvate [e0]", "metabolites":{ @@ -37430,6 +37364,27 @@ } }, { +"id":"rxn09427_c0", +"name":"fatty-acyl-CoA synthase (n-C18:0CoA) [c0]", +"metabolites":{ +"cpd00001_c0":1, +"cpd00005_c0":-2, +"cpd00006_c0":2, +"cpd00010_c0":1, +"cpd00011_c0":1, +"cpd00067_c0":-3, +"cpd00070_c0":-1, +"cpd00134_c0":-1, +"cpd00327_c0":1 +}, +"lower_bound":0, +"upper_bound":1000, +"gene_reaction_rule":"", +"annotation":{ +"seed.reaction":"rxn09427" +} +}, +{ "id":"rxn05039_c0", "name":"R07280 [c0]", "metabolites":{ @@ -37462,6 +37417,21 @@ } }, { +"id":"rxn08706_c0", +"name":"hexadecenoyl-coa cis-trans isomerization [c0]", +"metabolites":{ +"cpd00067_c0":1, +"cpd03126_c0":1, +"cpd15238_c0":-1 +}, +"lower_bound":0, +"upper_bound":1000, +"gene_reaction_rule":"", +"annotation":{ +"seed.reaction":"rxn08706" +} +}, +{ "id":"rxn05150_c0", "name":"zinc transport via ABC system [c0]", "metabolites":{ @@ -37481,6 +37451,30 @@ } }, { +"id":"rxn10663_c0", +"name":"Fatty acid oxidation (n-C16:1) [c0]", +"metabolites":{ +"cpd00001_c0":-7, +"cpd00002_c0":-1, +"cpd00003_c0":-7, +"cpd00004_c0":7, +"cpd00010_c0":-8, +"cpd00012_c0":1, +"cpd00015_c0":-6, +"cpd00018_c0":1, +"cpd00022_c0":8, +"cpd00067_c0":2, +"cpd00982_c0":6, +"cpd15237_c0":-1 +}, +"lower_bound":-1000, +"upper_bound":0, +"gene_reaction_rule":"", +"annotation":{ +"seed.reaction":"rxn10663" +} +}, +{ "id":"rxn00979_c0", "name":"glycolaldehyde:NAD+ oxidoreductase [c0]", "metabolites":{ @@ -37546,6 +37540,23 @@ } }, { +"id":"rxn05119_c0", +"name":"L-aspartate:NAD+ oxidoreductase (deaminating) [c0]", +"metabolites":{ +"cpd00003_c0":-1, +"cpd00004_c0":1, +"cpd00041_c0":-1, +"cpd00067_c0":2, +"cpd03470_c0":1 +}, +"lower_bound":0, +"upper_bound":1000, +"gene_reaction_rule":"", +"annotation":{ +"seed.reaction":"rxn05119" +} +}, +{ "id":"rxn10954_c0", "name":"Fatty acid biosynthesis (n-C18:0) [c0]", "metabolites":{ @@ -37878,23 +37889,6 @@ } }, { -"id":"rxn05117_c0", -"name":"L-aspartate:NADP+ oxidoreductase (deaminating) [c0]", -"metabolites":{ -"cpd00005_c0":1, -"cpd00006_c0":-1, -"cpd00041_c0":-1, -"cpd00067_c0":2, -"cpd03470_c0":1 -}, -"lower_bound":0, -"upper_bound":1000, -"gene_reaction_rule":"", -"annotation":{ -"seed.reaction":"rxn05117" -} -}, -{ "id":"rxn02897_c0", "name":"Nicotinate-nucleotide:dimethylbenzimidazole phospho-D-ribosyltransferase [c0]", "metabolites":{ @@ -38085,11 +38079,11 @@ ], "genes":[ { -"id":"FW510-R12_contig_1_2653", +"id":"FW510-R12_contig_1_2268", "name":"" }, { -"id":"FW510-R12_contig_1_2268", +"id":"FW510-R12_contig_1_2653", "name":"" }, { @@ -38137,15 +38131,15 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2679", +"id":"FW510-R12_contig_1_2084", "name":"" }, { -"id":"FW510-R12_contig_1_2074", +"id":"FW510-R12_contig_1_19", "name":"" }, { -"id":"FW510-R12_contig_1_19", +"id":"FW510-R12_contig_1_2074", "name":"" }, { @@ -38153,7 +38147,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2084", +"id":"FW510-R12_contig_1_2679", "name":"" }, { @@ -38165,11 +38159,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2867", +"id":"FW510-R12_contig_1_2866", "name":"" }, { -"id":"FW510-R12_contig_1_2866", +"id":"FW510-R12_contig_1_2867", "name":"" }, { @@ -38177,11 +38171,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_3042", +"id":"FW510-R12_contig_1_3047", "name":"" }, { -"id":"FW510-R12_contig_1_3047", +"id":"FW510-R12_contig_1_3042", "name":"" }, { @@ -38189,7 +38183,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2366", +"id":"FW510-R12_contig_1_2209", "name":"" }, { @@ -38201,7 +38195,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2209", +"id":"FW510-R12_contig_1_2366", "name":"" }, { @@ -38245,10 +38239,6 @@ "name":"" }, { -"id":"FW510-R12_contig_1_599", -"name":"" -}, -{ "id":"FW510-R12_contig_1_938", "name":"" }, @@ -38257,15 +38247,15 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1168", +"id":"FW510-R12_contig_1_599", "name":"" }, { -"id":"FW510-R12_contig_1_3174", +"id":"FW510-R12_contig_1_3492", "name":"" }, { -"id":"FW510-R12_contig_1_3492", +"id":"FW510-R12_contig_1_1168", "name":"" }, { @@ -38273,7 +38263,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_900", +"id":"FW510-R12_contig_1_3174", "name":"" }, { @@ -38281,6 +38271,10 @@ "name":"" }, { +"id":"FW510-R12_contig_1_900", +"name":"" +}, +{ "id":"FW510-R12_contig_1_2853", "name":"" }, @@ -38313,19 +38307,19 @@ "name":"" }, { -"id":"FW510-R12_contig_1_3551", +"id":"FW510-R12_contig_1_3058", "name":"" }, { -"id":"FW510-R12_contig_1_3461", +"id":"FW510-R12_contig_1_1576", "name":"" }, { -"id":"FW510-R12_contig_1_1582", +"id":"FW510-R12_contig_1_3461", "name":"" }, { -"id":"FW510-R12_contig_1_1398", +"id":"FW510-R12_contig_1_1514", "name":"" }, { @@ -38333,31 +38327,31 @@ "name":"" }, { -"id":"FW510-R12_contig_1_3543", +"id":"FW510-R12_contig_1_1582", "name":"" }, { -"id":"FW510-R12_contig_1_1086", +"id":"FW510-R12_contig_1_3543", "name":"" }, { -"id":"FW510-R12_contig_1_1514", +"id":"FW510-R12_contig_1_3551", "name":"" }, { -"id":"FW510-R12_contig_1_695", +"id":"FW510-R12_contig_1_1398", "name":"" }, { -"id":"FW510-R12_contig_1_1436", +"id":"FW510-R12_contig_1_1086", "name":"" }, { -"id":"FW510-R12_contig_1_1576", +"id":"FW510-R12_contig_1_1436", "name":"" }, { -"id":"FW510-R12_contig_1_3058", +"id":"FW510-R12_contig_1_695", "name":"" }, { @@ -38381,11 +38375,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2723", +"id":"FW510-R12_contig_1_2722", "name":"" }, { -"id":"FW510-R12_contig_1_2722", +"id":"FW510-R12_contig_1_2723", "name":"" }, { @@ -38425,22 +38419,6 @@ "name":"" }, { -"id":"FW510-R12_contig_1_3392", -"name":"" -}, -{ -"id":"FW510-R12_contig_1_2475", -"name":"" -}, -{ -"id":"FW510-R12_contig_1_2476", -"name":"" -}, -{ -"id":"FW510-R12_contig_1_3393", -"name":"" -}, -{ "id":"FW510-R12_contig_1_715", "name":"" }, @@ -38457,11 +38435,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2888", +"id":"FW510-R12_contig_1_1320", "name":"" }, { -"id":"FW510-R12_contig_1_1320", +"id":"FW510-R12_contig_1_2888", "name":"" }, { @@ -38513,11 +38491,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1986", +"id":"FW510-R12_contig_1_3069", "name":"" }, { -"id":"FW510-R12_contig_1_3069", +"id":"FW510-R12_contig_1_1986", "name":"" }, { @@ -38525,11 +38503,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_765", +"id":"FW510-R12_contig_1_371", "name":"" }, { -"id":"FW510-R12_contig_1_371", +"id":"FW510-R12_contig_1_765", "name":"" }, { @@ -38561,7 +38539,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2421", +"id":"FW510-R12_contig_1_2855", "name":"" }, { @@ -38569,7 +38547,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2855", +"id":"FW510-R12_contig_1_2421", "name":"" }, { @@ -38597,7 +38575,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1754", +"id":"FW510-R12_contig_1_2887", "name":"" }, { @@ -38605,11 +38583,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2887", +"id":"FW510-R12_contig_1_452", "name":"" }, { -"id":"FW510-R12_contig_1_452", +"id":"FW510-R12_contig_1_1754", "name":"" }, { @@ -38621,27 +38599,27 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2626", +"id":"FW510-R12_contig_1_2111", "name":"" }, { -"id":"FW510-R12_contig_1_2077", +"id":"FW510-R12_contig_1_2626", "name":"" }, { -"id":"FW510-R12_contig_1_2683", +"id":"FW510-R12_contig_1_3540", "name":"" }, { -"id":"FW510-R12_contig_1_2210", +"id":"FW510-R12_contig_1_2683", "name":"" }, { -"id":"FW510-R12_contig_1_2111", +"id":"FW510-R12_contig_1_2210", "name":"" }, { -"id":"FW510-R12_contig_1_3540", +"id":"FW510-R12_contig_1_2077", "name":"" }, { @@ -38649,11 +38627,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_941", +"id":"FW510-R12_contig_1_1815", "name":"" }, { -"id":"FW510-R12_contig_1_1815", +"id":"FW510-R12_contig_1_941", "name":"" }, { @@ -38673,7 +38651,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1753", +"id":"FW510-R12_contig_1_1377", "name":"" }, { @@ -38681,7 +38659,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1377", +"id":"FW510-R12_contig_1_1753", "name":"" }, { @@ -38693,11 +38671,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_323", +"id":"FW510-R12_contig_1_325", "name":"" }, { -"id":"FW510-R12_contig_1_325", +"id":"FW510-R12_contig_1_323", "name":"" }, { @@ -38717,11 +38695,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_923", +"id":"FW510-R12_contig_1_2102", "name":"" }, { -"id":"FW510-R12_contig_1_2102", +"id":"FW510-R12_contig_1_2086", "name":"" }, { @@ -38729,19 +38707,19 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2086", +"id":"FW510-R12_contig_1_923", "name":"" }, { -"id":"FW510-R12_contig_1_2562", +"id":"FW510-R12_contig_1_2684", "name":"" }, { -"id":"FW510-R12_contig_1_2684", +"id":"FW510-R12_contig_1_2087", "name":"" }, { -"id":"FW510-R12_contig_1_2087", +"id":"FW510-R12_contig_1_2076", "name":"" }, { @@ -38749,7 +38727,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2076", +"id":"FW510-R12_contig_1_2562", "name":"" }, { @@ -38765,11 +38743,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_3159", +"id":"FW510-R12_contig_1_3160", "name":"" }, { -"id":"FW510-R12_contig_1_3160", +"id":"FW510-R12_contig_1_3159", "name":"" }, { @@ -38777,11 +38755,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1597", +"id":"FW510-R12_contig_1_2148", "name":"" }, { -"id":"FW510-R12_contig_1_2148", +"id":"FW510-R12_contig_2_84", "name":"" }, { @@ -38789,7 +38767,7 @@ "name":"" }, { -"id":"FW510-R12_contig_2_84", +"id":"FW510-R12_contig_1_1597", "name":"" }, { @@ -38833,7 +38811,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1724", +"id":"FW510-R12_contig_1_3224", "name":"" }, { @@ -38841,7 +38819,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_3224", +"id":"FW510-R12_contig_1_1724", "name":"" }, { @@ -38925,11 +38903,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_3182", +"id":"FW510-R12_contig_1_1022", "name":"" }, { -"id":"FW510-R12_contig_1_1022", +"id":"FW510-R12_contig_1_3182", "name":"" }, { @@ -38945,11 +38923,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1672", +"id":"FW510-R12_contig_1_1155", "name":"" }, { -"id":"FW510-R12_contig_1_1155", +"id":"FW510-R12_contig_1_1672", "name":"" }, { @@ -38961,7 +38939,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1802", +"id":"FW510-R12_contig_1_1015", "name":"" }, { @@ -38969,11 +38947,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1015", +"id":"FW510-R12_contig_1_1090", "name":"" }, { -"id":"FW510-R12_contig_1_1090", +"id":"FW510-R12_contig_1_2602", "name":"" }, { @@ -38981,7 +38959,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2602", +"id":"FW510-R12_contig_1_1802", "name":"" }, { @@ -39001,15 +38979,15 @@ "name":"" }, { -"id":"FW510-R12_contig_1_132", +"id":"FW510-R12_contig_1_1485", "name":"" }, { -"id":"FW510-R12_contig_1_1485", +"id":"FW510-R12_contig_1_293", "name":"" }, { -"id":"FW510-R12_contig_1_293", +"id":"FW510-R12_contig_1_132", "name":"" }, { @@ -39049,11 +39027,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_3343", +"id":"FW510-R12_contig_1_3361", "name":"" }, { -"id":"FW510-R12_contig_1_3361", +"id":"FW510-R12_contig_1_3343", "name":"" }, { @@ -39189,43 +39167,43 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1100", +"id":"FW510-R12_contig_1_1105", "name":"" }, { -"id":"FW510-R12_contig_1_113", +"id":"FW510-R12_contig_1_1911", "name":"" }, { -"id":"FW510-R12_contig_1_1908", +"id":"FW510-R12_contig_1_3490", "name":"" }, { -"id":"FW510-R12_contig_1_998", +"id":"FW510-R12_contig_1_1909", "name":"" }, { -"id":"FW510-R12_contig_1_1910", +"id":"FW510-R12_contig_1_998", "name":"" }, { -"id":"FW510-R12_contig_1_1909", +"id":"FW510-R12_contig_1_1103", "name":"" }, { -"id":"FW510-R12_contig_1_1911", +"id":"FW510-R12_contig_1_113", "name":"" }, { -"id":"FW510-R12_contig_1_3490", +"id":"FW510-R12_contig_1_1908", "name":"" }, { -"id":"FW510-R12_contig_1_1105", +"id":"FW510-R12_contig_1_1100", "name":"" }, { -"id":"FW510-R12_contig_1_1103", +"id":"FW510-R12_contig_1_1910", "name":"" }, { @@ -39337,11 +39315,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_626", +"id":"FW510-R12_contig_1_3249", "name":"" }, { -"id":"FW510-R12_contig_1_3249", +"id":"FW510-R12_contig_1_626", "name":"" }, { @@ -39433,11 +39411,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2907", +"id":"FW510-R12_contig_1_2884", "name":"" }, { -"id":"FW510-R12_contig_1_2884", +"id":"FW510-R12_contig_1_2907", "name":"" }, { @@ -39453,11 +39431,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1008", +"id":"FW510-R12_contig_1_1007", "name":"" }, { -"id":"FW510-R12_contig_1_1007", +"id":"FW510-R12_contig_1_1008", "name":"" }, { @@ -39529,7 +39507,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2448", +"id":"FW510-R12_contig_1_1832", "name":"" }, { @@ -39537,7 +39515,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1832", +"id":"FW510-R12_contig_1_2448", "name":"" }, { @@ -39581,307 +39559,307 @@ "name":"" }, { -"id":"FW510-R12_contig_1_379", +"id":"FW510-R12_contig_1_3563", "name":"" }, { -"id":"FW510-R12_contig_1_1275", +"id":"FW510-R12_contig_1_1254", "name":"" }, { -"id":"FW510-R12_contig_1_1285", +"id":"FW510-R12_contig_1_1270", "name":"" }, { -"id":"FW510-R12_contig_1_1340", +"id":"FW510-R12_contig_1_1749", "name":"" }, { -"id":"FW510-R12_contig_1_1335", +"id":"FW510-R12_contig_1_3524", "name":"" }, { -"id":"FW510-R12_contig_1_1272", +"id":"FW510-R12_contig_1_1342", "name":"" }, { -"id":"FW510-R12_contig_1_3327", +"id":"FW510-R12_contig_1_1476", "name":"" }, { -"id":"FW510-R12_contig_1_1342", +"id":"FW510-R12_contig_1_2675", "name":"" }, { -"id":"FW510-R12_contig_1_1489", +"id":"FW510-R12_contig_1_1255", "name":"" }, { -"id":"FW510-R12_contig_1_2301", +"id":"FW510-R12_contig_1_1339", "name":"" }, { -"id":"FW510-R12_contig_1_1280", +"id":"FW510-R12_contig_1_1275", "name":"" }, { -"id":"FW510-R12_contig_1_1273", +"id":"FW510-R12_contig_1_1340", "name":"" }, { -"id":"FW510-R12_contig_1_1281", +"id":"FW510-R12_contig_1_1259", "name":"" }, { -"id":"FW510-R12_contig_1_2633", +"id":"FW510-R12_contig_1_1269", "name":"" }, { -"id":"FW510-R12_contig_1_1476", +"id":"FW510-R12_contig_1_1265", "name":"" }, { -"id":"FW510-R12_contig_1_730", +"id":"FW510-R12_contig_1_1279", "name":"" }, { -"id":"FW510-R12_contig_1_1419", +"id":"FW510-R12_contig_1_1466", "name":"" }, { -"id":"FW510-R12_contig_1_3563", +"id":"FW510-R12_contig_1_1281", "name":"" }, { -"id":"FW510-R12_contig_1_3412", +"id":"FW510-R12_contig_1_1526", "name":"" }, { -"id":"FW510-R12_contig_1_1279", +"id":"FW510-R12_contig_1_1285", "name":"" }, { -"id":"FW510-R12_contig_1_1466", +"id":"FW510-R12_contig_1_1341", "name":"" }, { -"id":"FW510-R12_contig_1_1119", +"id":"FW510-R12_contig_1_2632", "name":"" }, { -"id":"FW510-R12_contig_1_1311", +"id":"FW510-R12_contig_1_731", "name":"" }, { -"id":"FW510-R12_contig_1_1287", +"id":"FW510-R12_contig_1_3290", "name":"" }, { -"id":"FW510-R12_contig_1_1269", +"id":"FW510-R12_contig_1_1274", "name":"" }, { -"id":"FW510-R12_contig_1_1731", +"id":"FW510-R12_contig_1_1468", "name":"" }, { -"id":"FW510-R12_contig_1_1253", +"id":"FW510-R12_contig_1_1266", "name":"" }, { -"id":"FW510-R12_contig_1_1341", +"id":"FW510-R12_contig_1_1268", "name":"" }, { -"id":"FW510-R12_contig_1_1256", +"id":"FW510-R12_contig_1_1260", "name":"" }, { -"id":"FW510-R12_contig_1_3290", +"id":"FW510-R12_contig_1_1263", "name":"" }, { -"id":"FW510-R12_contig_1_1940", +"id":"FW510-R12_contig_1_2301", "name":"" }, { -"id":"FW510-R12_contig_1_1254", +"id":"FW510-R12_contig_1_1286", "name":"" }, { -"id":"FW510-R12_contig_1_1270", +"id":"FW510-R12_contig_1_1330", "name":"" }, { -"id":"FW510-R12_contig_1_1749", +"id":"FW510-R12_contig_1_585", "name":"" }, { -"id":"FW510-R12_contig_1_378", +"id":"FW510-R12_contig_1_1791", "name":"" }, { -"id":"FW510-R12_contig_1_1467", +"id":"FW510-R12_contig_1_1620", "name":"" }, { -"id":"FW510-R12_contig_1_1286", +"id":"FW510-R12_contig_1_1244", "name":"" }, { -"id":"FW510-R12_contig_1_2675", +"id":"FW510-R12_contig_1_1273", "name":"" }, { -"id":"FW510-R12_contig_1_1276", +"id":"FW510-R12_contig_1_1277", "name":"" }, { -"id":"FW510-R12_contig_1_1464", +"id":"FW510-R12_contig_1_3412", "name":"" }, { -"id":"FW510-R12_contig_1_1526", +"id":"FW510-R12_contig_1_3327", "name":"" }, { -"id":"FW510-R12_contig_1_1531", +"id":"FW510-R12_contig_1_1271", "name":"" }, { -"id":"FW510-R12_contig_1_1277", +"id":"FW510-R12_contig_1_1280", "name":"" }, { -"id":"FW510-R12_contig_1_1259", +"id":"FW510-R12_contig_1_1119", "name":"" }, { -"id":"FW510-R12_contig_1_1255", +"id":"FW510-R12_contig_1_1464", "name":"" }, { -"id":"FW510-R12_contig_1_1620", +"id":"FW510-R12_contig_1_3512", "name":"" }, { -"id":"FW510-R12_contig_1_1289", +"id":"FW510-R12_contig_1_1264", "name":"" }, { -"id":"FW510-R12_contig_1_1282", +"id":"FW510-R12_contig_1_1335", "name":"" }, { -"id":"FW510-R12_contig_1_1265", +"id":"FW510-R12_contig_1_379", "name":"" }, { -"id":"FW510-R12_contig_1_585", +"id":"FW510-R12_contig_1_1253", "name":"" }, { -"id":"FW510-R12_contig_1_1263", +"id":"FW510-R12_contig_1_730", "name":"" }, { -"id":"FW510-R12_contig_1_1339", +"id":"FW510-R12_contig_1_1654", "name":"" }, { -"id":"FW510-R12_contig_1_3512", +"id":"FW510-R12_contig_1_1419", "name":"" }, { -"id":"FW510-R12_contig_1_1283", +"id":"FW510-R12_contig_1_1278", "name":"" }, { -"id":"FW510-R12_contig_1_275", +"id":"FW510-R12_contig_1_1276", "name":"" }, { -"id":"FW510-R12_contig_1_1244", +"id":"FW510-R12_contig_1_1287", "name":"" }, { -"id":"FW510-R12_contig_1_1274", +"id":"FW510-R12_contig_1_1489", "name":"" }, { -"id":"FW510-R12_contig_1_1330", +"id":"FW510-R12_contig_1_1473", "name":"" }, { -"id":"FW510-R12_contig_1_1278", +"id":"FW510-R12_contig_1_1940", "name":"" }, { -"id":"FW510-R12_contig_1_3524", +"id":"FW510-R12_contig_1_1311", "name":"" }, { -"id":"FW510-R12_contig_1_1271", +"id":"FW510-R12_contig_1_1289", "name":"" }, { -"id":"FW510-R12_contig_1_1267", +"id":"FW510-R12_contig_1_378", "name":"" }, { -"id":"FW510-R12_contig_1_1260", +"id":"FW510-R12_contig_1_275", "name":"" }, { -"id":"FW510-R12_contig_1_1473", +"id":"FW510-R12_contig_1_1531", "name":"" }, { -"id":"FW510-R12_contig_1_1021", +"id":"FW510-R12_contig_1_2633", "name":"" }, { -"id":"FW510-R12_contig_1_1654", +"id":"FW510-R12_contig_1_1272", "name":"" }, { -"id":"FW510-R12_contig_1_3328", +"id":"FW510-R12_contig_1_1467", "name":"" }, { -"id":"FW510-R12_contig_1_1266", +"id":"FW510-R12_contig_1_1282", "name":"" }, { -"id":"FW510-R12_contig_1_1468", +"id":"FW510-R12_contig_1_1267", "name":"" }, { -"id":"FW510-R12_contig_1_2632", +"id":"FW510-R12_contig_1_1731", "name":"" }, { -"id":"FW510-R12_contig_1_1268", +"id":"FW510-R12_contig_1_1283", "name":"" }, { -"id":"FW510-R12_contig_1_1791", +"id":"FW510-R12_contig_1_1021", "name":"" }, { -"id":"FW510-R12_contig_1_1264", +"id":"FW510-R12_contig_1_3328", "name":"" }, { -"id":"FW510-R12_contig_1_731", +"id":"FW510-R12_contig_1_1256", "name":"" }, { -"id":"FW510-R12_contig_1_2285", +"id":"FW510-R12_contig_1_2289", "name":"" }, { -"id":"FW510-R12_contig_1_2289", +"id":"FW510-R12_contig_1_2285", "name":"" }, { @@ -39889,11 +39867,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2705", +"id":"FW510-R12_contig_1_2488", "name":"" }, { -"id":"FW510-R12_contig_1_2488", +"id":"FW510-R12_contig_1_2705", "name":"" }, { @@ -39913,6 +39891,22 @@ "name":"" }, { +"id":"FW510-R12_contig_1_2475", +"name":"" +}, +{ +"id":"FW510-R12_contig_1_2476", +"name":"" +}, +{ +"id":"FW510-R12_contig_1_3392", +"name":"" +}, +{ +"id":"FW510-R12_contig_1_3393", +"name":"" +}, +{ "id":"FW510-R12_contig_1_3203", "name":"" }, @@ -39921,11 +39915,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2669", +"id":"FW510-R12_contig_1_2505", "name":"" }, { -"id":"FW510-R12_contig_1_2505", +"id":"FW510-R12_contig_1_2669", "name":"" }, { @@ -39941,7 +39935,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1771", +"id":"FW510-R12_contig_1_1764", +"name":"" +}, +{ +"id":"FW510-R12_contig_1_1768", "name":"" }, { @@ -39949,7 +39947,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1767", +"id":"FW510-R12_contig_1_1762", "name":"" }, { @@ -39957,7 +39955,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1764", +"id":"FW510-R12_contig_1_1765", "name":"" }, { @@ -39965,11 +39963,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1766", +"id":"FW510-R12_contig_1_1773", "name":"" }, { -"id":"FW510-R12_contig_1_1763", +"id":"FW510-R12_contig_1_1766", "name":"" }, { @@ -39977,23 +39975,19 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1772", -"name":"" -}, -{ -"id":"FW510-R12_contig_1_1768", +"id":"FW510-R12_contig_1_1763", "name":"" }, { -"id":"FW510-R12_contig_1_1762", +"id":"FW510-R12_contig_1_1771", "name":"" }, { -"id":"FW510-R12_contig_1_1765", +"id":"FW510-R12_contig_1_1767", "name":"" }, { -"id":"FW510-R12_contig_1_1773", +"id":"FW510-R12_contig_1_1772", "name":"" }, { @@ -40049,19 +40043,19 @@ "name":"" }, { -"id":"FW510-R12_contig_1_3222", +"id":"FW510-R12_contig_1_3221", "name":"" }, { -"id":"FW510-R12_contig_1_624", +"id":"FW510-R12_contig_1_625", "name":"" }, { -"id":"FW510-R12_contig_1_625", +"id":"FW510-R12_contig_1_3222", "name":"" }, { -"id":"FW510-R12_contig_1_3221", +"id":"FW510-R12_contig_1_624", "name":"" }, { @@ -40089,11 +40083,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2494", +"id":"FW510-R12_contig_1_2493", "name":"" }, { -"id":"FW510-R12_contig_1_2493", +"id":"FW510-R12_contig_1_2494", "name":"" }, { @@ -40101,15 +40095,15 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1946", +"id":"FW510-R12_contig_1_1689", "name":"" }, { -"id":"FW510-R12_contig_1_239", +"id":"FW510-R12_contig_1_1946", "name":"" }, { -"id":"FW510-R12_contig_1_1689", +"id":"FW510-R12_contig_1_239", "name":"" }, { @@ -40145,11 +40139,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_508", +"id":"FW510-R12_contig_1_2167", "name":"" }, { -"id":"FW510-R12_contig_1_2167", +"id":"FW510-R12_contig_1_508", "name":"" }, { @@ -40157,11 +40151,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1863", +"id":"FW510-R12_contig_1_1862", "name":"" }, { -"id":"FW510-R12_contig_1_1862", +"id":"FW510-R12_contig_1_1863", "name":"" }, { @@ -40237,11 +40231,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2239", +"id":"FW510-R12_contig_1_2238", "name":"" }, { -"id":"FW510-R12_contig_1_2238", +"id":"FW510-R12_contig_1_2239", "name":"" }, { @@ -40261,11 +40255,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_933", +"id":"FW510-R12_contig_1_1495", "name":"" }, { -"id":"FW510-R12_contig_1_1495", +"id":"FW510-R12_contig_1_933", "name":"" }, { @@ -40273,11 +40267,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2184", +"id":"FW510-R12_contig_1_2282", "name":"" }, { -"id":"FW510-R12_contig_1_2282", +"id":"FW510-R12_contig_1_2184", "name":"" }, { @@ -40289,11 +40283,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_674", +"id":"FW510-R12_contig_1_1667", "name":"" }, { -"id":"FW510-R12_contig_1_1667", +"id":"FW510-R12_contig_1_674", "name":"" }, { @@ -40305,10 +40299,6 @@ "name":"" }, { -"id":"FW510-R12_contig_1_14", -"name":"" -}, -{ "id":"FW510-R12_contig_1_13", "name":"" }, @@ -40321,6 +40311,10 @@ "name":"" }, { +"id":"FW510-R12_contig_1_14", +"name":"" +}, +{ "id":"FW510-R12_contig_1_1422", "name":"" }, @@ -40329,11 +40323,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_481", +"id":"FW510-R12_contig_1_482", "name":"" }, { -"id":"FW510-R12_contig_1_482", +"id":"FW510-R12_contig_1_481", "name":"" }, { @@ -40389,7 +40383,7 @@ "name":"" }, { -"id":"FW510-R12_contig_2_132", +"id":"FW510-R12_contig_1_1887", "name":"" }, { @@ -40397,7 +40391,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1887", +"id":"FW510-R12_contig_2_132", "name":"" }, { @@ -40413,11 +40407,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_619", +"id":"FW510-R12_contig_1_620", "name":"" }, { -"id":"FW510-R12_contig_1_620", +"id":"FW510-R12_contig_1_619", "name":"" }, { @@ -40437,15 +40431,15 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1301", +"id":"FW510-R12_contig_1_1502", "name":"" }, { -"id":"FW510-R12_contig_1_1502", +"id":"FW510-R12_contig_1_2349", "name":"" }, { -"id":"FW510-R12_contig_1_2349", +"id":"FW510-R12_contig_1_1301", "name":"" }, { @@ -40477,11 +40471,15 @@ "name":"" }, { +"id":"FW510-R12_contig_1_2376", +"name":"" +}, +{ "id":"FW510-R12_contig_1_1759", "name":"" }, { -"id":"FW510-R12_contig_1_1", +"id":"FW510-R12_contig_1_4", "name":"" }, { @@ -40489,35 +40487,35 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1738", +"id":"FW510-R12_contig_1_271", "name":"" }, { -"id":"FW510-R12_contig_1_4", +"id":"FW510-R12_contig_1_1836", "name":"" }, { -"id":"FW510-R12_contig_1_1315", +"id":"FW510-R12_contig_1_1837", "name":"" }, { -"id":"FW510-R12_contig_1_2376", +"id":"FW510-R12_contig_1_1797", "name":"" }, { -"id":"FW510-R12_contig_2_21", +"id":"FW510-R12_contig_1_1421", "name":"" }, { -"id":"FW510-R12_contig_1_1797", +"id":"FW510-R12_contig_1_1", "name":"" }, { -"id":"FW510-R12_contig_1_2", +"id":"FW510-R12_contig_2_21", "name":"" }, { -"id":"FW510-R12_contig_2_203", +"id":"FW510-R12_contig_1_2", "name":"" }, { @@ -40525,7 +40523,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1837", +"id":"FW510-R12_contig_1_1944", "name":"" }, { @@ -40533,23 +40531,19 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1944", -"name":"" -}, -{ -"id":"FW510-R12_contig_1_271", +"id":"FW510-R12_contig_1_793", "name":"" }, { -"id":"FW510-R12_contig_1_1421", +"id":"FW510-R12_contig_1_1315", "name":"" }, { -"id":"FW510-R12_contig_1_1836", +"id":"FW510-R12_contig_1_1738", "name":"" }, { -"id":"FW510-R12_contig_1_793", +"id":"FW510-R12_contig_2_203", "name":"" }, { @@ -40581,11 +40575,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1243", +"id":"FW510-R12_contig_1_2182", "name":"" }, { -"id":"FW510-R12_contig_1_2182", +"id":"FW510-R12_contig_1_1243", "name":"" }, { @@ -40597,11 +40591,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2389", +"id":"FW510-R12_contig_1_2388", "name":"" }, { -"id":"FW510-R12_contig_1_2388", +"id":"FW510-R12_contig_1_2389", "name":"" }, { @@ -40641,11 +40635,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_490", +"id":"FW510-R12_contig_1_1898", "name":"" }, { -"id":"FW510-R12_contig_1_1898", +"id":"FW510-R12_contig_1_490", "name":"" }, { @@ -40665,11 +40659,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1230", +"id":"FW510-R12_contig_1_744", "name":"" }, { -"id":"FW510-R12_contig_1_744", +"id":"FW510-R12_contig_1_1230", "name":"" }, { @@ -40681,11 +40675,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2191", +"id":"FW510-R12_contig_1_1957", "name":"" }, { -"id":"FW510-R12_contig_1_1957", +"id":"FW510-R12_contig_1_2191", "name":"" }, { @@ -40705,19 +40699,19 @@ "name":"" }, { -"id":"FW510-R12_contig_1_348", +"id":"FW510-R12_contig_1_221", "name":"" }, { -"id":"FW510-R12_contig_1_221", +"id":"FW510-R12_contig_1_348", "name":"" }, { -"id":"FW510-R12_contig_1_3053", +"id":"FW510-R12_contig_1_3052", "name":"" }, { -"id":"FW510-R12_contig_1_3052", +"id":"FW510-R12_contig_1_3053", "name":"" }, { @@ -40725,7 +40719,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1663", +"id":"FW510-R12_contig_1_2130", "name":"" }, { @@ -40733,27 +40727,27 @@ "name":"" }, { -"id":"FW510-R12_contig_1_3112", +"id":"FW510-R12_contig_1_2139", "name":"" }, { -"id":"FW510-R12_contig_2_92", +"id":"FW510-R12_contig_1_3112", "name":"" }, { -"id":"FW510-R12_contig_1_2130", +"id":"FW510-R12_contig_2_94", "name":"" }, { -"id":"FW510-R12_contig_1_2047", +"id":"FW510-R12_contig_1_1663", "name":"" }, { -"id":"FW510-R12_contig_1_2139", +"id":"FW510-R12_contig_1_2047", "name":"" }, { -"id":"FW510-R12_contig_2_94", +"id":"FW510-R12_contig_2_92", "name":"" }, { @@ -40773,11 +40767,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1483", +"id":"FW510-R12_contig_1_857", "name":"" }, { -"id":"FW510-R12_contig_1_857", +"id":"FW510-R12_contig_1_1483", "name":"" }, { @@ -40809,7 +40803,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1214", +"id":"FW510-R12_contig_1_1219", "name":"" }, { @@ -40817,7 +40811,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1219", +"id":"FW510-R12_contig_1_1214", "name":"" }, { @@ -40865,11 +40859,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_3368", +"id":"FW510-R12_contig_1_3558", "name":"" }, { -"id":"FW510-R12_contig_1_3558", +"id":"FW510-R12_contig_1_3368", "name":"" }, { @@ -40897,11 +40891,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_903", +"id":"FW510-R12_contig_1_902", "name":"" }, { -"id":"FW510-R12_contig_1_902", +"id":"FW510-R12_contig_1_903", "name":"" }, { @@ -40937,11 +40931,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_3391", +"id":"FW510-R12_contig_1_1841", "name":"" }, { -"id":"FW510-R12_contig_1_1841", +"id":"FW510-R12_contig_1_3391", "name":"" }, { @@ -40977,11 +40971,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1684", +"id":"FW510-R12_contig_1_3245", "name":"" }, { -"id":"FW510-R12_contig_1_3245", +"id":"FW510-R12_contig_1_1684", "name":"" }, { @@ -41013,15 +41007,15 @@ "name":"" }, { -"id":"FW510-R12_contig_1_3170", +"id":"FW510-R12_contig_1_222", "name":"" }, { -"id":"FW510-R12_contig_1_1179", +"id":"FW510-R12_contig_1_3170", "name":"" }, { -"id":"FW510-R12_contig_1_222", +"id":"FW510-R12_contig_1_1179", "name":"" }, { @@ -41033,11 +41027,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_859", +"id":"FW510-R12_contig_1_2576", "name":"" }, { -"id":"FW510-R12_contig_1_2576", +"id":"FW510-R12_contig_1_859", "name":"" }, { @@ -41069,31 +41063,31 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2357", +"id":"FW510-R12_contig_1_1257", "name":"" }, { -"id":"FW510-R12_contig_1_219", +"id":"FW510-R12_contig_1_1258", "name":"" }, { -"id":"FW510-R12_contig_1_1787", +"id":"FW510-R12_contig_1_1288", "name":"" }, { -"id":"FW510-R12_contig_1_3562", +"id":"FW510-R12_contig_1_219", "name":"" }, { -"id":"FW510-R12_contig_1_1258", +"id":"FW510-R12_contig_1_2357", "name":"" }, { -"id":"FW510-R12_contig_1_1288", +"id":"FW510-R12_contig_1_3562", "name":"" }, { -"id":"FW510-R12_contig_1_1257", +"id":"FW510-R12_contig_1_1787", "name":"" }, { @@ -41109,10 +41103,6 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2809", -"name":"" -}, -{ "id":"FW510-R12_contig_1_1319", "name":"" }, @@ -41121,11 +41111,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_255", +"id":"FW510-R12_contig_1_2329", "name":"" }, { -"id":"FW510-R12_contig_1_2329", +"id":"FW510-R12_contig_1_255", "name":"" }, { @@ -41201,11 +41191,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_3435", +"id":"FW510-R12_contig_1_2379", "name":"" }, { -"id":"FW510-R12_contig_1_2379", +"id":"FW510-R12_contig_1_3435", "name":"" }, { @@ -41229,11 +41219,11 @@ "name":"" }, { -"id":"FW510-R12_contig_1_138", +"id":"FW510-R12_contig_1_3552", "name":"" }, { -"id":"FW510-R12_contig_1_3552", +"id":"FW510-R12_contig_1_138", "name":"" }, { @@ -41253,19 +41243,19 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2806", +"id":"FW510-R12_contig_1_2313", "name":"" }, { -"id":"FW510-R12_contig_1_2313", +"id":"FW510-R12_contig_1_2806", "name":"" }, { -"id":"FW510-R12_contig_1_1401", +"id":"FW510-R12_contig_1_2815", "name":"" }, { -"id":"FW510-R12_contig_1_2815", +"id":"FW510-R12_contig_1_1401", "name":"" }, { @@ -41313,7 +41303,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2018", +"id":"FW510-R12_contig_1_2000", "name":"" }, { @@ -41321,14 +41311,6 @@ "name":"" }, { -"id":"FW510-R12_contig_1_1998", -"name":"" -}, -{ -"id":"FW510-R12_contig_1_2000", -"name":"" -}, -{ "id":"FW510-R12_contig_1_1999", "name":"" }, @@ -41337,27 +41319,27 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2870", +"id":"FW510-R12_contig_1_2018", "name":"" }, { -"id":"FW510-R12_contig_1_2872", +"id":"FW510-R12_contig_1_1998", "name":"" }, { -"id":"FW510-R12_contig_1_2871", +"id":"FW510-R12_contig_1_3317", "name":"" }, { -"id":"FW510-R12_contig_1_2869", +"id":"FW510-R12_contig_1_3316", "name":"" }, { -"id":"FW510-R12_contig_1_3316", +"id":"FW510-R12_contig_1_2319", "name":"" }, { -"id":"FW510-R12_contig_1_3317", +"id":"FW510-R12_contig_1_2321", "name":"" }, { @@ -41373,27 +41355,31 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2321", +"id":"FW510-R12_contig_1_1524", "name":"" }, { -"id":"FW510-R12_contig_1_2319", +"id":"FW510-R12_contig_1_142", "name":"" }, { -"id":"FW510-R12_contig_1_1524", +"id":"FW510-R12_contig_1_433", "name":"" }, { -"id":"FW510-R12_contig_1_142", +"id":"FW510-R12_contig_1_435", "name":"" }, { -"id":"FW510-R12_contig_1_437", +"id":"FW510-R12_contig_1_436", "name":"" }, { -"id":"FW510-R12_contig_1_438", +"id":"FW510-R12_contig_1_432", +"name":"" +}, +{ +"id":"FW510-R12_contig_1_431", "name":"" }, { @@ -41401,23 +41387,27 @@ "name":"" }, { -"id":"FW510-R12_contig_1_435", +"id":"FW510-R12_contig_1_438", "name":"" }, { -"id":"FW510-R12_contig_1_431", +"id":"FW510-R12_contig_1_437", "name":"" }, { -"id":"FW510-R12_contig_1_432", +"id":"FW510-R12_contig_1_2871", "name":"" }, { -"id":"FW510-R12_contig_1_433", +"id":"FW510-R12_contig_1_2869", "name":"" }, { -"id":"FW510-R12_contig_1_436", +"id":"FW510-R12_contig_1_2872", +"name":"" +}, +{ +"id":"FW510-R12_contig_1_2870", "name":"" }, { @@ -41429,7 +41419,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_258", +"id":"FW510-R12_contig_1_2848", "name":"" }, { @@ -41437,7 +41427,7 @@ "name":"" }, { -"id":"FW510-R12_contig_1_2848", +"id":"FW510-R12_contig_1_258", "name":"" }, { @@ -41537,11 +41527,15 @@ "name":"" }, { +"id":"FW510-R12_contig_1_3383", +"name":"" +}, +{ "id":"FW510-R12_contig_1_2895", "name":"" }, { -"id":"FW510-R12_contig_1_3383", +"id":"FW510-R12_contig_1_2809", "name":"" }, { diff --git a/Metabolic_modeling/data/model_rhoda_gf2.xml b/Metabolic_modeling/data/model_rhoda_gf2.xml new file mode 100644 index 0000000..7b38141 --- /dev/null +++ b/Metabolic_modeling/data/model_rhoda_gf2.xml @@ -0,0 +1,54741 @@ + + + + + +

kbase_compartment_data_c0: {'pH': 7, 'potential': 0, 'compartmentIndex': '0'}

+

kbase_compartment_data_e0: {'pH': 7, 'potential': 0, 'compartmentIndex': '0'}

+ + + + + + + + + + + + + + + + + + + +

modelseed_template_id: cpd00443_c

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modelseed_template_id: cpd02920_c

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modelseed_template_id: cpd00012_c

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modelseed_template_id: cpd00067_c

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modelseed_template_id: cpd00683_c

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modelseed_template_id: cpd00002_c

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modelseed_template_id: cpd00033_c

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modelseed_template_id: cpd00506_c

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modelseed_template_id: cpd00008_c

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modelseed_template_id: cpd00009_c

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modelseed_template_id: cpd00042_c

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modelseed_template_id: cpd00213_c

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modelseed_template_id: cpd14700_c

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modelseed_template_id: cpd00056_c

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modelseed_template_id: cpd02700_c

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modelseed_template_id: cpd00114_c

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modelseed_template_id: cpd00103_c

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modelseed_template_id: cpd00226_c

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modelseed_template_id: cpd00067_e

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modelseed_template_id: cpd00182_e

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modelseed_template_id: cpd00182_c

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modelseed_template_id: cpd00046_c

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modelseed_template_id: cpd00096_c

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modelseed_template_id: cpd00106_e

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modelseed_template_id: cpd00106_c

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modelseed_template_id: cpd00037_c

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modelseed_template_id: cpd03494_c

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modelseed_template_id: cpd00014_c

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modelseed_template_id: cpd03495_c

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modelseed_template_id: cpd00001_c

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modelseed_template_id: cpd00658_c

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modelseed_template_id: cpd00020_c

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modelseed_template_id: cpd02566_c

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modelseed_template_id: cpd00010_c

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modelseed_template_id: cpd11440_c

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modelseed_template_id: cpd00018_c

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modelseed_template_id: cpd11441_c

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modelseed_template_id: cpd00023_c

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modelseed_template_id: cpd00084_c

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modelseed_template_id: cpd00533_c

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modelseed_template_id: cpd00356_c

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modelseed_template_id: cpd00075_e

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modelseed_template_id: cpd00075_c

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modelseed_template_id: cpd03049_c

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modelseed_template_id: cpd00836_c

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modelseed_template_id: cpd00179_c

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modelseed_template_id: cpd00027_c

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modelseed_template_id: cpd00521_c

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modelseed_template_id: cpd00522_c

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modelseed_template_id: cpd00003_c

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modelseed_template_id: cpd03113_c

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modelseed_template_id: cpd00004_c

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modelseed_template_id: cpd03114_c

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modelseed_template_id: cpd11466_c

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modelseed_template_id: cpd01695_c

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modelseed_template_id: cpd11493_c

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modelseed_template_id: cpd07923_c

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modelseed_template_id: cpd07924_c

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modelseed_template_id: cpd15495_c

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modelseed_template_id: cpd01399_c

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modelseed_template_id: cpd02557_c

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modelseed_template_id: cpd00113_c

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modelseed_template_id: cpd02590_c

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modelseed_template_id: cpd15269_c

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modelseed_template_id: cpd15349_c

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modelseed_template_id: cpd15541_c

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modelseed_template_id: cpd08289_c

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modelseed_template_id: cpd08449_c

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modelseed_template_id: cpd00478_c

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modelseed_template_id: cpd03187_c

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modelseed_template_id: cpd00011_c

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modelseed_template_id: cpd00024_c

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modelseed_template_id: cpd00246_c

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modelseed_template_id: cpd00475_c

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modelseed_template_id: cpd00054_c

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modelseed_template_id: cpd15688_c

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modelseed_template_id: cpd15694_c

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modelseed_template_id: cpd15721_c

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modelseed_template_id: cpd15727_c

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modelseed_template_id: cpd11589_c

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modelseed_template_id: cpd00041_c

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modelseed_template_id: cpd00038_c

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modelseed_template_id: cpd00048_c

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modelseed_template_id: cpd00031_c

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modelseed_template_id: cpd00193_c

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modelseed_template_id: cpd00029_c

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modelseed_template_id: cpd00022_c

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modelseed_template_id: cpd00206_c

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modelseed_template_id: cpd02227_c

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modelseed_template_id: cpd00135_c

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modelseed_template_id: cpd08636_c

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modelseed_template_id: cpd02375_c

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modelseed_template_id: cpd00052_c

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modelseed_template_id: cpd02201_c

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modelseed_template_id: cpd02666_c

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modelseed_template_id: cpd00026_c

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modelseed_template_id: cpd00144_c

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modelseed_template_id: cpd02097_c

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modelseed_template_id: cpd00007_c

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modelseed_template_id: cpd00077_c

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modelseed_template_id: cpd00518_c

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modelseed_template_id: cpd00201_c

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modelseed_template_id: cpd03524_c

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modelseed_template_id: cpd00477_c

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modelseed_template_id: cpd00654_c

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modelseed_template_id: cpd00036_e

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modelseed_template_id: cpd00036_c

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modelseed_template_id: cpd00072_c

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modelseed_template_id: cpd00290_c

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modelseed_template_id: cpd15317_c

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modelseed_template_id: cpd00908_c

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modelseed_template_id: cpd15237_c

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modelseed_template_id: cpd11576_e

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modelseed_template_id: cpd11576_c

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modelseed_template_id: cpd00062_c

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modelseed_template_id: cpd00805_c

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modelseed_template_id: cpd02371_c

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modelseed_template_id: cpd04097_c

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modelseed_template_id: cpd04097_e

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modelseed_template_id: cpd15540_c

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modelseed_template_id: cpd00100_c

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modelseed_template_id: cpd15793_c

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modelseed_template_id: cpd00807_c

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modelseed_template_id: cpd00930_c

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modelseed_template_id: cpd03414_c

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modelseed_template_id: cpd03416_c

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modelseed_template_id: cpd02961_c

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modelseed_template_id: cpd00229_c

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modelseed_template_id: cpd00954_c

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modelseed_template_id: cpd00013_c

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modelseed_template_id: cpd00025_c

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modelseed_template_id: cpd00032_c

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modelseed_template_id: cpd02851_c

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modelseed_template_id: cpd02506_c

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modelseed_template_id: cpd00080_c

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modelseed_template_id: cpd15686_c

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modelseed_template_id: cpd15719_c

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modelseed_template_id: cpd11439_c

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modelseed_template_id: cpd15675_c

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modelseed_template_id: cpd15331_c

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modelseed_template_id: cpd15522_c

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modelseed_template_id: cpd15682_c

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modelseed_template_id: cpd02498_c

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modelseed_template_id: cpd00123_c

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modelseed_template_id: cpd11483_c

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modelseed_template_id: cpd11471_c

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modelseed_template_id: cpd11432_c

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modelseed_template_id: cpd15671_c

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modelseed_template_id: cpd00171_c

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modelseed_template_id: cpd00047_c

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modelseed_template_id: cpd11225_c

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modelseed_template_id: cpd11513_c

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modelseed_template_id: cpd11514_c

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modelseed_template_id: cpd00033_e

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modelseed_template_id: cpd15298_c

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modelseed_template_id: cpd15338_c

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modelseed_template_id: cpd15530_c

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modelseed_template_id: cpd00208_c

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modelseed_template_id: cpd00108_c

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modelseed_template_id: cpd02333_c

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modelseed_template_id: cpd00095_c

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modelseed_template_id: cpd03470_c

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modelseed_template_id: cpd09879_c

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modelseed_template_id: cpd00759_c

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modelseed_template_id: cpd15685_c

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modelseed_template_id: cpd15691_c

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modelseed_template_id: cpd00817_c

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modelseed_template_id: cpd02511_c

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modelseed_template_id: cpd11505_c

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modelseed_template_id: cpd11506_c

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modelseed_template_id: cpd15506_c

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modelseed_template_id: cpd15505_c

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modelseed_template_id: cpd00012_e

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modelseed_template_id: cpd00810_c

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modelseed_template_id: cpd00091_c

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modelseed_template_id: cpd02654_c

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modelseed_template_id: cpd02894_c

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modelseed_template_id: cpd00793_c

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modelseed_template_id: cpd15350_c

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modelseed_template_id: cpd01741_c

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modelseed_template_id: cpd00006_c

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modelseed_template_id: cpd00345_c

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modelseed_template_id: cpd00005_c

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modelseed_template_id: cpd00125_c

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modelseed_template_id: cpd00424_c

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modelseed_template_id: cpd15308_c

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modelseed_template_id: cpd15523_c

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modelseed_template_id: cpd00061_c

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modelseed_template_id: cpd01030_e

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modelseed_template_id: cpd03698_c

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modelseed_template_id: cpd00530_c

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modelseed_template_id: cpd00497_c

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modelseed_template_id: cpd15702_c

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modelseed_template_id: cpd15678_c

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modelseed_template_id: cpd02210_c

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modelseed_template_id: cpd00102_c

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modelseed_template_id: cpd00359_c

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modelseed_template_id: cpd15325_c

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modelseed_template_id: cpd00418_e

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modelseed_template_id: cpd00659_e

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modelseed_template_id: cpd03002_c

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modelseed_template_id: cpd02993_c

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modelseed_template_id: cpd00773_c

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modelseed_template_id: cpd15387_c

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modelseed_template_id: cpd15579_c

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modelseed_template_id: cpd02730_c

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modelseed_template_id: cpd15605_c

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modelseed_template_id: cpd00066_c

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modelseed_template_id: cpd01977_c

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modelseed_template_id: cpd15422_c

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modelseed_template_id: cpd02065_c

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modelseed_template_id: cpd00035_c

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modelseed_template_id: cpd00483_c

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modelseed_template_id: cpd00493_c

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modelseed_template_id: cpd00016_c

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modelseed_template_id: cpd15357_c

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modelseed_template_id: cpd11464_c

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modelseed_template_id: cpd11492_c

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modelseed_template_id: cpd11486_c

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modelseed_template_id: cpd00119_c

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modelseed_template_id: cpd00581_c

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modelseed_template_id: cpd03124_c

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modelseed_template_id: cpd03121_c

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modelseed_template_id: cpd11522_c

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modelseed_template_id: cpd11523_c

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modelseed_template_id: cpd01012_c

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modelseed_template_id: cpd01012_e

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modelseed_template_id: cpd00268_c

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modelseed_template_id: cpd00722_c

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modelseed_template_id: cpd11421_c

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modelseed_template_id: cpd00081_c

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modelseed_template_id: cpd11420_c

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modelseed_template_id: cpd00053_c

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modelseed_template_id: cpd00132_c

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modelseed_template_id: cpd00819_c

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modelseed_template_id: cpd15423_c

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modelseed_template_id: cpd15553_c

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modelseed_template_id: cpd15418_c

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modelseed_template_id: cpd15341_c

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modelseed_template_id: cpd12848_c

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modelseed_template_id: cpd12543_c

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modelseed_template_id: cpd00219_c

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modelseed_template_id: cpd00288_c

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modelseed_template_id: cpd00971_e

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modelseed_template_id: cpd11571_c

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modelseed_template_id: cpd01651_c

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modelseed_template_id: cpd03407_c

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modelseed_template_id: cpd15322_c

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modelseed_template_id: cpd02090_c

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modelseed_template_id: cpd15398_c

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modelseed_template_id: cpd00122_c

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modelseed_template_id: cpd15401_c

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modelseed_template_id: cpd15343_c

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modelseed_template_id: cpd11836_c

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modelseed_template_id: cpd00275_c

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modelseed_template_id: cpd00957_c

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modelseed_template_id: cpd00449_c

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modelseed_template_id: cpd00481_c

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modelseed_template_id: cpd00143_c

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modelseed_template_id: cpd03480_c

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modelseed_template_id: cpd15327_c

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modelseed_template_id: cpd00822_c

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modelseed_template_id: cpd11484_c

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modelseed_template_id: cpd11467_c

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modelseed_template_id: cpd03518_c

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modelseed_template_id: cpd15268_c

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modelseed_template_id: cpd15329_c

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modelseed_template_id: cpd15704_c

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modelseed_template_id: cpd15680_c

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modelseed_template_id: cpd00086_c

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modelseed_template_id: cpd15753_c

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modelseed_template_id: cpd15771_c

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modelseed_template_id: cpd15419_c

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modelseed_template_id: cpd15545_c

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modelseed_template_id: cpd11474_c

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modelseed_template_id: cpd03118_c

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modelseed_template_id: cpd03449_c

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modelseed_template_id: cpd02068_c

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modelseed_template_id: cpd11476_c

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modelseed_template_id: cpd00134_c

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modelseed_template_id: cpd15312_c

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modelseed_template_id: cpd00875_c

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modelseed_template_id: cpd15524_c

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modelseed_template_id: cpd00843_c

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modelseed_template_id: cpd15606_c

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modelseed_template_id: cpd02229_c

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modelseed_template_id: cpd11437_c

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modelseed_template_id: cpd15674_c

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modelseed_template_id: cpd11491_c

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modelseed_template_id: cpd09253_c

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modelseed_template_id: cpd14698_c

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modelseed_template_id: cpd03487_c

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modelseed_template_id: cpd12689_c

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modelseed_template_id: cpd01777_c

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modelseed_template_id: cpd15569_c

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modelseed_template_id: cpd11485_c

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modelseed_template_id: cpd00812_c

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modelseed_template_id: cpd03492_c

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modelseed_template_id: cpd00790_c

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modelseed_template_id: cpd00861_c

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modelseed_template_id: cpd00108_e

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modelseed_template_id: cpd14703_c

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modelseed_template_id: cpd01262_c

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modelseed_template_id: cpd00978_c

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modelseed_template_id: cpd00358_c

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modelseed_template_id: cpd00890_c

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modelseed_template_id: cpd00073_c

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modelseed_template_id: cpd00482_c

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modelseed_template_id: cpd11586_c

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modelseed_template_id: cpd00133_c

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modelseed_template_id: cpd00218_c

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modelseed_template_id: cpd09255_c

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modelseed_template_id: cpd15344_c

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modelseed_template_id: cpd02678_c

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modelseed_template_id: cpd11209_c

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modelseed_template_id: cpd15692_c

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modelseed_template_id: cpd15698_c

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modelseed_template_id: cpd11593_c

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modelseed_template_id: cpd03572_c

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modelseed_template_id: cpd09844_c

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modelseed_template_id: cpd11574_e

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modelseed_template_id: cpd15170_c

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modelseed_template_id: cpd00800_c

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modelseed_template_id: cpd02701_c

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modelseed_template_id: cpd14545_c

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modelseed_template_id: cpd02125_c

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modelseed_template_id: cpd11825_c

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modelseed_template_id: cpd15726_c

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modelseed_template_id: cpd02642_c

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modelseed_template_id: cpd00956_c

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modelseed_template_id: cpd11538_c

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modelseed_template_id: cpd00738_c

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modelseed_template_id: cpd15677_c

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modelseed_template_id: cpd11435_c

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modelseed_template_id: cpd03646_c

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modelseed_template_id: cpd15371_c

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modelseed_template_id: cpd00780_c

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modelseed_template_id: cpd15717_c

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modelseed_template_id: cpd11206_c

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modelseed_template_id: cpd01882_c

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modelseed_template_id: cpd01966_c

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modelseed_template_id: cpd15536_c

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modelseed_template_id: cpd15359_c

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modelseed_template_id: cpd15752_c

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modelseed_template_id: cpd15770_c

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modelseed_template_id: cpd15676_c

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modelseed_template_id: cpd00289_c

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modelseed_template_id: cpd11572_c

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modelseed_template_id: cpd15683_c

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modelseed_template_id: cpd15689_c

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modelseed_template_id: cpd00946_c

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modelseed_template_id: cpd00965_c

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modelseed_template_id: cpd00531_c

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modelseed_template_id: cpd15558_c

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modelseed_template_id: cpd03490_c

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modelseed_template_id: cpd02597_c

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modelseed_template_id: cpd08210_c

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modelseed_template_id: cpd03736_c

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modelseed_template_id: cpd03586_c

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modelseed_template_id: cpd00222_c

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modelseed_template_id: cpd00480_c

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modelseed_template_id: cpd03122_c

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modelseed_template_id: cpd03123_c

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modelseed_template_id: cpd00386_e

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modelseed_template_id: cpd00386_c

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modelseed_template_id: cpd00727_c

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modelseed_template_id: cpd00139_c

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modelseed_template_id: cpd10515_c

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modelseed_template_id: cpd10516_c

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modelseed_template_id: cpd01157_c

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modelseed_template_id: cpd15534_c

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modelseed_template_id: cpd03897_c

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modelseed_template_id: cpd00294_c

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modelseed_template_id: cpd00079_c

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modelseed_template_id: cpd15294_c

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modelseed_template_id: cpd01570_c

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modelseed_template_id: cpd00988_c

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modelseed_template_id: cpd02782_c

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modelseed_template_id: cpd15672_c

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modelseed_template_id: cpd12237_c

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modelseed_template_id: cpd14507_c

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modelseed_template_id: cpd00157_c

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modelseed_template_id: cpd03702_c

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modelseed_template_id: cpd03701_c

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modelseed_template_id: cpd00307_c

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modelseed_template_id: cpd00434_c

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modelseed_template_id: cpd00281_c

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modelseed_template_id: cpd11431_c

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modelseed_template_id: cpd00209_e

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modelseed_template_id: cpd00209_c

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modelseed_template_id: cpd11584_c

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modelseed_template_id: cpd00851_c

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modelseed_template_id: cpd02069_c

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modelseed_template_id: cpd15696_c

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modelseed_template_id: cpd12225_c

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modelseed_template_id: cpd03585_c

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modelseed_template_id: cpd00794_e

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modelseed_template_id: cpd00523_c

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modelseed_template_id: cpd11591_c

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modelseed_template_id: cpd00085_c

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modelseed_template_id: cpd11477_c

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modelseed_template_id: cpd11497_c

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modelseed_template_id: cpd11498_c

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modelseed_template_id: cpd00254_c

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modelseed_template_id: cpd00254_e

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modelseed_template_id: cpd15315_c

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modelseed_template_id: cpd00408_c

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modelseed_template_id: cpd00712_c

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modelseed_template_id: cpd00331_c

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modelseed_template_id: cpd03671_c

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modelseed_template_id: cpd02611_c

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modelseed_template_id: cpd00837_c

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modelseed_template_id: cpd00264_c

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modelseed_template_id: cpd15748_c

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modelseed_template_id: cpd15766_c

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modelseed_template_id: cpd11436_c

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modelseed_template_id: cpd00557_c

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modelseed_template_id: cpd02211_c

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modelseed_template_id: cpd01311_c

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modelseed_template_id: cpd03812_c

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modelseed_template_id: cpd03813_c

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modelseed_template_id: cpd15554_c

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modelseed_template_id: cpd02113_c

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modelseed_template_id: cpd00448_c

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modelseed_template_id: cpd15326_c

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modelseed_template_id: cpd00268_e

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modelseed_template_id: cpd15319_c

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modelseed_template_id: cpd15754_c

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modelseed_template_id: cpd15772_c

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modelseed_template_id: cpd00274_c

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modelseed_template_id: cpd15362_c

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modelseed_template_id: cpd15508_c

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modelseed_template_id: cpd15507_c

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modelseed_template_id: cpd15585_c

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modelseed_template_id: cpd15514_c

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modelseed_template_id: cpd15306_c

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modelseed_template_id: cpd00330_c

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modelseed_template_id: cpd00393_c

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modelseed_template_id: cpd02569_c

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modelseed_template_id: cpd11590_c

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modelseed_template_id: cpd03444_c

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modelseed_template_id: cpd03445_c

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modelseed_template_id: cpd00858_c

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modelseed_template_id: cpd00925_c

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modelseed_template_id: cpd00666_c

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modelseed_template_id: cpd00283_c

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modelseed_template_id: cpd11296_c

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modelseed_template_id: cpd03496_c

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modelseed_template_id: cpd00137_c

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modelseed_template_id: cpd03282_c

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modelseed_template_id: cpd00186_c

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modelseed_template_id: cpd02968_c

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modelseed_template_id: cpd15666_c

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modelseed_template_id: cpd15665_c

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modelseed_template_id: cpd15340_c

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modelseed_template_id: cpd11462_c

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modelseed_template_id: cpd00620_c

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modelseed_template_id: cpd00977_c

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modelseed_template_id: cpd03704_c

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modelseed_template_id: cpd03279_c

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modelseed_template_id: cpd00976_c

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modelseed_template_id: cpd01504_c

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modelseed_template_id: cpd03125_c

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modelseed_template_id: cpd02135_c

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modelseed_template_id: cpd00646_c

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modelseed_template_id: cpd15695_c

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modelseed_template_id: cpd15368_c

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modelseed_template_id: cpd15570_c

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modelseed_template_id: cpd00098_c

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modelseed_template_id: cpd00447_c

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modelseed_template_id: cpd01080_e

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modelseed_template_id: cpd00782_c

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modelseed_template_id: cpd01107_c

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modelseed_template_id: cpd02465_c

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modelseed_template_id: cpd02724_c

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modelseed_template_id: cpd00371_c

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modelseed_template_id: cpd03559_c

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modelseed_template_id: cpd15385_c

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modelseed_template_id: cpd15388_c

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modelseed_template_id: cpd15747_c

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modelseed_template_id: cpd15765_c

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modelseed_template_id: cpd12072_c

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modelseed_template_id: cpd12139_c

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modelseed_template_id: cpd00395_c

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modelseed_template_id: cpd03285_c

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modelseed_template_id: cpd15725_c

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modelseed_template_id: cpd17565_c

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modelseed_template_id: cpd15324_c

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modelseed_template_id: cpd15703_c

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modelseed_template_id: cpd01749_c

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modelseed_template_id: cpd01476_c

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modelseed_template_id: cpd00668_c

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modelseed_template_id: cpd02182_c

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modelseed_template_id: cpd00221_c

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modelseed_template_id: cpd02720_c

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modelseed_template_id: cpd02255_c

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modelseed_template_id: cpd11581_c

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modelseed_template_id: cpd15751_c

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modelseed_template_id: cpd15769_c

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modelseed_template_id: cpd00760_c

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modelseed_template_id: cpd15274_c

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modelseed_template_id: cpd15307_c

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modelseed_template_id: cpd00129_e

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modelseed_template_id: cpd06227_c

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modelseed_template_id: cpd02698_c

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modelseed_template_id: cpd03446_c

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modelseed_template_id: cpd03606_c

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modelseed_template_id: cpd15310_c

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modelseed_template_id: cpd00128_e

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modelseed_template_id: cpd17568_c

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modelseed_template_id: cpd22027_c

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modelseed_template_id: cpd22022_c

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modelseed_template_id: cpd21088_c

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modelseed_template_id: cpd21087_c

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modelseed_template_id: cpd36025_c

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modelseed_template_id: cpd19505_c

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modelseed_template_id: cpd28259_c

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modelseed_template_id: cpd21479_c

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modelseed_template_id: cpd28253_c

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modelseed_template_id: cpd28070_c

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modelseed_template_id: cpd33817_c

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modelseed_template_id: cpd27744_c

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modelseed_template_id: cpd12489_c

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modelseed_template_id: cpd36635_c

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modelseed_template_id: cpd22028_c

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modelseed_template_id: cpd22065_c

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modelseed_template_id: cpd22312_c

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modelseed_template_id: cpd21480_c

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modelseed_template_id: cpd19047_c

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modelseed_template_id: cpd21184_c

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modelseed_template_id: cpd09843_c

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modelseed_template_id: cpd00635_c

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modelseed_template_id: cpd00166_c

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modelseed_template_id: cpd21032_c

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modelseed_template_id: cpd19019_c

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modelseed_template_id: cpd14958_c

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modelseed_template_id: cpd19001_c

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modelseed_template_id: cpd19006_c

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modelseed_template_id: cpd11313_c

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modelseed_template_id: cpd11312_c

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modelseed_template_id: cpd01007_c

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modelseed_template_id: cpd00127_c

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modelseed_template_id: cpd18076_c

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modelseed_template_id: cpd18075_c

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modelseed_template_id: cpd18082_c

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modelseed_template_id: cpd18081_c

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modelseed_template_id: cpd10515_e

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modelseed_template_id: cpd00412_e

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modelseed_template_id: cpd00635_e

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modelseed_template_id: cpd03279_e

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modelseed_template_id: cpd00277_e

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modelseed_template_id: cpd11640_c

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modelseed_template_id: cpd00109_c

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modelseed_template_id: cpd00110_c

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modelseed_template_id: cpd28260_c

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modelseed_template_id: cpd03520_c

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modelseed_template_id: cpd27484_c

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modelseed_template_id: cpd26672_c

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modelseed_template_id: cpd27021_c

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modelseed_template_id: cpd21488_c

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modelseed_template_id: cpd21090_c

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modelseed_template_id: cpd19503_c

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modelseed_template_id: cpd14878_c

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modelseed_template_id: cpd19245_c

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modelseed_template_id: cpd21124_c

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modelseed_template_id: cpd33647_c

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modelseed_template_id: cpd35194_c

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modelseed_template_id: cpd21117_c

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modelseed_template_id: cpd15807_c

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modelseed_template_id: cpd27020_c

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modelseed_template_id: cpd01046_c

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modelseed_template_id: cpd21167_c

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modelseed_template_id: cpd01029_c

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modelseed_template_id: cpd14718_c

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modelseed_template_id: cpd08638_c

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modelseed_template_id: cpd03447_c

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modelseed_template_id: cpd27735_c

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modelseed_template_id: cpd28060_c

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modelseed_template_id: cpd27758_c

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modelseed_template_id: cpd28083_c

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modelseed_template_id: cpd31335_c

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modelseed_template_id: cpd31339_c

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modelseed_template_id: cpd00355_e

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modelseed_template_id: cpd00149_c

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modelseed_template_id: cpd00149_e

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modelseed_template_id: cpd00099_e

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modelseed_template_id: cpd00099_c

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modelseed_template_id: cpd00039_e

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modelseed_template_id: cpd01155_c

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modelseed_template_id: cpd01155_e

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modelseed_template_id: cpd00531_e

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modelseed_template_id: cpd27144_c

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modelseed_template_id: cpd27713_c

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modelseed_template_id: cpd19030_c

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modelseed_template_id: cpd21481_c

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modelseed_template_id: cpd21472_c

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modelseed_template_id: cpd00161_e

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modelseed_template_id: cpd00227_e

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modelseed_template_id: cpd27180_c

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modelseed_template_id: cpd00204_c

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modelseed_template_id: cpd00176_c

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modelseed_template_id: cpd19168_c

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modelseed_template_id: cpd20940_c

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modelseed_template_id: cpd30750_c

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modelseed_template_id: cpd28205_c

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modelseed_template_id: cpd14548_c

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modelseed_template_id: cpd00001_e

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modelseed_template_id: cpd12712_c

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modelseed_template_id: cpd12711_c

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modelseed_template_id: cpd00528_e

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modelseed_template_id: cpd00020_e

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modelseed_template_id: cpd01101_c

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modelseed_template_id: cpd01414_e

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modelseed_template_id: cpd01414_c

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modelseed_template_id: cpd09027_c

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modelseed_template_id: cpd01567_c

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modelseed_template_id: cpd00528_c

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modelseed_template_id: cpd01550_c

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modelseed_template_id: cpd00585_c

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modelseed_template_id: cpd02074_c

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modelseed_template_id: cpd00922_c

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modelseed_template_id: cpd00029_e

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modelseed_template_id: cpd02414_c

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modelseed_template_id: cpd08625_c

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modelseed_template_id: cpd00047_e

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modelseed_template_id: cpd10516_e

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modelseed_template_id: cpd00055_c

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modelseed_template_id: cpd00007_e

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modelseed_template_id: cpd01092_c

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modelseed_template_id: cpd00116_e

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modelseed_template_id: cpd01298_c

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modelseed_template_id: cpd00011_e

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modelseed_template_id: cpd00339_c

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modelseed_template_id: cpd03453_e

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modelseed_template_id: cpd03726_e

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modelseed_template_id: cpd00363_e

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modelseed_template_id: cpd00071_e

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modelseed_template_id: cpd00418_c

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modelseed_template_id: cpd11640_e

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modelseed_template_id: cpd00659_c

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modelseed_template_id: cpd00221_e

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modelseed_template_id: cpd00239_e

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modelseed_template_id: cpd00081_e

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modelseed_template_id: cpd00063_c

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modelseed_template_id: cpd00034_c

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modelseed_template_id: cpd11416_c

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modelseed_template_id: cpd01997_c

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modelseed_template_id: cpd02295_c

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modelseed_template_id: cpd02021_c

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modelseed_template_id: cpd00063_e

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modelseed_template_id: cpd00034_e

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modelseed_template_id: cpd16335_c

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modelseed_template_id: cpd03451_c

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modelseed_template_id: cpd03919_c

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modelseed_template_id: cpd03920_c

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modelseed_template_id: cpd00305_e

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modelseed_template_id: cpd00305_c

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modelseed_template_id: cpd02904_c

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modelseed_template_id: cpd03423_c

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modelseed_template_id: cpd01772_c

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modelseed_complex: cpx00700;cpx01370

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modelseed_complex: cpx01737

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modelseed_complex: cpx00466

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modelseed_complex: cpx00605

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modelseed_complex: cpx00219

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modelseed_complex: tcpx00352

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modelseed_complex: tcpx00648

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modelseed_complex: cpx00655

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modelseed_complex: tcpx00932

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modelseed_complex: cpx00772

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modelseed_complex: tcpx00210

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modelseed_complex: cpx00001

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modelseed_complex: tcpx00962

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modelseed_complex: tcpx00964

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modelseed_complex: cpx01268

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modelseed_complex: cpx00162

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modelseed_complex: tcpx00991

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modelseed_complex: cpx00145

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modelseed_complex: cpx00472

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modelseed_complex: cpx00562

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modelseed_complex: cpx01676

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modelseed_complex: tcpx01029

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modelseed_complex: tcpx01030

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modelseed_complex: cpx00708

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modelseed_complex: cpx00708

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modelseed_complex: tcpx01039

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modelseed_complex: tcpx01039

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modelseed_complex: tcpx01065

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modelseed_complex: tcpx01073

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modelseed_complex: tcpx01097

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modelseed_complex: tcpx01113

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modelseed_complex: tcpx01147

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modelseed_complex: tcpx01155

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modelseed_complex: tcpx01164

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modelseed_complex: tcpx01180

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modelseed_complex: tcpx01188

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modelseed_complex: cpx01186

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modelseed_complex: cpx00501;tcpx00149

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modelseed_complex: cpx01119

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complex_source: ModelSEED

+

complex_subunit_note_ftr01608: Dihydropteroate synthase (EC 2.5.1.15)

+

complex_subunit_optional_ftr01608: 0

+

complex_subunit_triggering_ftr01608: 1

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complex_subunit_features_ftr01608: FW510-R12_contig_1_2268

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complex_source: ModelSEED

+

complex_subunit_note_ftr01607: 2-amino-4-hydroxy-6-hydroxymethyldihydropteridine pyrophosphokinase (EC 2.7.6.3)

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complex_subunit_optional_ftr01607: 0

+

complex_subunit_triggering_ftr01607: 1

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complex_subunit_features_ftr01607: FW510-R12_contig_1_2653;FW510-R12_contig_1_572

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complex_source: ModelSEED

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complex_subunit_note_ftr01601: Glutathione synthetase (EC 6.3.2.3)

+

complex_subunit_optional_ftr01601: 0

+

complex_subunit_triggering_ftr01601: 1

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complex_subunit_features_ftr01601: FW510-R12_contig_1_1143

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complex_source: ModelSEED

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complex_subunit_note_ftr03028: Branched-chain alpha-keto acid dehydrogenase, E1 component, beta subunit (EC 1.2.4.4)

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complex_subunit_optional_ftr03028: 0

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complex_subunit_triggering_ftr03028: 1

+

complex_subunit_features_ftr03028: FW510-R12_contig_1_1579;FW510-R12_contig_1_3404

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complex_subunit_note_ftr03027: Branched-chain alpha-keto acid dehydrogenase, E1 component, alpha subunit (EC 1.2.4.4)

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complex_subunit_optional_ftr03027: 0

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complex_subunit_triggering_ftr03027: 1

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complex_subunit_features_ftr03027: FW510-R12_contig_1_1579;FW510-R12_contig_1_3403

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complex_source: ModelSEED

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complex_subunit_note_ftr07056: Hypoxanthine-guanine phosphoribosyltransferase (EC 2.4.2.8)

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complex_subunit_optional_ftr07056: 0

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complex_subunit_triggering_ftr07056: 1

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complex_subunit_features_ftr07056: FW510-R12_contig_1_2347

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complex_source: ModelSEED

+

complex_subunit_note_ftr02313: Nucleoside permease nupG

+

complex_subunit_optional_ftr02313: 0

+

complex_subunit_triggering_ftr02313: 1

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complex_subunit_features_ftr02313: FW510-R12_contig_1_3213

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complex_source: ModelSEED

+

complex_subunit_note_tftr00541: Cytidylate kinase (EC 2.7.4.25)

+

complex_subunit_optional_tftr00541: 0

+

complex_subunit_triggering_tftr00541: 1

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complex_subunit_features_tftr00541: FW510-R12_contig_1_2233

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complex_source: ModelSEED

+

complex_subunit_note_tftr00519: Na+/H+-dicarboxylate symporter

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complex_subunit_optional_tftr00519: 0

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complex_subunit_triggering_tftr00519: 1

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complex_subunit_features_tftr00519: FW510-R12_contig_1_3344

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complex_source: ModelSEED

+

complex_subunit_note_ftr08505: UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase (EC 2.4.1.227)

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complex_subunit_optional_ftr08505: 0

+

complex_subunit_triggering_ftr08505: 1

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complex_subunit_features_ftr08505: FW510-R12_contig_1_3199

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complex_source: ModelSEED

+

complex_subunit_note_ftr01558: Isochorismatase (EC 3.3.2.1)

+

complex_subunit_optional_ftr01558: 0

+

complex_subunit_triggering_ftr01558: 1

+

complex_subunit_features_ftr01558: FW510-R12_contig_1_1968

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complex_source: ModelSEED

+

complex_subunit_note_ftr02241: Long-chain-fatty-acid--CoA ligase (EC 6.2.1.3)

+

complex_subunit_optional_ftr02241: 0

+

complex_subunit_triggering_ftr02241: 1

+

complex_subunit_features_ftr02241: FW510-R12_contig_1_1839;FW510-R12_contig_1_19;FW510-R12_contig_1_2074;FW510-R12_contig_1_2084;FW510-R12_contig_1_2679

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01598: Glutamate--cysteine ligase (EC 6.3.2.2)

+

complex_subunit_optional_ftr01598: 0

+

complex_subunit_triggering_ftr01598: 1

+

complex_subunit_features_ftr01598: FW510-R12_contig_1_742

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06012: Nucleoside diphosphate kinase (EC 2.7.4.6)

+

complex_subunit_optional_ftr06012: 0

+

complex_subunit_triggering_ftr06012: 1

+

complex_subunit_features_ftr06012: FW510-R12_contig_1_2207

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00783: Nitrate/nitrite transporter NarK/U

+

complex_subunit_optional_tftr00783: 0

+

complex_subunit_triggering_tftr00783: 1

+

complex_subunit_features_tftr00783: FW510-R12_contig_1_2866

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01176: Nitrate/nitrite transporter NarK/U 1

+

complex_subunit_optional_tftr01176: 0

+

complex_subunit_triggering_tftr01176: 1

+

complex_subunit_features_tftr01176: FW510-R12_contig_1_2867

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01379: Pyruvate dehydrogenase E1 component (EC 1.2.4.1)

+

complex_subunit_optional_ftr01379: 0

+

complex_subunit_triggering_ftr01379: 1

+

complex_subunit_features_ftr01379: FW510-R12_contig_1_816

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06895: Maltodextrin glucosidase (EC 3.2.1.20)

+

complex_subunit_optional_ftr06895: 0

+

complex_subunit_triggering_ftr06895: 1

+

complex_subunit_features_ftr06895: FW510-R12_contig_1_3042;FW510-R12_contig_1_3047

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04948: dTDP-4-dehydrorhamnose 3,5-epimerase (EC 5.1.3.13)

+

complex_subunit_optional_ftr04948: 0

+

complex_subunit_triggering_ftr04948: 1

+

complex_subunit_features_ftr04948: FW510-R12_contig_1_873

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00801: 3-hydroxyacyl-CoA dehydrogenase [fadN-fadA-fadE operon] (EC 1.1.1.35)

+

complex_subunit_optional_tftr00801: 0

+

complex_subunit_triggering_tftr00801: 1

+

complex_subunit_features_tftr00801: FW510-R12_contig_1_2209

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03140: 3-hydroxyacyl-CoA dehydrogenase (EC 1.1.1.35)

+

complex_subunit_optional_ftr03140: 0

+

complex_subunit_triggering_ftr03140: 1

+

complex_subunit_features_ftr03140: FW510-R12_contig_1_2078;FW510-R12_contig_1_2110;FW510-R12_contig_1_2366;FW510-R12_contig_1_2682

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02994: Malonyl CoA-acyl carrier protein transacylase (EC 2.3.1.39)

+

complex_subunit_optional_ftr02994: 0

+

complex_subunit_triggering_ftr02994: 1

+

complex_subunit_features_ftr02994: FW510-R12_contig_1_1751

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06398: Octaprenyl diphosphate synthase (EC 2.5.1.90)

+

complex_subunit_optional_ftr06398: 0

+

complex_subunit_triggering_ftr06398: 1

+

complex_subunit_features_ftr06398: FW510-R12_contig_1_960

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11974: 2-acylglycerophosphoethanolamine acyltransferase (EC 2.3.1.40)

+

complex_subunit_optional_ftr11974: 0

+

complex_subunit_triggering_ftr11974: 1

+

complex_subunit_features_ftr11974: FW510-R12_contig_1_382

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06655: Pyridoxine 5'-phosphate synthase (EC 2.6.99.2)

+

complex_subunit_optional_ftr06655: 0

+

complex_subunit_triggering_ftr06655: 1

+

complex_subunit_features_ftr06655: FW510-R12_contig_1_10

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00150: Isocitrate dehydrogenase [NADP] (EC 1.1.1.42)

+

complex_subunit_optional_ftr00150: 0

+

complex_subunit_triggering_ftr00150: 1

+

complex_subunit_features_ftr00150: FW510-R12_contig_1_538

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05110: Purine nucleoside phosphorylase (EC 2.4.2.1)

+

complex_subunit_optional_ftr05110: 0

+

complex_subunit_triggering_ftr05110: 1

+

complex_subunit_features_ftr05110: FW510-R12_contig_1_2882

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09926: CDP-diacylglycerol--serine O-phosphatidyltransferase (EC 2.7.8.8)

+

complex_subunit_optional_ftr09926: 0

+

complex_subunit_triggering_ftr09926: 1

+

complex_subunit_features_ftr09926: FW510-R12_contig_1_1115;FW510-R12_contig_1_694

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09927: Phosphatidylglycerophosphatase A (EC 3.1.3.27)

+

complex_subunit_optional_ftr09927: 0

+

complex_subunit_triggering_ftr09927: 1

+

complex_subunit_features_ftr09927: FW510-R12_contig_1_1088

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06570: Membrane alanine aminopeptidase N (EC 3.4.11.2)

+

complex_subunit_optional_ftr06570: 0

+

complex_subunit_triggering_ftr06570: 1

+

complex_subunit_features_ftr06570: FW510-R12_contig_1_1052;FW510-R12_contig_1_599

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05559: Methionine aminopeptidase (EC 3.4.11.18)

+

complex_subunit_optional_ftr05559: 0

+

complex_subunit_triggering_ftr05559: 1

+

complex_subunit_features_ftr05559: FW510-R12_contig_1_1331;FW510-R12_contig_1_938

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09847: Asp-X dipeptidase

+

complex_subunit_optional_ftr09847: 0

+

complex_subunit_triggering_ftr09847: 1

+

complex_subunit_features_ftr09847: FW510-R12_contig_1_1168

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11175: Isoaspartyl aminopeptidase (EC 3.4.19.5)

+

complex_subunit_optional_ftr11175: 0

+

complex_subunit_triggering_ftr11175: 1

+

complex_subunit_features_ftr11175: FW510-R12_contig_1_1168

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05119: Cytosol aminopeptidase PepA (EC 3.4.11.1)

+

complex_subunit_optional_ftr05119: 0

+

complex_subunit_triggering_ftr05119: 1

+

complex_subunit_features_ftr05119: FW510-R12_contig_1_3174

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09836: Peptidase B (EC 3.4.11.23)

+

complex_subunit_optional_ftr09836: 0

+

complex_subunit_triggering_ftr09836: 1

+

complex_subunit_features_ftr09836: FW510-R12_contig_1_3492

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05913: Sulfate adenylyltransferase subunit 1 (EC 2.7.7.4)

+

complex_subunit_optional_ftr05913: 0

+

complex_subunit_triggering_ftr05913: 1

+

complex_subunit_features_ftr05913: FW510-R12_contig_1_901

+

complex_subunit_note_ftr05914: Sulfate adenylyltransferase subunit 2 (EC 2.7.7.4)

+

complex_subunit_optional_ftr05914: 0

+

complex_subunit_triggering_ftr05914: 1

+

complex_subunit_features_ftr05914: FW510-R12_contig_1_900

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01395: Acetyl-CoA synthetase (ADP-forming) alpha and beta chains, putative

+

complex_subunit_optional_ftr01395: 0

+

complex_subunit_triggering_ftr01395: 1

+

complex_subunit_features_ftr01395: FW510-R12_contig_1_2853

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08314: S-ribosylhomocysteine lyase (EC 4.4.1.21)

+

complex_subunit_optional_ftr08314: 0

+

complex_subunit_triggering_ftr08314: 1

+

complex_subunit_features_ftr08314: FW510-R12_contig_1_640

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05999: Adenylosuccinate lyase (EC 4.3.2.2)

+

complex_subunit_optional_ftr05999: 0

+

complex_subunit_triggering_ftr05999: 1

+

complex_subunit_features_ftr05999: FW510-R12_contig_1_1819

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00076: SAICAR lyase (EC 4.3.2.2)

+

complex_subunit_optional_tftr00076: 0

+

complex_subunit_triggering_tftr00076: 1

+

complex_subunit_features_tftr00076: FW510-R12_contig_1_1819

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01071: Phosphopantothenoylcysteine synthetase (EC 6.3.2.5)

+

complex_subunit_optional_ftr01071: 0

+

complex_subunit_triggering_ftr01071: 1

+

complex_subunit_features_ftr01071: FW510-R12_contig_1_3522

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr31561: UDP-glucose 6-dehydrogenase (EC 1.1.1.22)

+

complex_subunit_optional_ftr31561: 0

+

complex_subunit_triggering_ftr31561: 1

+

complex_subunit_features_ftr31561: FW510-R12_contig_1_2369

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06506: Glutamate 5-kinase (EC 2.7.2.11)

+

complex_subunit_optional_ftr06506: 0

+

complex_subunit_triggering_ftr06506: 1

+

complex_subunit_features_ftr06506: FW510-R12_contig_1_1499

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06553: Catechol 2,3-dioxygenase (EC 1.13.11.2)

+

complex_subunit_optional_ftr06553: 0

+

complex_subunit_triggering_ftr06553: 1

+

complex_subunit_features_ftr06553: FW510-R12_contig_1_2020

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01694: Folylpolyglutamate synthase (EC 6.3.2.17)

+

complex_subunit_optional_ftr01694: 0

+

complex_subunit_triggering_ftr01694: 1

+

complex_subunit_features_ftr01694: FW510-R12_contig_1_1715

+

complex_subunit_note_ftr01688: Dihydrofolate synthase (EC 6.3.2.12)

+

complex_subunit_optional_ftr01688: 0

+

complex_subunit_triggering_ftr01688: 1

+

complex_subunit_features_ftr01688: FW510-R12_contig_1_1715

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05888: N-acetylglutamate synthase (EC 2.3.1.1)

+

complex_subunit_optional_ftr05888: 0

+

complex_subunit_triggering_ftr05888: 1

+

complex_subunit_features_ftr05888: FW510-R12_contig_1_695

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00253: Acetyltransferase, GNAT family

+

complex_subunit_optional_tftr00253: 0

+

complex_subunit_triggering_tftr00253: 1

+

complex_subunit_features_tftr00253: FW510-R12_contig_1_1086;FW510-R12_contig_1_1398;FW510-R12_contig_1_1436;FW510-R12_contig_1_1514;FW510-R12_contig_1_1576;FW510-R12_contig_1_1582;FW510-R12_contig_1_3058;FW510-R12_contig_1_3164;FW510-R12_contig_1_3461;FW510-R12_contig_1_3543;FW510-R12_contig_1_3551

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06004: 5'-nucleotidase (EC 3.1.3.5)

+

complex_subunit_optional_ftr06004: 0

+

complex_subunit_triggering_ftr06004: 1

+

complex_subunit_features_ftr06004: FW510-R12_contig_1_1571

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01707: 5-nucleotidase SurE (EC 3.1.3.5)

+

complex_subunit_optional_ftr01707: 0

+

complex_subunit_triggering_ftr01707: 1

+

complex_subunit_features_ftr01707: FW510-R12_contig_1_2403

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05352: Exopolyphosphatase (EC 3.6.1.11)

+

complex_subunit_optional_ftr05352: 0

+

complex_subunit_triggering_ftr05352: 1

+

complex_subunit_features_ftr05352: FW510-R12_contig_1_2670

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02653: 6-phosphofructokinase (EC 2.7.1.11)

+

complex_subunit_optional_ftr02653: 0

+

complex_subunit_triggering_ftr02653: 1

+

complex_subunit_features_ftr02653: FW510-R12_contig_1_361

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07503: Lysophospholipase (EC 3.1.1.5)

+

complex_subunit_optional_ftr07503: 0

+

complex_subunit_triggering_ftr07503: 1

+

complex_subunit_features_ftr07503: FW510-R12_contig_1_176

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02128: Methionine ABC transporter permease protein

+

complex_subunit_optional_ftr02128: 0

+

complex_subunit_triggering_ftr02128: 1

+

complex_subunit_features_ftr02128: FW510-R12_contig_1_2722

+

complex_subunit_note_ftr02127: Methionine ABC transporter substrate-binding protein

+

complex_subunit_optional_ftr02127: 0

+

complex_subunit_triggering_ftr02127: 1

+

complex_subunit_features_ftr02127: FW510-R12_contig_1_2723

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02514: Lead, cadmium, zinc and mercury transporting ATPase (EC 3.6.3.3) (EC 3.6.3.5)

+

complex_subunit_optional_ftr02514: 0

+

complex_subunit_triggering_ftr02514: 1

+

complex_subunit_features_ftr02514: FW510-R12_contig_1_1714;FW510-R12_contig_1_2179

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00725: Cardiolipin synthase (EC 2.7.8.-) phosphatidylethanolamine-utilizing, bacterial type ClsC

+

complex_subunit_optional_tftr00725: 0

+

complex_subunit_triggering_tftr00725: 1

+

complex_subunit_features_tftr00725: FW510-R12_contig_1_3537

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02812: Histidinol-phosphate aminotransferase (EC 2.6.1.9)

+

complex_subunit_optional_ftr02812: 0

+

complex_subunit_triggering_ftr02812: 1

+

complex_subunit_features_ftr02812: FW510-R12_contig_1_1671

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07658: Uroporphyrinogen III decarboxylase (EC 4.1.1.37)

+

complex_subunit_optional_ftr07658: 0

+

complex_subunit_triggering_ftr07658: 1

+

complex_subunit_features_ftr07658: FW510-R12_contig_1_1121

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01685: Dihydroneopterin aldolase (EC 4.1.2.25)

+

complex_subunit_optional_ftr01685: 0

+

complex_subunit_triggering_ftr01685: 1

+

complex_subunit_features_ftr01685: FW510-R12_contig_1_571

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01619: L-aspartate oxidase (EC 1.4.3.16)

+

complex_subunit_optional_ftr01619: 0

+

complex_subunit_triggering_ftr01619: 1

+

complex_subunit_features_ftr01619: FW510-R12_contig_1_2889

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03584: Adenine phosphoribosyltransferase (EC 2.4.2.7)

+

complex_subunit_optional_ftr03584: 0

+

complex_subunit_triggering_ftr03584: 1

+

complex_subunit_features_ftr03584: FW510-R12_contig_1_1047

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01922: CDP-diacylglycerol--glycerol-3-phosphate 3-phosphatidyltransferase (EC 2.7.8.5)

+

complex_subunit_optional_ftr01922: 0

+

complex_subunit_triggering_ftr01922: 1

+

complex_subunit_features_ftr01922: FW510-R12_contig_1_1927

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09922: Glycerol-3-phosphate acyltransferase (EC 2.3.1.15)

+

complex_subunit_optional_ftr09922: 0

+

complex_subunit_triggering_ftr09922: 1

+

complex_subunit_features_ftr09922: FW510-R12_contig_1_715

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00768: Acyl-CoA:1-acyl-sn-glycerol-3-phosphate acyltransferase (EC 2.3.1.51)

+

complex_subunit_optional_tftr00768: 0

+

complex_subunit_triggering_tftr00768: 1

+

complex_subunit_features_tftr00768: FW510-R12_contig_1_44

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08485: Phosphatidate cytidylyltransferase (EC 2.7.7.41)

+

complex_subunit_optional_ftr08485: 0

+

complex_subunit_triggering_ftr08485: 1

+

complex_subunit_features_ftr08485: FW510-R12_contig_1_1325

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03112: Dihydroxy-acid dehydratase (EC 4.2.1.9)

+

complex_subunit_optional_ftr03112: 0

+

complex_subunit_triggering_ftr03112: 1

+

complex_subunit_features_ftr03112: FW510-R12_contig_1_622

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr16325: 3-hydroxyacyl-[acyl-carrier-protein] dehydratase, FabA form (EC 4.2.1.59)

+

complex_subunit_optional_ftr16325: 0

+

complex_subunit_triggering_ftr16325: 1

+

complex_subunit_features_ftr16325: FW510-R12_contig_1_2888

+ + + + + + +

complex_source: PlantSEED

+

complex_subunit_note_ftr50357: 3-hydroxyacyl-[acyl-carrier-protein] dehydratase, FabZ form (EC 4.2.1.59)

+

complex_subunit_optional_ftr50357: 0

+

complex_subunit_triggering_ftr50357: 1

+

complex_subunit_features_ftr50357: FW510-R12_contig_1_1320

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08996: 3,4-dihydroxy-2-butanone 4-phosphate synthase (EC 4.1.99.12)

+

complex_subunit_optional_ftr08996: 0

+

complex_subunit_triggering_ftr08996: 1

+

complex_subunit_features_ftr08996: FW510-R12_contig_1_1081

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02394: D-serine/D-alanine/glycine transporter

+

complex_subunit_optional_ftr02394: 0

+

complex_subunit_triggering_ftr02394: 1

+

complex_subunit_features_ftr02394: FW510-R12_contig_1_1405;FW510-R12_contig_1_2577

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04210: Beta-galactosidase (EC 3.2.1.23)

+

complex_subunit_optional_ftr04210: 0

+

complex_subunit_triggering_ftr04210: 1

+

complex_subunit_features_ftr04210: FW510-R12_contig_1_981

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr50635: Quinolinate synthetase (EC 2.5.1.72)

+

complex_subunit_optional_ftr50635: 0

+

complex_subunit_triggering_ftr50635: 1

+

complex_subunit_features_ftr50635: FW510-R12_contig_1_2890

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08956: S-(hydroxymethyl)glutathione dehydrogenase (EC 1.1.1.284)

+

complex_subunit_optional_ftr08956: 0

+

complex_subunit_triggering_ftr08956: 1

+

complex_subunit_features_ftr08956: FW510-R12_contig_1_543

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03810: Threonine dehydratase biosynthetic (EC 4.3.1.19)

+

complex_subunit_optional_ftr03810: 0

+

complex_subunit_triggering_ftr03810: 1

+

complex_subunit_features_ftr03810: FW510-R12_contig_1_618

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06159: L-serine dehydratase, beta subunit (EC 4.3.1.17)

+

complex_subunit_optional_ftr06159: 0

+

complex_subunit_triggering_ftr06159: 1

+

complex_subunit_features_ftr06159: FW510-R12_contig_1_953

+

complex_subunit_note_ftr06158: L-serine dehydratase, alpha subunit (EC 4.3.1.17)

+

complex_subunit_optional_ftr06158: 0

+

complex_subunit_triggering_ftr06158: 1

+

complex_subunit_features_ftr06158: FW510-R12_contig_1_953

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr15817: D-arabinose 5-phosphate isomerase (EC 5.3.1.13)

+

complex_subunit_optional_ftr15817: 0

+

complex_subunit_triggering_ftr15817: 1

+

complex_subunit_features_ftr15817: FW510-R12_contig_1_3082

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10139: Bis(5'-nucleosyl)-tetraphosphatase, symmetrical (EC 3.6.1.41)

+

complex_subunit_optional_ftr10139: 0

+

complex_subunit_triggering_ftr10139: 1

+

complex_subunit_features_ftr10139: FW510-R12_contig_1_3189

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05342: Inorganic pyrophosphatase (EC 3.6.1.1)

+

complex_subunit_optional_ftr05342: 0

+

complex_subunit_triggering_ftr05342: 1

+

complex_subunit_features_ftr05342: FW510-R12_contig_1_356

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05901: D-alanyl-D-alanine carboxypeptidase (EC 3.4.16.4)

+

complex_subunit_optional_ftr05901: 0

+

complex_subunit_triggering_ftr05901: 1

+

complex_subunit_features_ftr05901: FW510-R12_contig_1_3502

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02511: Probable low-affinity inorganic phosphate transporter

+

complex_subunit_optional_ftr02511: 0

+

complex_subunit_triggering_ftr02511: 1

+

complex_subunit_features_ftr02511: FW510-R12_contig_1_1986;FW510-R12_contig_1_3069

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07685: Orotidine 5'-phosphate decarboxylase (EC 4.1.1.23)

+

complex_subunit_optional_ftr07685: 0

+

complex_subunit_triggering_ftr07685: 1

+

complex_subunit_features_ftr07685: FW510-R12_contig_1_1075

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08429: Thiamin-phosphate pyrophosphorylase (EC 2.5.1.3)

+

complex_subunit_optional_ftr08429: 0

+

complex_subunit_triggering_ftr08429: 1

+

complex_subunit_features_ftr08429: FW510-R12_contig_1_371;FW510-R12_contig_1_765

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01635: 5,10-methylenetetrahydrofolate reductase (EC 1.5.1.20)

+

complex_subunit_optional_ftr01635: 0

+

complex_subunit_triggering_ftr01635: 1

+

complex_subunit_features_ftr01635: FW510-R12_contig_1_3247

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03612: Cystathionine beta-synthase (EC 4.2.1.22)

+

complex_subunit_optional_ftr03612: 0

+

complex_subunit_triggering_ftr03612: 1

+

complex_subunit_features_ftr03612: FW510-R12_contig_1_864

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09924: Diacylglycerol kinase (EC 2.7.1.107)

+

complex_subunit_optional_ftr09924: 0

+

complex_subunit_triggering_ftr09924: 1

+

complex_subunit_features_ftr09924: FW510-R12_contig_1_1173

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: FW510-R12_contig_1_3094

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00653: Nucleoside 5-triphosphatase RdgB (dHAPTP, dITP, XTP-specific) (EC 3.6.1.66)

+

complex_subunit_optional_tftr00653: 0

+

complex_subunit_triggering_tftr00653: 1

+

complex_subunit_features_tftr00653: FW510-R12_contig_1_3306

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04037: Tryptophan synthase beta chain (EC 4.2.1.20)

+

complex_subunit_optional_ftr04037: 0

+

complex_subunit_triggering_ftr04037: 1

+

complex_subunit_features_ftr04037: FW510-R12_contig_1_1648

+

complex_subunit_note_ftr04036: Tryptophan synthase alpha chain (EC 4.2.1.20)

+

complex_subunit_optional_ftr04036: 0

+

complex_subunit_triggering_ftr04036: 1

+

complex_subunit_features_ftr04036: FW510-R12_contig_1_1649

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05740: Nitric-oxide reductase subunit B (EC 1.7.99.7)

+

complex_subunit_optional_ftr05740: 0

+

complex_subunit_triggering_ftr05740: 1

+

complex_subunit_features_ftr05740: FW510-R12_contig_1_2849

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00639: Nitric-oxide reductase (EC 1.7.99.7), quinol-dependent

+

complex_subunit_optional_ftr00639: 0

+

complex_subunit_triggering_ftr00639: 1

+

complex_subunit_features_ftr00639: FW510-R12_contig_1_2421;FW510-R12_contig_1_2855

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01537: Tetraacyldisaccharide 4'-kinase (EC 2.7.1.130)

+

complex_subunit_optional_ftr01537: 0

+

complex_subunit_triggering_ftr01537: 1

+

complex_subunit_features_ftr01537: FW510-R12_contig_1_2464

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05094: UDP-N-acetylmuramate:L-alanyl-gamma-D-glutamyl-meso-diaminopimelate ligase (EC 6.3.2.-)

+

complex_subunit_optional_ftr05094: 0

+

complex_subunit_triggering_ftr05094: 1

+

complex_subunit_features_ftr05094: FW510-R12_contig_1_363

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02983: 2-Keto-3-deoxy-D-manno-octulosonate-8-phosphate synthase (EC 2.5.1.55)

+

complex_subunit_optional_ftr02983: 0

+

complex_subunit_triggering_ftr02983: 1

+

complex_subunit_features_ftr02983: FW510-R12_contig_1_2412

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04715: Aspartokinase (EC 2.7.2.4)

+

complex_subunit_optional_ftr04715: 0

+

complex_subunit_triggering_ftr04715: 1

+

complex_subunit_features_ftr04715: FW510-R12_contig_1_3137

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05040: Kynureninase (EC 3.7.1.3)

+

complex_subunit_optional_ftr05040: 0

+

complex_subunit_triggering_ftr05040: 1

+

complex_subunit_features_ftr05040: FW510-R12_contig_1_1507

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06656: Pyridoxamine 5'-phosphate oxidase (EC 1.4.3.5)

+

complex_subunit_optional_ftr06656: 0

+

complex_subunit_triggering_ftr06656: 1

+

complex_subunit_features_ftr06656: FW510-R12_contig_1_1129

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03525: 3-oxoacyl-[acyl-carrier-protein] synthase, KASI (EC 2.3.1.41)

+

complex_subunit_optional_ftr03525: 0

+

complex_subunit_triggering_ftr03525: 1

+

complex_subunit_features_ftr03525: FW510-R12_contig_1_2887

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr50676: 3-oxoacyl-[acyl-carrier-protein] synthase, KASII (EC 2.3.1.179)

+

complex_subunit_optional_ftr50676: 0

+

complex_subunit_triggering_ftr50676: 1

+

complex_subunit_features_ftr50676: FW510-R12_contig_1_1754

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr13693: 3-oxoacyl-[ACP] synthase (EC 2.3.1.41) FabV like

+

complex_subunit_optional_ftr13693: 0

+

complex_subunit_triggering_ftr13693: 1

+

complex_subunit_features_ftr13693: FW510-R12_contig_1_452

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr13692: 3-oxoacyl-[ACP] synthase

+

complex_subunit_optional_ftr13692: 0

+

complex_subunit_triggering_ftr13692: 1

+

complex_subunit_features_ftr13692: FW510-R12_contig_1_451

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07791: Histidine ammonia-lyase (EC 4.3.1.3)

+

complex_subunit_optional_ftr07791: 0

+

complex_subunit_triggering_ftr07791: 1

+

complex_subunit_features_ftr07791: FW510-R12_contig_1_1599;FW510-R12_contig_1_1733

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00494: 3-ketoacyl-CoA thiolase [fadN-fadA-fadE operon] (EC 2.3.1.16)

+

complex_subunit_optional_tftr00494: 0

+

complex_subunit_triggering_tftr00494: 1

+

complex_subunit_features_tftr00494: FW510-R12_contig_1_2210

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00146: 3-ketoacyl-CoA thiolase (EC 2.3.1.16)

+

complex_subunit_optional_ftr00146: 0

+

complex_subunit_triggering_ftr00146: 1

+

complex_subunit_features_ftr00146: FW510-R12_contig_1_2077;FW510-R12_contig_1_2111;FW510-R12_contig_1_2626;FW510-R12_contig_1_2683;FW510-R12_contig_1_3540

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05919: Cysteine synthase (EC 2.5.1.47)

+

complex_subunit_optional_ftr05919: 0

+

complex_subunit_triggering_ftr05919: 1

+

complex_subunit_features_ftr05919: FW510-R12_contig_1_1815;FW510-R12_contig_1_2415;FW510-R12_contig_1_941

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06577: Asparagine synthetase [glutamine-hydrolyzing] (EC 6.3.5.4)

+

complex_subunit_optional_ftr06577: 0

+

complex_subunit_triggering_ftr06577: 1

+

complex_subunit_features_ftr06577: FW510-R12_contig_1_1937

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr12120: Asparagine synthetase [glutamine-hydrolyzing] (EC 6.3.5.4) AsnH

+

complex_subunit_optional_ftr12120: 0

+

complex_subunit_triggering_ftr12120: 1

+

complex_subunit_features_ftr12120: FW510-R12_contig_1_3023

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05191: L-arabinolactonase (EC 3.1.1.15)

+

complex_subunit_optional_ftr05191: 0

+

complex_subunit_triggering_ftr05191: 1

+

complex_subunit_features_ftr05191: FW510-R12_contig_1_976

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06759: 2-oxoglutarate dehydrogenase E1 component (EC 1.2.4.2)

+

complex_subunit_optional_ftr06759: 0

+

complex_subunit_triggering_ftr06759: 1

+

complex_subunit_features_ftr06759: FW510-R12_contig_1_1806

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01408: Acyl carrier protein

+

complex_subunit_optional_ftr01408: 1

+

complex_subunit_triggering_ftr01408: 0

+

complex_subunit_features_ftr01408: FW510-R12_contig_1_1377;FW510-R12_contig_1_1753;FW510-R12_contig_1_442

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03814: 2-isopropylmalate synthase (EC 2.3.3.13)

+

complex_subunit_optional_ftr03814: 0

+

complex_subunit_triggering_ftr03814: 1

+

complex_subunit_features_ftr03814: FW510-R12_contig_1_627

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04737: Biotin carboxyl carrier protein of acetyl-CoA carboxylase

+

complex_subunit_optional_ftr04737: 0

+

complex_subunit_triggering_ftr04737: 1

+

complex_subunit_features_ftr04737: FW510-R12_contig_1_325

+

complex_subunit_note_ftr01471: Biotin operon repressor

+

complex_subunit_optional_ftr01471: 0

+

complex_subunit_triggering_ftr01471: 1

+

complex_subunit_features_ftr01471: FW510-R12_contig_1_3419

+

complex_subunit_note_ftr04738: Biotin carboxylase of acetyl-CoA carboxylase (EC 6.3.4.14)

+

complex_subunit_optional_ftr04738: 0

+

complex_subunit_triggering_ftr04738: 1

+

complex_subunit_features_ftr04738: FW510-R12_contig_1_323

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01663: Shikimate kinase I (EC 2.7.1.71)

+

complex_subunit_optional_ftr01663: 0

+

complex_subunit_triggering_ftr01663: 1

+

complex_subunit_features_ftr01663: FW510-R12_contig_1_1124

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr33503: 3-phosphoshikimate 1-carboxyvinyltransferase (EC 2.5.1.19)

+

complex_subunit_optional_ftr33503: 0

+

complex_subunit_triggering_ftr33503: 1

+

complex_subunit_features_ftr33503: FW510-R12_contig_1_1924

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00384: Prephenate and/or arogenate dehydrogenase (unknown specificity) (EC 1.3.1.12)(EC 1.3.1.43)

+

complex_subunit_optional_ftr00384: 0

+

complex_subunit_triggering_ftr00384: 1

+

complex_subunit_features_ftr00384: FW510-R12_contig_1_2859

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07233: Mannose-1-phosphate guanylyltransferase (EC 2.7.7.13 )

+

complex_subunit_optional_ftr07233: 0

+

complex_subunit_triggering_ftr07233: 1

+

complex_subunit_features_ftr07233: FW510-R12_contig_1_871

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05913: Sulfate adenylyltransferase subunit 1 (EC 2.7.7.4)

+

complex_subunit_optional_ftr05913: 0

+

complex_subunit_triggering_ftr05913: 1

+

complex_subunit_features_ftr05913: FW510-R12_contig_1_901

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05328: Adenylylsulfate kinase (EC 2.7.1.25)

+

complex_subunit_optional_ftr05328: 0

+

complex_subunit_triggering_ftr05328: 1

+

complex_subunit_features_ftr05328: FW510-R12_contig_1_901

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00280: acyl-CoA dehydrogenase

+

complex_subunit_optional_tftr00280: 0

+

complex_subunit_triggering_tftr00280: 1

+

complex_subunit_features_tftr00280: FW510-R12_contig_1_2086;FW510-R12_contig_1_2087;FW510-R12_contig_1_2102;FW510-R12_contig_1_2107;FW510-R12_contig_1_2562;FW510-R12_contig_1_2684;FW510-R12_contig_1_923

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00807: Acyl-CoA dehydrogenase, long-chain specific (EC 1.3.8.8)

+

complex_subunit_optional_tftr00807: 0

+

complex_subunit_triggering_tftr00807: 1

+

complex_subunit_features_tftr00807: FW510-R12_contig_1_2076;FW510-R12_contig_1_2116

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02625: Diaminopimelate epimerase (EC 5.1.1.7)

+

complex_subunit_optional_ftr02625: 0

+

complex_subunit_triggering_ftr02625: 1

+

complex_subunit_features_ftr02625: FW510-R12_contig_1_463

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07793: Formiminoglutamic iminohydrolase (EC 3.5.3.13)

+

complex_subunit_optional_ftr07793: 0

+

complex_subunit_triggering_ftr07793: 1

+

complex_subunit_features_ftr07793: FW510-R12_contig_1_2460

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06497: Guanosine-3',5'-bis(diphosphate) 3'-pyrophosphohydrolase (EC 3.1.7.2)

+

complex_subunit_optional_ftr06497: 0

+

complex_subunit_triggering_ftr06497: 1

+

complex_subunit_features_ftr06497: FW510-R12_contig_1_3294

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01997: NADH dehydrogenase (EC 1.6.99.3)

+

complex_subunit_optional_ftr01997: 0

+

complex_subunit_triggering_ftr01997: 1

+

complex_subunit_features_ftr01997: FW510-R12_contig_1_3159;FW510-R12_contig_1_3160

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00724: Copper/silver efflux RND transporter, transmembrane protein CusA

+

complex_subunit_optional_tftr00724: 0

+

complex_subunit_triggering_tftr00724: 1

+

complex_subunit_features_tftr00724: FW510-R12_contig_1_1597;FW510-R12_contig_1_2147;FW510-R12_contig_2_84

+

complex_subunit_note_tftr00060: Copper/silver efflux RND transporter, membrane fusion protein CusB

+

complex_subunit_optional_tftr00060: 0

+

complex_subunit_triggering_tftr00060: 1

+

complex_subunit_features_tftr00060: FW510-R12_contig_1_2148;FW510-R12_contig_2_83

+

complex_subunit_note_tftr01033: Copper/silver efflux RND transporter, outer membrane protein CusC

+

complex_subunit_optional_tftr01033: 0

+

complex_subunit_triggering_tftr01033: 1

+

complex_subunit_features_tftr01033: FW510-R12_contig_1_1595

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04137: Methylthioribulose-1-phosphate dehydratase (EC 4.2.1.109)

+

complex_subunit_optional_ftr04137: 0

+

complex_subunit_triggering_ftr04137: 1

+

complex_subunit_features_ftr04137: FW510-R12_contig_1_1680

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr32782: S-methyl-5-thioribose-1-phosphate isomerase (EC 5.3.1.23)

+

complex_subunit_optional_ftr32782: 0

+

complex_subunit_triggering_ftr32782: 1

+

complex_subunit_features_ftr32782: FW510-R12_contig_1_1795

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07649: Porphobilinogen deaminase (EC 2.5.1.61)

+

complex_subunit_optional_ftr07649: 0

+

complex_subunit_triggering_ftr07649: 1

+

complex_subunit_features_ftr07649: FW510-R12_contig_1_3560

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01387: Acetate kinase (EC 2.7.2.1)

+

complex_subunit_optional_ftr01387: 0

+

complex_subunit_triggering_ftr01387: 1

+

complex_subunit_features_ftr01387: FW510-R12_contig_1_2281

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06119: Phosphatidylserine decarboxylase (EC 4.1.1.65)

+

complex_subunit_optional_ftr06119: 0

+

complex_subunit_triggering_ftr06119: 1

+

complex_subunit_features_ftr06119: FW510-R12_contig_1_1637;FW510-R12_contig_1_3010

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00229: Pyruvate kinase (EC 2.7.1.40)

+

complex_subunit_optional_ftr00229: 0

+

complex_subunit_triggering_ftr00229: 1

+

complex_subunit_features_ftr00229: FW510-R12_contig_1_3373

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00230: Glycerate kinase (EC 2.7.1.31)

+

complex_subunit_optional_ftr00230: 0

+

complex_subunit_triggering_ftr00230: 1

+

complex_subunit_features_ftr00230: FW510-R12_contig_1_214

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: FW510-R12_contig_1_3094

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01074: Dephospho-CoA kinase (EC 2.7.1.24)

+

complex_subunit_optional_ftr01074: 0

+

complex_subunit_triggering_ftr01074: 1

+

complex_subunit_features_ftr01074: FW510-R12_contig_1_1181

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00944: N-methylhydantoinase B (EC 3.5.2.14)

+

complex_subunit_optional_ftr00944: 0

+

complex_subunit_triggering_ftr00944: 1

+

complex_subunit_features_ftr00944: FW510-R12_contig_1_1723;FW510-R12_contig_1_3224

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00945: N-methylhydantoinase A (EC 3.5.2.14)

+

complex_subunit_optional_ftr00945: 0

+

complex_subunit_triggering_ftr00945: 1

+

complex_subunit_features_ftr00945: FW510-R12_contig_1_1724;FW510-R12_contig_1_3225

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00410: ATP phosphoribosyltransferase (EC 2.4.2.17) => HisGl

+

complex_subunit_optional_tftr00410: 0

+

complex_subunit_triggering_tftr00410: 1

+

complex_subunit_features_tftr00410: FW510-R12_contig_1_1669

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00004: Ketol-acid reductoisomerase (NADP(+)) (EC 1.1.1.86)

+

complex_subunit_optional_tftr00004: 0

+

complex_subunit_triggering_tftr00004: 1

+

complex_subunit_features_tftr00004: FW510-R12_contig_1_621

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: FW510-R12_contig_1_3094

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06631: NAD-dependent glyceraldehyde-3-phosphate dehydrogenase (EC 1.2.1.12)

+

complex_subunit_optional_ftr06631: 0

+

complex_subunit_triggering_ftr06631: 1

+

complex_subunit_features_ftr06631: FW510-R12_contig_1_3375

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10258: NAD(P)-dependent glyceraldehyde 3-phosphate dehydrogenase archaeal (EC 1.2.1.59)

+

complex_subunit_optional_ftr10258: 0

+

complex_subunit_triggering_ftr10258: 1

+

complex_subunit_features_ftr10258: FW510-R12_contig_1_39

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09870: Inositol-1-monophosphatase (EC 3.1.3.25)

+

complex_subunit_optional_ftr09870: 0

+

complex_subunit_triggering_ftr09870: 1

+

complex_subunit_features_ftr09870: FW510-R12_contig_1_3073

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02565: Sodium/glutamate symporter

+

complex_subunit_optional_ftr02565: 0

+

complex_subunit_triggering_ftr02565: 1

+

complex_subunit_features_ftr02565: FW510-R12_contig_1_1864

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02912: UDP-N-acetylglucosamine 2-epimerase (EC 5.1.3.14)

+

complex_subunit_optional_ftr02912: 0

+

complex_subunit_triggering_ftr02912: 1

+

complex_subunit_features_ftr02912: FW510-R12_contig_1_3005

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr30820: dihydroorotate dehydrogenase (quinone) (EC 1.3.5.2)

+

complex_subunit_optional_ftr30820: 0

+

complex_subunit_triggering_ftr30820: 1

+

complex_subunit_features_ftr30820: FW510-R12_contig_1_2508

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07650: Uroporphyrinogen-III synthase (EC 4.2.1.75)

+

complex_subunit_optional_ftr07650: 0

+

complex_subunit_triggering_ftr07650: 1

+

complex_subunit_features_ftr07650: FW510-R12_contig_1_309

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03142: Enoyl-CoA hydratase (EC 4.2.1.17)

+

complex_subunit_optional_ftr03142: 0

+

complex_subunit_triggering_ftr03142: 1

+

complex_subunit_features_ftr03142: FW510-R12_contig_1_2078;FW510-R12_contig_1_2110;FW510-R12_contig_1_2366;FW510-R12_contig_1_2638;FW510-R12_contig_1_2643;FW510-R12_contig_1_3234

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08499: Phospho-N-acetylmuramoyl-pentapeptide-transferase (EC 2.7.8.13)

+

complex_subunit_optional_ftr08499: 0

+

complex_subunit_triggering_ftr08499: 1

+

complex_subunit_features_ftr08499: FW510-R12_contig_1_3201

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08483: Adenylate kinase (EC 2.7.4.3)

+

complex_subunit_optional_ftr08483: 0

+

complex_subunit_triggering_ftr08483: 1

+

complex_subunit_features_ftr08483: FW510-R12_contig_1_362

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02823: 3-dehydroquinate synthase (EC 4.2.3.4)

+

complex_subunit_optional_ftr02823: 0

+

complex_subunit_triggering_ftr02823: 1

+

complex_subunit_features_ftr02823: FW510-R12_contig_1_1123;FW510-R12_contig_1_641

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr34768: alanine transaminase (EC 2.6.1.2)

+

complex_subunit_optional_ftr34768: 0

+

complex_subunit_triggering_ftr34768: 1

+

complex_subunit_features_ftr34768: FW510-R12_contig_1_812

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00973: Enoyl-[acyl-carrier-protein] reductase [NADH] (EC 1.3.1.9), FabV => refractory to triclosan

+

complex_subunit_optional_tftr00973: 0

+

complex_subunit_triggering_tftr00973: 1

+

complex_subunit_features_tftr00973: FW510-R12_contig_1_2344

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01437: Copper-translocating P-type ATPase (EC 3.6.3.4)

+

complex_subunit_optional_ftr01437: 0

+

complex_subunit_triggering_ftr01437: 1

+

complex_subunit_features_ftr01437: FW510-R12_contig_1_1714;FW510-R12_contig_1_2179;FW510-R12_contig_1_2323

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06315: Cob(I)alamin adenosyltransferase (EC 2.5.1.17)

+

complex_subunit_optional_ftr06315: 0

+

complex_subunit_triggering_ftr06315: 1

+

complex_subunit_features_ftr06315: FW510-R12_contig_1_1022

+ + + + + + +

complex_source: SEED

+

complex_subunit_note_ftr18: ATP:Cob(I)alamin adenosyltransferase (EC 2.5.1.17)

+

complex_subunit_optional_ftr18: 0

+

complex_subunit_triggering_ftr18: 1

+

complex_subunit_features_ftr18: FW510-R12_contig_1_3182

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01702: Serine hydroxymethyltransferase (EC 2.1.2.1)

+

complex_subunit_optional_ftr01702: 0

+

complex_subunit_triggering_ftr01702: 1

+

complex_subunit_features_ftr01702: FW510-R12_contig_1_1077

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05893: Argininosuccinate lyase (EC 4.3.2.1)

+

complex_subunit_optional_ftr05893: 0

+

complex_subunit_triggering_ftr05893: 1

+

complex_subunit_features_ftr05893: FW510-R12_contig_1_1498

+ + + + + + +

complex_source: PlantSEED

+

complex_subunit_note_ftr50229: Acyl-CoA thioesterase II (EC 3.1.2.-)

+

complex_subunit_optional_ftr50229: 0

+

complex_subunit_triggering_ftr50229: 1

+

complex_subunit_features_ftr50229: FW510-R12_contig_1_2752

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02813: Histidinol-phosphatase (EC 3.1.3.15)

+

complex_subunit_optional_ftr02813: 0

+

complex_subunit_triggering_ftr02813: 1

+

complex_subunit_features_ftr02813: FW510-R12_contig_1_1672

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02814: Histidinol-phosphatase [alternative form] (EC 3.1.3.15)

+

complex_subunit_optional_ftr02814: 0

+

complex_subunit_triggering_ftr02814: 1

+

complex_subunit_features_ftr02814: FW510-R12_contig_1_1155

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01885: Homogentisate 1,2-dioxygenase (EC 1.13.11.5)

+

complex_subunit_optional_ftr01885: 0

+

complex_subunit_triggering_ftr01885: 1

+

complex_subunit_features_ftr01885: FW510-R12_contig_1_3388

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04949: dTDP-glucose 4,6-dehydratase (EC 4.2.1.46)

+

complex_subunit_optional_ftr04949: 0

+

complex_subunit_triggering_ftr04949: 1

+

complex_subunit_features_ftr04949: FW510-R12_contig_1_875

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05824: Alcohol dehydrogenase (EC 1.1.1.1)

+

complex_subunit_optional_ftr05824: 0

+

complex_subunit_triggering_ftr05824: 1

+

complex_subunit_features_ftr05824: FW510-R12_contig_1_1015;FW510-R12_contig_1_1090;FW510-R12_contig_1_1802;FW510-R12_contig_1_2081;FW510-R12_contig_1_2341;FW510-R12_contig_1_2602

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03199: 1-deoxy-D-xylulose 5-phosphate reductoisomerase (EC 1.1.1.267)

+

complex_subunit_optional_ftr03199: 0

+

complex_subunit_triggering_ftr03199: 1

+

complex_subunit_features_ftr03199: FW510-R12_contig_1_1324

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11149: AMP nucleosidase (EC 3.2.2.4)

+

complex_subunit_optional_ftr11149: 0

+

complex_subunit_triggering_ftr11149: 1

+

complex_subunit_features_ftr11149: FW510-R12_contig_1_803

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03136: Acetyl-CoA acetyltransferase (EC 2.3.1.9)

+

complex_subunit_optional_ftr03136: 0

+

complex_subunit_triggering_ftr03136: 1

+

complex_subunit_features_ftr03136: FW510-R12_contig_1_2077;FW510-R12_contig_1_2111;FW510-R12_contig_1_2626;FW510-R12_contig_1_2683;FW510-R12_contig_1_3540

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03608: S-adenosylmethionine synthetase (EC 2.5.1.6)

+

complex_subunit_optional_ftr03608: 0

+

complex_subunit_triggering_ftr03608: 1

+

complex_subunit_features_ftr03608: FW510-R12_contig_1_3237

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01611: Orotate phosphoribosyltransferase (EC 2.4.2.10)

+

complex_subunit_optional_ftr01611: 0

+

complex_subunit_triggering_ftr01611: 1

+

complex_subunit_features_ftr01611: FW510-R12_contig_1_3518

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01425: GTP cyclohydrolase I (EC 3.5.4.16) type 2

+

complex_subunit_optional_ftr01425: 0

+

complex_subunit_triggering_ftr01425: 1

+

complex_subunit_features_ftr01425: FW510-R12_contig_1_1485

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00970: GTP cyclohydrolase I (EC 3.5.4.16) type 1

+

complex_subunit_optional_ftr00970: 0

+

complex_subunit_triggering_ftr00970: 1

+

complex_subunit_features_ftr00970: FW510-R12_contig_1_132;FW510-R12_contig_1_293

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07557: D(-)-3-hydroxybutyrate oligomer hydrolase (EC 3.1.1.22)

+

complex_subunit_optional_ftr07557: 0

+

complex_subunit_triggering_ftr07557: 1

+

complex_subunit_features_ftr07557: FW510-R12_contig_1_1855

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06142: Fructose-1,6-bisphosphatase, type I (EC 3.1.3.11)

+

complex_subunit_optional_ftr06142: 0

+

complex_subunit_triggering_ftr06142: 1

+

complex_subunit_features_ftr06142: FW510-R12_contig_1_28

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06369: 4-hydroxythreonine-4-phosphate dehydrogenase (EC 1.1.1.262)

+

complex_subunit_optional_ftr06369: 0

+

complex_subunit_triggering_ftr06369: 1

+

complex_subunit_features_ftr06369: FW510-R12_contig_1_3186

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04135: 5'-methylthioadenosine phosphorylase (EC 2.4.2.28)

+

complex_subunit_optional_ftr04135: 0

+

complex_subunit_triggering_ftr04135: 1

+

complex_subunit_features_ftr04135: FW510-R12_contig_1_2346

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01405: Aldehyde dehydrogenase (EC 1.2.1.3)

+

complex_subunit_optional_ftr01405: 0

+

complex_subunit_triggering_ftr01405: 1

+

complex_subunit_features_ftr01405: FW510-R12_contig_1_1235;FW510-R12_contig_1_253;FW510-R12_contig_1_76

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06551: 4-oxalocrotonate decarboxylase (EC 4.1.1.77)

+

complex_subunit_optional_ftr06551: 0

+

complex_subunit_triggering_ftr06551: 1

+

complex_subunit_features_ftr06551: FW510-R12_contig_1_2025

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05049: NAD kinase (EC 2.7.1.23)

+

complex_subunit_optional_ftr05049: 0

+

complex_subunit_triggering_ftr05049: 1

+

complex_subunit_features_ftr05049: FW510-R12_contig_1_1570

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03037: Enoyl-CoA hydratase [isoleucine degradation] (EC 4.2.1.17)

+

complex_subunit_optional_ftr03037: 0

+

complex_subunit_triggering_ftr03037: 1

+

complex_subunit_features_ftr03037: FW510-R12_contig_1_2682

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04030: Anthranilate synthase, aminase component (EC 4.1.3.27)

+

complex_subunit_optional_ftr04030: 0

+

complex_subunit_triggering_ftr04030: 1

+

complex_subunit_features_ftr04030: FW510-R12_contig_1_3361

+

complex_subunit_note_ftr04031: Anthranilate synthase, amidotransferase component (EC 4.1.3.27)

+

complex_subunit_optional_ftr04031: 0

+

complex_subunit_triggering_ftr04031: 1

+

complex_subunit_features_ftr04031: FW510-R12_contig_1_3343

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00441: Undecaprenyl-phosphate alpha-N-acetylglucosaminyl 1-phosphate transferase (EC 2.7.8.33)

+

complex_subunit_optional_tftr00441: 0

+

complex_subunit_triggering_tftr00441: 1

+

complex_subunit_features_tftr00441: FW510-R12_contig_1_2228

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02455: Arabinose-proton symporter

+

complex_subunit_optional_ftr02455: 0

+

complex_subunit_triggering_ftr02455: 1

+

complex_subunit_features_ftr02455: FW510-R12_contig_1_975

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: FW510-R12_contig_1_3094

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00746: Phosphoenolpyruvate carboxykinase [GTP] (EC 4.1.1.32)

+

complex_subunit_optional_ftr00746: 0

+

complex_subunit_triggering_ftr00746: 1

+

complex_subunit_features_ftr00746: FW510-R12_contig_1_920

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04193: Glycerol-3-phosphate dehydrogenase [NAD(P)+] (EC 1.1.1.94)

+

complex_subunit_optional_ftr04193: 0

+

complex_subunit_triggering_ftr04193: 1

+

complex_subunit_features_ftr04193: FW510-R12_contig_1_733

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr50480: 3-oxoacyl-[acyl-carrier-protein] synthase, KASIII (EC 2.3.1.180)

+

complex_subunit_optional_ftr50480: 0

+

complex_subunit_triggering_ftr50480: 1

+

complex_subunit_features_ftr50480: FW510-R12_contig_1_1750

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00305: 3-oxoacyl-[acyl-carrier protein] reductase (EC 1.1.1.100), FadG

+

complex_subunit_optional_tftr00305: 0

+

complex_subunit_triggering_tftr00305: 1

+

complex_subunit_features_tftr00305: FW510-R12_contig_1_1752

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07561: D-beta-hydroxybutyrate permease

+

complex_subunit_optional_ftr07561: 0

+

complex_subunit_triggering_ftr07561: 1

+

complex_subunit_features_ftr07561: FW510-R12_contig_1_1845

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02815: Histidinol dehydrogenase (EC 1.1.1.23)

+

complex_subunit_optional_ftr02815: 0

+

complex_subunit_triggering_ftr02815: 1

+

complex_subunit_features_ftr02815: FW510-R12_contig_1_1670

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04266: Trehalose phosphorylase (EC 2.4.1.64)

+

complex_subunit_optional_ftr04266: 0

+

complex_subunit_triggering_ftr04266: 1

+

complex_subunit_features_ftr04266: FW510-R12_contig_1_1001;FW510-R12_contig_1_1004

+

complex_subunit_note_ftr06899: Maltose phosphorylase (EC 2.4.1.8)

+

complex_subunit_optional_ftr06899: 0

+

complex_subunit_triggering_ftr06899: 1

+

complex_subunit_features_ftr06899: FW510-R12_contig_1_1001;FW510-R12_contig_1_1004

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10820: Glycine oxidase ThiO (EC 1.4.3.19)

+

complex_subunit_optional_ftr10820: 0

+

complex_subunit_triggering_ftr10820: 1

+

complex_subunit_features_ftr10820: FW510-R12_contig_1_762

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00080: Gamma-glutamyltranspeptidase (EC 2.3.2.2)

+

complex_subunit_optional_ftr00080: 0

+

complex_subunit_triggering_ftr00080: 1

+

complex_subunit_features_ftr00080: FW510-R12_contig_1_2991

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02137: Ammonium transporter

+

complex_subunit_optional_ftr02137: 0

+

complex_subunit_triggering_ftr02137: 1

+

complex_subunit_features_ftr02137: FW510-R12_contig_1_63

+ + + + + + +

complex_source: SEED

+

complex_subunit_note_ftr13: GMP synthase [glutamine-hydrolyzing], ATP pyrophosphatase subunit (EC 6.3.5.2)

+

complex_subunit_optional_ftr13: 0

+

complex_subunit_triggering_ftr13: 1

+

complex_subunit_features_ftr13: FW510-R12_contig_1_2197

+ + + + + + +

complex_source: SEED

+

complex_subunit_note_ftr12: GMP synthase [glutamine-hydrolyzing], amidotransferase subunit (EC 6.3.5.2)

+

complex_subunit_optional_ftr12: 0

+

complex_subunit_triggering_ftr12: 1

+

complex_subunit_features_ftr12: FW510-R12_contig_1_2197

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05896: Beta N-acetyl-glucosaminidase (EC 3.2.1.52)

+

complex_subunit_optional_ftr05896: 0

+

complex_subunit_triggering_ftr05896: 1

+

complex_subunit_features_ftr05896: FW510-R12_contig_1_2348

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07794: N-formylglutamate deformylase (EC 3.5.1.68)

+

complex_subunit_optional_ftr07794: 0

+

complex_subunit_triggering_ftr07794: 1

+

complex_subunit_features_ftr07794: FW510-R12_contig_1_1456

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05039: Kynurenine 3-monooxygenase (EC 1.14.13.9)

+

complex_subunit_optional_ftr05039: 0

+

complex_subunit_triggering_ftr05039: 1

+

complex_subunit_features_ftr05039: FW510-R12_contig_1_2490

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01636: GTP cyclohydrolase II (EC 3.5.4.25)

+

complex_subunit_optional_ftr01636: 0

+

complex_subunit_triggering_ftr01636: 1

+

complex_subunit_features_ftr01636: FW510-R12_contig_1_1081

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03029: Dihydrolipoamide acyltransferase component of branched-chain alpha-keto acid dehydrogenase complex (EC 2.3.1.168)

+

complex_subunit_optional_ftr03029: 0

+

complex_subunit_triggering_ftr03029: 1

+

complex_subunit_features_ftr03029: FW510-R12_contig_1_3405

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01884: 4-hydroxyphenylpyruvate dioxygenase (EC 1.13.11.27)

+

complex_subunit_optional_ftr01884: 0

+

complex_subunit_triggering_ftr01884: 1

+

complex_subunit_features_ftr01884: FW510-R12_contig_1_3389

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08306: Cystathionine gamma-synthase (EC 2.5.1.48)

+

complex_subunit_optional_ftr08306: 0

+

complex_subunit_triggering_ftr08306: 1

+

complex_subunit_features_ftr08306: FW510-R12_contig_1_943

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03956: 2-methylcitrate synthase (EC 2.3.3.5)

+

complex_subunit_optional_ftr03956: 0

+

complex_subunit_triggering_ftr03956: 1

+

complex_subunit_features_ftr03956: FW510-R12_contig_1_1866

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04451: Ornithine cyclodeaminase (EC 4.3.1.12)

+

complex_subunit_optional_ftr04451: 0

+

complex_subunit_triggering_ftr04451: 1

+

complex_subunit_features_ftr04451: FW510-R12_contig_1_1730

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: FW510-R12_contig_1_3094

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00794: Kup system potassium uptake protein

+

complex_subunit_optional_ftr00794: 0

+

complex_subunit_triggering_ftr00794: 1

+

complex_subunit_features_ftr00794: FW510-R12_contig_1_1026

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04857: 3-demethylubiquinol 3-O-methyltransferase (EC 2.1.1.64)

+

complex_subunit_optional_ftr04857: 0

+

complex_subunit_triggering_ftr04857: 1

+

complex_subunit_features_ftr04857: FW510-R12_contig_1_1482;FW510-R12_contig_1_642

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03033: Methylglutaconyl-CoA hydratase (EC 4.2.1.18)

+

complex_subunit_optional_ftr03033: 0

+

complex_subunit_triggering_ftr03033: 1

+

complex_subunit_features_ftr03033: FW510-R12_contig_1_1522

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01704: Methylenetetrahydrofolate dehydrogenase (NADP+) (EC 1.5.1.5)

+

complex_subunit_optional_ftr01704: 0

+

complex_subunit_triggering_ftr01704: 1

+

complex_subunit_features_ftr01704: FW510-R12_contig_1_2200

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05213: 3-deoxy-D-manno-octulosonate 8-phosphate phosphatase (EC 3.1.3.45)

+

complex_subunit_optional_ftr05213: 0

+

complex_subunit_triggering_ftr05213: 1

+

complex_subunit_features_ftr05213: FW510-R12_contig_1_3083

+ + + + + + +

complex_source: PlantSEED

+

complex_subunit_note_ftr50051: 4-hydroxy-tetrahydrodipicolinate synthase (EC 4.3.3.7)

+

complex_subunit_optional_ftr50051: 0

+

complex_subunit_triggering_ftr50051: 1

+

complex_subunit_features_ftr50051: FW510-R12_contig_1_2657

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00223: 2-hydroxy-3-oxopropionate reductase (EC 1.1.1.60)

+

complex_subunit_optional_ftr00223: 0

+

complex_subunit_triggering_ftr00223: 1

+

complex_subunit_features_ftr00223: FW510-R12_contig_1_2731

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03205: Undecaprenyl diphosphate synthase (EC 2.5.1.31)

+

complex_subunit_optional_ftr03205: 0

+

complex_subunit_triggering_ftr03205: 1

+

complex_subunit_features_ftr03205: FW510-R12_contig_1_1326

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07900: Isocitrate lyase (EC 4.1.3.1)

+

complex_subunit_optional_ftr07900: 0

+

complex_subunit_triggering_ftr07900: 1

+

complex_subunit_features_ftr07900: FW510-R12_contig_1_678

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01609: Dihydroorotase (EC 3.5.2.3)

+

complex_subunit_optional_ftr01609: 0

+

complex_subunit_triggering_ftr01609: 1

+

complex_subunit_features_ftr01609: FW510-R12_contig_1_741

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01186: Phosphate ABC transporter, permease protein PstA (TC 3.A.1.7.1)

+

complex_subunit_optional_tftr01186: 0

+

complex_subunit_triggering_tftr01186: 1

+

complex_subunit_features_tftr01186: FW510-R12_contig_1_1909

+

complex_subunit_note_tftr01054: Phosphate ABC transporter, ATP-binding protein PstB (TC 3.A.1.7.1)

+

complex_subunit_optional_tftr01054: 0

+

complex_subunit_triggering_tftr01054: 1

+

complex_subunit_features_tftr01054: FW510-R12_contig_1_1908

+

complex_subunit_note_tftr00967: Phosphate ABC transporter, substrate-binding protein PstS (TC 3.A.1.7.1)

+

complex_subunit_optional_tftr00967: 0

+

complex_subunit_triggering_tftr00967: 1

+

complex_subunit_features_tftr00967: FW510-R12_contig_1_1911;FW510-R12_contig_1_3490

+

complex_subunit_note_tftr00397: Phosphate ABC transporter, permease protein PstC (TC 3.A.1.7.1)

+

complex_subunit_optional_tftr00397: 0

+

complex_subunit_triggering_tftr00397: 1

+

complex_subunit_features_tftr00397: FW510-R12_contig_1_1910

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02529: ABC transporter, ATP-binding protein

+

complex_subunit_optional_ftr02529: 0

+

complex_subunit_triggering_ftr02529: 1

+

complex_subunit_features_ftr02529: FW510-R12_contig_1_1100;FW510-R12_contig_1_1103;FW510-R12_contig_1_1105;FW510-R12_contig_1_113;FW510-R12_contig_1_998

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05808: Dihydrolipoamide succinyltransferase component (E2) of 2-oxoglutarate dehydrogenase complex (EC 2.3.1.61)

+

complex_subunit_optional_ftr05808: 0

+

complex_subunit_triggering_ftr05808: 1

+

complex_subunit_features_ftr05808: FW510-R12_contig_1_1805

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08303: Homoserine dehydrogenase (EC 1.1.1.3)

+

complex_subunit_optional_ftr08303: 0

+

complex_subunit_triggering_ftr08303: 1

+

complex_subunit_features_ftr08303: FW510-R12_contig_1_636;FW510-R12_contig_1_944

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04716: Aspartate-semialdehyde dehydrogenase (EC 1.2.1.11)

+

complex_subunit_optional_ftr04716: 0

+

complex_subunit_triggering_ftr04716: 1

+

complex_subunit_features_ftr04716: FW510-R12_contig_1_1642

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03123: 3-phenylpropionate dioxygenase ferredoxin subunit

+

complex_subunit_optional_ftr03123: 0

+

complex_subunit_triggering_ftr03123: 1

+

complex_subunit_features_ftr03123: FW510-R12_contig_1_1370

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06770: Malate dehydrogenase (EC 1.1.1.37)

+

complex_subunit_optional_ftr06770: 0

+

complex_subunit_triggering_ftr06770: 1

+

complex_subunit_features_ftr06770: FW510-R12_contig_1_1860

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00393: N-acetylornithine aminotransferase (EC 2.6.1.11)

+

complex_subunit_optional_tftr00393: 0

+

complex_subunit_triggering_tftr00393: 1

+

complex_subunit_features_tftr00393: FW510-R12_contig_1_1352;FW510-R12_contig_1_366

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03613: Cystathionine gamma-lyase (EC 4.4.1.1)

+

complex_subunit_optional_ftr03613: 0

+

complex_subunit_triggering_ftr03613: 1

+

complex_subunit_features_ftr03613: FW510-R12_contig_1_877

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03955: Methylisocitrate lyase (EC 4.1.3.30)

+

complex_subunit_optional_ftr03955: 0

+

complex_subunit_triggering_ftr03955: 1

+

complex_subunit_features_ftr03955: FW510-R12_contig_1_1865

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06374: Riboflavin kinase (EC 2.7.1.26)

+

complex_subunit_optional_ftr06374: 0

+

complex_subunit_triggering_ftr06374: 1

+

complex_subunit_features_ftr06374: FW510-R12_contig_1_1528

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08446: Triosephosphate isomerase (EC 5.3.1.1)

+

complex_subunit_optional_ftr08446: 0

+

complex_subunit_triggering_ftr08446: 1

+

complex_subunit_features_ftr08446: FW510-R12_contig_1_2263

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01844: Fructose-bisphosphate aldolase class I (EC 4.1.2.13)

+

complex_subunit_optional_ftr01844: 0

+

complex_subunit_triggering_ftr01844: 1

+

complex_subunit_features_ftr01844: FW510-R12_contig_1_3371

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03196: Isopentenyl-diphosphate delta-isomerase (EC 5.3.3.2)

+

complex_subunit_optional_ftr03196: 0

+

complex_subunit_triggering_ftr03196: 1

+

complex_subunit_features_ftr03196: FW510-R12_contig_1_466

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02127: Methionine ABC transporter substrate-binding protein

+

complex_subunit_optional_ftr02127: 0

+

complex_subunit_triggering_ftr02127: 1

+

complex_subunit_features_ftr02127: FW510-R12_contig_1_2723

+

complex_subunit_note_ftr02128: Methionine ABC transporter permease protein

+

complex_subunit_optional_ftr02128: 0

+

complex_subunit_triggering_ftr02128: 1

+

complex_subunit_features_ftr02128: FW510-R12_contig_1_2722

+

complex_subunit_note_ftr12604: Methionine ABC transporter ATP-binding protein

+

complex_subunit_optional_ftr12604: 0

+

complex_subunit_triggering_ftr12604: 1

+

complex_subunit_features_ftr12604: FW510-R12_contig_1_2721

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01771: Glutamine synthetase type I (EC 6.3.1.2)

+

complex_subunit_optional_ftr01771: 0

+

complex_subunit_triggering_ftr01771: 1

+

complex_subunit_features_ftr01771: FW510-R12_contig_1_64

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05396: Porphobilinogen synthase (EC 4.2.1.24)

+

complex_subunit_optional_ftr05396: 0

+

complex_subunit_triggering_ftr05396: 1

+

complex_subunit_features_ftr05396: FW510-R12_contig_1_740

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04739: Acetyl-coenzyme A carboxyl transferase alpha chain (EC 6.4.1.2)

+

complex_subunit_optional_ftr04739: 0

+

complex_subunit_triggering_ftr04739: 1

+

complex_subunit_features_ftr04739: FW510-R12_contig_1_1313

+

complex_subunit_note_ftr04740: Acetyl-coenzyme A carboxyl transferase beta chain (EC 6.4.1.2)

+

complex_subunit_optional_ftr04740: 0

+

complex_subunit_triggering_ftr04740: 1

+

complex_subunit_features_ftr04740: FW510-R12_contig_1_1650

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00820: Phospholipase A1 (EC 3.1.1.32) (EC 3.1.1.4)

+

complex_subunit_optional_tftr00820: 0

+

complex_subunit_triggering_tftr00820: 1

+

complex_subunit_features_tftr00820: FW510-R12_contig_1_2718

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05915: Phosphoadenylyl-sulfate reductase [thioredoxin] (EC 1.8.4.8)

+

complex_subunit_optional_ftr05915: 0

+

complex_subunit_triggering_ftr05915: 1

+

complex_subunit_features_ftr05915: FW510-R12_contig_1_1812

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01013: Phosphopantetheine adenylyltransferase (EC 2.7.7.3)

+

complex_subunit_optional_ftr01013: 0

+

complex_subunit_triggering_ftr01013: 1

+

complex_subunit_features_ftr01013: FW510-R12_contig_1_2994

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02313: Nucleoside permease nupG

+

complex_subunit_optional_ftr02313: 0

+

complex_subunit_triggering_ftr02313: 1

+

complex_subunit_features_ftr02313: FW510-R12_contig_1_3213

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr31734: anhydro-N-acetylmuramic acid kinase (EC 2.7.1.170)

+

complex_subunit_optional_ftr31734: 0

+

complex_subunit_triggering_ftr31734: 1

+

complex_subunit_features_ftr31734: FW510-R12_contig_1_3514

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01631: Phosphoribosyl-AMP cyclohydrolase (EC 3.5.4.19)

+

complex_subunit_optional_ftr01631: 0

+

complex_subunit_triggering_ftr01631: 1

+

complex_subunit_features_ftr01631: FW510-R12_contig_1_1676

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01843: 2-dehydro-3-deoxyphosphogluconate aldolase (EC 4.1.2.14)

+

complex_subunit_optional_ftr01843: 0

+

complex_subunit_triggering_ftr01843: 1

+

complex_subunit_features_ftr01843: FW510-R12_contig_1_135

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07656: Precorrin-2 oxidase (EC 1.3.1.76)

+

complex_subunit_optional_ftr07656: 0

+

complex_subunit_triggering_ftr07656: 1

+

complex_subunit_features_ftr07656: FW510-R12_contig_1_1814

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04947: Glucose-1-phosphate thymidylyltransferase (EC 2.7.7.24)

+

complex_subunit_optional_ftr04947: 0

+

complex_subunit_triggering_ftr04947: 1

+

complex_subunit_features_ftr04947: FW510-R12_contig_1_874

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03025: Branched-chain amino acid aminotransferase (EC 2.6.1.42)

+

complex_subunit_optional_ftr03025: 0

+

complex_subunit_triggering_ftr03025: 1

+

complex_subunit_features_ftr03025: FW510-R12_contig_1_3249;FW510-R12_contig_1_626

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01876: Phenylalanine-4-hydroxylase (EC 1.14.16.1)

+

complex_subunit_optional_ftr01876: 0

+

complex_subunit_triggering_ftr01876: 1

+

complex_subunit_features_ftr01876: FW510-R12_contig_1_40

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04099: Guanylate kinase (EC 2.7.4.8)

+

complex_subunit_optional_ftr04099: 0

+

complex_subunit_triggering_ftr04099: 1

+

complex_subunit_features_ftr04099: FW510-R12_contig_1_3303

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11403: Hydroxymethylglutaryl-CoA reductase (EC 1.1.1.34)

+

complex_subunit_optional_ftr11403: 0

+

complex_subunit_triggering_ftr11403: 1

+

complex_subunit_features_ftr11403: FW510-R12_contig_1_467

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00503: Glutamine--fructose-6-phosphate aminotransferase [isomerizing] (EC 2.6.1.16)

+

complex_subunit_optional_tftr00503: 0

+

complex_subunit_triggering_tftr00503: 1

+

complex_subunit_features_tftr00503: FW510-R12_contig_1_2284;FW510-R12_contig_1_865

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09064: 6,7-dimethyl-8-ribityllumazine synthase (EC 2.5.1.78)

+

complex_subunit_optional_ftr09064: 0

+

complex_subunit_triggering_ftr09064: 1

+

complex_subunit_features_ftr09064: FW510-R12_contig_1_1084

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00737: Phosphoenolpyruvate synthase (EC 2.7.9.2)

+

complex_subunit_optional_ftr00737: 0

+

complex_subunit_triggering_ftr00737: 1

+

complex_subunit_features_ftr00737: FW510-R12_contig_1_2374

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00373: Chorismate mutase I (EC 5.4.99.5)

+

complex_subunit_optional_ftr00373: 0

+

complex_subunit_triggering_ftr00373: 1

+

complex_subunit_features_ftr00373: FW510-R12_contig_1_1923;FW510-R12_contig_1_2859

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00387: Prephenate dehydratase (EC 4.2.1.51)

+

complex_subunit_optional_ftr00387: 0

+

complex_subunit_triggering_ftr00387: 1

+

complex_subunit_features_ftr00387: FW510-R12_contig_1_1923

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07621: UTP--glucose-1-phosphate uridylyltransferase (EC 2.7.7.9)

+

complex_subunit_optional_ftr07621: 0

+

complex_subunit_triggering_ftr07621: 1

+

complex_subunit_features_ftr07621: FW510-R12_contig_1_2226

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10914: Long-chain fatty acid transport protein

+

complex_subunit_optional_ftr10914: 0

+

complex_subunit_triggering_ftr10914: 1

+

complex_subunit_features_ftr10914: FW510-R12_contig_1_252

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr33639: glutamate-1-semialdehyde 2,1-aminomutase (EC 5.4.3.8)

+

complex_subunit_optional_ftr33639: 0

+

complex_subunit_triggering_ftr33639: 1

+

complex_subunit_features_ftr33639: FW510-R12_contig_1_370

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01669: Ribose 5-phosphate isomerase A (EC 5.3.1.6)

+

complex_subunit_optional_ftr01669: 0

+

complex_subunit_triggering_ftr01669: 1

+

complex_subunit_features_ftr01669: FW510-R12_contig_1_3325

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00093: Shikimate 5-dehydrogenase I alpha (EC 1.1.1.25)

+

complex_subunit_optional_ftr00093: 0

+

complex_subunit_triggering_ftr00093: 1

+

complex_subunit_features_ftr00093: FW510-R12_contig_1_473

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02508: Glucose/mannose:H+ symporter GlcP

+

complex_subunit_optional_ftr02508: 0

+

complex_subunit_triggering_ftr02508: 1

+

complex_subunit_features_ftr02508: FW510-R12_contig_1_3065

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05048: Glutamine amidotransferase chain of NAD synthetase

+

complex_subunit_optional_ftr05048: 0

+

complex_subunit_triggering_ftr05048: 1

+

complex_subunit_features_ftr05048: FW510-R12_contig_1_1009

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00797: 2',3'-cyclic-nucleotide 2'-phosphodiesterase (EC 3.1.4.16)

+

complex_subunit_optional_ftr00797: 0

+

complex_subunit_triggering_ftr00797: 1

+

complex_subunit_features_ftr00797: FW510-R12_contig_1_647

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: FW510-R12_contig_1_3094

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00742: Phosphoenolpyruvate carboxylase (EC 4.1.1.31)

+

complex_subunit_optional_ftr00742: 0

+

complex_subunit_triggering_ftr00742: 1

+

complex_subunit_features_ftr00742: FW510-R12_contig_1_3244

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11148: Inosine-uridine preferring nucleoside hydrolase (EC 3.2.2.1)

+

complex_subunit_optional_ftr11148: 0

+

complex_subunit_triggering_ftr11148: 1

+

complex_subunit_features_ftr11148: FW510-R12_contig_1_3291

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01614: Amidophosphoribosyltransferase (EC 2.4.2.14)

+

complex_subunit_optional_ftr01614: 0

+

complex_subunit_triggering_ftr01614: 1

+

complex_subunit_features_ftr01614: FW510-R12_contig_1_1718

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03201: 2-C-methyl-D-erythritol 2,4-cyclodiphosphate synthase (EC 4.6.1.12)

+

complex_subunit_optional_ftr03201: 0

+

complex_subunit_triggering_ftr03201: 1

+

complex_subunit_features_ftr03201: FW510-R12_contig_1_2407

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr12702: Nucleoside triphosphate pyrophosphohydrolase MazG (EC 3.6.1.8)

+

complex_subunit_optional_ftr12702: 0

+

complex_subunit_triggering_ftr12702: 1

+

complex_subunit_features_ftr12702: FW510-R12_contig_1_1158

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00646: Phosphoribosylformimino-5-aminoimidazole carboxamide ribotide isomerase (EC 5.3.1.16)

+

complex_subunit_optional_ftr00646: 0

+

complex_subunit_triggering_ftr00646: 1

+

complex_subunit_features_ftr00646: FW510-R12_contig_1_1674

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06019: Thymidine phosphorylase (EC 2.4.2.4)

+

complex_subunit_optional_ftr06019: 0

+

complex_subunit_triggering_ftr06019: 1

+

complex_subunit_features_ftr06019: FW510-R12_contig_1_2181;FW510-R12_contig_1_2884;FW510-R12_contig_1_2907

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02933: N-acetylglucosamine-6-phosphate deacetylase (EC 3.5.1.25)

+

complex_subunit_optional_ftr02933: 0

+

complex_subunit_triggering_ftr02933: 1

+

complex_subunit_features_ftr02933: FW510-R12_contig_1_141

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04748: Acyl carrier protein phosphodiesterase (EC 3.1.4.14)

+

complex_subunit_optional_ftr04748: 0

+

complex_subunit_triggering_ftr04748: 1

+

complex_subunit_features_ftr04748: FW510-R12_contig_1_513

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07912: Succinyl-CoA ligase [ADP-forming] alpha chain (EC 6.2.1.5)

+

complex_subunit_optional_ftr07912: 0

+

complex_subunit_triggering_ftr07912: 1

+

complex_subunit_features_ftr07912: FW510-R12_contig_1_1008

+

complex_subunit_note_ftr07913: Succinyl-CoA ligase [ADP-forming] beta chain (EC 6.2.1.5)

+

complex_subunit_optional_ftr07913: 0

+

complex_subunit_triggering_ftr07913: 1

+

complex_subunit_features_ftr07913: FW510-R12_contig_1_1007

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04206: Lipoate-protein ligase A

+

complex_subunit_optional_ftr04206: 0

+

complex_subunit_triggering_ftr04206: 1

+

complex_subunit_features_ftr04206: FW510-R12_contig_1_2793;FW510-R12_contig_1_2794

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06584: NAD-specific glutamate dehydrogenase (EC 1.4.1.2), large form

+

complex_subunit_optional_ftr06584: 0

+

complex_subunit_triggering_ftr06584: 1

+

complex_subunit_features_ftr06584: FW510-R12_contig_1_1569

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11502: Thiosulfate sulfurtransferase, rhodanese (EC 2.8.1.1)

+

complex_subunit_optional_ftr11502: 0

+

complex_subunit_triggering_ftr11502: 1

+

complex_subunit_features_ftr11502: FW510-R12_contig_1_2639

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: FW510-R12_contig_1_3094

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07792: Imidazolonepropionase (EC 3.5.2.7)

+

complex_subunit_optional_ftr07792: 0

+

complex_subunit_triggering_ftr07792: 1

+

complex_subunit_features_ftr07792: FW510-R12_contig_1_2463

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01049: Branched-chain amino acid dehydrogenase [deaminating] (EC 1.4.1.9)(EC 1.4.1.23)

+

complex_subunit_optional_tftr01049: 0

+

complex_subunit_triggering_tftr01049: 1

+

complex_subunit_features_tftr01049: FW510-R12_contig_1_2621

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09094: NADPH-dependent methylglyoxal reductase (D-lactaldehyde dehydrogenase)

+

complex_subunit_optional_ftr09094: 0

+

complex_subunit_triggering_ftr09094: 1

+

complex_subunit_features_ftr09094: FW510-R12_contig_1_2427

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr16091: Biotin--protein ligase (EC 6.3.4.9, EC 6.3.4.10, EC 6.3.4.11, EC 6.3.4.15)

+

complex_subunit_optional_ftr16091: 0

+

complex_subunit_triggering_ftr16091: 1

+

complex_subunit_features_ftr16091: FW510-R12_contig_1_3419

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01710: Thymidine kinase (EC 2.7.1.21)

+

complex_subunit_optional_ftr01710: 0

+

complex_subunit_triggering_ftr01710: 1

+

complex_subunit_features_ftr01710: FW510-R12_contig_1_721

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07238: D-mannose isomerase (EC 5.3.1.7)

+

complex_subunit_optional_ftr07238: 0

+

complex_subunit_triggering_ftr07238: 1

+

complex_subunit_features_ftr07238: FW510-R12_contig_1_991

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04852: 4-hydroxybenzoate polyprenyltransferase (EC 2.5.1.39)

+

complex_subunit_optional_ftr04852: 0

+

complex_subunit_triggering_ftr04852: 1

+

complex_subunit_features_ftr04852: FW510-R12_contig_1_616

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04238: Superoxide dismutase [Fe] (EC 1.15.1.1)

+

complex_subunit_optional_ftr04238: 0

+

complex_subunit_triggering_ftr04238: 1

+

complex_subunit_features_ftr04238: FW510-R12_contig_1_2903

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01382: Dihydrolipoamide acetyltransferase component of pyruvate dehydrogenase complex (EC 2.3.1.12)

+

complex_subunit_optional_ftr01382: 0

+

complex_subunit_triggering_ftr01382: 1

+

complex_subunit_features_ftr01382: FW510-R12_contig_1_838

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03043: Succinyl-CoA:3-ketoacid-coenzyme A transferase subunit B (EC 2.8.3.5)

+

complex_subunit_optional_ftr03043: 0

+

complex_subunit_triggering_ftr03043: 1

+

complex_subunit_features_ftr03043: FW510-R12_contig_1_1167

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04439: Biosynthetic arginine decarboxylase (EC 4.1.1.19)

+

complex_subunit_optional_ftr04439: 0

+

complex_subunit_triggering_ftr04439: 1

+

complex_subunit_features_ftr04439: FW510-R12_contig_1_3531

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01622: Coproporphyrinogen III oxidase, oxygen-independent (EC 1.3.99.22)

+

complex_subunit_optional_ftr01622: 0

+

complex_subunit_triggering_ftr01622: 1

+

complex_subunit_features_ftr01622: FW510-R12_contig_1_3386

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01408: Acyl carrier protein

+

complex_subunit_optional_ftr01408: 1

+

complex_subunit_triggering_ftr01408: 0

+

complex_subunit_features_ftr01408: FW510-R12_contig_1_1377;FW510-R12_contig_1_1753;FW510-R12_contig_1_442

+

complex_subunit_note_ftr09922: Glycerol-3-phosphate acyltransferase (EC 2.3.1.15)

+

complex_subunit_optional_ftr09922: 0

+

complex_subunit_triggering_ftr09922: 1

+

complex_subunit_features_ftr09922: FW510-R12_contig_1_715

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08428: Hydroxymethylpyrimidine phosphate kinase ThiD (EC 2.7.4.7)

+

complex_subunit_optional_ftr08428: 0

+

complex_subunit_triggering_ftr08428: 1

+

complex_subunit_features_ftr08428: FW510-R12_contig_1_767

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03123: 3-phenylpropionate dioxygenase ferredoxin subunit

+

complex_subunit_optional_ftr03123: 0

+

complex_subunit_triggering_ftr03123: 1

+

complex_subunit_features_ftr03123: FW510-R12_contig_1_1370

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05212: Lipid-A-disaccharide synthase (EC 2.4.1.182)

+

complex_subunit_optional_ftr05212: 0

+

complex_subunit_triggering_ftr05212: 1

+

complex_subunit_features_ftr05212: FW510-R12_contig_1_1318

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06574: Aspartate aminotransferase (EC 2.6.1.1)

+

complex_subunit_optional_ftr06574: 0

+

complex_subunit_triggering_ftr06574: 1

+

complex_subunit_features_ftr06574: FW510-R12_contig_1_1832;FW510-R12_contig_1_1859;FW510-R12_contig_1_2448

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04026: 5-carboxymethyl-2-hydroxymuconate semialdehyde dehydrogenase (EC 1.2.1.60)

+

complex_subunit_optional_ftr04026: 0

+

complex_subunit_triggering_ftr04026: 1

+

complex_subunit_features_ftr04026: FW510-R12_contig_1_1460

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05090: Muramoyltetrapeptide carboxypeptidase (EC 3.4.17.13)

+

complex_subunit_optional_ftr05090: 0

+

complex_subunit_triggering_ftr05090: 1

+

complex_subunit_features_ftr05090: FW510-R12_contig_1_1083

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03831: Homoserine kinase (EC 2.7.1.39)

+

complex_subunit_optional_ftr03831: 0

+

complex_subunit_triggering_ftr03831: 1

+

complex_subunit_features_ftr03831: FW510-R12_contig_1_635

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11096: Galactonate dehydratase (EC 4.2.1.6)

+

complex_subunit_optional_ftr11096: 0

+

complex_subunit_triggering_ftr11096: 1

+

complex_subunit_features_ftr11096: FW510-R12_contig_1_978

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09455: Lysine 2,3-aminomutase (EC 5.4.3.2)

+

complex_subunit_optional_ftr09455: 0

+

complex_subunit_triggering_ftr09455: 1

+

complex_subunit_features_ftr09455: FW510-R12_contig_1_1478

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00499: Proton/glutamate symporter

+

complex_subunit_optional_tftr00499: 0

+

complex_subunit_triggering_tftr00499: 1

+

complex_subunit_features_tftr00499: FW510-R12_contig_1_1864

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02986: 4-diphosphocytidyl-2-C-methyl-D-erythritol kinase (EC 2.7.1.148)

+

complex_subunit_optional_ftr02986: 0

+

complex_subunit_triggering_ftr02986: 1

+

complex_subunit_features_ftr02986: FW510-R12_contig_1_1242

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01632: Phosphoglycerate kinase (EC 2.7.2.3)

+

complex_subunit_optional_ftr01632: 0

+

complex_subunit_triggering_ftr01632: 1

+

complex_subunit_features_ftr01632: FW510-R12_contig_1_858

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02804: Adenylosuccinate synthetase (EC 6.3.4.4)

+

complex_subunit_optional_ftr02804: 0

+

complex_subunit_triggering_ftr02804: 1

+

complex_subunit_features_ftr02804: FW510-R12_contig_1_1883

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00735: Carbonic anhydrase, beta class (EC 4.2.1.1)

+

complex_subunit_optional_tftr00735: 0

+

complex_subunit_triggering_tftr00735: 1

+

complex_subunit_features_tftr00735: FW510-R12_contig_1_1459

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00441: Chorismate synthase (EC 4.2.3.5)

+

complex_subunit_optional_ftr00441: 0

+

complex_subunit_triggering_ftr00441: 1

+

complex_subunit_features_ftr00441: FW510-R12_contig_1_1640

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02960: Phenylalanyl-tRNA synthetase alpha chain (EC 6.1.1.20)

+

complex_subunit_optional_ftr02960: 0

+

complex_subunit_triggering_ftr02960: 1

+

complex_subunit_features_ftr02960: FW510-R12_contig_1_1341

+

complex_subunit_note_ftr04753: SSU ribosomal protein S4p (S9e)

+

complex_subunit_optional_ftr04753: 0

+

complex_subunit_triggering_ftr04753: 1

+

complex_subunit_features_ftr04753: FW510-R12_contig_1_1287

+

complex_subunit_note_ftr01514: LSU ribosomal protein L28p

+

complex_subunit_optional_ftr01514: 0

+

complex_subunit_triggering_ftr01514: 1

+

complex_subunit_features_ftr01514: FW510-R12_contig_1_731

+

complex_subunit_note_ftr02963: Glycyl-tRNA synthetase alpha chain (EC 6.1.1.14)

+

complex_subunit_optional_ftr02963: 0

+

complex_subunit_triggering_ftr02963: 1

+

complex_subunit_features_ftr02963: FW510-R12_contig_1_378

+

complex_subunit_note_ftr06990: LSU ribosomal protein L5p (L11e)

+

complex_subunit_optional_ftr06990: 0

+

complex_subunit_triggering_ftr06990: 1

+

complex_subunit_features_ftr06990: FW510-R12_contig_1_1276

+

complex_subunit_note_ftr06965: LSU ribosomal protein L32p

+

complex_subunit_optional_ftr06965: 0

+

complex_subunit_triggering_ftr06965: 1

+

complex_subunit_features_ftr06965: FW510-R12_contig_1_1749

+

complex_subunit_note_ftr02977: Tryptophanyl-tRNA synthetase (EC 6.1.1.2)

+

complex_subunit_optional_ftr02977: 0

+

complex_subunit_triggering_ftr02977: 1

+

complex_subunit_features_ftr02977: FW510-R12_contig_1_3412

+

complex_subunit_note_ftr07008: LSU ribosomal protein L25p

+

complex_subunit_optional_ftr07008: 0

+

complex_subunit_triggering_ftr07008: 1

+

complex_subunit_features_ftr07008: FW510-R12_contig_1_1244

+

complex_subunit_note_ftr02805: Histidyl-tRNA synthetase (EC 6.1.1.21)

+

complex_subunit_optional_ftr02805: 0

+

complex_subunit_triggering_ftr02805: 1

+

complex_subunit_features_ftr02805: FW510-R12_contig_1_1731

+

complex_subunit_note_ftr08356: SSU ribosomal protein S19p (S15e)

+

complex_subunit_optional_ftr08356: 0

+

complex_subunit_triggering_ftr08356: 1

+

complex_subunit_features_ftr08356: FW510-R12_contig_1_1268

+

complex_subunit_note_ftr07013: LSU ribosomal protein L33p

+

complex_subunit_optional_ftr07013: 0

+

complex_subunit_triggering_ftr07013: 1

+

complex_subunit_features_ftr07013: FW510-R12_contig_1_730

+

complex_subunit_note_tftr01102: LSU ribosomal protein L7p/L12p (P1/P2)

+

complex_subunit_optional_tftr01102: 0

+

complex_subunit_triggering_tftr01102: 1

+

complex_subunit_features_tftr01102: FW510-R12_contig_1_1256

+

complex_subunit_note_ftr06997: LSU ribosomal protein L14p (L23e)

+

complex_subunit_optional_ftr06997: 0

+

complex_subunit_triggering_ftr06997: 1

+

complex_subunit_features_ftr06997: FW510-R12_contig_1_1274

+

complex_subunit_note_ftr07006: LSU ribosomal protein L23p (L23Ae)

+

complex_subunit_optional_ftr07006: 0

+

complex_subunit_triggering_ftr07006: 1

+

complex_subunit_features_ftr07006: FW510-R12_contig_1_1266

+

complex_subunit_note_ftr02976: Valyl-tRNA synthetase (EC 6.1.1.9)

+

complex_subunit_optional_ftr02976: 0

+

complex_subunit_triggering_ftr02976: 1

+

complex_subunit_features_ftr02976: FW510-R12_contig_1_1119

+

complex_subunit_note_ftr02972: Arginyl-tRNA synthetase (EC 6.1.1.19)

+

complex_subunit_optional_ftr02972: 0

+

complex_subunit_triggering_ftr02972: 1

+

complex_subunit_features_ftr02972: FW510-R12_contig_1_3524

+

complex_subunit_note_ftr07070: SSU ribosomal protein S5p (S2e)

+

complex_subunit_optional_ftr07070: 0

+

complex_subunit_triggering_ftr07070: 1

+

complex_subunit_features_ftr07070: FW510-R12_contig_1_1281

+

complex_subunit_note_ftr06995: LSU ribosomal protein L11p (L12e)

+

complex_subunit_optional_ftr06995: 0

+

complex_subunit_triggering_ftr06995: 1

+

complex_subunit_features_ftr06995: FW510-R12_contig_1_1253

+

complex_subunit_note_ftr08349: SSU ribosomal protein S10p (S20e)

+

complex_subunit_optional_ftr08349: 0

+

complex_subunit_triggering_ftr08349: 1

+

complex_subunit_features_ftr08349: FW510-R12_contig_1_1263

+

complex_subunit_note_ftr08354: SSU ribosomal protein S17p (S11e)

+

complex_subunit_optional_ftr08354: 0

+

complex_subunit_triggering_ftr08354: 1

+

complex_subunit_features_ftr08354: FW510-R12_contig_1_1273

+

complex_subunit_note_ftr08355: SSU ribosomal protein S18p

+

complex_subunit_optional_ftr08355: 0

+

complex_subunit_triggering_ftr08355: 1

+

complex_subunit_features_ftr08355: FW510-R12_contig_1_1467

+

complex_subunit_note_ftr08348: SSU ribosomal protein S9p (S16e)

+

complex_subunit_optional_ftr08348: 0

+

complex_subunit_triggering_ftr08348: 1

+

complex_subunit_features_ftr08348: FW510-R12_contig_1_3327

+

complex_subunit_note_ftr08353: SSU ribosomal protein S16p

+

complex_subunit_optional_ftr08353: 0

+

complex_subunit_triggering_ftr08353: 1

+

complex_subunit_features_ftr08353: FW510-R12_contig_1_1473

+

complex_subunit_note_ftr06989: LSU ribosomal protein L4p (L1e)

+

complex_subunit_optional_ftr06989: 0

+

complex_subunit_triggering_ftr06989: 1

+

complex_subunit_features_ftr06989: FW510-R12_contig_1_1265

+

complex_subunit_note_ftr01703: Methionyl-tRNA formyltransferase (EC 2.1.2.9)

+

complex_subunit_optional_ftr01703: 0

+

complex_subunit_triggering_ftr01703: 1

+

complex_subunit_features_ftr01703: FW510-R12_contig_1_585

+

complex_subunit_note_ftr15577: tRNA(Ile)-lysidine synthetase (EC 6.3.4.19)

+

complex_subunit_optional_ftr15577: 0

+

complex_subunit_triggering_ftr15577: 1

+

complex_subunit_features_ftr15577: FW510-R12_contig_1_1311

+

complex_subunit_note_ftr06994: LSU ribosomal protein L10p (P0)

+

complex_subunit_optional_ftr06994: 0

+

complex_subunit_triggering_ftr06994: 1

+

complex_subunit_features_ftr06994: FW510-R12_contig_1_1255

+

complex_subunit_note_ftr08344: SSU ribosomal protein S3p (S3e)

+

complex_subunit_optional_ftr08344: 0

+

complex_subunit_triggering_ftr08344: 1

+

complex_subunit_features_ftr08344: FW510-R12_contig_1_1270

+

complex_subunit_note_ftr07005: LSU ribosomal protein L22p (L17e)

+

complex_subunit_optional_ftr07005: 0

+

complex_subunit_triggering_ftr07005: 1

+

complex_subunit_features_ftr07005: FW510-R12_contig_1_1269

+

complex_subunit_note_ftr02961: Phenylalanyl-tRNA synthetase beta chain (EC 6.1.1.20)

+

complex_subunit_optional_ftr02961: 0

+

complex_subunit_triggering_ftr02961: 1

+

complex_subunit_features_ftr02961: FW510-R12_contig_1_1342

+

complex_subunit_note_ftr07002: LSU ribosomal protein L19p

+

complex_subunit_optional_ftr07002: 0

+

complex_subunit_triggering_ftr07002: 1

+

complex_subunit_features_ftr07002: FW510-R12_contig_1_1476

+

complex_subunit_note_ftr02965: Isoleucyl-tRNA synthetase (EC 6.1.1.5)

+

complex_subunit_optional_ftr02965: 0

+

complex_subunit_triggering_ftr02965: 1

+

complex_subunit_features_ftr02965: FW510-R12_contig_1_1531

+

complex_subunit_note_ftr07009: LSU ribosomal protein L27p

+

complex_subunit_optional_ftr07009: 0

+

complex_subunit_triggering_ftr07009: 1

+

complex_subunit_features_ftr07009: FW510-R12_contig_1_2632

+

complex_subunit_note_ftr08346: SSU ribosomal protein S7p (S5e)

+

complex_subunit_optional_ftr08346: 0

+

complex_subunit_triggering_ftr08346: 1

+

complex_subunit_features_ftr08346: FW510-R12_contig_1_1260

+

complex_subunit_note_ftr07010: LSU ribosomal protein L29p (L35e)

+

complex_subunit_optional_ftr07010: 0

+

complex_subunit_triggering_ftr07010: 1

+

complex_subunit_features_ftr07010: FW510-R12_contig_1_1272

+

complex_subunit_note_ftr08105: SSU ribosomal protein S20p

+

complex_subunit_optional_ftr08105: 0

+

complex_subunit_triggering_ftr08105: 1

+

complex_subunit_features_ftr08105: FW510-R12_contig_1_1526

+

complex_subunit_note_ftr02956: Cysteinyl-tRNA synthetase (EC 6.1.1.16)

+

complex_subunit_optional_ftr02956: 0

+

complex_subunit_triggering_ftr02956: 1

+

complex_subunit_features_ftr02956: FW510-R12_contig_1_1489

+

complex_subunit_note_ftr00089: Alanyl-tRNA synthetase (EC 6.1.1.7)

+

complex_subunit_optional_ftr00089: 0

+

complex_subunit_triggering_ftr00089: 1

+

complex_subunit_features_ftr00089: FW510-R12_contig_1_2675

+

complex_subunit_note_ftr07015: LSU ribosomal protein L35p

+

complex_subunit_optional_ftr07015: 0

+

complex_subunit_triggering_ftr07015: 1

+

complex_subunit_features_ftr07015: FW510-R12_contig_1_1339

+

complex_subunit_note_ftr02978: Tyrosyl-tRNA synthetase (EC 6.1.1.1)

+

complex_subunit_optional_ftr02978: 0

+

complex_subunit_triggering_ftr02978: 1

+

complex_subunit_features_ftr02978: FW510-R12_contig_1_3512

+

complex_subunit_note_ftr08352: SSU ribosomal protein S14p (S29e)

+

complex_subunit_optional_ftr08352: 0

+

complex_subunit_triggering_ftr08352: 1

+

complex_subunit_features_ftr08352: FW510-R12_contig_1_1277

+

complex_subunit_note_ftr02959: Glutamyl-tRNA synthetase (EC 6.1.1.17)

+

complex_subunit_optional_ftr02959: 0

+

complex_subunit_triggering_ftr02959: 1

+

complex_subunit_features_ftr02959: FW510-R12_contig_1_1654

+

complex_subunit_note_ftr02973: Seryl-tRNA synthetase (EC 6.1.1.11)

+

complex_subunit_optional_ftr02973: 0

+

complex_subunit_triggering_ftr02973: 1

+

complex_subunit_features_ftr02973: FW510-R12_contig_1_2301

+

complex_subunit_note_ftr02968: Leucyl-tRNA synthetase (EC 6.1.1.4)

+

complex_subunit_optional_ftr02968: 0

+

complex_subunit_triggering_ftr02968: 1

+

complex_subunit_features_ftr02968: FW510-R12_contig_1_1419

+

complex_subunit_note_ftr08347: SSU ribosomal protein S8p (S15Ae)

+

complex_subunit_optional_ftr08347: 0

+

complex_subunit_triggering_ftr08347: 1

+

complex_subunit_features_ftr08347: FW510-R12_contig_1_1278

+

complex_subunit_note_ftr02967: Lysyl-tRNA synthetase (class II) (EC 6.1.1.6)

+

complex_subunit_optional_ftr02967: 0

+

complex_subunit_triggering_ftr02967: 1

+

complex_subunit_features_ftr02967: FW510-R12_contig_1_1940

+

complex_subunit_note_ftr06999: LSU ribosomal protein L16p (L10e)

+

complex_subunit_optional_ftr06999: 0

+

complex_subunit_triggering_ftr06999: 1

+

complex_subunit_features_ftr06999: FW510-R12_contig_1_1271

+

complex_subunit_note_ftr07596: SSU ribosomal protein S15p (S13e)

+

complex_subunit_optional_ftr07596: 0

+

complex_subunit_triggering_ftr07596: 1

+

complex_subunit_features_ftr07596: FW510-R12_contig_1_1791

+

complex_subunit_note_ftr06998: LSU ribosomal protein L15p (L27Ae)

+

complex_subunit_optional_ftr06998: 0

+

complex_subunit_triggering_ftr06998: 1

+

complex_subunit_features_ftr06998: FW510-R12_contig_1_1283

+

complex_subunit_note_ftr07007: LSU ribosomal protein L24p (L26e)

+

complex_subunit_optional_ftr07007: 0

+

complex_subunit_triggering_ftr07007: 1

+

complex_subunit_features_ftr07007: FW510-R12_contig_1_1275

+

complex_subunit_note_ftr06986: LSU ribosomal protein L1p (L10Ae)

+

complex_subunit_optional_ftr06986: 0

+

complex_subunit_triggering_ftr06986: 1

+

complex_subunit_features_ftr06986: FW510-R12_contig_1_1254

+

complex_subunit_note_ftr00140: SSU ribosomal protein S21p

+

complex_subunit_optional_ftr00140: 0

+

complex_subunit_triggering_ftr00140: 1

+

complex_subunit_features_ftr00140: FW510-R12_contig_1_275

+

complex_subunit_note_ftr05400: LSU ribosomal protein L9p

+

complex_subunit_optional_ftr05400: 0

+

complex_subunit_triggering_ftr05400: 1

+

complex_subunit_features_ftr05400: FW510-R12_contig_1_1468

+

complex_subunit_note_ftr08351: SSU ribosomal protein S13p (S18e)

+

complex_subunit_optional_ftr08351: 0

+

complex_subunit_triggering_ftr08351: 1

+

complex_subunit_features_ftr08351: FW510-R12_contig_1_1285

+

complex_subunit_note_ftr07004: LSU ribosomal protein L21p

+

complex_subunit_optional_ftr07004: 0

+

complex_subunit_triggering_ftr07004: 1

+

complex_subunit_features_ftr07004: FW510-R12_contig_1_2633

+

complex_subunit_note_ftr07014: LSU ribosomal protein L34p

+

complex_subunit_optional_ftr07014: 0

+

complex_subunit_triggering_ftr07014: 1

+

complex_subunit_features_ftr07014: FW510-R12_contig_1_3563

+

complex_subunit_note_ftr06996: LSU ribosomal protein L13p (L13Ae)

+

complex_subunit_optional_ftr06996: 0

+

complex_subunit_triggering_ftr06996: 1

+

complex_subunit_features_ftr06996: FW510-R12_contig_1_3328

+

complex_subunit_note_ftr06988: LSU ribosomal protein L3p (L3e)

+

complex_subunit_optional_ftr06988: 0

+

complex_subunit_triggering_ftr06988: 1

+

complex_subunit_features_ftr06988: FW510-R12_contig_1_1264

+

complex_subunit_note_ftr07012: LSU ribosomal protein L31p

+

complex_subunit_optional_ftr07012: 0

+

complex_subunit_triggering_ftr07012: 1

+

complex_subunit_features_ftr07012: FW510-R12_contig_1_3290

+

complex_subunit_note_ftr06991: LSU ribosomal protein L6p (L9e)

+

complex_subunit_optional_ftr06991: 0

+

complex_subunit_triggering_ftr06991: 1

+

complex_subunit_features_ftr06991: FW510-R12_contig_1_1279

+

complex_subunit_note_ftr01816: SSU ribosomal protein S12p (S23e)

+

complex_subunit_optional_ftr01816: 0

+

complex_subunit_triggering_ftr01816: 1

+

complex_subunit_features_ftr01816: FW510-R12_contig_1_1259

+

complex_subunit_note_ftr02970: Asparaginyl-tRNA synthetase (EC 6.1.1.22)

+

complex_subunit_optional_ftr02970: 0

+

complex_subunit_triggering_ftr02970: 1

+

complex_subunit_features_ftr02970: FW510-R12_contig_1_1464

+

complex_subunit_note_ftr07011: LSU ribosomal protein L30p (L7e)

+

complex_subunit_optional_ftr07011: 0

+

complex_subunit_triggering_ftr07011: 1

+

complex_subunit_features_ftr07011: FW510-R12_contig_1_1282

+

complex_subunit_note_ftr08350: SSU ribosomal protein S11p (S14e)

+

complex_subunit_optional_ftr08350: 0

+

complex_subunit_triggering_ftr08350: 1

+

complex_subunit_features_ftr08350: FW510-R12_contig_1_1286

+

complex_subunit_note_ftr02969: Methionyl-tRNA synthetase (EC 6.1.1.10)

+

complex_subunit_optional_ftr02969: 0

+

complex_subunit_triggering_ftr02969: 1

+

complex_subunit_features_ftr02969: FW510-R12_contig_1_1620

+

complex_subunit_note_ftr07000: LSU ribosomal protein L17p

+

complex_subunit_optional_ftr07000: 0

+

complex_subunit_triggering_ftr07000: 1

+

complex_subunit_features_ftr07000: FW510-R12_contig_1_1289

+

complex_subunit_note_ftr07001: LSU ribosomal protein L18p (L5e)

+

complex_subunit_optional_ftr07001: 0

+

complex_subunit_triggering_ftr07001: 1

+

complex_subunit_features_ftr07001: FW510-R12_contig_1_1280

+

complex_subunit_note_ftr06987: LSU ribosomal protein L2p (L8e)

+

complex_subunit_optional_ftr06987: 0

+

complex_subunit_triggering_ftr06987: 1

+

complex_subunit_features_ftr06987: FW510-R12_contig_1_1267

+

complex_subunit_note_ftr02636: SSU ribosomal protein S2p (SAe)

+

complex_subunit_optional_ftr02636: 0

+

complex_subunit_triggering_ftr02636: 1

+

complex_subunit_features_ftr02636: FW510-R12_contig_1_1330

+

complex_subunit_note_ftr02964: Glycyl-tRNA synthetase beta chain (EC 6.1.1.14)

+

complex_subunit_optional_ftr02964: 0

+

complex_subunit_triggering_ftr02964: 1

+

complex_subunit_features_ftr02964: FW510-R12_contig_1_379

+

complex_subunit_note_ftr08345: SSU ribosomal protein S6p

+

complex_subunit_optional_ftr08345: 0

+

complex_subunit_triggering_ftr08345: 1

+

complex_subunit_features_ftr08345: FW510-R12_contig_1_1466

+

complex_subunit_note_ftr07003: LSU ribosomal protein L20p

+

complex_subunit_optional_ftr07003: 0

+

complex_subunit_triggering_ftr07003: 1

+

complex_subunit_features_ftr07003: FW510-R12_contig_1_1340

+

complex_subunit_note_ftr02975: Threonyl-tRNA synthetase (EC 6.1.1.3)

+

complex_subunit_optional_ftr02975: 0

+

complex_subunit_triggering_ftr02975: 1

+

complex_subunit_features_ftr02975: FW510-R12_contig_1_1335

+

complex_subunit_note_ftr02958: Aspartyl-tRNA synthetase (EC 6.1.1.12)

+

complex_subunit_optional_ftr02958: 0

+

complex_subunit_triggering_ftr02958: 1

+

complex_subunit_features_ftr02958: FW510-R12_contig_1_1021

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: FW510-R12_contig_1_3094

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04978: UDP-glucose 4-epimerase (EC 5.1.3.2)

+

complex_subunit_optional_ftr04978: 0

+

complex_subunit_triggering_ftr04978: 1

+

complex_subunit_features_ftr04978: FW510-R12_contig_1_2285;FW510-R12_contig_1_2289

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07467: 2-hydroxy-6-oxo-6-phenylhexa-2,4-dienoate hydrolase (EC 3.7.1.-)

+

complex_subunit_optional_ftr07467: 0

+

complex_subunit_triggering_ftr07467: 1

+

complex_subunit_features_ftr07467: FW510-R12_contig_1_2601

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03665: Methenyltetrahydrofolate cyclohydrolase (EC 3.5.4.9)

+

complex_subunit_optional_ftr03665: 0

+

complex_subunit_triggering_ftr03665: 1

+

complex_subunit_features_ftr03665: FW510-R12_contig_1_2200

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03137: Acetoacetyl-CoA reductase (EC 1.1.1.36)

+

complex_subunit_optional_ftr03137: 0

+

complex_subunit_triggering_ftr03137: 1

+

complex_subunit_features_ftr03137: FW510-R12_contig_1_2488;FW510-R12_contig_1_2705

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr12739: Aspartate racemase (EC 5.1.1.13)

+

complex_subunit_optional_ftr12739: 0

+

complex_subunit_triggering_ftr12739: 1

+

complex_subunit_features_ftr12739: FW510-R12_contig_1_2292

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02812: Histidinol-phosphate aminotransferase (EC 2.6.1.9)

+

complex_subunit_optional_ftr02812: 0

+

complex_subunit_triggering_ftr02812: 1

+

complex_subunit_features_ftr02812: FW510-R12_contig_1_1671

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01883: Aromatic-amino-acid aminotransferase (EC 2.6.1.57)

+

complex_subunit_optional_ftr01883: 0

+

complex_subunit_triggering_ftr01883: 1

+

complex_subunit_features_ftr01883: FW510-R12_contig_1_698

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00364: N-acetylglutamate kinase (EC 2.7.2.8)

+

complex_subunit_optional_tftr00364: 0

+

complex_subunit_triggering_tftr00364: 1

+

complex_subunit_features_tftr00364: FW510-R12_contig_1_1496

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11097: 2-dehydro-3-deoxygalactonokinase (EC 2.7.1.58)

+

complex_subunit_optional_ftr11097: 0

+

complex_subunit_triggering_ftr11097: 1

+

complex_subunit_features_ftr11097: FW510-R12_contig_1_980

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09157: Succinate dehydrogenase hydrophobic membrane anchor protein

+

complex_subunit_optional_ftr09157: 0

+

complex_subunit_triggering_ftr09157: 1

+

complex_subunit_features_ftr09157: FW510-R12_contig_1_2475;FW510-R12_contig_1_3392

+

complex_subunit_note_ftr09156: Succinate dehydrogenase cytochrome b-556 subunit

+

complex_subunit_optional_ftr09156: 0

+

complex_subunit_triggering_ftr09156: 1

+

complex_subunit_features_ftr09156: FW510-R12_contig_1_2476;FW510-R12_contig_1_3393

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: FW510-R12_contig_1_3094

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01042: UDP-N-acetylmuramoyl-dipeptide--2,6-diaminopimelate ligase (EC 6.3.2.13)

+

complex_subunit_optional_tftr01042: 0

+

complex_subunit_triggering_tftr01042: 1

+

complex_subunit_features_tftr01042: FW510-R12_contig_1_3203

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01386: Phosphate acetyltransferase (EC 2.3.1.8)

+

complex_subunit_optional_ftr01386: 0

+

complex_subunit_triggering_ftr01386: 1

+

complex_subunit_features_ftr01386: FW510-R12_contig_1_2280

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05351: Polyphosphate kinase (EC 2.7.4.1)

+

complex_subunit_optional_ftr05351: 0

+

complex_subunit_triggering_ftr05351: 1

+

complex_subunit_features_ftr05351: FW510-R12_contig_1_2505;FW510-R12_contig_1_2669

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04950: dTDP-4-dehydrorhamnose reductase (EC 1.1.1.133)

+

complex_subunit_optional_ftr04950: 0

+

complex_subunit_triggering_ftr04950: 1

+

complex_subunit_features_ftr04950: FW510-R12_contig_1_872

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr30482: nicotinamide-nucleotide amidase (EC 3.5.1.42)

+

complex_subunit_optional_ftr30482: 0

+

complex_subunit_triggering_ftr30482: 1

+

complex_subunit_features_ftr30482: FW510-R12_contig_1_2678

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06555: 2-hydroxymuconic semialdehyde hydrolase (EC 3.7.1.9)

+

complex_subunit_optional_ftr06555: 0

+

complex_subunit_triggering_ftr06555: 1

+

complex_subunit_features_ftr06555: FW510-R12_contig_1_2023

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02280: NADH-ubiquinone oxidoreductase chain M (EC 1.6.5.3)

+

complex_subunit_optional_ftr02280: 0

+

complex_subunit_triggering_ftr02280: 1

+

complex_subunit_features_ftr02280: FW510-R12_contig_1_1774

+

complex_subunit_note_ftr02285: NADH-ubiquinone oxidoreductase chain H (EC 1.6.5.3)

+

complex_subunit_optional_ftr02285: 0

+

complex_subunit_triggering_ftr02285: 1

+

complex_subunit_features_ftr02285: FW510-R12_contig_1_1769

+

complex_subunit_note_ftr02282: NADH-ubiquinone oxidoreductase chain K (EC 1.6.5.3)

+

complex_subunit_optional_ftr02282: 0

+

complex_subunit_triggering_ftr02282: 1

+

complex_subunit_features_ftr02282: FW510-R12_contig_1_1772

+

complex_subunit_note_ftr02291: NADH ubiquinone oxidoreductase chain A (EC 1.6.5.3)

+

complex_subunit_optional_ftr02291: 0

+

complex_subunit_triggering_ftr02291: 1

+

complex_subunit_features_ftr02291: FW510-R12_contig_1_1762

+

complex_subunit_note_ftr02290: NADH-ubiquinone oxidoreductase chain B (EC 1.6.5.3)

+

complex_subunit_optional_ftr02290: 0

+

complex_subunit_triggering_ftr02290: 1

+

complex_subunit_features_ftr02290: FW510-R12_contig_1_1763

+

complex_subunit_note_ftr02286: NADH-ubiquinone oxidoreductase chain G (EC 1.6.5.3)

+

complex_subunit_optional_ftr02286: 0

+

complex_subunit_triggering_ftr02286: 1

+

complex_subunit_features_ftr02286: FW510-R12_contig_1_1768

+

complex_subunit_note_ftr01615: NADH-ubiquinone oxidoreductase chain F (EC 1.6.5.3)

+

complex_subunit_optional_ftr01615: 0

+

complex_subunit_triggering_ftr01615: 1

+

complex_subunit_features_ftr01615: FW510-R12_contig_1_1767

+

complex_subunit_note_ftr02284: NADH-ubiquinone oxidoreductase chain I (EC 1.6.5.3)

+

complex_subunit_optional_ftr02284: 0

+

complex_subunit_triggering_ftr02284: 1

+

complex_subunit_features_ftr02284: FW510-R12_contig_1_1770

+

complex_subunit_note_ftr02289: NADH-ubiquinone oxidoreductase chain D (EC 1.6.5.3)

+

complex_subunit_optional_ftr02289: 0

+

complex_subunit_triggering_ftr02289: 1

+

complex_subunit_features_ftr02289: FW510-R12_contig_1_1765

+

complex_subunit_note_ftr02288: NADH-ubiquinone oxidoreductase chain C (EC 1.6.5.3)

+

complex_subunit_optional_ftr02288: 0

+

complex_subunit_triggering_ftr02288: 1

+

complex_subunit_features_ftr02288: FW510-R12_contig_1_1764

+

complex_subunit_note_ftr02287: NADH-ubiquinone oxidoreductase chain E (EC 1.6.5.3)

+

complex_subunit_optional_ftr02287: 0

+

complex_subunit_triggering_ftr02287: 1

+

complex_subunit_features_ftr02287: FW510-R12_contig_1_1766

+

complex_subunit_note_ftr02283: NADH-ubiquinone oxidoreductase chain J (EC 1.6.5.3)

+

complex_subunit_optional_ftr02283: 0

+

complex_subunit_triggering_ftr02283: 1

+

complex_subunit_features_ftr02283: FW510-R12_contig_1_1771

+

complex_subunit_note_ftr02279: NADH-ubiquinone oxidoreductase chain N (EC 1.6.5.3)

+

complex_subunit_optional_ftr02279: 0

+

complex_subunit_triggering_ftr02279: 1

+

complex_subunit_features_ftr02279: FW510-R12_contig_1_1775

+

complex_subunit_note_ftr02281: NADH-ubiquinone oxidoreductase chain L (EC 1.6.5.3)

+

complex_subunit_optional_ftr02281: 0

+

complex_subunit_triggering_ftr02281: 1

+

complex_subunit_features_ftr02281: FW510-R12_contig_1_1773

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01147: 4-hydroxy-3-methylbut-2-enyl diphosphate reductase (EC 1.17.7.4)

+

complex_subunit_optional_tftr01147: 0

+

complex_subunit_triggering_tftr01147: 1

+

complex_subunit_features_tftr01147: FW510-R12_contig_1_1533

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00649: Ribokinase (EC 2.7.1.15)

+

complex_subunit_optional_ftr00649: 0

+

complex_subunit_triggering_ftr00649: 1

+

complex_subunit_features_ftr00649: FW510-R12_contig_1_457

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00958: Catalase KatE (EC 1.11.1.6)

+

complex_subunit_optional_tftr00958: 0

+

complex_subunit_triggering_tftr00958: 1

+

complex_subunit_features_tftr00958: FW510-R12_contig_1_2687

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00859: Imidazole glycerol phosphate synthase cyclase subunit

+

complex_subunit_optional_tftr00859: 0

+

complex_subunit_triggering_tftr00859: 1

+

complex_subunit_features_tftr00859: FW510-R12_contig_1_1675

+

complex_subunit_note_tftr00795: Imidazole glycerol phosphate synthase amidotransferase subunit HisH

+

complex_subunit_optional_tftr00795: 0

+

complex_subunit_triggering_tftr00795: 1

+

complex_subunit_features_tftr00795: FW510-R12_contig_1_1673

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03828: 3-hydroxyanthranilate 3,4-dioxygenase (EC 1.13.11.6)

+

complex_subunit_optional_ftr03828: 0

+

complex_subunit_triggering_ftr03828: 1

+

complex_subunit_features_ftr03828: FW510-R12_contig_1_1685

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01842: Phosphogluconate dehydratase (EC 4.2.1.12)

+

complex_subunit_optional_ftr01842: 0

+

complex_subunit_triggering_ftr01842: 1

+

complex_subunit_features_ftr01842: FW510-R12_contig_1_136

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01706: 5-formyltetrahydrofolate cyclo-ligase (EC 6.3.3.2)

+

complex_subunit_optional_ftr01706: 0

+

complex_subunit_triggering_ftr01706: 1

+

complex_subunit_features_ftr01706: FW510-R12_contig_1_3323

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09516: Phosphoribosylaminoimidazole-succinocarboxamide synthase (EC 6.3.2.6)

+

complex_subunit_optional_ftr09516: 0

+

complex_subunit_triggering_ftr09516: 1

+

complex_subunit_features_ftr09516: FW510-R12_contig_1_854

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05095: N-acetylmuramoyl-L-alanine amidase (EC 3.5.1.28)

+

complex_subunit_optional_ftr05095: 0

+

complex_subunit_triggering_ftr05095: 1

+

complex_subunit_features_ftr05095: FW510-R12_contig_1_2646;FW510-R12_contig_1_3357

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00289: Glutaryl-CoA dehydrogenase (EC 1.3.8.6)

+

complex_subunit_optional_tftr00289: 0

+

complex_subunit_triggering_tftr00289: 1

+

complex_subunit_features_tftr00289: FW510-R12_contig_1_1575

+

complex_subunit_note_tftr00280: acyl-CoA dehydrogenase

+

complex_subunit_optional_tftr00280: 0

+

complex_subunit_triggering_tftr00280: 1

+

complex_subunit_features_tftr00280: FW510-R12_contig_1_2086;FW510-R12_contig_1_2087;FW510-R12_contig_1_2102;FW510-R12_contig_1_2107;FW510-R12_contig_1_2562;FW510-R12_contig_1_2684;FW510-R12_contig_1_923

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01517: Ribulose-phosphate 3-epimerase (EC 5.1.3.1)

+

complex_subunit_optional_ftr01517: 0

+

complex_subunit_triggering_ftr01517: 1

+

complex_subunit_features_ftr01517: FW510-R12_contig_1_3367

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03812: 3-isopropylmalate dehydratase small subunit (EC 4.2.1.33)

+

complex_subunit_optional_ftr03812: 0

+

complex_subunit_triggering_ftr03812: 1

+

complex_subunit_features_ftr03812: FW510-R12_contig_1_3221;FW510-R12_contig_1_624

+

complex_subunit_note_ftr03113: 3-isopropylmalate dehydratase large subunit (EC 4.2.1.33)

+

complex_subunit_optional_ftr03113: 0

+

complex_subunit_triggering_ftr03113: 1

+

complex_subunit_features_ftr03113: FW510-R12_contig_1_3222;FW510-R12_contig_1_625

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03813: 3-isopropylmalate dehydrogenase (EC 1.1.1.85)

+

complex_subunit_optional_ftr03813: 0

+

complex_subunit_triggering_ftr03813: 1

+

complex_subunit_features_ftr03813: FW510-R12_contig_1_623

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03195: Diphosphomevalonate decarboxylase (EC 4.1.1.33)

+

complex_subunit_optional_ftr03195: 0

+

complex_subunit_triggering_ftr03195: 1

+

complex_subunit_features_ftr03195: FW510-R12_contig_1_469

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02683: Uracil phosphoribosyltransferase (EC 2.4.2.9)

+

complex_subunit_optional_ftr02683: 0

+

complex_subunit_triggering_ftr02683: 1

+

complex_subunit_features_ftr02683: FW510-R12_contig_1_1350

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01118: ADP-heptose--lipooligosaccharide heptosyltransferase II

+

complex_subunit_optional_tftr01118: 0

+

complex_subunit_triggering_tftr01118: 1

+

complex_subunit_features_tftr01118: FW510-R12_contig_1_1735

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05042: Quinolinate phosphoribosyltransferase [decarboxylating] (EC 2.4.2.19)

+

complex_subunit_optional_ftr05042: 0

+

complex_subunit_triggering_ftr05042: 1

+

complex_subunit_features_ftr05042: FW510-R12_contig_1_2908

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03193: Mevalonate kinase (EC 2.7.1.36)

+

complex_subunit_optional_ftr03193: 0

+

complex_subunit_triggering_ftr03193: 1

+

complex_subunit_features_ftr03193: FW510-R12_contig_1_467

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02994: Malonyl CoA-acyl carrier protein transacylase (EC 2.3.1.39)

+

complex_subunit_optional_ftr02994: 0

+

complex_subunit_triggering_ftr02994: 1

+

complex_subunit_features_ftr02994: FW510-R12_contig_1_1751

+

complex_subunit_note_ftr01408: Acyl carrier protein

+

complex_subunit_optional_ftr01408: 1

+

complex_subunit_triggering_ftr01408: 0

+

complex_subunit_features_ftr01408: FW510-R12_contig_1_1377;FW510-R12_contig_1_1753;FW510-R12_contig_1_442

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02272: ABC transporter involved in cytochrome c biogenesis, ATPase component CcmA

+

complex_subunit_optional_ftr02272: 0

+

complex_subunit_triggering_ftr02272: 1

+

complex_subunit_features_ftr02272: FW510-R12_contig_1_2492

+

complex_subunit_note_ftr08808: Cytochrome c-type biogenesis protein CcmD, interacts with CcmCE

+

complex_subunit_optional_ftr08808: 0

+

complex_subunit_triggering_ftr08808: 1

+

complex_subunit_features_ftr08808: FW510-R12_contig_1_2495

+

complex_subunit_note_ftr02271: ABC transporter involved in cytochrome c biogenesis, CcmB subunit

+

complex_subunit_optional_ftr02271: 0

+

complex_subunit_triggering_ftr02271: 1

+

complex_subunit_features_ftr02271: FW510-R12_contig_1_2493

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02270: Cytochrome c-type biogenesis protein CcmC, putative heme lyase for CcmE

+

complex_subunit_optional_ftr02270: 0

+

complex_subunit_triggering_ftr02270: 1

+

complex_subunit_features_ftr02270: FW510-R12_contig_1_2494

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02394: D-serine/D-alanine/glycine transporter

+

complex_subunit_optional_ftr02394: 0

+

complex_subunit_triggering_ftr02394: 1

+

complex_subunit_features_ftr02394: FW510-R12_contig_1_1405;FW510-R12_contig_1_2577

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr12802: Free methionine-(R)-sulfoxide reductase, contains GAF domain

+

complex_subunit_optional_ftr12802: 0

+

complex_subunit_triggering_ftr12802: 1

+

complex_subunit_features_ftr12802: FW510-R12_contig_1_239

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00957: Peptide-methionine (S)-S-oxide reductase MsrA (EC 1.8.4.11)

+

complex_subunit_optional_tftr00957: 0

+

complex_subunit_triggering_tftr00957: 1

+

complex_subunit_features_tftr00957: FW510-R12_contig_1_1689;FW510-R12_contig_1_1946

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08305: Homoserine O-acetyltransferase (EC 2.3.1.31)

+

complex_subunit_optional_ftr08305: 0

+

complex_subunit_triggering_ftr08305: 1

+

complex_subunit_features_ftr08305: FW510-R12_contig_1_2501;FW510-R12_contig_1_942

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06015: CTP synthase (EC 6.3.4.2)

+

complex_subunit_optional_ftr06015: 0

+

complex_subunit_triggering_ftr06015: 1

+

complex_subunit_features_ftr06015: FW510-R12_contig_1_2413

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05916: 3'(2'),5'-bisphosphate nucleotidase (EC 3.1.3.7)

+

complex_subunit_optional_ftr05916: 0

+

complex_subunit_triggering_ftr05916: 1

+

complex_subunit_features_ftr05916: FW510-R12_contig_1_1157

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr30361: UDP-N-acetylmuramate---L-alanine ligase (EC 6.3.2.8)

+

complex_subunit_optional_ftr30361: 0

+

complex_subunit_triggering_ftr30361: 1

+

complex_subunit_features_ftr30361: FW510-R12_contig_1_3198

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02615: Arginase (EC 3.5.3.1)

+

complex_subunit_optional_ftr02615: 0

+

complex_subunit_triggering_ftr02615: 1

+

complex_subunit_features_ftr02615: FW510-R12_contig_1_3414

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr33604: butyryl-CoA dehydrogenase (EC 1.3.8.1)

+

complex_subunit_optional_ftr33604: 0

+

complex_subunit_triggering_ftr33604: 1

+

complex_subunit_features_ftr33604: FW510-R12_contig_1_1565

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09518: IMP cyclohydrolase (EC 3.5.4.10)

+

complex_subunit_optional_ftr09518: 0

+

complex_subunit_triggering_ftr09518: 1

+

complex_subunit_features_ftr09518: FW510-R12_contig_1_319

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00322: Phosphoglycerate mutase (EC 5.4.2.11)

+

complex_subunit_optional_tftr00322: 0

+

complex_subunit_triggering_tftr00322: 1

+

complex_subunit_features_tftr00322: FW510-R12_contig_1_2167;FW510-R12_contig_1_508

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06505: Pyrroline-5-carboxylate reductase (EC 1.5.1.2)

+

complex_subunit_optional_ftr06505: 0

+

complex_subunit_triggering_ftr06505: 1

+

complex_subunit_features_ftr06505: FW510-R12_contig_1_1134

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00920: Alkyl hydroperoxide reductase protein C (EC 1.11.1.15)

+

complex_subunit_optional_tftr00920: 0

+

complex_subunit_triggering_tftr00920: 1

+

complex_subunit_features_tftr00920: FW510-R12_contig_1_1863

+

complex_subunit_note_tftr00987: Alkyl hydroperoxide reductase protein F

+

complex_subunit_optional_tftr00987: 0

+

complex_subunit_triggering_tftr00987: 1

+

complex_subunit_features_tftr00987: FW510-R12_contig_1_1862

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05050: Nicotinamidase (EC 3.5.1.19)

+

complex_subunit_optional_ftr05050: 0

+

complex_subunit_triggering_ftr05050: 1

+

complex_subunit_features_ftr05050: FW510-R12_contig_1_3439

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00099: N5-carboxyaminoimidazole ribonucleotide mutase (EC 5.4.99.18)

+

complex_subunit_optional_tftr00099: 0

+

complex_subunit_triggering_tftr00099: 1

+

complex_subunit_features_tftr00099: FW510-R12_contig_1_2905

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00686: Aminopeptidase N

+

complex_subunit_optional_tftr00686: 0

+

complex_subunit_triggering_tftr00686: 1

+

complex_subunit_features_tftr00686: FW510-R12_contig_1_703

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04397: Alkaline phosphatase (EC 3.1.3.1)

+

complex_subunit_optional_ftr04397: 0

+

complex_subunit_triggering_ftr04397: 1

+

complex_subunit_features_ftr04397: FW510-R12_contig_1_650

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06755: Acylphosphate phosphohydrolase (EC 3.6.1.7)

+

complex_subunit_optional_ftr06755: 0

+

complex_subunit_triggering_ftr06755: 1

+

complex_subunit_features_ftr06755: FW510-R12_contig_1_1231

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00802: Phosphoribosylglycinamide formyltransferase (EC 2.1.2.2)

+

complex_subunit_optional_ftr00802: 0

+

complex_subunit_triggering_ftr00802: 1

+

complex_subunit_features_ftr00802: FW510-R12_contig_1_3078

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06875: N-acetylornithine carbamoyltransferase (EC 2.1.3.9)

+

complex_subunit_optional_ftr06875: 0

+

complex_subunit_triggering_ftr06875: 1

+

complex_subunit_features_ftr06875: FW510-R12_contig_1_1491

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01837: Glucosamine-6-phosphate deaminase [isomerizing], alternative (EC 3.5.99.6)

+

complex_subunit_optional_ftr01837: 0

+

complex_subunit_triggering_ftr01837: 1

+

complex_subunit_features_ftr01837: FW510-R12_contig_1_140

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05209: UDP-3-O-[3-hydroxymyristoyl] glucosamine N-acyltransferase (EC 2.3.1.191)

+

complex_subunit_optional_ftr05209: 0

+

complex_subunit_triggering_ftr05209: 1

+

complex_subunit_features_ftr05209: FW510-R12_contig_1_1321

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02627: Diaminopimelate decarboxylase (EC 4.1.1.20)

+

complex_subunit_optional_ftr02627: 0

+

complex_subunit_triggering_ftr02627: 1

+

complex_subunit_features_ftr02627: FW510-R12_contig_1_3137;FW510-R12_contig_1_3352

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05053: ADP-ribose pyrophosphatase (EC 3.6.1.13)

+

complex_subunit_optional_ftr05053: 0

+

complex_subunit_triggering_ftr05053: 1

+

complex_subunit_features_ftr05053: FW510-R12_contig_1_2923

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00629: Molybdenum ABC transporter permease protein ModB

+

complex_subunit_optional_tftr00629: 0

+

complex_subunit_triggering_tftr00629: 1

+

complex_subunit_features_tftr00629: FW510-R12_contig_1_2863

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11974: 2-acylglycerophosphoethanolamine acyltransferase (EC 2.3.1.40)

+

complex_subunit_optional_ftr11974: 0

+

complex_subunit_triggering_ftr11974: 1

+

complex_subunit_features_ftr11974: FW510-R12_contig_1_382

+

complex_subunit_note_ftr01408: Acyl carrier protein

+

complex_subunit_optional_ftr01408: 1

+

complex_subunit_triggering_ftr01408: 0

+

complex_subunit_features_ftr01408: FW510-R12_contig_1_1377;FW510-R12_contig_1_1753;FW510-R12_contig_1_442

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01677: 6-phosphogluconate dehydrogenase, decarboxylating (EC 1.1.1.44)

+

complex_subunit_optional_ftr01677: 0

+

complex_subunit_triggering_ftr01677: 1

+

complex_subunit_features_ftr01677: FW510-R12_contig_1_119

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: FW510-R12_contig_1_3094

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09093: Aldehyde dehydrogenase B (EC 1.2.1.22)

+

complex_subunit_optional_ftr09093: 0

+

complex_subunit_triggering_ftr09093: 1

+

complex_subunit_features_ftr09093: FW510-R12_contig_1_2510

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03034: Hydroxymethylglutaryl-CoA lyase (EC 4.1.3.4)

+

complex_subunit_optional_ftr03034: 0

+

complex_subunit_triggering_ftr03034: 1

+

complex_subunit_features_ftr03034: FW510-R12_contig_1_1519;FW510-R12_contig_1_3230

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10521: Adenosylmethionine-8-amino-7-oxononanoate aminotransferase (EC 2.6.1.62)

+

complex_subunit_optional_ftr10521: 0

+

complex_subunit_triggering_ftr10521: 1

+

complex_subunit_features_ftr10521: FW510-R12_contig_1_1153

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09509: Phosphoribosylamine--glycine ligase (EC 6.3.4.13)

+

complex_subunit_optional_ftr09509: 0

+

complex_subunit_triggering_ftr09509: 1

+

complex_subunit_features_ftr09509: FW510-R12_contig_1_592

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05048: Glutamine amidotransferase chain of NAD synthetase

+

complex_subunit_optional_ftr05048: 0

+

complex_subunit_triggering_ftr05048: 1

+

complex_subunit_features_ftr05048: FW510-R12_contig_1_1009

+

complex_subunit_note_ftr00142: Carbamoyl-phosphate synthase small chain (EC 6.3.5.5)

+

complex_subunit_optional_ftr00142: 0

+

complex_subunit_triggering_ftr00142: 1

+

complex_subunit_features_ftr00142: FW510-R12_contig_1_2239

+

complex_subunit_note_ftr00143: Carbamoyl-phosphate synthase large chain (EC 6.3.5.5)

+

complex_subunit_optional_ftr00143: 0

+

complex_subunit_triggering_ftr00143: 1

+

complex_subunit_features_ftr00143: FW510-R12_contig_1_2238

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04033: Phosphoribosylanthranilate isomerase (EC 5.3.1.24)

+

complex_subunit_optional_ftr04033: 0

+

complex_subunit_triggering_ftr04033: 1

+

complex_subunit_features_ftr04033: FW510-R12_contig_1_1646

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07646: Phosphoserine phosphatase (EC 3.1.3.3)

+

complex_subunit_optional_ftr07646: 0

+

complex_subunit_triggering_ftr07646: 1

+

complex_subunit_features_ftr07646: FW510-R12_contig_1_130

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00207: Fumarylacetoacetase (EC 3.7.1.2)

+

complex_subunit_optional_ftr00207: 0

+

complex_subunit_triggering_ftr00207: 1

+

complex_subunit_features_ftr00207: FW510-R12_contig_1_3387

+

complex_subunit_note_ftr00210: Fumarylacetoacetate hydrolase family protein

+

complex_subunit_optional_ftr00210: 0

+

complex_subunit_triggering_ftr00210: 1

+

complex_subunit_features_ftr00210: FW510-R12_contig_1_3264

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00502: N-acetyl-L-citrulline deacetylase

+

complex_subunit_optional_tftr00502: 0

+

complex_subunit_triggering_tftr00502: 1

+

complex_subunit_features_tftr00502: FW510-R12_contig_1_1495

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00812: N-acetylornithine deacetylase (EC 3.5.1.16)

+

complex_subunit_optional_tftr00812: 0

+

complex_subunit_triggering_tftr00812: 1

+

complex_subunit_features_tftr00812: FW510-R12_contig_1_930;FW510-R12_contig_1_933

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01059: Uroporphyrinogen-III methyltransferase (EC 2.1.1.107)

+

complex_subunit_optional_ftr01059: 0

+

complex_subunit_triggering_ftr01059: 1

+

complex_subunit_features_ftr01059: FW510-R12_contig_1_1814

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08208: Fructose-6-phosphate phosphoketolase (EC 4.1.2.22)

+

complex_subunit_optional_ftr08208: 0

+

complex_subunit_triggering_ftr08208: 1

+

complex_subunit_features_ftr08208: FW510-R12_contig_1_2184;FW510-R12_contig_1_2282

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08994: Riboflavin synthase eubacterial/eukaryotic (EC 2.5.1.9)

+

complex_subunit_optional_ftr08994: 0

+

complex_subunit_triggering_ftr08994: 1

+

complex_subunit_features_ftr08994: FW510-R12_contig_1_1080

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr30742: N-carbamoylputrescine amidase (EC 3.5.1.53)

+

complex_subunit_optional_ftr30742: 0

+

complex_subunit_triggering_ftr30742: 1

+

complex_subunit_features_ftr30742: FW510-R12_contig_1_1930

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01346: Ribonucleotide reductase of class Ia (aerobic), alpha subunit (EC 1.17.4.1)

+

complex_subunit_optional_ftr01346: 0

+

complex_subunit_triggering_ftr01346: 1

+

complex_subunit_features_ftr01346: FW510-R12_contig_1_1667

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01347: Ribonucleotide reductase of class Ia (aerobic), beta subunit (EC 1.17.4.1)

+

complex_subunit_optional_ftr01347: 0

+

complex_subunit_triggering_ftr01347: 1

+

complex_subunit_features_ftr01347: FW510-R12_contig_1_1666;FW510-R12_contig_1_674

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06154: Alanine racemase (EC 5.1.1.1)

+

complex_subunit_optional_ftr06154: 0

+

complex_subunit_triggering_ftr06154: 1

+

complex_subunit_features_ftr06154: FW510-R12_contig_1_1886

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02622: Glutamate synthase [NADPH] large chain (EC 1.4.1.13)

+

complex_subunit_optional_ftr02622: 0

+

complex_subunit_triggering_ftr02622: 1

+

complex_subunit_features_ftr02622: FW510-R12_contig_1_14;FW510-R12_contig_1_3004;FW510-R12_contig_1_753

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00054: Glutamate synthase [NADPH] small chain (EC 1.4.1.13)

+

complex_subunit_optional_ftr00054: 0

+

complex_subunit_triggering_ftr00054: 1

+

complex_subunit_features_ftr00054: FW510-R12_contig_1_13

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05914: Sulfate adenylyltransferase subunit 2 (EC 2.7.7.4)

+

complex_subunit_optional_ftr05914: 0

+

complex_subunit_triggering_ftr05914: 1

+

complex_subunit_features_ftr05914: FW510-R12_contig_1_900

+

complex_subunit_note_ftr05913: Sulfate adenylyltransferase subunit 1 (EC 2.7.7.4)

+

complex_subunit_optional_ftr05913: 0

+

complex_subunit_triggering_ftr05913: 1

+

complex_subunit_features_ftr05913: FW510-R12_contig_1_901

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05043: Nicotinate-nucleotide adenylyltransferase (EC 2.7.7.18)

+

complex_subunit_optional_ftr05043: 0

+

complex_subunit_triggering_ftr05043: 1

+

complex_subunit_features_ftr05043: FW510-R12_contig_1_1422

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00800: Isovaleryl-CoA dehydrogenase (EC 1.3.8.4)

+

complex_subunit_optional_tftr00800: 0

+

complex_subunit_triggering_tftr00800: 1

+

complex_subunit_features_tftr00800: FW510-R12_contig_1_2624

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00117: ABC transporter, permease protein 2 (cluster 1, maltose/g3p/polyamine/iron)

+

complex_subunit_optional_tftr00117: 0

+

complex_subunit_triggering_tftr00117: 1

+

complex_subunit_features_tftr00117: FW510-R12_contig_1_481

+

complex_subunit_note_tftr00048: ABC transporter, permease protein 1 (cluster 1, maltose/g3p/polyamine/iron)

+

complex_subunit_optional_tftr00048: 0

+

complex_subunit_triggering_tftr00048: 1

+

complex_subunit_features_tftr00048: FW510-R12_contig_1_482

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09062: Diaminohydroxyphosphoribosylaminopyrimidine deaminase (EC 3.5.4.26)

+

complex_subunit_optional_ftr09062: 0

+

complex_subunit_triggering_ftr09062: 1

+

complex_subunit_features_ftr09062: FW510-R12_contig_1_1079

+ + + + + + +

complex_source: KEGG

+

complex_subunit_note_ftr34048: 2-methoxy-6-polyprenyl-1,4-benzoquinol methylase (EC 2.1.1.201)

+

complex_subunit_optional_ftr34048: 0

+

complex_subunit_triggering_ftr34048: 1

+

complex_subunit_features_ftr34048: FW510-R12_contig_1_713

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07563: Short chain fatty acids transporter

+

complex_subunit_optional_ftr07563: 0

+

complex_subunit_triggering_ftr07563: 1

+

complex_subunit_features_ftr07563: FW510-R12_contig_1_3262

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00420: Acetyl-CoA synthetase (EC 6.2.1.1)

+

complex_subunit_optional_tftr00420: 0

+

complex_subunit_triggering_tftr00420: 1

+

complex_subunit_features_tftr00420: FW510-R12_contig_1_16

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01612: Aspartate carbamoyltransferase (EC 2.1.3.2)

+

complex_subunit_optional_ftr01612: 0

+

complex_subunit_triggering_ftr01612: 1

+

complex_subunit_features_ftr01612: FW510-R12_contig_1_1139

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02632: Bis(5'-nucleosyl)-tetraphosphatase (asymmetrical) (EC 3.6.1.17)

+

complex_subunit_optional_ftr02632: 0

+

complex_subunit_triggering_ftr02632: 1

+

complex_subunit_features_ftr02632: FW510-R12_contig_1_1741

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05024: Alanine dehydrogenase (EC 1.4.1.1)

+

complex_subunit_optional_ftr05024: 0

+

complex_subunit_triggering_ftr05024: 1

+

complex_subunit_features_ftr05024: FW510-R12_contig_1_2312

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04866: 6-phosphogluconolactonase (EC 3.1.1.31), eukaryotic type

+

complex_subunit_optional_ftr04866: 0

+

complex_subunit_triggering_ftr04866: 1

+

complex_subunit_features_ftr04866: FW510-R12_contig_1_137

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06443: Glutathione peroxidase (EC 1.11.1.9)

+

complex_subunit_optional_ftr06443: 0

+

complex_subunit_triggering_ftr06443: 1

+

complex_subunit_features_ftr06443: FW510-R12_contig_1_2720

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01435: UDP-3-O-[3-hydroxymyristoyl] N-acetylglucosamine deacetylase (EC 3.5.1.108)

+

complex_subunit_optional_ftr01435: 0

+

complex_subunit_triggering_ftr01435: 1

+

complex_subunit_features_ftr01435: FW510-R12_contig_1_3193

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03812: 3-isopropylmalate dehydratase small subunit (EC 4.2.1.33)

+

complex_subunit_optional_ftr03812: 0

+

complex_subunit_triggering_ftr03812: 1

+

complex_subunit_features_ftr03812: FW510-R12_contig_1_3221;FW510-R12_contig_1_624

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03113: 3-isopropylmalate dehydratase large subunit (EC 4.2.1.33)

+

complex_subunit_optional_ftr03113: 0

+

complex_subunit_triggering_ftr03113: 1

+

complex_subunit_features_ftr03113: FW510-R12_contig_1_3222;FW510-R12_contig_1_625

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01886: Acetoacetyl-CoA synthetase (EC 6.2.1.16)

+

complex_subunit_optional_ftr01886: 0

+

complex_subunit_triggering_ftr01886: 1

+

complex_subunit_features_ftr01886: FW510-R12_contig_1_19

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01686: Transaldolase (EC 2.2.1.2)

+

complex_subunit_optional_ftr01686: 0

+

complex_subunit_triggering_ftr01686: 1

+

complex_subunit_features_ftr01686: FW510-R12_contig_1_3555

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01070: Pantothenate kinase type III, CoaX-like (EC 2.7.1.33)

+

complex_subunit_optional_ftr01070: 0

+

complex_subunit_triggering_ftr01070: 1

+

complex_subunit_features_ftr01070: FW510-R12_contig_1_3418

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03660: Deoxycytidine triphosphate deaminase (EC 3.5.4.13)

+

complex_subunit_optional_ftr03660: 0

+

complex_subunit_triggering_ftr03660: 1

+

complex_subunit_features_ftr03660: FW510-R12_contig_1_1626

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00142: Carbamoyl-phosphate synthase small chain (EC 6.3.5.5)

+

complex_subunit_optional_ftr00142: 0

+

complex_subunit_triggering_ftr00142: 1

+

complex_subunit_features_ftr00142: FW510-R12_contig_1_2239

+

complex_subunit_note_ftr00143: Carbamoyl-phosphate synthase large chain (EC 6.3.5.5)

+

complex_subunit_optional_ftr00143: 0

+

complex_subunit_triggering_ftr00143: 1

+

complex_subunit_features_ftr00143: FW510-R12_contig_1_2238

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01408: Acyl carrier protein

+

complex_subunit_optional_ftr01408: 0

+

complex_subunit_triggering_ftr01408: 1

+

complex_subunit_features_ftr01408: FW510-R12_contig_1_1377;FW510-R12_contig_1_1753;FW510-R12_contig_1_442

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06496: GTP pyrophosphokinase (EC 2.7.6.5), (p)ppGpp synthetase II

+

complex_subunit_optional_ftr06496: 0

+

complex_subunit_triggering_ftr06496: 1

+

complex_subunit_features_ftr06496: FW510-R12_contig_1_3294

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06501: GTP pyrophosphokinase (EC 2.7.6.5), (p)ppGpp synthetase I

+

complex_subunit_optional_ftr06501: 0

+

complex_subunit_triggering_ftr06501: 1

+

complex_subunit_features_ftr06501: FW510-R12_contig_1_3121;FW510-R12_contig_2_132

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09485: GTP pyrophosphokinase (EC 2.7.6.5)

+

complex_subunit_optional_ftr09485: 0

+

complex_subunit_triggering_ftr09485: 1

+

complex_subunit_features_ftr09485: FW510-R12_contig_1_1887

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01629: Fumarate hydratase class I, aerobic (EC 4.2.1.2)

+

complex_subunit_optional_ftr01629: 0

+

complex_subunit_triggering_ftr01629: 1

+

complex_subunit_features_ftr01629: FW510-R12_contig_1_3138

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06775: Fumarate hydratase class II (EC 4.2.1.2)

+

complex_subunit_optional_ftr06775: 0

+

complex_subunit_triggering_ftr06775: 1

+

complex_subunit_features_ftr06775: FW510-R12_contig_1_1820

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05214: 3-deoxy-manno-octulosonate cytidylyltransferase (EC 2.7.7.38)

+

complex_subunit_optional_ftr05214: 0

+

complex_subunit_triggering_ftr05214: 1

+

complex_subunit_features_ftr05214: FW510-R12_contig_1_1925

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01379: Pyruvate dehydrogenase E1 component (EC 1.2.4.1)

+

complex_subunit_optional_ftr01379: 0

+

complex_subunit_triggering_ftr01379: 1

+

complex_subunit_features_ftr01379: FW510-R12_contig_1_816

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00876: Acetolactate synthase small subunit (EC 2.2.1.6)

+

complex_subunit_optional_ftr00876: 0

+

complex_subunit_triggering_ftr00876: 1

+

complex_subunit_features_ftr00876: FW510-R12_contig_1_619

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00875: Acetolactate synthase large subunit (EC 2.2.1.6)

+

complex_subunit_optional_ftr00875: 0

+

complex_subunit_triggering_ftr00875: 1

+

complex_subunit_features_ftr00875: FW510-R12_contig_1_620

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03639: Phosphopentomutase (EC 5.4.2.7)

+

complex_subunit_optional_ftr03639: 0

+

complex_subunit_triggering_ftr03639: 1

+

complex_subunit_features_ftr03639: FW510-R12_contig_1_2883

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07902: Methylmalonyl-CoA mutase (EC 5.4.99.2)

+

complex_subunit_optional_ftr07902: 0

+

complex_subunit_triggering_ftr07902: 1

+

complex_subunit_features_ftr07902: FW510-R12_contig_1_2617

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08873: Threonine synthase (EC 4.2.3.1)

+

complex_subunit_optional_ftr08873: 0

+

complex_subunit_triggering_ftr08873: 1

+

complex_subunit_features_ftr08873: FW510-R12_contig_1_634

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01437: Copper-translocating P-type ATPase (EC 3.6.3.4)

+

complex_subunit_optional_ftr01437: 0

+

complex_subunit_triggering_ftr01437: 1

+

complex_subunit_features_ftr01437: FW510-R12_contig_1_1714;FW510-R12_contig_1_2179;FW510-R12_contig_1_2323

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04032: Anthranilate phosphoribosyltransferase (EC 2.4.2.18)

+

complex_subunit_optional_ftr04032: 0

+

complex_subunit_triggering_ftr04032: 1

+

complex_subunit_features_ftr04032: FW510-R12_contig_1_3342

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04182: Adenylate cyclase

+

complex_subunit_optional_ftr04182: 0

+

complex_subunit_triggering_ftr04182: 1

+

complex_subunit_features_ftr04182: FW510-R12_contig_1_2349

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09016: Adenylate cyclase (EC 4.6.1.1)

+

complex_subunit_optional_ftr09016: 0

+

complex_subunit_triggering_ftr09016: 1

+

complex_subunit_features_ftr09016: FW510-R12_contig_1_1301;FW510-R12_contig_1_1502

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr33095: UDP-glucuronate decarboxylase (EC 4.1.1.35)

+

complex_subunit_optional_ftr33095: 0

+

complex_subunit_triggering_ftr33095: 1

+

complex_subunit_features_ftr33095: FW510-R12_contig_1_578

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00068: Nicotinate phosphoribosyltransferase (EC 6.3.4.21)

+

complex_subunit_optional_tftr00068: 0

+

complex_subunit_triggering_tftr00068: 1

+

complex_subunit_features_tftr00068: FW510-R12_contig_1_2724

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09540: Deoxyribose-phosphate aldolase (EC 4.1.2.4)

+

complex_subunit_optional_ftr09540: 0

+

complex_subunit_triggering_ftr09540: 1

+

complex_subunit_features_ftr09540: FW510-R12_contig_1_2885

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01843: 2-dehydro-3-deoxyphosphogluconate aldolase (EC 4.1.2.14)

+

complex_subunit_optional_ftr01843: 0

+

complex_subunit_triggering_ftr01843: 1

+

complex_subunit_features_ftr01843: FW510-R12_contig_1_135

+

complex_subunit_note_ftr07954: 4-Hydroxy-2-oxoglutarate aldolase (EC 4.1.3.16)

+

complex_subunit_optional_ftr07954: 0

+

complex_subunit_triggering_ftr07954: 1

+

complex_subunit_features_ftr07954: FW510-R12_contig_1_135

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00691: UDP-N-acetylenolpyruvoylglucosamine reductase (EC 1.3.1.98)

+

complex_subunit_optional_tftr00691: 0

+

complex_subunit_triggering_tftr00691: 1

+

complex_subunit_features_tftr00691: FW510-R12_contig_1_2507

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07659: Coproporphyrinogen III oxidase, aerobic (EC 1.3.3.3)

+

complex_subunit_optional_ftr07659: 0

+

complex_subunit_triggering_ftr07659: 1

+

complex_subunit_features_ftr07659: FW510-R12_contig_1_455

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03031: Methylcrotonyl-CoA carboxylase biotin-containing subunit (EC 6.4.1.4)

+

complex_subunit_optional_ftr03031: 0

+

complex_subunit_triggering_ftr03031: 1

+

complex_subunit_features_ftr03031: FW510-R12_contig_1_1520

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03032: Methylcrotonyl-CoA carboxylase carboxyl transferase subunit (EC 6.4.1.4)

+

complex_subunit_optional_ftr03032: 0

+

complex_subunit_triggering_ftr03032: 1

+

complex_subunit_features_ftr03032: FW510-R12_contig_1_2628

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05261: Mannose-6-phosphate isomerase (EC 5.3.1.8)

+

complex_subunit_optional_ftr05261: 0

+

complex_subunit_triggering_ftr05261: 1

+

complex_subunit_features_ftr05261: FW510-R12_contig_1_871

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08245: DNA gyrase subunit A (EC 5.99.1.3)

+

complex_subunit_optional_ftr08245: 0

+

complex_subunit_triggering_ftr08245: 1

+

complex_subunit_features_ftr08245: FW510-R12_contig_1_1797

+

complex_subunit_note_ftr05021: DNA polymerase III alpha subunit (EC 2.7.7.7)

+

complex_subunit_optional_ftr05021: 0

+

complex_subunit_triggering_ftr05021: 1

+

complex_subunit_features_ftr05021: FW510-R12_contig_1_1315

+

complex_subunit_note_tftr00931: DNA primase DnaG

+

complex_subunit_optional_tftr00931: 0

+

complex_subunit_triggering_tftr00931: 1

+

complex_subunit_features_tftr00931: FW510-R12_contig_1_271

+

complex_subunit_note_ftr00464: Chromosomal replication initiator protein DnaA

+

complex_subunit_optional_ftr00464: 0

+

complex_subunit_triggering_ftr00464: 1

+

complex_subunit_features_ftr00464: FW510-R12_contig_1_1

+

complex_subunit_note_ftr00466: DNA gyrase subunit B (EC 5.99.1.3)

+

complex_subunit_optional_ftr00466: 0

+

complex_subunit_triggering_ftr00466: 1

+

complex_subunit_features_ftr00466: FW510-R12_contig_1_4

+

complex_subunit_note_ftr04250: DNA polymerase III epsilon subunit (EC 2.7.7.7)

+

complex_subunit_optional_ftr04250: 0

+

complex_subunit_triggering_ftr04250: 1

+

complex_subunit_features_ftr04250: FW510-R12_contig_1_2376

+

complex_subunit_note_ftr00465: DNA polymerase III beta subunit (EC 2.7.7.7)

+

complex_subunit_optional_ftr00465: 0

+

complex_subunit_triggering_ftr00465: 1

+

complex_subunit_features_ftr00465: FW510-R12_contig_1_2;FW510-R12_contig_2_203

+

complex_subunit_note_ftr05554: Chromosome partition protein smc

+

complex_subunit_optional_ftr05554: 0

+

complex_subunit_triggering_ftr05554: 1

+

complex_subunit_features_ftr05554: FW510-R12_contig_1_1944

+

complex_subunit_note_ftr02991: Single-stranded DNA-binding protein

+

complex_subunit_optional_ftr02991: 0

+

complex_subunit_triggering_ftr02991: 1

+

complex_subunit_features_ftr02991: FW510-R12_contig_1_971;FW510-R12_contig_2_21

+

complex_subunit_note_ftr02988: Helicase PriA essential for oriC/DnaA-independent DNA replication

+

complex_subunit_optional_ftr02988: 0

+

complex_subunit_triggering_ftr02988: 1

+

complex_subunit_features_ftr02988: FW510-R12_contig_1_793

+

complex_subunit_note_ftr05120: DNA polymerase III chi subunit (EC 2.7.7.7)

+

complex_subunit_optional_ftr05120: 0

+

complex_subunit_triggering_ftr05120: 1

+

complex_subunit_features_ftr05120: FW510-R12_contig_1_3175

+

complex_subunit_note_ftr08496: DNA polymerase III delta prime subunit (EC 2.7.7.7)

+

complex_subunit_optional_ftr08496: 0

+

complex_subunit_triggering_ftr08496: 1

+

complex_subunit_features_ftr08496: FW510-R12_contig_1_1759

+

complex_subunit_note_ftr05551: Segregation and condensation protein A

+

complex_subunit_optional_ftr05551: 0

+

complex_subunit_triggering_ftr05551: 1

+

complex_subunit_features_ftr05551: FW510-R12_contig_1_1837

+

complex_subunit_note_ftr03481: DNA topoisomerase I (EC 5.99.1.2)

+

complex_subunit_optional_ftr03481: 0

+

complex_subunit_triggering_ftr03481: 1

+

complex_subunit_features_ftr03481: FW510-R12_contig_1_589

+

complex_subunit_note_ftr05552: Segregation and condensation protein B

+

complex_subunit_optional_ftr05552: 0

+

complex_subunit_triggering_ftr05552: 1

+

complex_subunit_features_ftr05552: FW510-R12_contig_1_1836

+

complex_subunit_note_ftr03585: DNA polymerase III subunits gamma and tau (EC 2.7.7.7)

+

complex_subunit_optional_ftr03585: 0

+

complex_subunit_triggering_ftr03585: 1

+

complex_subunit_features_ftr03585: FW510-R12_contig_1_1738

+

complex_subunit_note_ftr08106: DNA polymerase III delta subunit (EC 2.7.7.7)

+

complex_subunit_optional_ftr08106: 0

+

complex_subunit_triggering_ftr08106: 1

+

complex_subunit_features_ftr08106: FW510-R12_contig_1_1421

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03200: 2-C-methyl-D-erythritol 4-phosphate cytidylyltransferase (EC 2.7.7.60)

+

complex_subunit_optional_ftr03200: 0

+

complex_subunit_triggering_ftr03200: 1

+

complex_subunit_features_ftr03200: FW510-R12_contig_1_2408

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02808: Phosphoribosyl-ATP pyrophosphatase (EC 3.6.1.31)

+

complex_subunit_optional_ftr02808: 0

+

complex_subunit_triggering_ftr02808: 1

+

complex_subunit_features_ftr02808: FW510-R12_contig_1_1676

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00525: D-alanyl-D-alanine dipeptidase (EC 3.4.13.22)

+

complex_subunit_optional_tftr00525: 0

+

complex_subunit_triggering_tftr00525: 1

+

complex_subunit_features_tftr00525: FW510-R12_contig_1_3355

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04141: 1,2-dihydroxy-3-keto-5-methylthiopentene dioxygenase (EC 1.13.11.54)

+

complex_subunit_optional_ftr04141: 0

+

complex_subunit_triggering_ftr04141: 1

+

complex_subunit_features_ftr04141: FW510-R12_contig_1_1679

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06638: Enolase (EC 4.2.1.11)

+

complex_subunit_optional_ftr06638: 0

+

complex_subunit_triggering_ftr06638: 1

+

complex_subunit_features_ftr06638: FW510-R12_contig_1_2159;FW510-R12_contig_1_2410

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00933: Urocanate hydratase (EC 4.2.1.49)

+

complex_subunit_optional_ftr00933: 0

+

complex_subunit_triggering_ftr00933: 1

+

complex_subunit_features_ftr00933: FW510-R12_contig_1_1600;FW510-R12_contig_1_2445

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01052: Ribose-phosphate pyrophosphokinase, possible alternative form 2

+

complex_subunit_optional_tftr01052: 0

+

complex_subunit_triggering_tftr01052: 1

+

complex_subunit_features_tftr01052: FW510-R12_contig_1_2182

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01633: Ribose-phosphate pyrophosphokinase (EC 2.7.6.1)

+

complex_subunit_optional_ftr01633: 0

+

complex_subunit_triggering_ftr01633: 1

+

complex_subunit_features_ftr01633: FW510-R12_contig_1_1243

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02302: Sulfate transport system permease protein CysT

+

complex_subunit_optional_ftr02302: 0

+

complex_subunit_triggering_ftr02302: 1

+

complex_subunit_features_ftr02302: FW510-R12_contig_1_2390

+

complex_subunit_note_ftr02301: Sulfate transport system permease protein CysW

+

complex_subunit_optional_ftr02301: 0

+

complex_subunit_triggering_ftr02301: 1

+

complex_subunit_features_ftr02301: FW510-R12_contig_1_2389

+

complex_subunit_note_ftr02300: Sulfate and thiosulfate import ATP-binding protein CysA (EC 3.6.3.25)

+

complex_subunit_optional_ftr02300: 0

+

complex_subunit_triggering_ftr02300: 1

+

complex_subunit_features_ftr02300: FW510-R12_contig_1_2388

+

complex_subunit_note_ftr02303: Sulfate and thiosulfate binding protein CysP

+

complex_subunit_optional_ftr02303: 0

+

complex_subunit_triggering_ftr02303: 1

+

complex_subunit_features_ftr02303: FW510-R12_contig_1_2391

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00276: NADH pyrophosphatase (EC 3.6.1.22), decaps 5'-NAD modified RNA

+

complex_subunit_optional_tftr00276: 0

+

complex_subunit_triggering_tftr00276: 1

+

complex_subunit_features_tftr00276: FW510-R12_contig_1_385

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02510: Na+/H+ antiporter

+

complex_subunit_optional_ftr02510: 0

+

complex_subunit_triggering_ftr02510: 1

+

complex_subunit_features_ftr02510: FW510-R12_contig_1_2279;FW510-R12_contig_1_2548

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01780: Glycine dehydrogenase [decarboxylating] (glycine cleavage system P protein) (EC 1.4.4.2)

+

complex_subunit_optional_ftr01780: 0

+

complex_subunit_triggering_ftr01780: 1

+

complex_subunit_features_ftr01780: FW510-R12_contig_1_1895

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01768: Ferredoxin-dependent glutamate synthase (EC 1.4.7.1)

+

complex_subunit_optional_ftr01768: 0

+

complex_subunit_triggering_ftr01768: 1

+

complex_subunit_features_ftr01768: FW510-R12_contig_1_2755

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02577: L-Proline/Glycine betaine transporter ProP

+

complex_subunit_optional_ftr02577: 0

+

complex_subunit_triggering_ftr02577: 1

+

complex_subunit_features_ftr02577: FW510-R12_contig_1_2272

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02466: Manganese transport protein MntH

+

complex_subunit_optional_ftr02466: 0

+

complex_subunit_triggering_ftr02466: 1

+

complex_subunit_features_ftr02466: FW510-R12_contig_1_2283

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08500: UDP-N-acetylglucosamine 1-carboxyvinyltransferase (EC 2.5.1.7)

+

complex_subunit_optional_ftr08500: 0

+

complex_subunit_triggering_ftr08500: 1

+

complex_subunit_features_ftr08500: FW510-R12_contig_1_3080

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03957: Propionate--CoA ligase (EC 6.2.1.17)

+

complex_subunit_optional_ftr03957: 0

+

complex_subunit_triggering_ftr03957: 1

+

complex_subunit_features_ftr03957: FW510-R12_contig_1_1861

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03957: Propionate--CoA ligase (EC 6.2.1.17)

+

complex_subunit_optional_ftr03957: 0

+

complex_subunit_triggering_ftr03957: 1

+

complex_subunit_features_ftr03957: FW510-R12_contig_1_1861

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05234: Beta-glucosidase (EC 3.2.1.21)

+

complex_subunit_optional_ftr05234: 0

+

complex_subunit_triggering_ftr05234: 1

+

complex_subunit_features_ftr05234: FW510-R12_contig_1_173;FW510-R12_contig_1_1898;FW510-R12_contig_1_490

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01613: Phosphoribosylformylglycinamidine cyclo-ligase (EC 6.3.3.1)

+

complex_subunit_optional_ftr01613: 0

+

complex_subunit_triggering_ftr01613: 1

+

complex_subunit_features_ftr01613: FW510-R12_contig_1_3077

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr33103: 4-hydroxy-2-oxovalerate aldolase (EC 4.1.3.39)

+

complex_subunit_optional_ftr33103: 0

+

complex_subunit_triggering_ftr33103: 1

+

complex_subunit_features_ftr33103: FW510-R12_contig_1_2027

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09517: Phosphoribosylaminoimidazolecarboxamide formyltransferase (EC 2.1.2.3)

+

complex_subunit_optional_ftr09517: 0

+

complex_subunit_triggering_ftr09517: 1

+

complex_subunit_features_ftr09517: FW510-R12_contig_1_319

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr50357: 3-hydroxyacyl-[acyl-carrier-protein] dehydratase, FabZ form (EC 4.2.1.59)

+

complex_subunit_optional_ftr50357: 0

+

complex_subunit_triggering_ftr50357: 1

+

complex_subunit_features_ftr50357: FW510-R12_contig_1_1320

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03155: 3-hydroxybutyrate dehydrogenase (EC 1.1.1.30)

+

complex_subunit_optional_ftr03155: 0

+

complex_subunit_triggering_ftr03155: 1

+

complex_subunit_features_ftr03155: FW510-R12_contig_1_3528

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08519: Thioredoxin

+

complex_subunit_optional_ftr08519: 0

+

complex_subunit_triggering_ftr08519: 1

+

complex_subunit_features_ftr08519: FW510-R12_contig_1_1230;FW510-R12_contig_1_744

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05915: Phosphoadenylyl-sulfate reductase [thioredoxin] (EC 1.8.4.8)

+

complex_subunit_optional_ftr05915: 0

+

complex_subunit_triggering_ftr05915: 1

+

complex_subunit_features_ftr05915: FW510-R12_contig_1_1812

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00748: NADP-dependent malic enzyme (EC 1.1.1.40)

+

complex_subunit_optional_ftr00748: 0

+

complex_subunit_triggering_ftr00748: 1

+

complex_subunit_features_ftr00748: FW510-R12_contig_1_815

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03106: Thymidylate kinase (EC 2.7.4.9)

+

complex_subunit_optional_ftr03106: 0

+

complex_subunit_triggering_ftr03106: 1

+

complex_subunit_features_ftr03106: FW510-R12_contig_1_1758

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08047: Mercuric ion reductase (EC:1.16.1.1)

+

complex_subunit_optional_ftr08047: 0

+

complex_subunit_triggering_ftr08047: 1

+

complex_subunit_features_ftr08047: FW510-R12_contig_1_1957;FW510-R12_contig_1_2191

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr13255: UDP-N-acetylmuramoyl-tripeptide--D-alanyl-D-alanine ligase (EC 6.3.2.10)

+

complex_subunit_optional_ftr13255: 0

+

complex_subunit_triggering_ftr13255: 1

+

complex_subunit_features_ftr13255: FW510-R12_contig_1_3202

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00425: Cytidine deaminase (EC 3.5.4.5)

+

complex_subunit_optional_ftr00425: 0

+

complex_subunit_triggering_ftr00425: 1

+

complex_subunit_features_ftr00425: FW510-R12_contig_1_1213

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04740: Acetyl-coenzyme A carboxyl transferase beta chain (EC 6.4.1.2)

+

complex_subunit_optional_ftr04740: 0

+

complex_subunit_triggering_ftr04740: 1

+

complex_subunit_features_ftr04740: FW510-R12_contig_1_1650

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04739: Acetyl-coenzyme A carboxyl transferase alpha chain (EC 6.4.1.2)

+

complex_subunit_optional_ftr04739: 0

+

complex_subunit_triggering_ftr04739: 1

+

complex_subunit_features_ftr04739: FW510-R12_contig_1_1313

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03951: 2-methylcitrate dehydratase (EC 4.2.1.79)

+

complex_subunit_optional_ftr03951: 0

+

complex_subunit_triggering_ftr03951: 1

+

complex_subunit_features_ftr03951: FW510-R12_contig_1_1868

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01699: Aminodeoxychorismate lyase (EC 4.1.3.38)

+

complex_subunit_optional_ftr01699: 0

+

complex_subunit_triggering_ftr01699: 1

+

complex_subunit_features_ftr01699: FW510-R12_contig_1_1756

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00145: Lipid A biosynthesis lauroyl acyltransferase (EC 2.3.1.241)

+

complex_subunit_optional_tftr00145: 0

+

complex_subunit_triggering_tftr00145: 1

+

complex_subunit_features_tftr00145: FW510-R12_contig_1_221;FW510-R12_contig_1_348

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07731: Gluconate 2-dehydrogenase (EC 1.1.99.3), membrane-bound, gamma subunit

+

complex_subunit_optional_ftr07731: 0

+

complex_subunit_triggering_ftr07731: 1

+

complex_subunit_features_ftr07731: FW510-R12_contig_1_3052

+

complex_subunit_note_ftr07730: Gluconate 2-dehydrogenase (EC 1.1.99.3), membrane-bound, cytochrome c

+

complex_subunit_optional_ftr07730: 0

+

complex_subunit_triggering_ftr07730: 1

+

complex_subunit_features_ftr07730: FW510-R12_contig_1_3054

+

complex_subunit_note_ftr07729: Gluconate 2-dehydrogenase (EC 1.1.99.3), membrane-bound, flavoprotein

+

complex_subunit_optional_ftr07729: 0

+

complex_subunit_triggering_ftr07729: 1

+

complex_subunit_features_ftr07729: FW510-R12_contig_1_3053

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02461: Cobalt-zinc-cadmium resistance protein CzcD

+

complex_subunit_optional_ftr02461: 0

+

complex_subunit_triggering_ftr02461: 1

+

complex_subunit_features_ftr02461: FW510-R12_contig_1_1663;FW510-R12_contig_1_2047;FW510-R12_contig_1_2130;FW510-R12_contig_1_2137;FW510-R12_contig_1_2139;FW510-R12_contig_1_3112;FW510-R12_contig_2_92;FW510-R12_contig_2_94

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01698: Para-aminobenzoate synthase, amidotransferase component (EC 2.6.1.85)

+

complex_subunit_optional_ftr01698: 0

+

complex_subunit_triggering_ftr01698: 1

+

complex_subunit_features_ftr01698: FW510-R12_contig_1_3343

+

complex_subunit_note_ftr01697: Para-aminobenzoate synthase, aminase component (EC 2.6.1.85)

+

complex_subunit_optional_ftr01697: 0

+

complex_subunit_triggering_ftr01697: 1

+

complex_subunit_features_ftr01697: FW510-R12_contig_1_1755

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09156: Succinate dehydrogenase cytochrome b-556 subunit

+

complex_subunit_optional_ftr09156: 0

+

complex_subunit_triggering_ftr09156: 1

+

complex_subunit_features_ftr09156: FW510-R12_contig_1_2476;FW510-R12_contig_1_3393

+

complex_subunit_note_ftr09157: Succinate dehydrogenase hydrophobic membrane anchor protein

+

complex_subunit_optional_ftr09157: 0

+

complex_subunit_triggering_ftr09157: 1

+

complex_subunit_features_ftr09157: FW510-R12_contig_1_2475;FW510-R12_contig_1_3392

+

complex_subunit_note_tftr00036: Succinate dehydrogenase iron-sulfur protein (EC 1.3.5.1)

+

complex_subunit_optional_tftr00036: 0

+

complex_subunit_triggering_tftr00036: 1

+

complex_subunit_features_tftr00036: FW510-R12_contig_1_2473;FW510-R12_contig_1_3394

+

complex_subunit_note_tftr00716: Succinate dehydrogenase flavoprotein subunit (EC 1.3.5.1)

+

complex_subunit_optional_tftr00716: 0

+

complex_subunit_triggering_tftr00716: 1

+

complex_subunit_features_tftr00716: FW510-R12_contig_1_2474

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03110: Similar to phosphoglycolate phosphatase, clustered with ubiquinone biosynthesis SAM-dependent O-methyltransferase

+

complex_subunit_optional_ftr03110: 0

+

complex_subunit_triggering_ftr03110: 1

+

complex_subunit_features_ftr03110: FW510-R12_contig_1_1483

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01753: Phosphoglycolate phosphatase (EC 3.1.3.18)

+

complex_subunit_optional_ftr01753: 0

+

complex_subunit_triggering_ftr01753: 1

+

complex_subunit_features_ftr01753: FW510-R12_contig_1_857

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00512: Bacterioferritin (EC 1.16.3.1)

+

complex_subunit_optional_tftr00512: 0

+

complex_subunit_triggering_tftr00512: 1

+

complex_subunit_features_tftr00512: FW510-R12_contig_1_353;FW510-R12_contig_1_389

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04424: 3-dehydroquinate dehydratase II (EC 4.2.1.10)

+

complex_subunit_optional_ftr04424: 0

+

complex_subunit_triggering_ftr04424: 1

+

complex_subunit_features_ftr04424: FW510-R12_contig_1_326

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: FW510-R12_contig_1_3094

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01408: Acyl carrier protein

+

complex_subunit_optional_ftr01408: 1

+

complex_subunit_triggering_ftr01408: 0

+

complex_subunit_features_ftr01408: FW510-R12_contig_1_1377;FW510-R12_contig_1_1753;FW510-R12_contig_1_442

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04188: Glycerol kinase (EC 2.7.1.30)

+

complex_subunit_optional_ftr04188: 0

+

complex_subunit_triggering_ftr04188: 1

+

complex_subunit_features_ftr04188: FW510-R12_contig_1_3511

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04140: 2,3-diketo-5-methylthiopentyl-1-phosphate enolase-phosphatase (EC 3.1.3.77)

+

complex_subunit_optional_ftr04140: 0

+

complex_subunit_triggering_ftr04140: 1

+

complex_subunit_features_ftr04140: FW510-R12_contig_1_1678

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01104: UDP-N-acetyl-D-glucosamine 6-dehydrogenase (EC 1.1.1.136)

+

complex_subunit_optional_tftr01104: 0

+

complex_subunit_triggering_tftr01104: 1

+

complex_subunit_features_tftr01104: FW510-R12_contig_1_2288;FW510-R12_contig_1_3258

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02237: NAD(P) transhydrogenase subunit beta (EC 1.6.1.2)

+

complex_subunit_optional_ftr02237: 0

+

complex_subunit_triggering_ftr02237: 1

+

complex_subunit_features_ftr02237: FW510-R12_contig_1_1219

+

complex_subunit_note_tftr00110: NAD(P) transhydrogenase C-domain of subunit alpha (EC 1.6.1.2)

+

complex_subunit_optional_tftr00110: 0

+

complex_subunit_triggering_tftr00110: 1

+

complex_subunit_features_tftr00110: FW510-R12_contig_1_1218

+

complex_subunit_note_tftr00308: NAD(P) transhydrogenase N-domain of subunit alpha (EC 1.6.1.2)

+

complex_subunit_optional_tftr00308: 0

+

complex_subunit_triggering_tftr00308: 1

+

complex_subunit_features_tftr00308: FW510-R12_contig_1_1214

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01011: Peptide-methionine (R)-S-oxide reductase MsrB (EC 1.8.4.12)

+

complex_subunit_optional_tftr01011: 0

+

complex_subunit_triggering_tftr01011: 1

+

complex_subunit_features_tftr01011: FW510-R12_contig_1_1947;FW510-R12_contig_1_2737

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01878: Pterin-4-alpha-carbinolamine dehydratase (EC 4.2.1.96)

+

complex_subunit_optional_ftr01878: 0

+

complex_subunit_triggering_ftr01878: 1

+

complex_subunit_features_ftr01878: FW510-R12_contig_1_2257

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00068: Nicotinate phosphoribosyltransferase (EC 6.3.4.21)

+

complex_subunit_optional_tftr00068: 0

+

complex_subunit_triggering_tftr00068: 1

+

complex_subunit_features_tftr00068: FW510-R12_contig_1_2724

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08495: Inosine-5'-monophosphate dehydrogenase (EC 1.1.1.205)

+

complex_subunit_optional_ftr08495: 0

+

complex_subunit_triggering_ftr08495: 1

+

complex_subunit_features_ftr08495: FW510-R12_contig_1_2199

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01399: Xylulose-5-phosphate phosphoketolase (EC 4.1.2.9)

+

complex_subunit_optional_ftr01399: 0

+

complex_subunit_triggering_ftr01399: 1

+

complex_subunit_features_ftr01399: FW510-R12_contig_1_2184;FW510-R12_contig_1_2282

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00245: Pyrimidine/purine nucleotide 5'-monophosphate nucleosidase PpnN (EC 3.2.2.4) (EC 3.2.2.10)

+

complex_subunit_optional_tftr00245: 0

+

complex_subunit_triggering_tftr00245: 1

+

complex_subunit_features_tftr00245: FW510-R12_contig_1_2897

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09906: Phosphoglucomutase (EC 5.4.2.2)

+

complex_subunit_optional_ftr09906: 0

+

complex_subunit_triggering_ftr09906: 1

+

complex_subunit_features_ftr09906: FW510-R12_contig_1_3557

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03194: Phosphomevalonate kinase (EC 2.7.4.2)

+

complex_subunit_optional_ftr03194: 0

+

complex_subunit_triggering_ftr03194: 1

+

complex_subunit_features_ftr03194: FW510-R12_contig_1_468

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05942: Probable GTPase related to EngC

+

complex_subunit_optional_ftr05942: 0

+

complex_subunit_triggering_ftr05942: 1

+

complex_subunit_features_ftr05942: FW510-R12_contig_1_813

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08142: Similar to eukaryotic Peptidyl prolyl 4-hydroxylase, alpha subunit (EC 1.14.11.2)

+

complex_subunit_optional_ftr08142: 0

+

complex_subunit_triggering_ftr08142: 1

+

complex_subunit_features_ftr08142: FW510-R12_contig_1_357

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04418: 2-keto-3-deoxy-D-arabino-heptulosonate-7-phosphate synthase I alpha (EC 2.5.1.54)

+

complex_subunit_optional_ftr04418: 0

+

complex_subunit_triggering_ftr04418: 1

+

complex_subunit_features_ftr04418: FW510-R12_contig_1_1429

+

complex_subunit_note_ftr04420: 2-keto-3-deoxy-D-arabino-heptulosonate-7-phosphate synthase II (EC 2.5.1.54)

+

complex_subunit_optional_ftr04420: 0

+

complex_subunit_triggering_ftr04420: 1

+

complex_subunit_features_ftr04420: FW510-R12_contig_1_1291

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01675: Transketolase (EC 2.2.1.1)

+

complex_subunit_optional_ftr01675: 0

+

complex_subunit_triggering_ftr01675: 1

+

complex_subunit_features_ftr01675: FW510-R12_contig_1_3368;FW510-R12_contig_1_3558

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00516: 5-methyltetrahydrofolate--homocysteine methyltransferase (EC 2.1.1.13)

+

complex_subunit_optional_ftr00516: 0

+

complex_subunit_triggering_ftr00516: 1

+

complex_subunit_features_ftr00516: FW510-R12_contig_1_1563

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00898: 5-methyltetrahydrofolate--homocysteine methyltransferase (EC 2.1.1.13), C-terminal domain

+

complex_subunit_optional_tftr00898: 0

+

complex_subunit_triggering_tftr00898: 1

+

complex_subunit_features_tftr00898: FW510-R12_contig_1_1561

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03198: 1-deoxy-D-xylulose 5-phosphate synthase (EC 2.2.1.7)

+

complex_subunit_optional_ftr03198: 0

+

complex_subunit_triggering_ftr03198: 1

+

complex_subunit_features_ftr03198: FW510-R12_contig_1_3167

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01745: D-3-phosphoglycerate dehydrogenase (EC 1.1.1.95)

+

complex_subunit_optional_ftr01745: 0

+

complex_subunit_triggering_ftr01745: 1

+

complex_subunit_features_ftr01745: FW510-R12_contig_1_1347;FW510-R12_contig_1_1641

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09511: Phosphoribosylformylglycinamidine synthase, synthetase subunit (EC 6.3.5.3)

+

complex_subunit_optional_ftr09511: 0

+

complex_subunit_triggering_ftr09511: 1

+

complex_subunit_features_ftr09511: FW510-R12_contig_1_1059

+

complex_subunit_note_ftr09512: Phosphoribosylformylglycinamidine synthase, glutamine amidotransferase subunit (EC 6.3.5.3)

+

complex_subunit_optional_ftr09512: 0

+

complex_subunit_triggering_ftr09512: 1

+

complex_subunit_features_ftr09512: FW510-R12_contig_1_1059

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01779: Glycine cleavage system H protein

+

complex_subunit_optional_ftr01779: 0

+

complex_subunit_triggering_ftr01779: 1

+

complex_subunit_features_ftr01779: FW510-R12_contig_1_903

+

complex_subunit_note_ftr01606: Aminomethyltransferase (glycine cleavage system T protein) (EC 2.1.2.10)

+

complex_subunit_optional_ftr01606: 0

+

complex_subunit_triggering_ftr01606: 1

+

complex_subunit_features_ftr01606: FW510-R12_contig_1_902

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00883: 3-deoxy-D-manno-octulosonic acid transferase (EC 2.4.99.12)(EC 2.4.99.13)

+

complex_subunit_optional_tftr00883: 0

+

complex_subunit_triggering_tftr00883: 1

+

complex_subunit_features_tftr00883: FW510-R12_contig_1_349

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04865: Glucokinase (EC 2.7.1.2)

+

complex_subunit_optional_ftr04865: 0

+

complex_subunit_triggering_ftr04865: 1

+

complex_subunit_features_ftr04865: FW510-R12_contig_1_738

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02298: Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)

+

complex_subunit_optional_ftr02298: 0

+

complex_subunit_triggering_ftr02298: 1

+

complex_subunit_features_ftr02298: FW510-R12_contig_1_3094

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01839: Glucose-6-phosphate isomerase (EC 5.3.1.9)

+

complex_subunit_optional_ftr01839: 0

+

complex_subunit_triggering_ftr01839: 1

+

complex_subunit_features_ftr01839: FW510-R12_contig_1_3556

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01062: Aspartate 1-decarboxylase (EC 4.1.1.11)

+

complex_subunit_optional_ftr01062: 0

+

complex_subunit_triggering_ftr01062: 1

+

complex_subunit_features_ftr01062: FW510-R12_contig_1_2650

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09093: Aldehyde dehydrogenase B (EC 1.2.1.22)

+

complex_subunit_optional_ftr09093: 0

+

complex_subunit_triggering_ftr09093: 1

+

complex_subunit_features_ftr09093: FW510-R12_contig_1_2510

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02433: Magnesium and cobalt transport protein CorA

+

complex_subunit_optional_ftr02433: 0

+

complex_subunit_triggering_ftr02433: 1

+

complex_subunit_features_ftr02433: FW510-R12_contig_1_2922

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01064: 2-dehydropantoate 2-reductase (EC 1.1.1.169)

+

complex_subunit_optional_ftr01064: 0

+

complex_subunit_triggering_ftr01064: 1

+

complex_subunit_features_ftr01064: FW510-R12_contig_1_1367

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02446: Sulfate permease

+

complex_subunit_optional_ftr02446: 0

+

complex_subunit_triggering_ftr02446: 1

+

complex_subunit_features_ftr02446: FW510-R12_contig_1_2010;FW510-R12_contig_1_34

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00148: Aconitate hydratase (EC 4.2.1.3)

+

complex_subunit_optional_ftr00148: 0

+

complex_subunit_triggering_ftr00148: 1

+

complex_subunit_features_ftr00148: FW510-R12_contig_1_1841;FW510-R12_contig_1_3391

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02935: Glucosamine-1-phosphate N-acetyltransferase (EC 2.3.1.157)

+

complex_subunit_optional_ftr02935: 0

+

complex_subunit_triggering_ftr02935: 1

+

complex_subunit_features_ftr02935: FW510-R12_contig_1_440

+

complex_subunit_note_ftr02936: N-acetylglucosamine-1-phosphate uridyltransferase (EC 2.7.7.23)

+

complex_subunit_optional_ftr02936: 0

+

complex_subunit_triggering_ftr02936: 1

+

complex_subunit_features_ftr02936: FW510-R12_contig_1_440

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10838: Spermidine synthase (EC 2.5.1.16)

+

complex_subunit_optional_ftr10838: 0

+

complex_subunit_triggering_ftr10838: 1

+

complex_subunit_features_ftr10838: FW510-R12_contig_1_3532

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01164: Sirohydrochlorin ferrochelatase activity of CysG (EC 4.99.1.4)

+

complex_subunit_optional_tftr01164: 0

+

complex_subunit_triggering_tftr01164: 1

+

complex_subunit_features_tftr01164: FW510-R12_contig_1_1814

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03314: L-threonine 3-dehydrogenase (EC 1.1.1.103)

+

complex_subunit_optional_ftr03314: 0

+

complex_subunit_triggering_ftr03314: 1

+

complex_subunit_features_ftr03314: FW510-R12_contig_1_1873

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00640: Dethiobiotin synthase BioD (EC 6.3.3.3)

+

complex_subunit_optional_tftr00640: 0

+

complex_subunit_triggering_tftr00640: 1

+

complex_subunit_features_tftr00640: FW510-R12_contig_1_241

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr31849: D-serine ammonia-lyase (EC 4.3.1.18)

+

complex_subunit_optional_ftr31849: 0

+

complex_subunit_triggering_ftr31849: 1

+

complex_subunit_features_ftr31849: FW510-R12_contig_1_601

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr50383: Low-specificity L-threonine aldolase (EC 4.1.2.48)

+

complex_subunit_optional_ftr50383: 0

+

complex_subunit_triggering_ftr50383: 1

+

complex_subunit_features_ftr50383: FW510-R12_contig_1_3171

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08487: D-alanine--D-alanine ligase (EC 6.3.2.4)

+

complex_subunit_optional_ftr08487: 0

+

complex_subunit_triggering_ftr08487: 1

+

complex_subunit_features_ftr08487: FW510-R12_contig_1_3197

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07570: predicted N-acetylglucosamine kinase, glucokinase-like (EC 2.7.1.59)

+

complex_subunit_optional_ftr07570: 0

+

complex_subunit_triggering_ftr07570: 1

+

complex_subunit_features_ftr07570: FW510-R12_contig_1_166

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01347: Ribonucleotide reductase of class Ia (aerobic), beta subunit (EC 1.17.4.1)

+

complex_subunit_optional_ftr01347: 0

+

complex_subunit_triggering_ftr01347: 1

+

complex_subunit_features_ftr01347: FW510-R12_contig_1_1666;FW510-R12_contig_1_674

+

complex_subunit_note_ftr01346: Ribonucleotide reductase of class Ia (aerobic), alpha subunit (EC 1.17.4.1)

+

complex_subunit_optional_ftr01346: 0

+

complex_subunit_triggering_ftr01346: 1

+

complex_subunit_features_ftr01346: FW510-R12_contig_1_1667

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03611: Adenosylhomocysteinase (EC 3.3.1.1)

+

complex_subunit_optional_ftr03611: 0

+

complex_subunit_triggering_ftr03611: 1

+

complex_subunit_features_ftr03611: FW510-R12_contig_1_1684;FW510-R12_contig_1_3245

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr08957: S-formylglutathione hydrolase (EC 3.1.2.12)

+

complex_subunit_optional_ftr08957: 0

+

complex_subunit_triggering_ftr08957: 1

+

complex_subunit_features_ftr08957: FW510-R12_contig_1_1446

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01383: Dihydrolipoamide dehydrogenase of pyruvate dehydrogenase complex (EC 1.8.1.4)

+

complex_subunit_optional_ftr01383: 0

+

complex_subunit_triggering_ftr01383: 1

+

complex_subunit_features_ftr01383: FW510-R12_contig_1_839

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06750: Dihydrolipoamide dehydrogenase of 2-oxoglutarate dehydrogenase (EC 1.8.1.4)

+

complex_subunit_optional_ftr06750: 0

+

complex_subunit_triggering_ftr06750: 1

+

complex_subunit_features_ftr06750: FW510-R12_contig_1_1804

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10823: Thiamine-monophosphate kinase (EC 2.7.4.16)

+

complex_subunit_optional_ftr10823: 0

+

complex_subunit_triggering_ftr10823: 1

+

complex_subunit_features_ftr10823: FW510-R12_contig_1_1087

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02300: Sulfate and thiosulfate import ATP-binding protein CysA (EC 3.6.3.25)

+

complex_subunit_optional_ftr02300: 0

+

complex_subunit_triggering_ftr02300: 1

+

complex_subunit_features_ftr02300: FW510-R12_contig_1_2388

+

complex_subunit_note_ftr02303: Sulfate and thiosulfate binding protein CysP

+

complex_subunit_optional_ftr02303: 0

+

complex_subunit_triggering_ftr02303: 1

+

complex_subunit_features_ftr02303: FW510-R12_contig_1_2391

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09044: Trehalase (EC 3.2.1.28)

+

complex_subunit_optional_ftr09044: 0

+

complex_subunit_triggering_ftr09044: 1

+

complex_subunit_features_ftr09044: FW510-R12_contig_1_3451

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09045: Cytoplasmic trehalase (EC 3.2.1.28)

+

complex_subunit_optional_ftr09045: 0

+

complex_subunit_triggering_ftr09045: 1

+

complex_subunit_features_ftr09045: FW510-R12_contig_1_3451

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02811: Imidazoleglycerol-phosphate dehydratase (EC 4.2.1.19)

+

complex_subunit_optional_ftr02811: 0

+

complex_subunit_triggering_ftr02811: 1

+

complex_subunit_features_ftr02811: FW510-R12_contig_1_1672

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05892: Argininosuccinate synthase (EC 6.3.4.5)

+

complex_subunit_optional_ftr05892: 0

+

complex_subunit_triggering_ftr05892: 1

+

complex_subunit_features_ftr05892: FW510-R12_contig_1_1494

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01063: 3-methyl-2-oxobutanoate hydroxymethyltransferase (EC 2.1.2.11)

+

complex_subunit_optional_ftr01063: 0

+

complex_subunit_triggering_ftr01063: 1

+

complex_subunit_features_ftr01063: FW510-R12_contig_1_2652

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03141: 3-hydroxybutyryl-CoA epimerase (EC 5.1.2.3)

+

complex_subunit_optional_ftr03141: 0

+

complex_subunit_triggering_ftr03141: 1

+

complex_subunit_features_ftr03141: FW510-R12_contig_1_2078;FW510-R12_contig_1_2110;FW510-R12_contig_1_2366;FW510-R12_contig_1_2682

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06375: FMN adenylyltransferase (EC 2.7.7.2)

+

complex_subunit_optional_ftr06375: 0

+

complex_subunit_triggering_ftr06375: 1

+

complex_subunit_features_ftr06375: FW510-R12_contig_1_1528

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01691: FolM Alternative dihydrofolate reductase 1

+

complex_subunit_optional_ftr01691: 0

+

complex_subunit_triggering_ftr01691: 1

+

complex_subunit_features_ftr01691: FW510-R12_contig_1_222

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01690: Dihydrofolate reductase (EC 1.5.1.3)

+

complex_subunit_optional_ftr01690: 0

+

complex_subunit_triggering_ftr01690: 1

+

complex_subunit_features_ftr01690: FW510-R12_contig_1_1179;FW510-R12_contig_1_3170

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01190: 2-polyprenylphenol hydroxylase

+

complex_subunit_optional_tftr01190: 0

+

complex_subunit_triggering_tftr01190: 1

+

complex_subunit_features_tftr01190: FW510-R12_contig_1_3179

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04856: Ubiquinone biosynthesis monooxygenase UbiB

+

complex_subunit_optional_ftr04856: 0

+

complex_subunit_triggering_ftr04856: 1

+

complex_subunit_features_ftr04856: FW510-R12_contig_1_2186

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00206: Maleylacetoacetate isomerase (EC 5.2.1.2)

+

complex_subunit_optional_ftr00206: 0

+

complex_subunit_triggering_ftr00206: 1

+

complex_subunit_features_ftr00206: FW510-R12_contig_1_2576;FW510-R12_contig_1_859

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01634: Gamma-glutamyl phosphate reductase (EC 1.2.1.41)

+

complex_subunit_optional_ftr01634: 0

+

complex_subunit_triggering_ftr01634: 1

+

complex_subunit_features_ftr01634: FW510-R12_contig_1_1500

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00054: Glutamate synthase [NADPH] small chain (EC 1.4.1.13)

+

complex_subunit_optional_ftr00054: 0

+

complex_subunit_triggering_ftr00054: 1

+

complex_subunit_features_ftr00054: FW510-R12_contig_1_13

+

complex_subunit_note_ftr02622: Glutamate synthase [NADPH] large chain (EC 1.4.1.13)

+

complex_subunit_optional_ftr02622: 0

+

complex_subunit_triggering_ftr02622: 1

+

complex_subunit_features_ftr02622: FW510-R12_contig_1_14;FW510-R12_contig_1_3004;FW510-R12_contig_1_753

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00968: Uridylate kinase (EC 2.7.4.22)

+

complex_subunit_optional_tftr00968: 0

+

complex_subunit_triggering_tftr00968: 1

+

complex_subunit_features_tftr00968: FW510-R12_contig_1_1328

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03204: (2E,6E)-farnesyl diphosphate synthase (EC 2.5.1.10)

+

complex_subunit_optional_ftr03204: 0

+

complex_subunit_triggering_ftr03204: 1

+

complex_subunit_features_ftr03204: FW510-R12_contig_1_1309

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr30360: UDP-N-acetylmuramoyl-L-alanine---D-glutamate ligase (EC 6.3.2.9)

+

complex_subunit_optional_ftr30360: 0

+

complex_subunit_triggering_ftr30360: 1

+

complex_subunit_features_ftr30360: FW510-R12_contig_1_3134

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02124: Multimodular transpeptidase-transglycosylase (EC 2.4.1.129) (EC 3.4.-.-)

+

complex_subunit_optional_ftr02124: 0

+

complex_subunit_triggering_ftr02124: 1

+

complex_subunit_features_ftr02124: FW510-R12_contig_1_3116;FW510-R12_contig_1_3287

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr11098: 2-dehydro-3-deoxyphosphogalactonate aldolase (EC 4.1.2.21)

+

complex_subunit_optional_ftr11098: 0

+

complex_subunit_triggering_ftr11098: 1

+

complex_subunit_features_ftr11098: FW510-R12_contig_1_979

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00463: Ribonuclease P protein component (EC 3.1.26.5)

+

complex_subunit_optional_ftr00463: 0

+

complex_subunit_triggering_ftr00463: 1

+

complex_subunit_features_ftr00463: FW510-R12_contig_1_3562

+

complex_subunit_note_ftr02755: Ribonuclease III (EC 3.1.26.3)

+

complex_subunit_optional_ftr02755: 0

+

complex_subunit_triggering_ftr02755: 1

+

complex_subunit_features_ftr02755: FW510-R12_contig_1_2357

+

complex_subunit_note_ftr00139: RNA polymerase sigma factor RpoD

+

complex_subunit_optional_ftr00139: 0

+

complex_subunit_triggering_ftr00139: 1

+

complex_subunit_features_ftr00139: FW510-R12_contig_1_219

+

complex_subunit_note_ftr08515: DNA-directed RNA polymerase alpha subunit (EC 2.7.7.6)

+

complex_subunit_optional_ftr08515: 0

+

complex_subunit_triggering_ftr08515: 1

+

complex_subunit_features_ftr08515: FW510-R12_contig_1_1288

+

complex_subunit_note_ftr08516: DNA-directed RNA polymerase beta subunit (EC 2.7.7.6)

+

complex_subunit_optional_ftr08516: 0

+

complex_subunit_triggering_ftr08516: 1

+

complex_subunit_features_ftr08516: FW510-R12_contig_1_1257;FW510-R12_contig_1_1258

+

complex_subunit_note_ftr04845: Transcription termination protein NusA

+

complex_subunit_optional_ftr04845: 0

+

complex_subunit_triggering_ftr04845: 1

+

complex_subunit_features_ftr04845: FW510-R12_contig_1_1787

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03490: Undecaprenyl-diphosphatase (EC 3.6.1.27)

+

complex_subunit_optional_ftr03490: 0

+

complex_subunit_triggering_ftr03490: 1

+

complex_subunit_features_ftr03490: FW510-R12_contig_1_60

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01148: N5-carboxyaminoimidazole ribonucleotide synthase (EC 6.3.4.18)

+

complex_subunit_optional_tftr01148: 0

+

complex_subunit_triggering_tftr01148: 1

+

complex_subunit_features_tftr01148: FW510-R12_contig_1_2904

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00153: Citrate synthase (si) (EC 2.3.3.1)

+

complex_subunit_optional_ftr00153: 0

+

complex_subunit_triggering_ftr00153: 1

+

complex_subunit_features_ftr00153: FW510-R12_contig_1_3289

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05047: NAD synthetase (EC 6.3.1.5)

+

complex_subunit_optional_ftr05047: 0

+

complex_subunit_triggering_ftr05047: 1

+

complex_subunit_features_ftr05047: FW510-R12_contig_1_1009

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01408: Acyl carrier protein

+

complex_subunit_optional_ftr01408: 1

+

complex_subunit_triggering_ftr01408: 0

+

complex_subunit_features_ftr01408: FW510-R12_contig_1_1377;FW510-R12_contig_1_1753;FW510-R12_contig_1_442

+

complex_subunit_note_ftr05208: Acyl-[acyl-carrier-protein]--UDP-N-acetylglucosamine O-acyltransferase (EC 2.3.1.129)

+

complex_subunit_optional_ftr05208: 0

+

complex_subunit_triggering_ftr05208: 1

+

complex_subunit_features_ftr05208: FW510-R12_contig_1_1319

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05083: 8-amino-7-oxononanoate synthase (EC 2.3.1.47)

+

complex_subunit_optional_ftr05083: 0

+

complex_subunit_triggering_ftr05083: 1

+

complex_subunit_features_ftr05083: FW510-R12_contig_1_610

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00051: Delta-1-pyrroline-5-carboxylate dehydrogenase (EC 1.2.1.88)

+

complex_subunit_optional_tftr00051: 0

+

complex_subunit_triggering_tftr00051: 1

+

complex_subunit_features_tftr00051: FW510-R12_contig_1_2329;FW510-R12_contig_1_255

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02934: Phosphoglucosamine mutase (EC 5.4.2.10)

+

complex_subunit_optional_ftr02934: 0

+

complex_subunit_triggering_ftr02934: 1

+

complex_subunit_features_ftr02934: FW510-R12_contig_1_2267;FW510-R12_contig_1_3520

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04718: 2,3,4,5-tetrahydropyridine-2,6-dicarboxylate N-succinyltransferase (EC 2.3.1.117)

+

complex_subunit_optional_ftr04718: 0

+

complex_subunit_triggering_ftr04718: 1

+

complex_subunit_features_ftr04718: FW510-R12_contig_1_2818

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04984: Thiol peroxidase, Bcp-type (EC 1.11.1.15)

+

complex_subunit_optional_ftr04984: 0

+

complex_subunit_triggering_ftr04984: 1

+

complex_subunit_features_ftr04984: FW510-R12_contig_1_2659

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05889: N-acetyl-gamma-glutamyl-phosphate reductase (EC 1.2.1.38)

+

complex_subunit_optional_ftr05889: 0

+

complex_subunit_triggering_ftr05889: 1

+

complex_subunit_features_ftr05889: FW510-R12_contig_1_1497

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05210: UDP-2,3-diacylglucosamine diphosphatase (EC 3.6.1.54)

+

complex_subunit_optional_ftr05210: 0

+

complex_subunit_triggering_ftr05210: 1

+

complex_subunit_features_ftr05210: FW510-R12_contig_1_2672

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01066: Pantoate--beta-alanine ligase (EC 6.3.2.1)

+

complex_subunit_optional_ftr01066: 0

+

complex_subunit_triggering_ftr01066: 1

+

complex_subunit_features_ftr01066: FW510-R12_contig_1_2651

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05824: Alcohol dehydrogenase (EC 1.1.1.1)

+

complex_subunit_optional_ftr05824: 0

+

complex_subunit_triggering_ftr05824: 1

+

complex_subunit_features_ftr05824: FW510-R12_contig_1_1015;FW510-R12_contig_1_1090;FW510-R12_contig_1_1802;FW510-R12_contig_1_2081;FW510-R12_contig_1_2341;FW510-R12_contig_1_2602

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05917: Sulfite reductase [NADPH] flavoprotein alpha-component (EC 1.8.1.2)

+

complex_subunit_optional_ftr05917: 0

+

complex_subunit_triggering_ftr05917: 1

+

complex_subunit_features_ftr05917: FW510-R12_contig_1_1810

+

complex_subunit_note_ftr03124: Sulfite reductase [NADPH] hemoprotein beta-component (EC 1.8.1.2)

+

complex_subunit_optional_ftr03124: 0

+

complex_subunit_triggering_ftr03124: 1

+

complex_subunit_features_ftr03124: FW510-R12_contig_1_1811

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01028: L-alanine-DL-glutamate epimerase (EC 5.1.1.n1)

+

complex_subunit_optional_tftr01028: 0

+

complex_subunit_triggering_tftr01028: 1

+

complex_subunit_features_tftr01028: FW510-R12_contig_1_3347

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02389: Cytochrome c-type biogenesis protein DsbD, protein-disulfide reductase (EC 1.8.1.8)

+

complex_subunit_optional_ftr02389: 0

+

complex_subunit_triggering_ftr02389: 1

+

complex_subunit_features_ftr02389: FW510-R12_contig_1_328

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04035: Indole-3-glycerol phosphate synthase (EC 4.1.1.48)

+

complex_subunit_optional_ftr04035: 0

+

complex_subunit_triggering_ftr04035: 1

+

complex_subunit_features_ftr04035: FW510-R12_contig_1_3341

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00875: Acetolactate synthase large subunit (EC 2.2.1.6)

+

complex_subunit_optional_ftr00875: 0

+

complex_subunit_triggering_ftr00875: 1

+

complex_subunit_features_ftr00875: FW510-R12_contig_1_620

+

complex_subunit_note_ftr00876: Acetolactate synthase small subunit (EC 2.2.1.6)

+

complex_subunit_optional_ftr00876: 0

+

complex_subunit_triggering_ftr00876: 1

+

complex_subunit_features_ftr00876: FW510-R12_contig_1_619

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04446: Agmatine deiminase (EC 3.5.3.12)

+

complex_subunit_optional_ftr04446: 0

+

complex_subunit_triggering_ftr04446: 1

+

complex_subunit_features_ftr04446: FW510-R12_contig_1_1931

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00073: Phosphomethylpyrimidine synthase ThiC (EC 4.1.99.17)

+

complex_subunit_optional_tftr00073: 0

+

complex_subunit_triggering_tftr00073: 1

+

complex_subunit_features_tftr00073: FW510-R12_contig_1_761

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01072: Phosphopantothenoylcysteine decarboxylase (EC 4.1.1.36)

+

complex_subunit_optional_ftr01072: 0

+

complex_subunit_triggering_ftr01072: 1

+

complex_subunit_features_ftr01072: FW510-R12_contig_1_3522

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06031: Deoxyuridine 5'-triphosphate nucleotidohydrolase (EC 3.6.1.23)

+

complex_subunit_optional_ftr06031: 0

+

complex_subunit_triggering_ftr06031: 1

+

complex_subunit_features_ftr06031: FW510-R12_contig_1_3521

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05035: Tryptophan 2,3-dioxygenase (EC 1.13.11.11)

+

complex_subunit_optional_ftr05035: 0

+

complex_subunit_triggering_ftr05035: 1

+

complex_subunit_features_ftr05035: FW510-R12_contig_1_3397

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr10840: S-adenosylmethionine decarboxylase proenzyme (EC 4.1.1.50), prokaryotic class 1A

+

complex_subunit_optional_ftr10840: 0

+

complex_subunit_triggering_ftr10840: 1

+

complex_subunit_features_ftr10840: FW510-R12_contig_1_3337

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr07667: Ferrochelatase, protoheme ferro-lyase (EC 4.99.1.1)

+

complex_subunit_optional_ftr07667: 0

+

complex_subunit_triggering_ftr07667: 1

+

complex_subunit_features_ftr07667: FW510-R12_contig_1_788

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00809: Hydroxyacylglutathione hydrolase (EC 3.1.2.6)

+

complex_subunit_optional_ftr00809: 0

+

complex_subunit_triggering_ftr00809: 1

+

complex_subunit_features_ftr00809: FW510-R12_contig_1_2379;FW510-R12_contig_1_3435

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09063: 5-amino-6-(5-phosphoribosylamino)uracil reductase (EC 1.1.1.193)

+

complex_subunit_optional_ftr09063: 0

+

complex_subunit_triggering_ftr09063: 1

+

complex_subunit_features_ftr09063: FW510-R12_contig_1_1079

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01015: Formate-dependent phosphoribosylglycinamide formyltransferase

+

complex_subunit_optional_tftr01015: 0

+

complex_subunit_triggering_tftr01015: 1

+

complex_subunit_features_tftr01015: FW510-R12_contig_1_2756

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03962: Beta-ketoadipate enol-lactone hydrolase (EC 3.1.1.24)

+

complex_subunit_optional_ftr03962: 0

+

complex_subunit_triggering_ftr03962: 1

+

complex_subunit_features_ftr03962: FW510-R12_contig_1_2094;FW510-R12_contig_1_2096;FW510-R12_contig_1_3459

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01841: Glucose-6-phosphate 1-dehydrogenase (EC 1.1.1.49)

+

complex_subunit_optional_ftr01841: 0

+

complex_subunit_triggering_ftr01841: 1

+

complex_subunit_features_ftr01841: FW510-R12_contig_1_138;FW510-R12_contig_1_3552;FW510-R12_contig_1_3553

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr03315: 2-amino-3-ketobutyrate coenzyme A ligase (EC 2.3.1.29)

+

complex_subunit_optional_ftr03315: 0

+

complex_subunit_triggering_ftr03315: 1

+

complex_subunit_features_ftr03315: FW510-R12_contig_1_1871

+ + + + + + +

complex_source: PlantSEED

+

complex_subunit_note_ftr50132: 4-hydroxy-tetrahydrodipicolinate reductase (EC 1.17.1.8)

+

complex_subunit_optional_ftr50132: 0

+

complex_subunit_triggering_ftr50132: 1

+

complex_subunit_features_ftr50132: FW510-R12_contig_1_2241;FW510-R12_contig_1_840

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr06654: Phosphoserine aminotransferase (EC 2.6.1.52)

+

complex_subunit_optional_ftr06654: 0

+

complex_subunit_triggering_ftr06654: 1

+

complex_subunit_features_ftr06654: FW510-R12_contig_1_1922

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01694: Folylpolyglutamate synthase (EC 6.3.2.17)

+

complex_subunit_optional_ftr01694: 0

+

complex_subunit_triggering_ftr01694: 1

+

complex_subunit_features_ftr01694: FW510-R12_contig_1_1715

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04012: Thioredoxin reductase (EC 1.8.1.9)

+

complex_subunit_optional_ftr04012: 0

+

complex_subunit_triggering_ftr04012: 1

+

complex_subunit_features_ftr04012: FW510-R12_contig_1_2313;FW510-R12_contig_1_2806

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00654: succinyl-diaminopimelate desuccinylase

+

complex_subunit_optional_tftr00654: 0

+

complex_subunit_triggering_tftr00654: 1

+

complex_subunit_features_tftr00654: FW510-R12_contig_1_1401

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04720: N-succinyl-L,L-diaminopimelate desuccinylase (EC 3.5.1.18)

+

complex_subunit_optional_ftr04720: 0

+

complex_subunit_triggering_ftr04720: 1

+

complex_subunit_features_ftr04720: FW510-R12_contig_1_2815

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01700: Thymidylate synthase (EC 2.1.1.45)

+

complex_subunit_optional_ftr01700: 0

+

complex_subunit_triggering_ftr01700: 1

+

complex_subunit_features_ftr01700: FW510-R12_contig_1_1178

+ + + + + + +

complex_source: SEED

+

complex_subunit_note_ftr: 2-polyprenyl-6-hydroxyphenyl methylase (ec 2.1.1.222)

+

complex_subunit_optional_ftr: 0

+

complex_subunit_triggering_ftr: 1

+

complex_subunit_features_ftr: FW510-R12_contig_1_1482;FW510-R12_contig_1_642

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01790: Malate synthase (EC 2.3.3.9)

+

complex_subunit_optional_ftr01790: 0

+

complex_subunit_triggering_ftr01790: 1

+

complex_subunit_features_ftr01790: FW510-R12_contig_1_679

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01592: Lactoylglutathione lyase (EC 4.4.1.5)

+

complex_subunit_optional_ftr01592: 0

+

complex_subunit_triggering_ftr01592: 1

+

complex_subunit_features_ftr01592: FW510-R12_contig_1_367

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00142: Pimeloyl-[acyl-carrier protein] methyl ester esterase BioH (EC 3.1.1.85)

+

complex_subunit_optional_tftr00142: 0

+

complex_subunit_triggering_tftr00142: 1

+

complex_subunit_features_tftr00142: FW510-R12_contig_1_608

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05766: Ferredoxin--NADP(+) reductase (EC 1.18.1.2)

+

complex_subunit_optional_ftr05766: 0

+

complex_subunit_triggering_ftr05766: 1

+

complex_subunit_features_ftr05766: FW510-R12_contig_1_3426

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00871: Cyclic pyranopterin monophosphate synthase (EC 4.6.1.17)

+

complex_subunit_optional_tftr00871: 0

+

complex_subunit_triggering_tftr00871: 1

+

complex_subunit_features_tftr00871: FW510-R12_contig_1_2878

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00212: Thiazole synthase (EC 2.8.1.10)

+

complex_subunit_optional_tftr00212: 0

+

complex_subunit_triggering_tftr00212: 1

+

complex_subunit_features_tftr00212: FW510-R12_contig_1_764

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr30690: trans-2-decenoyl-[acyl-carrier protein] isomerase (EC 5.3.3.14)

+

complex_subunit_optional_ftr30690: 0

+

complex_subunit_triggering_ftr30690: 1

+

complex_subunit_features_ftr30690: FW510-R12_contig_1_2888

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr30985: sulfur carrier protein ThiS adenylyltransferase (EC 2.7.7.73)

+

complex_subunit_optional_ftr30985: 0

+

complex_subunit_triggering_ftr30985: 1

+

complex_subunit_features_ftr30985: FW510-R12_contig_1_766

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr00875: Acetolactate synthase large subunit (EC 2.2.1.6)

+

complex_subunit_optional_ftr00875: 0

+

complex_subunit_triggering_ftr00875: 1

+

complex_subunit_features_ftr00875: FW510-R12_contig_1_620

+

complex_subunit_note_ftr00876: Acetolactate synthase small subunit (EC 2.2.1.6)

+

complex_subunit_optional_ftr00876: 0

+

complex_subunit_triggering_ftr00876: 1

+

complex_subunit_features_ftr00876: FW510-R12_contig_1_619

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01379: Pyruvate dehydrogenase E1 component (EC 1.2.4.1)

+

complex_subunit_optional_ftr01379: 0

+

complex_subunit_triggering_ftr01379: 1

+

complex_subunit_features_ftr01379: FW510-R12_contig_1_816

+

complex_subunit_note_ftr01383: Dihydrolipoamide dehydrogenase of pyruvate dehydrogenase complex (EC 1.8.1.4)

+

complex_subunit_optional_ftr01383: 0

+

complex_subunit_triggering_ftr01383: 1

+

complex_subunit_features_ftr01383: FW510-R12_contig_1_839

+

complex_subunit_note_ftr01382: Dihydrolipoamide acetyltransferase component of pyruvate dehydrogenase complex (EC 2.3.1.12)

+

complex_subunit_optional_ftr01382: 0

+

complex_subunit_triggering_ftr01382: 1

+

complex_subunit_features_ftr01382: FW510-R12_contig_1_838

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00156: 1,2-epoxyphenylacetyl-CoA isomerase (EC 5.3.3.18)

+

complex_subunit_optional_tftr00156: 0

+

complex_subunit_triggering_tftr00156: 1

+

complex_subunit_features_tftr00156: FW510-R12_contig_1_2099

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00227: Methylthioadenosine deaminase (EC 3.5.4.31)

+

complex_subunit_optional_tftr00227: 0

+

complex_subunit_triggering_tftr00227: 1

+

complex_subunit_features_tftr00227: FW510-R12_contig_1_1480

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05979: S-adenosylhomocysteine deaminase (EC 3.5.4.28)

+

complex_subunit_optional_ftr05979: 0

+

complex_subunit_triggering_ftr05979: 1

+

complex_subunit_features_ftr05979: FW510-R12_contig_1_1480

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05765: Heme A synthase, cytochrome oxidase biogenesis protein Cox15-CtaA

+

complex_subunit_optional_ftr05765: 0

+

complex_subunit_triggering_ftr05765: 1

+

complex_subunit_features_ftr05765: FW510-R12_contig_1_264

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr12131: Phenol hydroxylase, P1 oxygenase component DmpL (EC 1.14.13.7)

+

complex_subunit_optional_ftr12131: 0

+

complex_subunit_triggering_ftr12131: 1

+

complex_subunit_features_ftr12131: FW510-R12_contig_1_1997

+

complex_subunit_note_ftr12132: Phenol hydroxylase, P2 regulatory component DmpM (EC 1.14.13.7)

+

complex_subunit_optional_ftr12132: 0

+

complex_subunit_triggering_ftr12132: 1

+

complex_subunit_features_ftr12132: FW510-R12_contig_1_1998

+

complex_subunit_note_ftr12130: Phenol hydroxylase, FAD- and [2Fe-2S]-containing reductase component DmpP

+

complex_subunit_optional_ftr12130: 0

+

complex_subunit_triggering_ftr12130: 1

+

complex_subunit_features_ftr12130: FW510-R12_contig_1_2001;FW510-R12_contig_1_2018

+

complex_subunit_note_ftr13675: Phenol hydroxylase, P3 oxygenase component DmpN (EC 1.14.13.7)

+

complex_subunit_optional_ftr13675: 0

+

complex_subunit_triggering_ftr13675: 1

+

complex_subunit_features_ftr13675: FW510-R12_contig_1_1999

+

complex_subunit_note_ftr13676: Phenol hydroxylase, P4 oxygenase component DmpO (EC 1.14.13.7)

+

complex_subunit_optional_ftr13676: 0

+

complex_subunit_triggering_ftr13676: 1

+

complex_subunit_features_ftr13676: FW510-R12_contig_1_2000

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02166: Cytochrome d ubiquinol oxidase subunit II (EC 1.10.3.-)

+

complex_subunit_optional_ftr02166: 0

+

complex_subunit_triggering_ftr02166: 1

+

complex_subunit_features_ftr02166: FW510-R12_contig_1_3317

+

complex_subunit_note_ftr02165: Cytochrome d ubiquinol oxidase subunit I (EC 1.10.3.-)

+

complex_subunit_optional_ftr02165: 0

+

complex_subunit_triggering_ftr02165: 1

+

complex_subunit_features_ftr02165: FW510-R12_contig_1_3316

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00411: Cytochrome c oxidase (cbb3-type) subunit CcoN (EC 1.9.3.1)

+

complex_subunit_optional_tftr00411: 0

+

complex_subunit_triggering_tftr00411: 1

+

complex_subunit_features_tftr00411: FW510-R12_contig_1_2318

+

complex_subunit_note_tftr00664: Cytochrome c oxidase (cbb3-type) subunit CcoQ (EC 1.9.3.1)

+

complex_subunit_optional_tftr00664: 0

+

complex_subunit_triggering_tftr00664: 1

+

complex_subunit_features_tftr00664: FW510-R12_contig_1_2320

+

complex_subunit_note_ftr01180: Type cbb3 cytochrome oxidase biogenesis protein CcoI

+

complex_subunit_optional_ftr01180: 0

+

complex_subunit_triggering_ftr01180: 1

+

complex_subunit_features_ftr01180: FW510-R12_contig_1_2323

+

complex_subunit_note_tftr00031: Cytochrome c oxidase (cbb3-type) subunit CcoO (EC 1.9.3.1)

+

complex_subunit_optional_tftr00031: 0

+

complex_subunit_triggering_tftr00031: 1

+

complex_subunit_features_tftr00031: FW510-R12_contig_1_2319

+

complex_subunit_note_ftr01181: Type cbb3 cytochrome oxidase biogenesis protein CcoS, involved in heme b insertion

+

complex_subunit_optional_ftr01181: 0

+

complex_subunit_triggering_ftr01181: 1

+

complex_subunit_features_ftr01181: FW510-R12_contig_1_2324

+

complex_subunit_note_tftr00343: Cytochrome c oxidase (cbb3-type) subunit CcoP (EC 1.9.3.1)

+

complex_subunit_optional_tftr00343: 0

+

complex_subunit_triggering_tftr00343: 1

+

complex_subunit_features_tftr00343: FW510-R12_contig_1_2321

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00529: Ferrous iron transporter FeoB

+

complex_subunit_optional_tftr00529: 0

+

complex_subunit_triggering_tftr00529: 1

+

complex_subunit_features_tftr00529: FW510-R12_contig_1_1524

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02237: NAD(P) transhydrogenase subunit beta (EC 1.6.1.2)

+

complex_subunit_optional_ftr02237: 0

+

complex_subunit_triggering_ftr02237: 1

+

complex_subunit_features_ftr02237: FW510-R12_contig_1_1219

+

complex_subunit_note_tftr00110: NAD(P) transhydrogenase C-domain of subunit alpha (EC 1.6.1.2)

+

complex_subunit_optional_tftr00110: 0

+

complex_subunit_triggering_tftr00110: 1

+

complex_subunit_features_tftr00110: FW510-R12_contig_1_1218

+

complex_subunit_note_tftr00308: NAD(P) transhydrogenase N-domain of subunit alpha (EC 1.6.1.2)

+

complex_subunit_optional_tftr00308: 0

+

complex_subunit_triggering_tftr00308: 1

+

complex_subunit_features_tftr00308: FW510-R12_contig_1_1214

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02381: Outer membrane vitamin B12 receptor BtuB

+

complex_subunit_optional_ftr02381: 0

+

complex_subunit_triggering_ftr02381: 1

+

complex_subunit_features_ftr02381: FW510-R12_contig_1_142

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00997: ATP synthase F0 sector subunit a (EC 3.6.3.14)

+

complex_subunit_optional_tftr00997: 0

+

complex_subunit_triggering_tftr00997: 1

+

complex_subunit_features_tftr00997: FW510-R12_contig_1_431

+

complex_subunit_note_ftr02359: ATP synthase beta chain (EC 3.6.3.14)

+

complex_subunit_optional_ftr02359: 0

+

complex_subunit_triggering_ftr02359: 1

+

complex_subunit_features_ftr02359: FW510-R12_contig_1_437

+

complex_subunit_note_tftr00035: ATP synthase F0 sector subunit c (EC 3.6.3.14)

+

complex_subunit_optional_tftr00035: 0

+

complex_subunit_triggering_tftr00035: 1

+

complex_subunit_features_tftr00035: FW510-R12_contig_1_432

+

complex_subunit_note_ftr02362: ATP synthase delta chain (EC 3.6.3.14)

+

complex_subunit_optional_ftr02362: 0

+

complex_subunit_triggering_ftr02362: 1

+

complex_subunit_features_ftr02362: FW510-R12_contig_1_434

+

complex_subunit_note_ftr02361: ATP synthase alpha chain (EC 3.6.3.14)

+

complex_subunit_optional_ftr02361: 0

+

complex_subunit_triggering_ftr02361: 1

+

complex_subunit_features_ftr02361: FW510-R12_contig_1_435

+

complex_subunit_note_tftr00537: ATP synthase F0 sector subunit b' (EC 3.6.3.14)

+

complex_subunit_optional_tftr00537: 0

+

complex_subunit_triggering_tftr00537: 1

+

complex_subunit_features_tftr00537: FW510-R12_contig_1_433

+

complex_subunit_note_ftr02358: ATP synthase epsilon chain (EC 3.6.3.14)

+

complex_subunit_optional_ftr02358: 0

+

complex_subunit_triggering_ftr02358: 1

+

complex_subunit_features_ftr02358: FW510-R12_contig_1_438

+

complex_subunit_note_ftr02360: ATP synthase gamma chain (EC 3.6.3.14)

+

complex_subunit_optional_ftr02360: 0

+

complex_subunit_triggering_ftr02360: 1

+

complex_subunit_features_ftr02360: FW510-R12_contig_1_436

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02165: Cytochrome d ubiquinol oxidase subunit I (EC 1.10.3.-)

+

complex_subunit_optional_ftr02165: 0

+

complex_subunit_triggering_ftr02165: 1

+

complex_subunit_features_ftr02165: FW510-R12_contig_1_3316

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02213: Respiratory nitrate reductase beta chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02213: 0

+

complex_subunit_triggering_ftr02213: 1

+

complex_subunit_features_ftr02213: FW510-R12_contig_1_2871

+

complex_subunit_note_ftr02215: Respiratory nitrate reductase gamma chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02215: 0

+

complex_subunit_triggering_ftr02215: 1

+

complex_subunit_features_ftr02215: FW510-R12_contig_1_2869

+

complex_subunit_note_ftr02214: Respiratory nitrate reductase delta chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02214: 0

+

complex_subunit_triggering_ftr02214: 1

+

complex_subunit_features_ftr02214: FW510-R12_contig_1_2870

+

complex_subunit_note_ftr02212: Respiratory nitrate reductase alpha chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02212: 0

+

complex_subunit_triggering_ftr02212: 1

+

complex_subunit_features_ftr02212: FW510-R12_contig_1_2872

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02568: Ubiquinol-cytochrome C reductase iron-sulfur subunit (EC 1.10.2.2)

+

complex_subunit_optional_ftr02568: 0

+

complex_subunit_triggering_ftr02568: 1

+

complex_subunit_features_ftr02568: FW510-R12_contig_1_2914

+

complex_subunit_note_ftr02567: Ubiquinol--cytochrome c reductase, cytochrome B subunit (EC 1.10.2.2)

+

complex_subunit_optional_ftr02567: 0

+

complex_subunit_triggering_ftr02567: 1

+

complex_subunit_features_ftr02567: FW510-R12_contig_1_2913

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02213: Respiratory nitrate reductase beta chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02213: 0

+

complex_subunit_triggering_ftr02213: 1

+

complex_subunit_features_ftr02213: FW510-R12_contig_1_2871

+

complex_subunit_note_ftr02215: Respiratory nitrate reductase gamma chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02215: 0

+

complex_subunit_triggering_ftr02215: 1

+

complex_subunit_features_ftr02215: FW510-R12_contig_1_2869

+

complex_subunit_note_ftr02214: Respiratory nitrate reductase delta chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02214: 0

+

complex_subunit_triggering_ftr02214: 1

+

complex_subunit_features_ftr02214: FW510-R12_contig_1_2870

+

complex_subunit_note_ftr02212: Respiratory nitrate reductase alpha chain (EC 1.7.99.4)

+

complex_subunit_optional_ftr02212: 0

+

complex_subunit_triggering_ftr02212: 1

+

complex_subunit_features_ftr02212: FW510-R12_contig_1_2872

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr02409: Cytochrome c oxidase polypeptide III (EC 1.9.3.1)

+

complex_subunit_optional_ftr02409: 0

+

complex_subunit_triggering_ftr02409: 1

+

complex_subunit_features_ftr02409: FW510-R12_contig_1_260

+

complex_subunit_note_ftr07519: Cytochrome c oxidase polypeptide II (EC 1.9.3.1)

+

complex_subunit_optional_ftr07519: 0

+

complex_subunit_triggering_ftr07519: 1

+

complex_subunit_features_ftr07519: FW510-R12_contig_1_257;FW510-R12_contig_1_2848

+

complex_subunit_note_ftr02408: Cytochrome c oxidase polypeptide I (EC 1.9.3.1)

+

complex_subunit_optional_ftr02408: 0

+

complex_subunit_triggering_ftr02408: 1

+

complex_subunit_features_ftr02408: FW510-R12_contig_1_258

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01047: Molybdopterin synthase catalytic subunit MoaE (EC 2.8.1.12)

+

complex_subunit_optional_tftr01047: 0

+

complex_subunit_triggering_tftr01047: 1

+

complex_subunit_features_tftr01047: FW510-R12_contig_1_2875

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01143: Molybdopterin-synthase adenylyltransferase (EC 2.7.7.80)

+

complex_subunit_optional_tftr01143: 0

+

complex_subunit_triggering_tftr01143: 1

+

complex_subunit_features_tftr01143: FW510-R12_contig_1_2881

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00091: Molybdopterin molybdenumtransferase (EC 2.10.1.1)

+

complex_subunit_optional_tftr00091: 0

+

complex_subunit_triggering_tftr00091: 1

+

complex_subunit_features_tftr00091: FW510-R12_contig_1_2877

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00651: Undecaprenyl phosphate-alpha-4-amino-4-deoxy-L-arabinose arabinosyl transferase (EC 2.4.2.43)

+

complex_subunit_optional_tftr00651: 0

+

complex_subunit_triggering_tftr00651: 1

+

complex_subunit_features_tftr00651: FW510-R12_contig_2_104

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00191: Molybdenum cofactor guanylyltransferase (EC 2.7.7.77)

+

complex_subunit_optional_tftr00191: 0

+

complex_subunit_triggering_tftr00191: 1

+

complex_subunit_features_tftr00191: FW510-R12_contig_1_2874

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr32906: 3-deoxy-D-manno-octulosonic acid kinase (EC 2.7.1.166)

+

complex_subunit_optional_ftr32906: 0

+

complex_subunit_triggering_ftr32906: 1

+

complex_subunit_features_ftr32906: FW510-R12_contig_1_1736

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00717: Malonyl-[acyl-carrier protein] O-methyltransferase (EC 2.1.1.197)

+

complex_subunit_optional_tftr00717: 0

+

complex_subunit_triggering_tftr00717: 1

+

complex_subunit_features_tftr00717: FW510-R12_contig_1_607

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr30983: molybdopterin adenylyltransferase (EC 2.7.7.75)

+

complex_subunit_optional_ftr30983: 0

+

complex_subunit_triggering_ftr30983: 1

+

complex_subunit_features_ftr30983: FW510-R12_contig_1_2878

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00632: NADPH-dependent 7-cyano-7-deazaguanine reductase (EC 1.7.1.13)

+

complex_subunit_optional_tftr00632: 0

+

complex_subunit_triggering_tftr00632: 1

+

complex_subunit_features_tftr00632: FW510-R12_contig_1_669

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00240: 2-polyprenyl-6-methoxyphenol hydroxylase

+

complex_subunit_optional_tftr00240: 0

+

complex_subunit_triggering_tftr00240: 1

+

complex_subunit_features_tftr00240: FW510-R12_contig_1_3180

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00012: Proline dehydrogenase (EC 1.5.5.2)

+

complex_subunit_optional_tftr00012: 0

+

complex_subunit_triggering_tftr00012: 1

+

complex_subunit_features_tftr00012: FW510-R12_contig_1_255

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00806: (E)-4-hydroxy-3-methylbut-2-enyl-diphosphate synthase (flavodoxin) (EC 1.17.7.3)

+

complex_subunit_optional_tftr00806: 0

+

complex_subunit_triggering_tftr00806: 1

+

complex_subunit_features_tftr00806: FW510-R12_contig_1_2317

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00572: UDP-N-acetyl-L-fucosamine synthase (EC 5.1.3.28)

+

complex_subunit_optional_tftr00572: 0

+

complex_subunit_triggering_tftr00572: 1

+

complex_subunit_features_tftr00572: FW510-R12_contig_1_886

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01035: Ribosyl nicotinamide transporter, PnuC-like

+

complex_subunit_optional_ftr01035: 0

+

complex_subunit_triggering_ftr01035: 1

+

complex_subunit_features_ftr01035: FW510-R12_contig_1_2694

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09266: Chloride channel protein

+

complex_subunit_optional_ftr09266: 0

+

complex_subunit_triggering_ftr09266: 1

+

complex_subunit_features_ftr09266: FW510-R12_contig_1_3326

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr09443: Lysine/cadaverine antiporter membrane protein CadB

+

complex_subunit_optional_ftr09443: 0

+

complex_subunit_triggering_ftr09443: 1

+

complex_subunit_features_ftr09443: FW510-R12_contig_1_1095

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00972: Octanoate-[acyl-carrier-protein]-protein-N-octanoyltransferase (EC 2.3.1.181)

+

complex_subunit_optional_tftr00972: 0

+

complex_subunit_triggering_tftr00972: 1

+

complex_subunit_features_tftr00972: FW510-R12_contig_1_3500

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr04210: Beta-galactosidase (EC 3.2.1.23)

+

complex_subunit_optional_ftr04210: 0

+

complex_subunit_triggering_ftr04210: 1

+

complex_subunit_features_ftr04210: FW510-R12_contig_1_981

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr33496: 7-cyano-7-deazaguanine synthase (EC 6.3.4.20)

+

complex_subunit_optional_ftr33496: 0

+

complex_subunit_triggering_ftr33496: 1

+

complex_subunit_features_ftr33496: FW510-R12_contig_1_1036

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00661: 7-carboxy-7-deazaguanine synthase (EC 4.3.99.3)

+

complex_subunit_optional_tftr00661: 0

+

complex_subunit_triggering_tftr00661: 1

+

complex_subunit_features_tftr00661: FW510-R12_contig_1_1035

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00546: 6-carboxy-5,6,7,8-tetrahydropterin synthase (EC 4.1.2.50)

+

complex_subunit_optional_tftr00546: 0

+

complex_subunit_triggering_tftr00546: 1

+

complex_subunit_features_tftr00546: FW510-R12_contig_1_428

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00426: Threonine/homoserine exporter RhtA

+

complex_subunit_optional_tftr00426: 0

+

complex_subunit_triggering_tftr00426: 1

+

complex_subunit_features_tftr00426: FW510-R12_contig_1_2334

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00973: Enoyl-[acyl-carrier-protein] reductase [NADH] (EC 1.3.1.9), FabV => refractory to triclosan

+

complex_subunit_optional_tftr00973: 0

+

complex_subunit_triggering_tftr00973: 1

+

complex_subunit_features_tftr00973: FW510-R12_contig_1_2344

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr50051: 4-hydroxy-tetrahydrodipicolinate synthase (EC 4.3.3.7)

+

complex_subunit_optional_ftr50051: 0

+

complex_subunit_triggering_ftr50051: 1

+

complex_subunit_features_ftr50051: FW510-R12_contig_1_2657

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00973: Enoyl-[acyl-carrier-protein] reductase [NADH] (EC 1.3.1.9), FabV => refractory to triclosan

+

complex_subunit_optional_tftr00973: 0

+

complex_subunit_triggering_tftr00973: 1

+

complex_subunit_features_tftr00973: FW510-R12_contig_1_2344

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00073: Phosphomethylpyrimidine synthase ThiC (EC 4.1.99.17)

+

complex_subunit_optional_tftr00073: 0

+

complex_subunit_triggering_tftr00073: 1

+

complex_subunit_features_tftr00073: FW510-R12_contig_1_761

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01620: Biotin synthase (EC 2.8.1.6)

+

complex_subunit_optional_ftr01620: 0

+

complex_subunit_triggering_ftr01620: 1

+

complex_subunit_features_ftr01620: FW510-R12_contig_1_611

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr13693: 3-oxoacyl-[ACP] synthase (EC 2.3.1.41) FabV like

+

complex_subunit_optional_ftr13693: 0

+

complex_subunit_triggering_ftr13693: 1

+

complex_subunit_features_ftr13693: FW510-R12_contig_1_452

+

complex_subunit_note_ftr03525: 3-oxoacyl-[acyl-carrier-protein] synthase, KASI (EC 2.3.1.41)

+

complex_subunit_optional_ftr03525: 0

+

complex_subunit_triggering_ftr03525: 1

+

complex_subunit_features_ftr03525: FW510-R12_contig_1_2887

+

complex_subunit_note_ftr13692: 3-oxoacyl-[ACP] synthase

+

complex_subunit_optional_ftr13692: 0

+

complex_subunit_triggering_ftr13692: 1

+

complex_subunit_features_ftr13692: FW510-R12_contig_1_451

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01135: Heme O synthase, protoheme IX farnesyltransferase, COX10-CtaB

+

complex_subunit_optional_tftr01135: 0

+

complex_subunit_triggering_tftr01135: 1

+

complex_subunit_features_tftr01135: FW510-R12_contig_1_265

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr01843: 2-dehydro-3-deoxyphosphogluconate aldolase (EC 4.1.2.14)

+

complex_subunit_optional_ftr01843: 0

+

complex_subunit_triggering_ftr01843: 1

+

complex_subunit_features_ftr01843: FW510-R12_contig_1_135

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01039: Sulfide:quinone oxidoreductase, Type I

+

complex_subunit_optional_tftr01039: 0

+

complex_subunit_triggering_tftr01039: 1

+

complex_subunit_features_tftr01039: FW510-R12_contig_1_157

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr01172: Flavodoxin--NADP(+) reductase (EC 1.19.1.1)

+

complex_subunit_optional_tftr01172: 0

+

complex_subunit_triggering_tftr01172: 1

+

complex_subunit_features_tftr01172: FW510-R12_contig_1_3426

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_tftr00081: Cysteine desulfurase (EC 2.8.1.7) => SufS

+

complex_subunit_optional_tftr00081: 0

+

complex_subunit_triggering_tftr00081: 1

+

complex_subunit_features_tftr00081: FW510-R12_contig_1_1365

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05738: Copper-containing nitrite reductase (EC 1.7.2.1)

+

complex_subunit_optional_ftr05738: 0

+

complex_subunit_triggering_ftr05738: 1

+

complex_subunit_features_ftr05738: FW510-R12_contig_1_2895;FW510-R12_contig_1_3383

+ + + + + + +

complex_source: ModelSEED

+

complex_subunit_note_ftr05743: Nitrous-oxide reductase (EC 1.7.99.6)

+

complex_subunit_optional_ftr05743: 0

+

complex_subunit_triggering_ftr05743: 1

+

complex_subunit_features_ftr05743: FW510-R12_contig_1_2809

+ + + + + + +

complex_source:

+

complex_subunit_note_ftz00001: Azurin

+

complex_subunit_optional_ftz00001: 0

+

complex_subunit_triggering_ftz00001: 1

+

complex_subunit_features_ftz00001: FW510-R12_contig_1_3377

+ + + + + + diff --git a/Metabolic_modeling/exchanges.ipynb b/Metabolic_modeling/exchanges.ipynb new file mode 100644 index 0000000..cd8c5bc --- /dev/null +++ b/Metabolic_modeling/exchanges.ipynb @@ -0,0 +1,2548 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "753bdc10-9b91-49b8-b90e-df6df4e22ca2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "modelseedpy 0.4.0\n" + ] + } + ], + "source": [ + "import cobra\n", + "import pandas as pd\n", + "import modelseedpy\n", + "%run analysis.py" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "8596e278-6b51-415f-8011-cc7778f5be34", + "metadata": {}, + "outputs": [], + "source": [ + "model_rhoda = cobra.io.load_json_model('./data/model_rhoda_gf2.json')\n", + "model_acido = cobra.io.load_json_model('./data/model_acido_gf2.json')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "baa9ae00-cd69-43f7-a2a5-34c1faafd7e7", + "metadata": {}, + "outputs": [], + "source": [ + "model_acido.reactions.rxn10126_c0.upper_bound = 0\n", + "model_rhoda.reactions.rxn10126_c0.upper_bound = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "2fd762f9-0a33-42b1-a5ac-711a848ce0a7", + "metadata": {}, + "outputs": [], + "source": [ + "model_rhoda.reactions.rxn10577_c0.upper_bound = 0\n", + "model_rhoda.reactions.rxn11937_c0.lower_bound = 0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2154c837-3e3a-46ee-bee0-d60ec62a07c9", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "2b2877c3-ab71-4ab2-866d-081762bebaa5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Metabolite identifiercpd00528_e0
NameN2 [e0]
Memory address0x118e98f70
FormulaN2
Compartmente0
In 4 reaction(s)\n", + " rxn11937_c0, EX_cpd00528_e0, dnr00004_c0, rxn10577_c0\n", + "
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_rhoda.metabolites.cpd00528_e0" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "eacbbedb-6442-45d7-87bf-25de66cfbb00", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Namemodel
Memory address11a701210
Number of metabolites2401
Number of reactions2596
Number of genes0
Number of groups0
Objective expression1.0*bio1 - 1.0*bio1_reverse_b18f7
CompartmentscA, e0, cR
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%run ms_ext_symcom.py\n", + "cf = CommFactory().with_model(model_acido, 0.7, 'A').with_model(model_rhoda, 0.3, 'R')\n", + "model_comm = _build(cf)\n", + "if 'bio1' not in model_comm.reactions:\n", + " r_bio_sum = Reaction(\"bio1\", \"bio_com\", \"\", 0, 1000)\n", + " r_bio_sum.add_metabolites(\n", + " {\n", + " model_comm.metabolites.cpd11416_cA: -0.4,\n", + " model_comm.metabolites.cpd11416_cR: -0.6,\n", + " }\n", + " )\n", + " model_comm.add_reactions([r_bio_sum])\n", + "model_comm.objective = 'bio1'\n", + "model_comm" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "82872c1b-626e-45c4-9fa9-27700ccdb50a", + "metadata": {}, + "outputs": [], + "source": [ + "GSP_MEDIUM = {\n", + " 'EX_cpd00001_e0': 1000.0,\n", + " 'EX_cpd00013_e0': 1000.0,\n", + "\n", + " 'EX_cpd00209_e0': 12.0,\n", + " 'EX_cpd00029_e0': 20.0, # acetate\n", + " \n", + " 'EX_cpd00218_e0': 100.0,\n", + " 'EX_cpd00220_e0': 100.0,\n", + " 'EX_cpd00644_e0': 0.0002281,\n", + " 'EX_cpd00305_e0': 100.0,\n", + " 'EX_cpd00393_e0': 100.0,\n", + " 'EX_cpd03424_e0': 100.0,\n", + " 'EX_cpd00443_e0': 100.0,\n", + " 'EX_cpd00263_e0': 100.0,\n", + " 'EX_cpd00048_e0': 100.0,\n", + " 'EX_cpd00009_e0': 100.0,\n", + " 'EX_cpd00242_e0': 29.759425,\n", + " 'EX_cpd00205_e0': 1.3415688,\n", + " 'EX_cpd00063_e0': 100.0,\n", + " 'EX_cpd00971_e0': 34.9324073,\n", + " 'EX_cpd00099_e0': 100.0,\n", + " 'EX_cpd00254_e0': 100.0,\n", + " 'EX_cpd00030_e0': 100.0,\n", + " 'EX_cpd00058_e0': 100.0,\n", + " 'EX_cpd00034_e0': 100.0,\n", + " 'EX_cpd10515_e0': 100.0,\n", + " 'EX_cpd00149_e0': 100.0,\n", + " 'EX_cpd00244_e0': 100.0,\n", + " 'EX_cpd11574_e0': 100.0,\n", + " 'EX_cpd15574_e0': 100.0,\n", + " 'EX_cpd00067_e0': 100.0,\n", + " }\n", + "model_comm.medium = {rxn_id: v for rxn_id, v in GSP_MEDIUM.items() if rxn_id in model_comm.reactions}" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "7cd46d57-a055-4484-8ce7-9d5e2eb10945", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

Objective

1.0 bio1 = 0.2601030816317411

Uptake

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MetaboliteReactionFluxC-NumberC-Flux
cpd00009_e0EX_cpd00009_e00.171900.00%
cpd00013_e0EX_cpd00013_e02.08100.00%
cpd00029_e0EX_cpd00029_e012.57299.98%
cpd00030_e0EX_cpd00030_e00.000416200.00%
cpd00034_e0EX_cpd00034_e00.000416200.00%
cpd00048_e0EX_cpd00048_e00.0534500.00%
cpd00058_e0EX_cpd00058_e00.000416200.00%
cpd00063_e0EX_cpd00063_e00.000416200.00%
cpd00067_e0EX_cpd00067_e022.8600.00%
cpd00099_e0EX_cpd00099_e00.000416200.00%
cpd00149_e0EX_cpd00149_e00.000416200.00%
cpd00205_e0EX_cpd00205_e00.000416200.00%
cpd00209_e0EX_cpd00209_e01200.00%
cpd00254_e0EX_cpd00254_e00.000416200.00%
cpd00305_e0EX_cpd00305_e00.0004162120.02%
cpd10515_e0EX_cpd10515_e00.00166500.00%

Secretion

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MetaboliteReactionFluxC-NumberC-Flux
cpd00001_e0EX_cpd00001_e0-27.100.00%
cpd00011_e0EX_cpd00011_e0-15.91199.94%
cpd00528_e0EX_cpd00528_e0-600.00%
cpd01981_e0EX_cpd01981_e0-0.000166560.01%
cpd03091_cASK_cpd03091_cA-0.0003329100.02%
cpd03091_cRSK_cpd03091_cR-0.0004994100.03%
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#model_comm.reactions.LeuE_cA.upper_bound = -10\n", + "solution_comm_wt = cobra.flux_analysis.pfba(model_comm)\n", + "model_comm.summary(solution_comm_wt)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "624f00de-5468-4af6-b471-4eef0ea04ff3", + "metadata": {}, + "outputs": [], + "source": [ + "ignore = {\n", + " 'EX_cpd00067_e0', # H+ [e0]\n", + " 'EX_cpd00058_e0', # Cu2+ [e0]\n", + " 'EX_cpd00205_e0', # K+ [e0]\n", + " 'EX_cpd00254_e0', # Mg [e0]\n", + " 'EX_cpd00034_e0', # Zn2+ [e0]\n", + " 'EX_cpd00030_e0', # Mn2+ [e0]\n", + " 'EX_cpd00063_e0', # Ca2+ [e0]\n", + " 'EX_cpd00099_e0', # Cl- [e0]\n", + " 'EX_cpd10515_e0', # Fe2+ [e0]\n", + " 'EX_cpd00001_e0', # H2O [e0]\n", + " 'EX_cpd00009_e0', # Phosphate [e0]\n", + " 'EX_cpd00305_e0', # Thiamin [e0]\n", + " 'EX_cpd00048_e0', # Sulfate [e0]\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "98c129a2-7743-464f-80ec-9afce56daecd", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cpd00067_e0 H+ [e0]\n", + "\t rxn05317_cR H+ [e0] + Deoxyadenosine [e0] <=> H+ [R] + Deoxyadenosine [R]\n", + "\t rxn05659_cA H+ [e0] + Thymine [e0] <=> H+ [A] + Thymine [A]\n", + "\t dnr00004_cA 2 H+ [e0] + Nitrous oxide [e0] + 2 Reduced azurin [A] --> H2O [e0] + N2 [e0] + 2 Oxidized azurin [A]\n", + "\t rxn05312_cA Phosphate [e0] + H+ [e0] <-- Phosphate [A] + H+ [A]\n", + "\t rxn08323_cR H+ [e0] + Deoxyguanosine [e0] <=> H+ [R] + Deoxyguanosine [R]\n", + "\t rxn05514_cA Ca2+ [A] + H+ [e0] <-- Ca2+ [e0] + H+ [A]\n", + "\t rxn05500_cR H+ [e0] + L-Arabinose [e0] <=> H+ [R] + L-Arabinose [R]\n", + "\t rxn14415_cA 0.5 O2 [A] + 4 H+ [A] + 3 Cytochrome c2+ [A] --> H2O [A] + 2 H+ [e0] + 3 Cytochrome c3+ [A]\n", + "\t rxn05561_cA H+ [e0] + Fumarate [e0] <=> H+ [A] + Fumarate [A]\n", + "\t rxn05316_cR H+ [e0] + Inosine [e0] <=> H+ [R] + Inosine [R]\n", + "\t rxn10161_cR H+ [e0] + ocdca [e0] <=> H+ [R] + ocdca [R]\n", + "\t rxn08722_cR H+ [e0] + L-Homoserine [R] --> H+ [R] + L-Homoserine [e0]\n", + "\t rxn14427_cR 3 H+ [e0] + Cytochrome c2+ [R] + Nitrate [R] --> H2O [R] + Nitrite [R] + Cytochrome c3+ [R]\n", + "\t rxn05205_cR H+ [e0] + Deoxycytidine [e0] <=> H+ [R] + Deoxycytidine [R]\n", + "\t rxn05559_cA Formate [e0] + H+ [e0] <=> Formate [A] + H+ [A]\n", + "\t rxn05318_cR H+ [e0] + Adenosine [e0] <=> H+ [R] + Adenosine [R]\n", + "\t rxn08734_cR 2 H+ [R] + H2 [R] + Ubiquinone-8 [R] --> 2 H+ [e0] + Ubiquinol-8 [R]\n", + "\t rxn05199_cR H+ [e0] + Uridine [e0] <=> H+ [R] + Uridine [R]\n", + "\t rxn08275_cR Cu2+ [R] + H+ [e0] --> Cu2+ [e0] + H+ [R]\n", + "\t rxn10122_cA NADH [A] + 4.5 H+ [A] + Ubiquinone-8 [A] --> NAD [A] + 3.5 H+ [e0] + Ubiquinol-8 [A]\n", + "\t rxn05517_cR H+ [e0] + K+ [e0] + Cd2+ [R] <=> H+ [R] + K+ [R] + Cd2+ [e0]\n", + "\t rxn05305_cA L-Lysine [A] + H+ [e0] --> L-Lysine [e0] + H+ [A]\n", + "\t rxn05683_cR H+ [e0] + Butyrate [e0] <=> H+ [R] + Butyrate [R]\n", + "\t rxn14412_cR 2 Cytochrome c3+ [R] + Ubiquinol-8 [R] --> 2 H+ [e0] + 2 Cytochrome c2+ [R] + Ubiquinone-8 [R]\n", + "\t rxn09657_cA H+ [e0] + Thiamin [e0] <=> H+ [A] + Thiamin [A]\n", + "\t rxn05595_cA H+ [e0] + K+ [e0] <=> H+ [A] + K+ [A]\n", + "\t rxn10122_cR NADH [R] + 4.5 H+ [R] + Ubiquinone-8 [R] --> NAD [R] + 3.5 H+ [e0] + Ubiquinol-8 [R]\n", + "\t rxn05682_cA H+ [e0] + Allantoin [e0] <=> H+ [A] + Allantoin [A]\n", + "\t rxn05605_cA H+ [e0] + L-Malate [e0] <=> H+ [A] + L-Malate [A]\n", + "\t rxn09295_cA NADH [A] + NADP [A] + 2 H+ [e0] --> NAD [A] + NADPH [A] + 2 H+ [A]\n", + "\t rxn10162_cR H+ [e0] + Palmitate [e0] <=> H+ [R] + Palmitate [R]\n", + "\t rxn14419_cR 0.5 O2 [R] + 4 H+ [R] + Cytochrome-bd-red [R] --> H2O [R] + 2 H+ [e0] + Cytochrome-bd-ox [R]\n", + "\t rxn05611_cR H+ [e0] + D-Mannose [e0] <=> H+ [R] + D-Mannose [R]\n", + "\t rxn05561_cR H+ [e0] + Fumarate [e0] <=> H+ [R] + Fumarate [R]\n", + "\t dnr00002_cR 2 H+ [e0] + Nitrite [e0] + Reduced azurin [R] --> H2O [e0] + NO [e0] + Oxidized azurin [R]\n", + "\t rxn14418_cR Ubiquinol-8 [R] + Cytochrome-bd-ox [R] --> 2 H+ [e0] + Ubiquinone-8 [R] + Cytochrome-bd-red [R]\n", + "\t rxn05579_cR H+ [e0] + BET [e0] <=> H+ [R] + BET [R]\n", + "\t rxn05469_cA Pyruvate [e0] + H+ [e0] <=> Pyruvate [A] + H+ [A]\n", + "\t rxn05671_cR H+ [e0] + Xylose [e0] <=> H+ [R] + Xylose [R]\n", + "\t rxn05582_cR Glycine [e0] + H+ [e0] <=> Glycine [R] + H+ [R]\n", + "\t rxn05198_cR H+ [e0] + Cytidine [e0] <=> H+ [R] + Cytidine [R]\n", + "\t rxn11268_cR PPi [e0] + H+ [e0] <-- PPi [R] + H+ [R]\n", + "\t rxn05514_cR Ca2+ [R] + H+ [e0] <-- Ca2+ [e0] + H+ [R]\n", + "\t rxn05651_cA Sulfate [e0] + H+ [e0] <=> Sulfate [A] + H+ [A]\n", + "\t rxn14426_cR 0.5 O2 [R] + 4 H+ [R] + Cytochrome-cbb-red [R] --> H2O [R] + 2 H+ [e0] + Cytochrome-cbb-ox [R]\n", + "\t rxn05488_cR Acetate [e0] + H+ [e0] <=> Acetate [R] + H+ [R]\n", + "\t dnr00003_cR 2 H+ [e0] + 2 NO [e0] + 2 Reduced azurin [R] --> H2O [e0] + Nitrous oxide [e0] + 2 Oxidized azurin [R]\n", + "\t rxn05517_cA H+ [e0] + K+ [e0] + Cd2+ [A] <=> H+ [A] + K+ [A] + Cd2+ [e0]\n", + "\t rxn14425_cR Ubiquinol-8 [R] + Cytochrome-cbb-ox [R] --> 2 H+ [e0] + Ubiquinone-8 [R] + Cytochrome-cbb-red [R]\n", + "\t rxn05200_cR H+ [e0] + Thymidine [e0] <=> H+ [R] + Thymidine [R]\n", + "\t rxn05654_cR Succinate [e0] + H+ [e0] <=> Succinate [R] + H+ [R]\n", + "\t rxn11268_cA PPi [e0] + H+ [e0] <-- PPi [A] + H+ [A]\n", + "\t rxn10163_cR H+ [e0] + Myristic acid [e0] <=> H+ [R] + Myristic acid [R]\n", + "\t rxn08350_cA H+ [e0] + D-Lactate [e0] <=> H+ [A] + D-Lactate [A]\n", + "\t rxn05618_cA Mn2+ [e0] + H+ [e0] --> Mn2+ [A] + H+ [A]\n", + "\t rxn05730_cA H+ [e0] + Tetrathionate [e0] <=> H+ [A] + Tetrathionate [A]\n", + "\t rxn05527_cA H+ [e0] + Cytosine [e0] <=> H+ [A] + Cytosine [A]\n", + "\t rxn14420_cR Menaquinol 8 [R] + Cytochrome-bd-ox [R] --> 2 H+ [e0] + Menaquinone 8 [R] + Cytochrome-bd-red [R]\n", + "\t dnr00004_cR 2 H+ [e0] + Nitrous oxide [e0] + 2 Reduced azurin [R] --> H2O [e0] + N2 [e0] + 2 Oxidized azurin [R]\n", + "\t rxn14427_cA 3 H+ [e0] + Cytochrome c2+ [A] + Nitrate [A] --> H2O [A] + Nitrite [A] + Cytochrome c3+ [A]\n", + "\t rxn09304_cA H+ [e0] + L-Threonine [A] --> H+ [A] + L-Threonine [e0]\n", + "\t rxn08173_cA ADP [A] + Phosphate [A] + 4 H+ [e0] <=> H2O [A] + ATP [A] + 3 H+ [A]\n", + "\t rxn14422_cA 0.5 O2 [A] + 4 H+ [A] + Cytochrome-bo-red [A] --> H2O [A] + 2 H+ [e0] + Cytochrome-bo-ox [A]\n", + "\t rxn05638_cR H+ [e0] + L-Proline [e0] <=> H+ [R] + L-Proline [R]\n", + "\t rxn05625_cA H+ [e0] + Nitrite [e0] <=> H+ [A] + Nitrite [A]\n", + "\t rxn08233_cA H+ [A] + 2 Cl- [e0] --> H+ [e0] + 2 Cl- [A]\n", + "\t rxn05484_cR H+ [e0] + Acetoacetate [e0] <=> H+ [R] + Acetoacetate [R]\n", + "\t rxn05603_cR H+ [e0] + D-Malate [e0] <=> H+ [R] + D-Malate [R]\n", + "\t rxn09295_cR NADH [R] + NADP [R] + 2 H+ [e0] --> NAD [R] + NADPH [R] + 2 H+ [R]\n", + "\t rxn14415_cR 0.5 O2 [R] + 4 H+ [R] + 3 Cytochrome c2+ [R] --> H2O [R] + 2 H+ [e0] + 3 Cytochrome c3+ [R]\n", + "\t rxn08376_cR H+ [e0] + Deoxyuridine [e0] <=> H+ [R] + Deoxyuridine [R]\n", + "\t rxn08722_cA H+ [e0] + L-Homoserine [A] --> H+ [A] + L-Homoserine [e0]\n", + "\t rxn05649_cR H+ [e0] + D-Serine [e0] <=> H+ [R] + D-Serine [R]\n", + "\t rxn05654_cA Succinate [e0] + H+ [e0] <=> Succinate [A] + H+ [A]\n", + "\t rxn05559_cR Formate [e0] + H+ [e0] <=> Formate [R] + H+ [R]\n", + "\t rxn43657_cA Zn2+ [e0] + H+ [e0] <=> Zn2+ [A] + H+ [A]\n", + "\t LeuE_cA H+ [A] + L-Leucine [e0] <=> H+ [e0] + L-Leucine [A]\n", + "\t rxn09657_cR H+ [e0] + Thiamin [e0] --> H+ [R] + Thiamin [R]\n", + "\t rxn05573_cR D-Glucose [e0] + H+ [e0] --> D-Glucose [R] + H+ [R]\n", + "\t rxn14426_cA 0.5 O2 [A] + 4 H+ [A] + Cytochrome-cbb-red [A] --> H2O [A] + 2 H+ [e0] + Cytochrome-cbb-ox [A]\n", + "\t rxn05312_cR Phosphate [e0] + H+ [e0] <-- Phosphate [R] + H+ [R]\n", + "\t rxn05566_cR H+ [e0] + Galactose [e0] <=> H+ [R] + Galactose [R]\n", + "\t rxn05618_cR Mn2+ [e0] + H+ [e0] --> Mn2+ [R] + H+ [R]\n", + "\t rxn05595_cR H+ [e0] + K+ [e0] <=> H+ [R] + K+ [R]\n", + "\t rxn05491_cR H+ [e0] + Adenine [e0] <=> H+ [R] + Adenine [R]\n", + "\t rxn05469_cR Pyruvate [e0] + H+ [e0] <=> Pyruvate [R] + H+ [R]\n", + "\t rxn14412_cA 2 Cytochrome c3+ [A] + Ubiquinol-8 [A] --> 2 H+ [e0] + 2 Cytochrome c2+ [A] + Ubiquinone-8 [A]\n", + "\t rxn05209_cR H+ [R] + Na+ [e0] <=> H+ [e0] + Na+ [R]\n", + "\t rxn08187_cR L-Lysine [e0] + H+ [e0] + Cadaverine [R] <=> L-Lysine [R] + H+ [R] + Cadaverine [e0]\n", + "\t rxn05307_cR L-Serine [e0] + H+ [e0] <=> L-Serine [R] + H+ [R]\n", + "\t rxn05297_cR L-Glutamate [e0] + H+ [e0] <=> L-Glutamate [R] + H+ [R]\n", + "\t rxn05603_cA H+ [e0] + D-Malate [e0] <=> H+ [A] + D-Malate [A]\n", + "\t rxn05505_cA H+ [e0] + ARSENOBETAINE [e0] <=> H+ [A] + ARSENOBETAINE [A]\n", + "\t rxn08173_cR ADP [R] + Phosphate [R] + 4 H+ [e0] <=> H2O [R] + ATP [R] + 3 H+ [R]\n", + "\t dnr00001_cA 2 H+ [A] + Nitrate [A] + Ubiquinol-8 [A] --> H2O [A] + 2 H+ [e0] + Nitrite [A] + Ubiquinone-8 [A]\n", + "\t rxn05488_cA Acetate [e0] + H+ [e0] <=> Acetate [A] + H+ [A]\n", + "\t rxn05579_cA H+ [e0] + BET [e0] <=> H+ [A] + BET [A]\n", + "\t rxn05625_cR H+ [e0] + Nitrite [e0] <=> H+ [R] + Nitrite [R]\n", + "\t rxn05204_cR H+ [e0] + Guanosine [e0] <=> H+ [R] + Guanosine [R]\n", + "\t rxn05494_cR H+ [e0] + D-Alanine [e0] <=> H+ [R] + D-Alanine [R]\n", + "\t rxn14421_cA Ubiquinol-8 [A] + Cytochrome-bo-ox [A] --> 2 H+ [e0] + Ubiquinone-8 [A] + Cytochrome-bo-red [A]\n", + "\t rxn08275_cA Cu2+ [A] + H+ [e0] --> Cu2+ [e0] + H+ [A]\n", + "\t rxn14425_cA Ubiquinol-8 [A] + Cytochrome-cbb-ox [A] --> 2 H+ [e0] + Ubiquinone-8 [A] + Cytochrome-cbb-red [A]\n", + "\t rxn05225_cR D-Glucose [e0] + H+ [R] + D-Mannose [R] <=> D-Glucose [R] + H+ [e0] + D-Mannose [e0]\n", + "\t dnr00003_cA 2 H+ [e0] + 2 NO [e0] + 2 Reduced azurin [A] --> H2O [e0] + Nitrous oxide [e0] + 2 Oxidized azurin [A]\n", + "\t rxn05651_cR Sulfate [e0] + H+ [e0] <=> Sulfate [R] + H+ [R]\n", + "\t rxn05197_cA H+ [e0] + Uracil [e0] <=> H+ [A] + Uracil [A]\n", + "\t rxn08343_cR H+ [e0] + Deoxyinosine [e0] <=> H+ [R] + Deoxyinosine [R]\n", + "\t rxn05730_cR H+ [e0] + Tetrathionate [e0] <=> H+ [R] + Tetrathionate [R]\n", + "\t rxn05481_cA H+ [e0] + 5-Methylthio-D-ribose [e0] <-- H+ [A] + 5-Methylthio-D-ribose [A]\n", + "\t rxn05217_cR L-Aspartate [e0] + H+ [e0] <=> L-Aspartate [R] + H+ [R]\n", + "\t rxn08350_cR H+ [e0] + D-Lactate [e0] <=> H+ [R] + D-Lactate [R]\n", + "\t rxn09304_cR H+ [e0] + L-Threonine [R] --> H+ [R] + L-Threonine [e0]\n", + "cpd00106_e0 Fumarate [e0]\n", + "\t rxn05561_cA H+ [e0] + Fumarate [e0] <=> H+ [A] + Fumarate [A]\n", + "\t rxn05561_cR H+ [e0] + Fumarate [e0] <=> H+ [R] + Fumarate [R]\n", + "cpd00075_e0 Nitrite [e0]\n", + "\t rxn09004_cR Nitrite [R] + Nitrate [e0] <=> Nitrite [e0] + Nitrate [R]\n", + "\t rxn09004_cA Nitrite [A] + Nitrate [e0] <=> Nitrite [e0] + Nitrate [A]\n", + "\t rxn05625_cR H+ [e0] + Nitrite [e0] <=> H+ [R] + Nitrite [R]\n", + "\t rxn05625_cA H+ [e0] + Nitrite [e0] <=> H+ [A] + Nitrite [A]\n", + "\t dnr00002_cR 2 H+ [e0] + Nitrite [e0] + Reduced azurin [R] --> H2O [e0] + NO [e0] + Oxidized azurin [R]\n", + "cpd00036_e0 Succinate [e0]\n", + "\t rxn05654_cA Succinate [e0] + H+ [e0] <=> Succinate [A] + H+ [A]\n", + "\t rxn05654_cR Succinate [e0] + H+ [e0] <=> Succinate [R] + H+ [R]\n", + "cpd11576_e0 L-methionine R-oxide [e0]\n", + "\t rxn05614_cA H2O [A] + ATP [A] + L-methionine R-oxide [e0] --> ADP [A] + Phosphate [A] + H+ [A] + L-methionine R-oxide [A]\n", + "\t rxn05614_cR H2O [R] + ATP [R] + L-methionine R-oxide [e0] --> ADP [R] + Phosphate [R] + H+ [R] + L-methionine R-oxide [R]\n", + "cpd04097_e0 Pb [e0]\n", + "\t rxn10344_cR H2O [R] + ATP [R] + Pb [R] --> ADP [R] + Phosphate [R] + H+ [R] + Pb [e0]\n", + "\t rxn10344_cA H2O [A] + ATP [A] + Pb [A] --> ADP [A] + Phosphate [A] + H+ [A] + Pb [e0]\n", + "cpd11597_e0 ARSENOBETAINE [e0]\n", + "\t rxn05505_cA H+ [e0] + ARSENOBETAINE [e0] <=> H+ [A] + ARSENOBETAINE [A]\n", + "cpd00012_e0 PPi [e0]\n", + "\t rxn11268_cA PPi [e0] + H+ [e0] <-- PPi [A] + H+ [A]\n", + "\t rxn11268_cR PPi [e0] + H+ [e0] <-- PPi [R] + H+ [R]\n", + "cpd01030_e0 Salicin [e0]\n", + "\t rxn05647_cA Phosphoenolpyruvate [A] + Salicin [e0] <=> Pyruvate [A] + Salicin-6P [A]\n", + "\t rxn05647_cR Phosphoenolpyruvate [R] + Salicin [e0] <=> Pyruvate [R] + Salicin-6P [R]\n", + "cpd00418_e0 NO [e0]\n", + "\t dnr00003_cR 2 H+ [e0] + 2 NO [e0] + 2 Reduced azurin [R] --> H2O [e0] + Nitrous oxide [e0] + 2 Oxidized azurin [R]\n", + "\t dnr00003_cA 2 H+ [e0] + 2 NO [e0] + 2 Reduced azurin [A] --> H2O [e0] + Nitrous oxide [e0] + 2 Oxidized azurin [A]\n", + "\t dnr00002_cR 2 H+ [e0] + Nitrite [e0] + Reduced azurin [R] --> H2O [e0] + NO [e0] + Oxidized azurin [R]\n", + "\t rxn09008_cR NO [R] <=> NO [e0]\n", + "\t rxn09008_cA NO [A] <=> NO [e0]\n", + "\t rxn01806_cA NADH [A] + H+ [A] + 2 NO [e0] --> H2O [A] + NAD [A] + Nitrous oxide [e0]\n", + "\t rxn01806_cR NADH [R] + H+ [R] + 2 NO [e0] --> H2O [R] + NAD [R] + Nitrous oxide [e0]\n", + "cpd00659_e0 Nitrous oxide [e0]\n", + "\t dnr00004_cR 2 H+ [e0] + Nitrous oxide [e0] + 2 Reduced azurin [R] --> H2O [e0] + N2 [e0] + 2 Oxidized azurin [R]\n", + "\t rxn08966_cA Nitrous oxide [A] <=> Nitrous oxide [e0]\n", + "\t rxn11937_cR H2O [R] + NAD [R] + N2 [e0] --> NADH [R] + H+ [R] + Nitrous oxide [e0]\n", + "\t dnr00003_cR 2 H+ [e0] + 2 NO [e0] + 2 Reduced azurin [R] --> H2O [e0] + Nitrous oxide [e0] + 2 Oxidized azurin [R]\n", + "\t dnr00004_cA 2 H+ [e0] + Nitrous oxide [e0] + 2 Reduced azurin [A] --> H2O [e0] + N2 [e0] + 2 Oxidized azurin [A]\n", + "\t dnr00003_cA 2 H+ [e0] + 2 NO [e0] + 2 Reduced azurin [A] --> H2O [e0] + Nitrous oxide [e0] + 2 Oxidized azurin [A]\n", + "\t rxn08966_cR Nitrous oxide [R] <=> Nitrous oxide [e0]\n", + "\t rxn01806_cA NADH [A] + H+ [A] + 2 NO [e0] --> H2O [A] + NAD [A] + Nitrous oxide [e0]\n", + "\t rxn01806_cR NADH [R] + H+ [R] + 2 NO [e0] --> H2O [R] + NAD [R] + Nitrous oxide [e0]\n", + "\t rxn11937_cA H2O [A] + NAD [A] + N2 [e0] <-- NADH [A] + H+ [A] + Nitrous oxide [e0]\n", + "cpd01012_e0 Cd2+ [e0]\n", + "\t rxn05517_cR H+ [e0] + K+ [e0] + Cd2+ [R] <=> H+ [R] + K+ [R] + Cd2+ [e0]\n", + "\t rxn05517_cA H+ [e0] + K+ [e0] + Cd2+ [A] <=> H+ [A] + K+ [A] + Cd2+ [e0]\n", + "\t rxn05516_cR H2O [R] + ATP [R] + Cd2+ [R] --> ADP [R] + Phosphate [R] + H+ [R] + Cd2+ [e0]\n", + "\t rxn05516_cA H2O [A] + ATP [A] + Cd2+ [A] --> ADP [A] + Phosphate [A] + H+ [A] + Cd2+ [e0]\n", + "cpd00058_e0 Cu2+ [e0]\n", + "\t rxn10481_cR H2O [R] + ATP [R] + Cu2+ [e0] --> ADP [R] + Phosphate [R] + Cu2+ [R] + H+ [R]\n", + "\t rxn08275_cA Cu2+ [A] + H+ [e0] --> Cu2+ [e0] + H+ [A]\n", + "\t rxn05528_cA H2O [A] + ATP [A] + Cu2+ [A] --> ADP [A] + Phosphate [A] + Cu2+ [e0] + H+ [A]\n", + "\t rxn10481_cA H2O [A] + ATP [A] + Cu2+ [e0] --> ADP [A] + Phosphate [A] + Cu2+ [A] + H+ [A]\n", + "\t rxn05528_cR H2O [R] + ATP [R] + Cu2+ [R] --> ADP [R] + Phosphate [R] + Cu2+ [e0] + H+ [R]\n", + "\t rxn08275_cR Cu2+ [R] + H+ [e0] --> Cu2+ [e0] + H+ [R]\n", + "cpd00276_e0 GLUM [e0]\n", + "\t rxn05569_cR Phosphoenolpyruvate [R] + GLUM [e0] --> Pyruvate [R] + D-Glucosamine phosphate [R]\n", + "\t rxn05569_cA Phosphoenolpyruvate [A] + GLUM [e0] --> Pyruvate [A] + D-Glucosamine phosphate [A]\n", + "cpd00082_e0 D-Fructose [e0]\n", + "\t rxn05560_cR Phosphoenolpyruvate [R] + D-Fructose [e0] <=> Pyruvate [R] + D-fructose-1-phosphate [R]\n", + "\t rxn05560_cA Phosphoenolpyruvate [A] + D-Fructose [e0] <=> Pyruvate [A] + D-fructose-1-phosphate [A]\n", + "cpd00080_e0 Glycerol-3-phosphate [e0]\n", + "\t rxn05158_cA H2O [A] + ATP [A] + Glycerol-3-phosphate [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Glycerol-3-phosphate [A]\n", + "cpd00001_e0 H2O [e0]\n", + "\t dnr00004_cR 2 H+ [e0] + Nitrous oxide [e0] + 2 Reduced azurin [R] --> H2O [e0] + N2 [e0] + 2 Oxidized azurin [R]\n", + "\t dnr00003_cR 2 H+ [e0] + 2 NO [e0] + 2 Reduced azurin [R] --> H2O [e0] + Nitrous oxide [e0] + 2 Oxidized azurin [R]\n", + "\t dnr00004_cA 2 H+ [e0] + Nitrous oxide [e0] + 2 Reduced azurin [A] --> H2O [e0] + N2 [e0] + 2 Oxidized azurin [A]\n", + "\t dnr00003_cA 2 H+ [e0] + 2 NO [e0] + 2 Reduced azurin [A] --> H2O [e0] + Nitrous oxide [e0] + 2 Oxidized azurin [A]\n", + "\t dnr00002_cR 2 H+ [e0] + Nitrite [e0] + Reduced azurin [R] --> H2O [e0] + NO [e0] + Oxidized azurin [R]\n", + "\t rxn05319_cR H2O [e0] <=> H2O [R]\n", + "\t rxn05319_cA H2O [e0] <=> H2O [A]\n", + "cpd00023_e0 L-Glutamate [e0]\n", + "\t rxn05297_cR L-Glutamate [e0] + H+ [e0] <=> L-Glutamate [R] + H+ [R]\n", + "\t rxn05146_cA H2O [A] + ATP [A] + L-Glutamate [e0] --> ADP [A] + Phosphate [A] + L-Glutamate [A] + H+ [A]\n", + "cpd00971_e0 Na+ [e0]\n", + "\t rxn05209_cR H+ [R] + Na+ [e0] <=> H+ [e0] + Na+ [R]\n", + "cpd00073_e0 Urea [e0]\n", + "\t rxn05157_cA H2O [A] + ATP [A] + Urea [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Urea [A]\n", + "cpd00107_e0 L-Leucine [e0]\n", + "\t rxn05161_cR H2O [R] + ATP [R] + L-Leucine [e0] --> ADP [R] + Phosphate [R] + H+ [R] + L-Leucine [R]\n", + "\t LeuE_cA H+ [A] + L-Leucine [e0] <=> H+ [e0] + L-Leucine [A]\n", + "\t rxn05161_cA H2O [A] + ATP [A] + L-Leucine [e0] --> ADP [A] + Phosphate [A] + H+ [A] + L-Leucine [A]\n", + "cpd00314_e0 D-Mannitol [e0]\n", + "\t rxn05617_cA Phosphoenolpyruvate [A] + D-Mannitol [e0] <=> Pyruvate [A] + D-mannitol-1-phosphate [A]\n", + "\t rxn05617_cR Phosphoenolpyruvate [R] + D-Mannitol [e0] <=> Pyruvate [R] + D-mannitol-1-phosphate [R]\n", + "cpd00013_e0 NH3 [e0]\n", + "\t rxn05466_cR NH3 [e0] <=> NH3 [R]\n", + "\t rxn05466_cA NH3 [e0] <=> NH3 [A]\n", + "cpd00244_e0 Ni2+ [e0]\n", + "\t rxn05174_cA H2O [A] + ATP [A] + Ni2+ [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Ni2+ [A]\n", + "cpd00179_e0 Maltose [e0]\n", + "\t rxn05607_cR Phosphoenolpyruvate [R] + Maltose [e0] <=> Pyruvate [R] + maltose-6-phosphate [R]\n", + "\t rxn05170_cR H2O [R] + ATP [R] + Maltose [e0] --> ADP [R] + Phosphate [R] + H+ [R] + Maltose [R]\n", + "\t rxn05170_cA H2O [A] + ATP [A] + Maltose [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Maltose [A]\n", + "\t rxn05607_cA Phosphoenolpyruvate [A] + Maltose [e0] <=> Pyruvate [A] + maltose-6-phosphate [A]\n", + "cpd00205_e0 K+ [e0]\n", + "\t rxn05517_cR H+ [e0] + K+ [e0] + Cd2+ [R] <=> H+ [R] + K+ [R] + Cd2+ [e0]\n", + "\t rxn05595_cR H+ [e0] + K+ [e0] <=> H+ [R] + K+ [R]\n", + "\t rxn08762_cA H2O [A] + ATP [A] + K+ [e0] --> ADP [A] + Phosphate [A] + H+ [A] + K+ [A]\n", + "\t rxn05595_cA H+ [e0] + K+ [e0] <=> H+ [A] + K+ [A]\n", + "\t rxn05517_cA H+ [e0] + K+ [e0] + Cd2+ [A] <=> H+ [A] + K+ [A] + Cd2+ [e0]\n", + "cpd00009_e0 Phosphate [e0]\n", + "\t rxn05145_cA H2O [A] + ATP [A] + Phosphate [e0] --> ADP [A] + 2 Phosphate [A] + H+ [A]\n", + "\t rxn05312_cR Phosphate [e0] + H+ [e0] <-- Phosphate [R] + H+ [R]\n", + "\t rxn05312_cA Phosphate [e0] + H+ [e0] <-- Phosphate [A] + H+ [A]\n", + "\t rxn05145_cR H2O [R] + ATP [R] + Phosphate [e0] --> ADP [R] + 2 Phosphate [R] + H+ [R]\n", + "cpd00060_e0 L-Methionine [e0]\n", + "\t rxn05219_cA H2O [A] + ATP [A] + L-Methionine [e0] --> ADP [A] + Phosphate [A] + L-Methionine [A] + H+ [A]\n", + "\t rxn05219_cR H2O [R] + ATP [R] + L-Methionine [e0] --> ADP [R] + Phosphate [R] + L-Methionine [R] + H+ [R]\n", + "cpd00119_e0 L-Histidine [e0]\n", + "\t rxn05164_cA H2O [A] + ATP [A] + L-Histidine [e0] --> ADP [A] + Phosphate [A] + H+ [A] + L-Histidine [A]\n", + "cpd00076_e0 Sucrose [e0]\n", + "\t rxn05655_cA Phosphoenolpyruvate [A] + Sucrose [e0] <=> Pyruvate [A] + 6-Phosphosucrose [A]\n", + "\t rxn05655_cR Phosphoenolpyruvate [R] + Sucrose [e0] <=> Pyruvate [R] + 6-Phosphosucrose [R]\n", + "cpd01171_e0 Dulcose [e0]\n", + "\t rxn05567_cA Phosphoenolpyruvate [A] + Dulcose [e0] <=> Pyruvate [A] + Galactitol 1-phosphate [A]\n", + "\t rxn05567_cR Phosphoenolpyruvate [R] + Dulcose [e0] <=> Pyruvate [R] + Galactitol 1-phosphate [R]\n", + "cpd00210_e0 Taurine [e0]\n", + "\t rxn05172_cA H2O [A] + ATP [A] + Taurine [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Taurine [A]\n", + "cpd00264_e0 Spermidine [e0]\n", + "\t rxn05175_cA H2O [A] + ATP [A] + Spermidine [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Spermidine [A]\n", + "cpd00637_e0 D-Methionine [e0]\n", + "\t rxn05183_cA H2O [A] + ATP [A] + D-Methionine [e0] --> ADP [A] + Phosphate [A] + H+ [A] + D-Methionine [A]\n", + "\t rxn05183_cR H2O [R] + ATP [R] + D-Methionine [e0] --> ADP [R] + Phosphate [R] + H+ [R] + D-Methionine [R]\n", + "cpd00122_e0 N-Acetyl-D-glucosamine [e0]\n", + "\t rxn05485_cR Phosphoenolpyruvate [R] + N-Acetyl-D-glucosamine [e0] <=> Pyruvate [R] + N-Acetyl-D-glucosamine 6-phosphate [R]\n", + "\t rxn05485_cA Phosphoenolpyruvate [A] + N-Acetyl-D-glucosamine [e0] <=> Pyruvate [A] + N-Acetyl-D-glucosamine 6-phosphate [A]\n", + "cpd15603_e0 Gly-Cys [e0]\n", + "\t rxn12848_cA H2O [A] + ATP [A] + Gly-Cys [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Gly-Cys [A]\n", + "cpd03696_e0 Ursin [e0]\n", + "\t rxn05501_cA Phosphoenolpyruvate [A] + Ursin [e0] <=> Pyruvate [A] + Arbutin-6P [A]\n", + "\t rxn05501_cR Phosphoenolpyruvate [R] + Ursin [e0] <=> Pyruvate [R] + Arbutin-6P [R]\n", + "cpd00118_e0 Putrescine [e0]\n", + "\t rxn05163_cA H2O [A] + ATP [A] + Putrescine [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Putrescine [A]\n", + "cpd01092_e0 Allantoin [e0]\n", + "\t rxn05682_cA H+ [e0] + Allantoin [e0] <=> H+ [A] + Allantoin [A]\n", + "cpd00224_e0 L-Arabinose [e0]\n", + "\t rxn05173_cA H2O [A] + ATP [A] + L-Arabinose [e0] --> ADP [A] + Phosphate [A] + H+ [A] + L-Arabinose [A]\n", + "\t rxn05500_cR H+ [e0] + L-Arabinose [e0] <=> H+ [R] + L-Arabinose [R]\n", + "cpd01262_e0 Amylotriose [e0]\n", + "\t rxn05608_cA H2O [A] + ATP [A] + Amylotriose [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Amylotriose [A]\n", + "cpd00137_e0 Citrate [e0]\n", + "\t rxn05557_cA H2O [A] + ATP [A] + 2 Citrate [e0] + fe3 [e0] --> ADP [A] + Phosphate [A] + H+ [A] + 2 Citrate [A] + fe3 [A]\n", + "cpd10516_e0 fe3 [e0]\n", + "\t rxn05195_cA H2O [A] + ATP [A] + fe3 [e0] --> ADP [A] + Phosphate [A] + H+ [A] + fe3 [A]\n", + "\t rxn08502_eR Enterobactin [e0] + fe3 [e0] <=> Fe-enterochlin [e0]\n", + "\t rxn05557_cA H2O [A] + ATP [A] + 2 Citrate [e0] + fe3 [e0] --> ADP [A] + Phosphate [A] + H+ [A] + 2 Citrate [A] + fe3 [A]\n", + "\t rxn08502_eA Enterobactin [e0] + fe3 [e0] <=> Fe-enterochlin [e0]\n", + "\t rxn05195_cR H2O [R] + ATP [R] + fe3 [e0] --> ADP [R] + Phosphate [R] + H+ [R] + fe3 [R]\n", + "cpd00307_e0 Cytosine [e0]\n", + "\t rxn05527_cA H+ [e0] + Cytosine [e0] <=> H+ [A] + Cytosine [A]\n", + "cpd00041_e0 L-Aspartate [e0]\n", + "\t rxn05217_cR L-Aspartate [e0] + H+ [e0] <=> L-Aspartate [R] + H+ [R]\n", + "\t rxn05152_cA H2O [A] + ATP [A] + L-Aspartate [e0] --> ADP [A] + Phosphate [A] + L-Aspartate [A] + H+ [A]\n", + "cpd11574_e0 Molybdate [e0]\n", + "\t rxn05619_cA H2O [A] + ATP [A] + Molybdate [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Molybdate [A]\n", + "\t rxn05619_cR H2O [R] + ATP [R] + Molybdate [e0] --> ADP [R] + Phosphate [R] + H+ [R] + Molybdate [R]\n", + "cpd00138_e0 D-Mannose [e0]\n", + "\t rxn05610_cR Phosphoenolpyruvate [R] + D-Mannose [e0] <=> Pyruvate [R] + D-mannose-6-phosphate [R]\n", + "\t rxn05610_cA Phosphoenolpyruvate [A] + D-Mannose [e0] <=> Pyruvate [A] + D-mannose-6-phosphate [A]\n", + "\t rxn05611_cR H+ [e0] + D-Mannose [e0] <=> H+ [R] + D-Mannose [R]\n", + "\t rxn05225_cR D-Glucose [e0] + H+ [R] + D-Mannose [R] <=> D-Glucose [R] + H+ [e0] + D-Mannose [e0]\n", + "cpd00305_e0 Thiamin [e0]\n", + "\t rxn09657_cA H+ [e0] + Thiamin [e0] <=> H+ [A] + Thiamin [A]\n", + "\t rxn09657_cR H+ [e0] + Thiamin [e0] --> H+ [R] + Thiamin [R]\n", + "cpd00048_e0 Sulfate [e0]\n", + "\t rxn05651_cA Sulfate [e0] + H+ [e0] <=> Sulfate [A] + H+ [A]\n", + "\t rxn05153_cA H2O [A] + ATP [A] + Sulfate [e0] --> ADP [A] + Phosphate [A] + Sulfate [A] + H+ [A]\n", + "\t rxn05153_cR H2O [R] + ATP [R] + Sulfate [e0] --> ADP [R] + Phosphate [R] + Sulfate [R] + H+ [R]\n", + "\t rxn05651_cR Sulfate [e0] + H+ [e0] <=> Sulfate [R] + H+ [R]\n", + "cpd00540_e0 BET [e0]\n", + "\t rxn05579_cR H+ [e0] + BET [e0] <=> H+ [R] + BET [R]\n", + "\t rxn05579_cA H+ [e0] + BET [e0] <=> H+ [A] + BET [A]\n", + "cpd04099_e0 Phosphonate [e0]\n", + "\t rxn13892_cA H2O [A] + ATP [A] + Phosphonate [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Phosphonate [A]\n", + "cpd01914_e0 L-Methionine S-oxide [e0]\n", + "\t rxn05613_cA H2O [A] + ATP [A] + L-Methionine S-oxide [e0] --> ADP [A] + Phosphate [A] + H+ [A] + L-Methionine S-oxide [A]\n", + "\t rxn05613_cR H2O [R] + ATP [R] + L-Methionine S-oxide [e0] --> ADP [R] + Phosphate [R] + H+ [R] + L-Methionine S-oxide [R]\n", + "cpd00209_e0 Nitrate [e0]\n", + "\t rxn09004_cR Nitrite [R] + Nitrate [e0] <=> Nitrite [e0] + Nitrate [R]\n", + "\t rxn09004_cA Nitrite [A] + Nitrate [e0] <=> Nitrite [e0] + Nitrate [A]\n", + "\t rxn05171_cA H2O [A] + ATP [A] + Nitrate [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Nitrate [A]\n", + "cpd00386_e0 D-Malate [e0]\n", + "\t rxn05603_cA H+ [e0] + D-Malate [e0] <=> H+ [A] + D-Malate [A]\n", + "\t rxn05603_cR H+ [e0] + D-Malate [e0] <=> H+ [R] + D-Malate [R]\n", + "cpd00027_e0 D-Glucose [e0]\n", + "\t rxn05226_cA D-Glucose [e0] + Phosphoenolpyruvate [A] --> Pyruvate [A] + D-glucose-6-phosphate [A]\n", + "\t rxn05226_cR D-Glucose [e0] + Phosphoenolpyruvate [R] --> Pyruvate [R] + D-glucose-6-phosphate [R]\n", + "\t rxn05573_cR D-Glucose [e0] + H+ [e0] --> D-Glucose [R] + H+ [R]\n", + "\t rxn05225_cR D-Glucose [e0] + H+ [R] + D-Mannose [R] <=> D-Glucose [R] + H+ [e0] + D-Mannose [e0]\n", + "cpd03725_e0 Fe(III)dicitrate [e0]\n", + "\t rxn05189_cA H2O [A] + ATP [A] + Fe(III)dicitrate [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Fe(III)dicitrate [A]\n", + "cpd00794_e0 TRHL [e0]\n", + "\t rxn02005_cR Phosphoenolpyruvate [R] + TRHL [e0] <=> Pyruvate [R] + Trehalose 6-phosphate [R]\n", + "\t rxn02005_cA Phosphoenolpyruvate [A] + TRHL [e0] <=> Pyruvate [A] + Trehalose 6-phosphate [A]\n", + "cpd00105_e0 D-Ribose [e0]\n", + "\t rxn05160_cA H2O [A] + ATP [A] + D-Ribose [e0] --> ADP [A] + Phosphate [A] + H+ [A] + D-Ribose [A]\n", + "cpd00254_e0 Mg [e0]\n", + "\t rxn05616_cA Mg [A] <=> Mg [e0]\n", + "\t rxn05616_cR Mg [R] <=> Mg [e0]\n", + "cpd00268_e0 H2S2O3 [e0]\n", + "\t rxn05176_cR H2O [R] + ATP [R] + H2S2O3 [e0] --> ADP [R] + Phosphate [R] + H+ [R] + H2S2O3 [R]\n", + "\t rxn09330_cA H2S2O3 [A] <=> H2S2O3 [e0]\n", + "\t rxn05176_cA H2O [A] + ATP [A] + H2S2O3 [e0] --> ADP [A] + Phosphate [A] + H+ [A] + H2S2O3 [A]\n", + "\t rxn09330_cR H2S2O3 [R] <=> H2S2O3 [e0]\n", + "cpd00322_e0 L-Isoleucine [e0]\n", + "\t rxn05179_cA H2O [A] + ATP [A] + L-Isoleucine [e0] --> ADP [A] + Phosphate [A] + H+ [A] + L-Isoleucine [A]\n", + "cpd03424_e0 Vitamin B12 [e0]\n", + "\t rxn05187_cA H2O [A] + ATP [A] + Vitamin B12 [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Vitamin B12 [A]\n", + "cpd00092_e0 Uracil [e0]\n", + "\t rxn05197_cA H+ [e0] + Uracil [e0] <=> H+ [A] + Uracil [A]\n", + "cpd00053_e0 L-Glutamine [e0]\n", + "\t rxn05155_cA H2O [A] + ATP [A] + L-Glutamine [e0] --> ADP [A] + Phosphate [A] + L-Glutamine [A] + H+ [A]\n", + "cpd00528_e0 N2 [e0]\n", + "\t dnr00004_cR 2 H+ [e0] + Nitrous oxide [e0] + 2 Reduced azurin [R] --> H2O [e0] + N2 [e0] + 2 Oxidized azurin [R]\n", + "\t rxn11937_cR H2O [R] + NAD [R] + N2 [e0] --> NADH [R] + H+ [R] + Nitrous oxide [e0]\n", + "\t rxn10577_cA N2 [e0] --> N2 [A]\n", + "\t rxn10577_cR N2 [e0] --> N2 [R]\n", + "\t dnr00004_cA 2 H+ [e0] + Nitrous oxide [e0] + 2 Reduced azurin [A] --> H2O [e0] + N2 [e0] + 2 Oxidized azurin [A]\n", + "\t rxn11937_cA H2O [A] + NAD [A] + N2 [e0] <-- NADH [A] + H+ [A] + Nitrous oxide [e0]\n", + "cpd00156_e0 L-Valine [e0]\n", + "\t rxn05168_cA H2O [A] + ATP [A] + L-Valine [e0] --> ADP [A] + Phosphate [A] + H+ [A] + L-Valine [A]\n", + "cpd00151_e0 Thymine [e0]\n", + "\t rxn05659_cA H+ [e0] + Thymine [e0] <=> H+ [A] + Thymine [A]\n", + "cpd00130_e0 L-Malate [e0]\n", + "\t rxn05605_cA H+ [e0] + L-Malate [e0] <=> H+ [A] + L-Malate [A]\n", + "cpd00039_e0 L-Lysine [e0]\n", + "\t rxn08187_cR L-Lysine [e0] + H+ [e0] + Cadaverine [R] <=> L-Lysine [R] + H+ [R] + Cadaverine [e0]\n", + "\t rxn05305_cA L-Lysine [A] + H+ [e0] --> L-Lysine [e0] + H+ [A]\n", + "cpd15574_e0 tungstate [e0]\n", + "\t rxn09333_cA H2O [A] + ATP [A] + tungstate [e0] --> ADP [A] + Phosphate [A] + H+ [A] + tungstate [A]\n", + "cpd00100_e0 Glycerol [e0]\n", + "\t rxn29769_cA H2O [A] + ATP [A] + Glycerol [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Glycerol [A]\n", + "cpd00166_e0 Calomide [e0]\n", + "\t rxn08070_cA H2O [A] + ATP [A] + Calomide [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Calomide [A]\n", + "cpd10515_e0 Fe2+ [e0]\n", + "\t rxn08475_cR Fe2+ [R] <=> Fe2+ [e0]\n", + "\t rxn08475_cA Fe2+ [A] <=> Fe2+ [e0]\n", + "cpd00635_e0 Cbl [e0]\n", + "\t rxn08192_cR H2O [R] + ATP [R] + Cbl [e0] --> ADP [R] + Phosphate [R] + H+ [R] + Cbl [R]\n", + "\t rxn08192_cA H2O [A] + ATP [A] + Cbl [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Cbl [A]\n", + "cpd01329_e0 Maltohexaose [e0]\n", + "\t rxn08869_cA H2O [A] + ATP [A] + Maltohexaose [e0] --> ADP [A] + Phosphate [A] + H+ [A] + Maltohexaose [A]\n", + "cpd00149_e0 Co2+ [e0]\n", + "\t rxn08241_cA Co2+ [A] <=> Co2+ [e0]\n", + "\t rxn08241_cR Co2+ [R] <=> Co2+ [e0]\n", + "cpd00531_e0 Hg2+ [e0]\n", + "\t rxn08715_cA H2O [A] + ATP [A] + Hg2+ [A] --> ADP [A] + Phosphate [A] + H+ [A] + Hg2+ [e0]\n", + "\t rxn08715_cR H2O [R] + ATP [R] + Hg2+ [R] --> ADP [R] + Phosphate [R] + H+ [R] + Hg2+ [e0]\n", + "cpd00161_e0 L-Threonine [e0]\n", + "\t rxn09304_cR H+ [e0] + L-Threonine [R] --> H+ [R] + L-Threonine [e0]\n", + "\t rxn09304_cA H+ [e0] + L-Threonine [A] --> H+ [A] + L-Threonine [e0]\n", + "cpd00227_e0 L-Homoserine [e0]\n", + "\t rxn08722_cR H+ [e0] + L-Homoserine [R] --> H+ [R] + L-Homoserine [e0]\n", + "\t rxn08722_cA H+ [e0] + L-Homoserine [A] --> H+ [A] + L-Homoserine [e0]\n", + "cpd00029_e0 Acetate [e0]\n", + "\t rxn05488_cA Acetate [e0] + H+ [e0] <=> Acetate [A] + H+ [A]\n", + "\t rxn05488_cR Acetate [e0] + H+ [e0] <=> Acetate [R] + H+ [R]\n", + "cpd00034_e0 Zn2+ [e0]\n", + "\t rxn43657_cA Zn2+ [e0] + H+ [e0] <=> Zn2+ [A] + H+ [A]\n", + "\t rxn05150_cR H2O [R] + ATP [R] + Zn2+ [e0] --> ADP [R] + Phosphate [R] + Zn2+ [R] + H+ [R]\n", + "cpd00324_e0 MTTL [e0]\n", + "\t rxn10470_cA MTTL [e0] <=> MTTL [A]\n", + "cpd00020_e0 Pyruvate [e0]\n", + "\t rxn05469_cR Pyruvate [e0] + H+ [e0] <=> Pyruvate [R] + H+ [R]\n", + "\t rxn05469_cA Pyruvate [e0] + H+ [e0] <=> Pyruvate [A] + H+ [A]\n", + "cpd01414_e0 Tetrathionate [e0]\n", + "\t rxn05730_cA H+ [e0] + Tetrathionate [e0] <=> H+ [A] + Tetrathionate [A]\n", + "\t rxn05730_cR H+ [e0] + Tetrathionate [e0] <=> H+ [R] + Tetrathionate [R]\n", + "cpd01024_e0 Methane [e0]\n", + "\t rxn10471_cA Methane [e0] <=> Methane [A]\n", + "cpd00047_e0 Formate [e0]\n", + "\t rxn05559_cR Formate [e0] + H+ [e0] <=> Formate [R] + H+ [R]\n", + "\t rxn05559_cA Formate [e0] + H+ [e0] <=> Formate [A] + H+ [A]\n", + "cpd00007_e0 O2 [e0]\n", + "\t rxn05468_cR O2 [e0] --> O2 [R]\n", + "\t rxn05468_cA O2 [e0] --> O2 [A]\n", + "cpd00011_e0 CO2 [e0]\n", + "\t rxn05467_cA CO2 [e0] <=> CO2 [A]\n", + "\t rxn05467_cR CO2 [e0] <=> CO2 [R]\n", + "cpd03453_e0 Enterobactin [e0]\n", + "\t rxn08502_eR Enterobactin [e0] + fe3 [e0] <=> Fe-enterochlin [e0]\n", + "\t rxn08502_eA Enterobactin [e0] + fe3 [e0] <=> Fe-enterochlin [e0]\n", + "cpd03726_e0 Fe-enterochlin [e0]\n", + "\t rxn08502_eR Enterobactin [e0] + fe3 [e0] <=> Fe-enterochlin [e0]\n", + "\t rxn08502_eA Enterobactin [e0] + fe3 [e0] <=> Fe-enterochlin [e0]\n", + "cpd00363_e0 Ethanol [e0]\n", + "\t rxn08428_cA Ethanol [A] <=> Ethanol [e0]\n", + "\t rxn08428_cR Ethanol [R] <=> Ethanol [e0]\n", + "cpd00071_e0 Acetaldehyde [e0]\n", + "\t rxn08032_cR Acetaldehyde [R] <=> Acetaldehyde [e0]\n", + "\t rxn08032_cA Acetaldehyde [A] <=> Acetaldehyde [e0]\n", + "cpd00221_e0 D-Lactate [e0]\n", + "\t rxn08350_cA H+ [e0] + D-Lactate [e0] <=> H+ [A] + D-Lactate [A]\n", + "\t rxn08350_cR H+ [e0] + D-Lactate [e0] <=> H+ [R] + D-Lactate [R]\n", + "cpd00239_e0 H2S [e0]\n", + "\t rxn08689_cA H2S [A] <=> H2S [e0]\n", + "\t rxn08689_cR H2S [R] <=> H2S [e0]\n", + "cpd00081_e0 Sulfite [e0]\n", + "\t rxn09260_cR Sulfite [R] <=> Sulfite [e0]\n", + "\t rxn09260_cA Sulfite [A] <=> Sulfite [e0]\n", + "cpd01981_e0 5-Methylthio-D-ribose [e0]\n", + "\t rxn05481_cA H+ [e0] + 5-Methylthio-D-ribose [e0] <-- H+ [A] + 5-Methylthio-D-ribose [A]\n", + "cpd00063_e0 Ca2+ [e0]\n", + "\t rxn05514_cA Ca2+ [A] + H+ [e0] <-- Ca2+ [e0] + H+ [A]\n", + "\t rxn05514_cR Ca2+ [R] + H+ [e0] <-- Ca2+ [e0] + H+ [R]\n", + "cpd00030_e0 Mn2+ [e0]\n", + "\t rxn05618_cA Mn2+ [e0] + H+ [e0] --> Mn2+ [A] + H+ [A]\n", + "\t rxn05618_cR Mn2+ [e0] + H+ [e0] --> Mn2+ [R] + H+ [R]\n", + "cpd00099_e0 Cl- [e0]\n", + "\t rxn08233_cA H+ [A] + 2 Cl- [e0] --> H+ [e0] + 2 Cl- [A]\n", + "\t rxn08234_cR Cl- [e0] <=> Cl- [R]\n", + "cpd00182_e0 Adenosine [e0]\n", + "\t rxn05318_cR H+ [e0] + Adenosine [e0] <=> H+ [R] + Adenosine [R]\n", + "cpd00033_e0 Glycine [e0]\n", + "\t rxn05582_cR Glycine [e0] + H+ [e0] <=> Glycine [R] + H+ [R]\n", + "cpd00246_e0 Inosine [e0]\n", + "\t rxn05316_cR H+ [e0] + Inosine [e0] <=> H+ [R] + Inosine [R]\n", + "cpd00367_e0 Cytidine [e0]\n", + "\t rxn05198_cR H+ [e0] + Cytidine [e0] <=> H+ [R] + Cytidine [R]\n", + "cpd00184_e0 Thymidine [e0]\n", + "\t rxn05200_cR H+ [e0] + Thymidine [e0] <=> H+ [R] + Thymidine [R]\n", + "cpd00797_e0 (R)-3-Hydroxybutanoate [e0]\n", + "\t rxn12405_cR (R)-3-Hydroxybutanoate [e0] <=> (R)-3-Hydroxybutanoate [R]\n", + "cpd00438_e0 Deoxyadenosine [e0]\n", + "\t rxn05317_cR H+ [e0] + Deoxyadenosine [e0] <=> H+ [R] + Deoxyadenosine [R]\n", + "cpd00249_e0 Uridine [e0]\n", + "\t rxn05199_cR H+ [e0] + Uridine [e0] <=> H+ [R] + Uridine [R]\n", + "cpd00214_e0 Palmitate [e0]\n", + "\t rxn10162_cR H+ [e0] + Palmitate [e0] <=> H+ [R] + Palmitate [R]\n", + "cpd00654_e0 Deoxycytidine [e0]\n", + "\t rxn05205_cR H+ [e0] + Deoxycytidine [e0] <=> H+ [R] + Deoxycytidine [R]\n", + "cpd00550_e0 D-Serine [e0]\n", + "\t rxn05649_cR H+ [e0] + D-Serine [e0] <=> H+ [R] + D-Serine [R]\n", + "cpd00054_e0 L-Serine [e0]\n", + "\t rxn05307_cR L-Serine [e0] + H+ [e0] <=> L-Serine [R] + H+ [R]\n", + "cpd00154_e0 Xylose [e0]\n", + "\t rxn05671_cR H+ [e0] + Xylose [e0] <=> H+ [R] + Xylose [R]\n", + "cpd00028_e0 Heme [e0]\n", + "\t rxn05148_cR H2O [R] + ATP [R] + Heme [e0] --> ADP [R] + Phosphate [R] + Heme [R] + H+ [R]\n", + "cpd00117_e0 D-Alanine [e0]\n", + "\t rxn05494_cR H+ [e0] + D-Alanine [e0] <=> H+ [R] + D-Alanine [R]\n", + "cpd00108_e0 Galactose [e0]\n", + "\t rxn05566_cR H+ [e0] + Galactose [e0] <=> H+ [R] + Galactose [R]\n", + "cpd00142_e0 Acetoacetate [e0]\n", + "\t rxn05484_cR H+ [e0] + Acetoacetate [e0] <=> H+ [R] + Acetoacetate [R]\n", + "cpd00211_e0 Butyrate [e0]\n", + "\t rxn05683_cR H+ [e0] + Butyrate [e0] <=> H+ [R] + Butyrate [R]\n", + "cpd03847_e0 Myristic acid [e0]\n", + "\t rxn10163_cR H+ [e0] + Myristic acid [e0] <=> H+ [R] + Myristic acid [R]\n", + "cpd00311_e0 Guanosine [e0]\n", + "\t rxn05204_cR H+ [e0] + Guanosine [e0] <=> H+ [R] + Guanosine [R]\n", + "cpd01080_e0 ocdca [e0]\n", + "\t rxn10161_cR H+ [e0] + ocdca [e0] <=> H+ [R] + ocdca [R]\n", + "cpd00129_e0 L-Proline [e0]\n", + "\t rxn05638_cR H+ [e0] + L-Proline [e0] <=> H+ [R] + L-Proline [R]\n", + "cpd00128_e0 Adenine [e0]\n", + "\t rxn05491_cR H+ [e0] + Adenine [e0] <=> H+ [R] + Adenine [R]\n", + "cpd00412_e0 Deoxyuridine [e0]\n", + "\t rxn08376_cR H+ [e0] + Deoxyuridine [e0] <=> H+ [R] + Deoxyuridine [R]\n", + "cpd03279_e0 Deoxyinosine [e0]\n", + "\t rxn08343_cR H+ [e0] + Deoxyinosine [e0] <=> H+ [R] + Deoxyinosine [R]\n", + "cpd00277_e0 Deoxyguanosine [e0]\n", + "\t rxn08323_cR H+ [e0] + Deoxyguanosine [e0] <=> H+ [R] + Deoxyguanosine [R]\n", + "cpd00355_e0 Nicotinamide ribonucleotide [e0]\n", + "\t rxn08995_cR Nicotinamide ribonucleotide [e0] <=> Nicotinamide ribonucleotide [R]\n", + "cpd01155_e0 Cadaverine [e0]\n", + "\t rxn08187_cR L-Lysine [e0] + H+ [e0] + Cadaverine [R] <=> L-Lysine [R] + H+ [R] + Cadaverine [e0]\n", + "cpd00116_e0 Methanol [e0]\n", + "\t rxn10570_cR Methanol [e0] <=> Methanol [R]\n", + "cpd11640_e0 H2 [e0]\n", + "\t rxn08691_cR H2 [R] <=> H2 [e0]\n" + ] + } + ], + "source": [ + "for ex in model_comm.exchanges:\n", + " #if ex.id not in ignore:\n", + " m = list(ex.metabolites)[0]\n", + " print(m.id, m.name)\n", + " for r in m.reactions:\n", + " if r != ex:\n", + " print('\\t', r.id, r.build_reaction_string(True))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "af89c7f0-23c9-4b0d-aafe-f9dcedc02a49", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Namemodel
Memory address11a701210
Number of metabolites2401
Number of reactions2596
Number of genes0
Number of groups0
Objective expression1.0*bio1 - 1.0*bio1_reverse_b18f7
CompartmentscA, e0, cR
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_comm" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "75a2bf49-29fb-4f97-96cf-33a939f2ff96", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cpd00443_cA cpd00443_cR\n", + "cpd02920_cA cpd02920_cR\n", + "cpd00012_cA cpd00012_cR\n", + "cpd00067_cA cpd00067_cR\n", + "cpd00683_cA cpd00683_cR\n", + "cpd00002_cA cpd00002_cR\n", + "cpd00033_cA cpd00033_cR\n", + "cpd00506_cA cpd00506_cR\n", + "cpd00008_cA cpd00008_cR\n", + "cpd00009_cA cpd00009_cR\n", + "cpd00042_cA cpd00042_cR\n", + "cpd00022_cA cpd00022_cR\n", + "cpd00054_cA cpd00054_cR\n", + "cpd00010_cA cpd00010_cR\n", + "cpd00722_cA cpd00722_cR\n", + "cpd00046_cA cpd00046_cR\n", + "cpd00096_cA cpd00096_cR\n", + "cpd00106_cA cpd00106_cR\n", + "cpd00037_cA cpd00037_cR\n", + "cpd03494_cA cpd03494_cR\n", + "cpd00014_cA cpd00014_cR\n", + "cpd03495_cA cpd03495_cR\n", + "cpd00001_cA cpd00001_cR\n", + "cpd00658_cA cpd00658_cR\n", + "cpd00020_cA cpd00020_cR\n", + "cpd02566_cA cpd02566_cR\n", + "cpd11440_cA cpd11440_cR\n", + "cpd00018_cA cpd00018_cR\n", + "cpd11441_cA cpd11441_cR\n", + "cpd00023_cA cpd00023_cR\n", + "cpd00084_cA cpd00084_cR\n", + "cpd00004_cA cpd00004_cR\n", + "cpd11527_cA cpd11527_cR\n", + "cpd00003_cA cpd00003_cR\n", + "cpd00533_cA cpd00533_cR\n", + "cpd00356_cA cpd00356_cR\n", + "cpd00075_cA cpd00075_cR\n", + "cpd00851_cA cpd00851_cR\n", + "cpd00213_cA cpd00213_cR\n", + "cpd03049_cA cpd03049_cR\n", + "cpd00056_cA cpd00056_cR\n", + "cpd00836_cA cpd00836_cR\n", + "cpd00006_cA cpd00006_cR\n", + "cpd00842_cA cpd00842_cR\n", + "cpd00005_cA cpd00005_cR\n", + "cpd00279_cA cpd00279_cR\n", + "cpd00521_cA cpd00521_cR\n", + "cpd00522_cA cpd00522_cR\n", + "cpd03113_cA cpd03113_cR\n", + "cpd03114_cA cpd03114_cR\n", + "cpd00039_cA cpd00039_cR\n", + "cpd00011_cA cpd00011_cR\n", + "cpd01155_cA cpd01155_cR\n", + "cpd11466_cA cpd11466_cR\n", + "cpd01695_cA cpd01695_cR\n", + "cpd11493_cA cpd11493_cR\n", + "cpd07923_cA cpd07923_cR\n", + "cpd07924_cA cpd07924_cR\n", + "cpd02557_cA cpd02557_cR\n", + "cpd00113_cA cpd00113_cR\n", + "cpd02590_cA cpd02590_cR\n", + "cpd15269_cA cpd15269_cR\n", + "cpd15349_cA cpd15349_cR\n", + "cpd15541_cA cpd15541_cR\n", + "cpd08289_cA cpd08289_cR\n", + "cpd08449_cA cpd08449_cR\n", + "cpd00478_cA cpd00478_cR\n", + "cpd03187_cA cpd03187_cR\n", + "cpd00024_cA cpd00024_cR\n", + "cpd15688_cA cpd15688_cR\n", + "cpd15694_cA cpd15694_cR\n", + "cpd15721_cA cpd15721_cR\n", + "cpd15727_cA cpd15727_cR\n", + "cpd11589_cA cpd11589_cR\n", + "cpd00041_cA cpd00041_cR\n", + "cpd00038_cA cpd00038_cR\n", + "cpd00048_cA cpd00048_cR\n", + "cpd00031_cA cpd00031_cR\n", + "cpd00193_cA cpd00193_cR\n", + "cpd00206_cA cpd00206_cR\n", + "cpd02375_cA cpd02375_cR\n", + "cpd00052_cA cpd00052_cR\n", + "cpd02201_cA cpd02201_cR\n", + "cpd02666_cA cpd02666_cR\n", + "cpd02097_cA cpd02097_cR\n", + "cpd00201_cA cpd00201_cR\n", + "cpd03524_cA cpd03524_cR\n", + "cpd00477_cA cpd00477_cR\n", + "cpd00654_cA cpd00654_cR\n", + "cpd00036_cA cpd00036_cR\n", + "cpd00007_cA cpd00007_cR\n", + "cpd00136_cA cpd00136_cR\n", + "cpd00198_cA cpd00198_cR\n", + "cpd15317_cA cpd15317_cR\n", + "cpd00908_cA cpd00908_cR\n", + "cpd15237_cA cpd15237_cR\n", + "cpd11576_cA cpd11576_cR\n", + "cpd04097_cA cpd04097_cR\n", + "cpd15540_cA cpd15540_cR\n", + "cpd00100_cA cpd00100_cR\n", + "cpd15793_cA cpd15793_cR\n", + "cpd00807_cA cpd00807_cR\n", + "cpd00930_cA cpd00930_cR\n", + "cpd03414_cA cpd03414_cR\n", + "cpd03416_cA cpd03416_cR\n", + "cpd02961_cA cpd02961_cR\n", + "cpd00229_cA cpd00229_cR\n", + "cpd00954_cA cpd00954_cR\n", + "cpd00013_cA cpd00013_cR\n", + "cpd00025_cA cpd00025_cR\n", + "cpd00032_cA cpd00032_cR\n", + "cpd02978_cA cpd02978_cR\n", + "cpd02851_cA cpd02851_cR\n", + "cpd00103_cA cpd00103_cR\n", + "cpd02506_cA cpd02506_cR\n", + "cpd00080_cA cpd00080_cR\n", + "cpd15686_cA cpd15686_cR\n", + "cpd15719_cA cpd15719_cR\n", + "cpd00982_cA cpd00982_cR\n", + "cpd15560_cA cpd15560_cR\n", + "cpd00015_cA cpd00015_cR\n", + "cpd15561_cA cpd15561_cR\n", + "cpd00071_cA cpd00071_cR\n", + "cpd15331_cA cpd15331_cR\n", + "cpd15522_cA cpd15522_cR\n", + "cpd15682_cA cpd15682_cR\n", + "cpd02498_cA cpd02498_cR\n", + "cpd00123_cA cpd00123_cR\n", + "cpd11543_cA cpd11543_cR\n", + "cpd11483_cA cpd11483_cR\n", + "cpd11471_cA cpd11471_cR\n", + "cpd00171_cA cpd00171_cR\n", + "cpd00047_cA cpd00047_cR\n", + "cpd11225_cA cpd11225_cR\n", + "cpd00342_cA cpd00342_cR\n", + "cpd00064_cA cpd00064_cR\n", + "cpd11421_cA cpd11421_cR\n", + "cpd11420_cA cpd11420_cR\n", + "cpd00585_cA cpd00585_cR\n", + "cpd01679_cA cpd01679_cR\n", + "cpd11513_cA cpd11513_cR\n", + "cpd11514_cA cpd11514_cR\n", + "cpd00095_cA cpd00095_cR\n", + "cpd15298_cA cpd15298_cR\n", + "cpd15338_cA cpd15338_cR\n", + "cpd15530_cA cpd15530_cR\n", + "cpd02333_cA cpd02333_cR\n", + "cpd03470_cA cpd03470_cR\n", + "cpd09879_cA cpd09879_cR\n", + "cpd00759_cA cpd00759_cR\n", + "cpd00147_cA cpd00147_cR\n", + "cpd00128_cA cpd00128_cR\n", + "cpd15685_cA cpd15685_cR\n", + "cpd15691_cA cpd15691_cR\n", + "cpd00817_cA cpd00817_cR\n", + "cpd02511_cA cpd02511_cR\n", + "cpd11505_cA cpd11505_cR\n", + "cpd11506_cA cpd11506_cR\n", + "cpd15506_cA cpd15506_cR\n", + "cpd15505_cA cpd15505_cR\n", + "cpd00086_cA cpd00086_cR\n", + "cpd00810_cA cpd00810_cR\n", + "cpd00091_cA cpd00091_cR\n", + "cpd02654_cA cpd02654_cR\n", + "cpd02894_cA cpd02894_cR\n", + "cpd00793_cA cpd00793_cR\n", + "cpd00118_cA cpd00118_cR\n", + "cpd15350_cA cpd15350_cR\n", + "cpd01741_cA cpd01741_cR\n", + "cpd00345_cA cpd00345_cR\n", + "cpd00125_cA cpd00125_cR\n", + "cpd00019_cA cpd00019_cR\n", + "cpd00017_cA cpd00017_cR\n", + "cpd15308_cA cpd15308_cR\n", + "cpd15523_cA cpd15523_cR\n", + "cpd00307_cA cpd00307_cR\n", + "cpd00092_cA cpd00092_cR\n", + "cpd00061_cA cpd00061_cR\n", + "cpd03698_cA cpd03698_cR\n", + "cpd00226_cA cpd00226_cR\n", + "cpd00309_cA cpd00309_cR\n", + "cpd00530_cA cpd00530_cR\n", + "cpd00497_cA cpd00497_cR\n", + "cpd15702_cA cpd15702_cR\n", + "cpd15678_cA cpd15678_cR\n", + "cpd02210_cA cpd02210_cR\n", + "cpd00102_cA cpd00102_cR\n", + "cpd00359_cA cpd00359_cR\n", + "cpd15325_cA cpd15325_cR\n", + "cpd03002_cA cpd03002_cR\n", + "cpd02993_cA cpd02993_cR\n", + "cpd00773_cA cpd00773_cR\n", + "cpd15387_cA cpd15387_cR\n", + "cpd15579_cA cpd15579_cR\n", + "cpd02730_cA cpd02730_cR\n", + "cpd15605_cA cpd15605_cR\n", + "cpd00066_cA cpd00066_cR\n", + "cpd01977_cA cpd01977_cR\n", + "cpd15422_cA cpd15422_cR\n", + "cpd02065_cA cpd02065_cR\n", + "cpd00035_cA cpd00035_cR\n", + "cpd00483_cA cpd00483_cR\n", + "cpd00493_cA cpd00493_cR\n", + "cpd00016_cA cpd00016_cR\n", + "cpd15357_cA cpd15357_cR\n", + "cpd11502_cA cpd11502_cR\n", + "cpd11464_cA cpd11464_cR\n", + "cpd11492_cA cpd11492_cR\n", + "cpd11486_cA cpd11486_cR\n", + "cpd00119_cA cpd00119_cR\n", + "cpd00581_cA cpd00581_cR\n", + "cpd03124_cA cpd03124_cR\n", + "cpd03121_cA cpd03121_cR\n", + "cpd11522_cA cpd11522_cR\n", + "cpd11523_cA cpd11523_cR\n", + "cpd01012_cA cpd01012_cR\n", + "cpd00268_cA cpd00268_cR\n", + "cpd00029_cA cpd00029_cR\n", + "cpd00081_cA cpd00081_cR\n", + "cpd00053_cA cpd00053_cR\n", + "cpd00132_cA cpd00132_cR\n", + "cpd00760_cA cpd00760_cR\n", + "cpd02125_cA cpd02125_cR\n", + "cpd00819_cA cpd00819_cR\n", + "cpd00427_cA cpd00427_cR\n", + "cpd15423_cA cpd15423_cR\n", + "cpd15553_cA cpd15553_cR\n", + "cpd03189_cA cpd03189_cR\n", + "cpd00860_cA cpd00860_cR\n", + "cpd15239_cA cpd15239_cR\n", + "cpd15418_cA cpd15418_cR\n", + "cpd15556_cA cpd15556_cR\n", + "cpd02090_cA cpd02090_cR\n", + "cpd01646_cA cpd01646_cR\n", + "cpd01080_cA cpd01080_cR\n", + "cpd15341_cA cpd15341_cR\n", + "cpd15533_cA cpd15533_cR\n", + "cpd00242_cA cpd00242_cR\n", + "cpd12848_cA cpd12848_cR\n", + "cpd12543_cA cpd12543_cR\n", + "cpd00239_cA cpd00239_cR\n", + "cpd00383_cA cpd00383_cR\n", + "cpd02030_cA cpd02030_cR\n", + "cpd00873_cA cpd00873_cR\n", + "cpd03471_cA cpd03471_cR\n", + "cpd00219_cA cpd00219_cR\n", + "cpd00868_cA cpd00868_cR\n", + "cpd00044_cA cpd00044_cR\n", + "cpd01335_cA cpd01335_cR\n", + "cpd03130_cA cpd03130_cR\n", + "cpd00504_cA cpd00504_cR\n", + "cpd00516_cA cpd00516_cR\n", + "cpd00344_cA cpd00344_cR\n", + "cpd00770_cA cpd00770_cR\n", + "cpd00905_cA cpd00905_cR\n", + "cpd11585_cA cpd11585_cR\n", + "cpd15500_cA cpd15500_cR\n", + "cpd15499_cA cpd15499_cR\n", + "cpd00058_cA cpd00058_cR\n", + "cpd03919_cA cpd03919_cR\n", + "cpd00689_cA cpd00689_cR\n", + "cpd00755_cA cpd00755_cR\n", + "cpd11472_cA cpd11472_cR\n", + "cpd11490_cA cpd11490_cR\n", + "cpd15348_cA cpd15348_cR\n", + "cpd15529_cA cpd15529_cR\n", + "cpd15336_cA cpd15336_cR\n", + "cpd01101_cA cpd01101_cR\n", + "cpd00288_cA cpd00288_cR\n", + "cpd00655_cA cpd00655_cR\n", + "cpd00068_cA cpd00068_cR\n", + "cpd00114_cA cpd00114_cR\n", + "cpd01775_cA cpd01775_cR\n", + "cpd00498_cA cpd00498_cR\n", + "cpd10162_cA cpd10162_cR\n", + "cpd11526_cA cpd11526_cR\n", + "cpd00802_cA cpd00802_cR\n", + "cpd00126_cA cpd00126_cR\n", + "cpd15352_cA cpd15352_cR\n", + "cpd15353_cA cpd15353_cR\n", + "cpd00203_cA cpd00203_cR\n", + "cpd00867_cA cpd00867_cR\n", + "cpd00121_cA cpd00121_cR\n", + "cpd00971_cA cpd00971_cR\n", + "cpd00282_cA cpd00282_cR\n", + "cpd00247_cA cpd00247_cR\n", + "cpd00774_cA cpd00774_cR\n", + "cpd00073_cA cpd00073_cR\n", + "cpd15557_cA cpd15557_cR\n", + "cpd00286_cA cpd00286_cR\n", + "cpd02862_cA cpd02862_cR\n", + "cpd02948_cA cpd02948_cR\n", + "cpd02857_cA cpd02857_cR\n", + "cpd00699_cA cpd00699_cR\n", + "cpd11468_cA cpd11468_cR\n", + "cpd11469_cA cpd11469_cR\n", + "cpd03915_cA cpd03915_cR\n", + "cpd00421_cA cpd00421_cR\n", + "cpd03916_cA cpd03916_cR\n", + "cpd00087_cA cpd00087_cR\n", + "cpd00290_cA cpd00290_cR\n", + "cpd02152_cA cpd02152_cR\n", + "cpd00051_cA cpd00051_cR\n", + "cpd00641_cA cpd00641_cR\n", + "cpd15328_cA cpd15328_cR\n", + "cpd15687_cA cpd15687_cR\n", + "cpd15693_cA cpd15693_cR\n", + "cpd01260_cA cpd01260_cR\n", + "cpd02060_cA cpd02060_cR\n", + "cpd00311_cA cpd00311_cR\n", + "cpd00626_cA cpd00626_cR\n", + "cpd12547_cA cpd12547_cR\n", + "cpd00062_cA cpd00062_cR\n", + "cpd08286_cA cpd08286_cR\n", + "cpd00101_cA cpd00101_cR\n", + "cpd03163_cA cpd03163_cR\n", + "cpd03392_cA cpd03392_cR\n", + "cpd11478_cA cpd11478_cR\n", + "cpd11465_cA cpd11465_cR\n", + "cpd03666_cA cpd03666_cR\n", + "cpd02767_cA cpd02767_cR\n", + "cpd00797_cA cpd00797_cR\n", + "cpd00107_cA cpd00107_cR\n", + "cpd00072_cA cpd00072_cR\n", + "cpd03607_cA cpd03607_cR\n", + "cpd04539_cA cpd04539_cR\n", + "cpd00357_cA cpd00357_cR\n", + "cpd00297_cA cpd00297_cR\n", + "cpd02691_cA cpd02691_cR\n", + "cpd02124_cA cpd02124_cR\n", + "cpd00216_cA cpd00216_cR\n", + "cpd00093_cA cpd00093_cR\n", + "cpd15746_cA cpd15746_cR\n", + "cpd15764_cA cpd15764_cR\n", + "cpd00491_cA cpd00491_cR\n", + "cpd11588_cA cpd11588_cR\n", + "cpd00129_cA cpd00129_cR\n", + "cpd00241_cA cpd00241_cR\n", + "cpd00295_cA cpd00295_cR\n", + "cpd15546_cA cpd15546_cR\n", + "cpd15539_cA cpd15539_cR\n", + "cpd00296_cA cpd00296_cR\n", + "cpd00277_cA cpd00277_cR\n", + "cpd11438_cA cpd11438_cR\n", + "cpd11439_cA cpd11439_cR\n", + "cpd11488_cA cpd11488_cR\n", + "cpd15339_cA cpd15339_cR\n", + "cpd00214_cA cpd00214_cR\n", + "cpd11570_cA cpd11570_cR\n", + "cpd11571_cA cpd11571_cR\n", + "cpd00055_cA cpd00055_cR\n", + "cpd01324_cA cpd01324_cR\n", + "cpd15679_cA cpd15679_cR\n", + "cpd00040_cA cpd00040_cR\n", + "cpd15720_cA cpd15720_cR\n", + "cpd01651_cA cpd01651_cR\n", + "cpd03407_cA cpd03407_cR\n", + "cpd15322_cA cpd15322_cR\n", + "cpd15398_cA cpd15398_cR\n", + "cpd00122_cA cpd00122_cR\n", + "cpd15401_cA cpd15401_cR\n", + "cpd15343_cA cpd15343_cR\n", + "cpd11836_cA cpd11836_cR\n", + "cpd00957_cA cpd00957_cR\n", + "cpd00159_cA cpd00159_cR\n", + "cpd00143_cA cpd00143_cR\n", + "cpd03480_cA cpd03480_cR\n", + "cpd15327_cA cpd15327_cR\n", + "cpd00822_cA cpd00822_cR\n", + "cpd00135_cA cpd00135_cR\n", + "cpd11484_cA cpd11484_cR\n", + "cpd11467_cA cpd11467_cR\n", + "cpd03518_cA cpd03518_cR\n", + "cpd03519_cA cpd03519_cR\n", + "cpd15704_cA cpd15704_cR\n", + "cpd15680_cA cpd15680_cR\n", + "cpd01501_cA cpd01501_cR\n", + "cpd00098_cA cpd00098_cR\n", + "cpd15753_cA cpd15753_cR\n", + "cpd15771_cA cpd15771_cR\n", + "cpd15419_cA cpd15419_cR\n", + "cpd15545_cA cpd15545_cR\n", + "cpd00790_cA cpd00790_cR\n", + "cpd01919_cA cpd01919_cR\n", + "cpd00205_cA cpd00205_cR\n", + "cpd11474_cA cpd11474_cR\n", + "cpd11489_cA cpd11489_cR\n", + "cpd03118_cA cpd03118_cR\n", + "cpd03129_cA cpd03129_cR\n", + "cpd03449_cA cpd03449_cR\n", + "cpd00292_cA cpd00292_cR\n", + "cpd02068_cA cpd02068_cR\n", + "cpd00347_cA cpd00347_cR\n", + "cpd11476_cA cpd11476_cR\n", + "cpd00134_cA cpd00134_cR\n", + "cpd15312_cA cpd15312_cR\n", + "cpd15527_cA cpd15527_cR\n", + "cpd00875_cA cpd00875_cR\n", + "cpd00346_cA cpd00346_cR\n", + "cpd02120_cA cpd02120_cR\n", + "cpd15309_cA cpd15309_cR\n", + "cpd15524_cA cpd15524_cR\n", + "cpd03116_cA cpd03116_cR\n", + "cpd00223_cA cpd00223_cR\n", + "cpd00843_cA cpd00843_cR\n", + "cpd15606_cA cpd15606_cR\n", + "cpd00069_cA cpd00069_cR\n", + "cpd11539_cA cpd11539_cR\n", + "cpd15420_cA cpd15420_cR\n", + "cpd15548_cA cpd15548_cR\n", + "cpd15358_cA cpd15358_cR\n", + "cpd02746_cA cpd02746_cR\n", + "cpd02229_cA cpd02229_cR\n", + "cpd11491_cA cpd11491_cR\n", + "cpd00260_cA cpd00260_cR\n", + "cpd00906_cA cpd00906_cR\n", + "cpd00343_cA cpd00343_cR\n", + "cpd00060_cA cpd00060_cR\n", + "cpd01298_cA cpd01298_cR\n", + "cpd00428_cA cpd00428_cR\n", + "cpd00078_cA cpd00078_cR\n", + "cpd00449_cA cpd00449_cR\n", + "cpd00227_cA cpd00227_cR\n", + "cpd00130_cA cpd00130_cR\n", + "cpd15342_cA cpd15342_cR\n", + "cpd00918_cA cpd00918_cR\n", + "cpd00249_cA cpd00249_cR\n", + "cpd00220_cA cpd00220_cR\n", + "cpd00050_cA cpd00050_cR\n", + "cpd00349_cA cpd00349_cR\n", + "cpd00236_cA cpd00236_cR\n", + "cpd03487_cA cpd03487_cR\n", + "cpd03488_cA cpd03488_cR\n", + "cpd00338_cA cpd00338_cR\n", + "cpd00070_cA cpd00070_cR\n", + "cpd15526_cA cpd15526_cR\n", + "cpd11580_cA cpd11580_cR\n", + "cpd03115_cA cpd03115_cR\n", + "cpd12689_cA cpd12689_cR\n", + "cpd00834_cA cpd00834_cR\n", + "cpd00666_cA cpd00666_cR\n", + "cpd15399_cA cpd15399_cR\n", + "cpd15391_cA cpd15391_cR\n", + "cpd01777_cA cpd01777_cR\n", + "cpd02979_cA cpd02979_cR\n", + "cpd02711_cA cpd02711_cR\n", + "cpd00089_cA cpd00089_cR\n", + "cpd00109_cA cpd00109_cR\n", + "cpd00221_cA cpd00221_cR\n", + "cpd00110_cA cpd00110_cR\n", + "cpd00139_cA cpd00139_cR\n", + "cpd15337_cA cpd15337_cR\n", + "cpd03847_cA cpd03847_cR\n", + "cpd03918_cA cpd03918_cR\n", + "cpd00322_cA cpd00322_cR\n", + "cpd00508_cA cpd00508_cR\n", + "cpd00085_cA cpd00085_cR\n", + "cpd11534_cA cpd11534_cR\n", + "cpd11535_cA cpd11535_cR\n", + "cpd00233_cA cpd00233_cR\n", + "cpd00231_cA cpd00231_cR\n", + "cpd03126_cA cpd03126_cR\n", + "cpd00115_cA cpd00115_cR\n", + "cpd00177_cA cpd00177_cR\n", + "cpd15347_cA cpd15347_cR\n", + "cpd02535_cA cpd02535_cR\n", + "cpd02882_cA cpd02882_cR\n", + "cpd02656_cA cpd02656_cR\n", + "cpd15700_cA cpd15700_cR\n", + "cpd02227_cA cpd02227_cR\n", + "cpd11582_cA cpd11582_cR\n", + "cpd00161_cA cpd00161_cR\n", + "cpd11501_cA cpd11501_cR\n", + "cpd00094_cA cpd00094_cR\n", + "cpd00026_cA cpd00026_cR\n", + "cpd02572_cA cpd02572_cR\n", + "cpd02345_cA cpd02345_cR\n", + "cpd15277_cA cpd15277_cR\n", + "cpd01716_cA cpd01716_cR\n", + "cpd00638_cA cpd00638_cR\n", + "cpd03846_cA cpd03846_cR\n", + "cpd11470_cA cpd11470_cR\n", + "cpd11475_cA cpd11475_cR\n", + "cpd01571_cA cpd01571_cR\n", + "cpd03454_cA cpd03454_cR\n", + "cpd15360_cA cpd15360_cR\n", + "cpd01693_cA cpd01693_cR\n", + "cpd15329_cA cpd15329_cR\n", + "cpd01982_cA cpd01982_cR\n", + "cpd08288_cA cpd08288_cR\n", + "cpd08301_cA cpd08301_cR\n", + "cpd15366_cA cpd15366_cR\n", + "cpd15569_cA cpd15569_cR\n", + "cpd00289_cA cpd00289_cR\n", + "cpd15421_cA cpd15421_cR\n", + "cpd02991_cA cpd02991_cR\n", + "cpd15684_cA cpd15684_cR\n", + "cpd15690_cA cpd15690_cR\n", + "cpd00184_cA cpd00184_cR\n", + "cpd00151_cA cpd00151_cR\n", + "cpd00509_cA cpd00509_cR\n", + "cpd11481_cA cpd11481_cR\n", + "cpd11485_cA cpd11485_cR\n", + "cpd00150_cA cpd00150_cR\n", + "cpd01211_cA cpd01211_cR\n", + "cpd03752_cA cpd03752_cR\n", + "cpd02311_cA cpd02311_cR\n", + "cpd00182_cA cpd00182_cR\n", + "cpd00281_cA cpd00281_cR\n", + "cpd15510_cA cpd15510_cR\n", + "cpd00117_cA cpd00117_cR\n", + "cpd03517_cA cpd03517_cR\n", + "cpd12847_cA cpd12847_cR\n", + "cpd15323_cA cpd15323_cR\n", + "cpd15370_cA cpd15370_cR\n", + "cpd15568_cA cpd15568_cR\n", + "cpd00138_cA cpd00138_cR\n", + "cpd00082_cA cpd00082_cR\n", + "cpd15603_cA cpd15603_cR\n", + "cpd15330_cA cpd15330_cR\n", + "cpd00264_cA cpd00264_cR\n", + "cpd02172_cA cpd02172_cR\n", + "cpd02419_cA cpd02419_cR\n", + "cpd15531_cA cpd15531_cR\n", + "cpd15521_cA cpd15521_cR\n", + "cpd15417_cA cpd15417_cR\n", + "cpd15354_cA cpd15354_cR\n", + "cpd00532_cA cpd00532_cR\n", + "cpd11517_cA cpd11517_cR\n", + "cpd11518_cA cpd11518_cR\n", + "cpd11480_cA cpd11480_cR\n", + "cpd00630_cA cpd00630_cR\n", + "cpd01507_cA cpd01507_cR\n", + "cpd00152_cA cpd00152_cR\n", + "cpd02083_cA cpd02083_cR\n", + "cpd00791_cA cpd00791_cR\n", + "cpd03091_cA cpd03091_cR\n", + "cpd00083_cA cpd00083_cR\n", + "cpd00485_cA cpd00485_cR\n", + "cpd02828_cA cpd02828_cR\n", + "cpd04122_cA cpd04122_cR\n", + "cpd00156_cA cpd00156_cR\n", + "cpd00939_cA cpd00939_cR\n", + "cpd02775_cA cpd02775_cR\n", + "cpd11587_cA cpd11587_cR\n", + "cpd02835_cA cpd02835_cR\n", + "cpd02930_cA cpd02930_cR\n", + "cpd00706_cA cpd00706_cR\n", + "cpd15538_cA cpd15538_cR\n", + "cpd15346_cA cpd15346_cR\n", + "cpd00367_cA cpd00367_cR\n", + "cpd00355_cA cpd00355_cR\n", + "cpd02016_cA cpd02016_cR\n", + "cpd11583_cA cpd11583_cR\n", + "cpd01572_cA cpd01572_cR\n", + "cpd00989_cA cpd00989_cR\n", + "cpd00637_cA cpd00637_cR\n", + "cpd02964_cA cpd02964_cR\n", + "cpd00809_cA cpd00809_cR\n", + "cpd00653_cA cpd00653_cR\n", + "cpd00894_cA cpd00894_cR\n", + "cpd08287_cA cpd08287_cR\n", + "cpd15552_cA cpd15552_cR\n", + "cpd15528_cA cpd15528_cR\n", + "cpd00169_cA cpd00169_cR\n", + "cpd00246_cA cpd00246_cR\n", + "cpd11592_cA cpd11592_cR\n", + "cpd02484_cA cpd02484_cR\n", + "cpd00932_cA cpd00932_cR\n", + "cpd03127_cA cpd03127_cR\n", + "cpd11542_cA cpd11542_cR\n", + "cpd00065_cA cpd00065_cR\n", + "cpd11463_cA cpd11463_cR\n", + "cpd11433_cA cpd11433_cR\n", + "cpd11434_cA cpd11434_cR\n", + "cpd00293_cA cpd00293_cR\n", + "cpd00043_cA cpd00043_cR\n", + "cpd02234_cA cpd02234_cR\n", + "cpd00320_cA cpd00320_cR\n", + "cpd00924_cA cpd00924_cR\n", + "cpd00104_cA cpd00104_cR\n", + "cpd03920_cA cpd03920_cR\n", + "cpd15314_cA cpd15314_cR\n", + "cpd00492_cA cpd00492_cR\n", + "cpd02552_cA cpd02552_cR\n", + "cpd15699_cA cpd15699_cR\n", + "cpd00945_cA cpd00945_cR\n", + "cpd03697_cA cpd03697_cR\n", + "cpd03128_cA cpd03128_cR\n", + "cpd00525_cA cpd00525_cR\n", + "cpd00298_cA cpd00298_cR\n", + "cpd15369_cA cpd15369_cR\n", + "cpd15571_cA cpd15571_cR\n", + "cpd03192_cA cpd03192_cR\n", + "cpd03171_cA cpd03171_cR\n", + "cpd15532_cA cpd15532_cR\n", + "cpd08615_cA cpd08615_cR\n", + "cpd00202_cA cpd00202_cR\n", + "cpd15547_cA cpd15547_cR\n", + "cpd00275_cA cpd00275_cR\n", + "cpd00180_cA cpd00180_cR\n", + "cpd00105_cA cpd00105_cR\n", + "cpd15544_cA cpd15544_cR\n", + "cpd15537_cA cpd15537_cR\n", + "cpd15320_cA cpd15320_cR\n", + "cpd01092_cA cpd01092_cR\n", + "cpd11482_cA cpd11482_cR\n", + "cpd11487_cA cpd11487_cR\n", + "cpd02843_cA cpd02843_cR\n", + "cpd15716_cA cpd15716_cR\n", + "cpd15722_cA cpd15722_cR\n", + "cpd15525_cA cpd15525_cR\n", + "cpd00207_cA cpd00207_cR\n", + "cpd03052_cA cpd03052_cR\n", + "cpd01831_cA cpd01831_cR\n", + "cpd00501_cA cpd00501_cR\n", + "cpd15681_cA cpd15681_cR\n", + "cpd11479_cA cpd11479_cR\n", + "cpd00284_cA cpd00284_cR\n", + "cpd02197_cA cpd02197_cR\n", + "cpd02893_cA cpd02893_cR\n", + "cpd02921_cA cpd02921_cR\n", + "cpd15397_cA cpd15397_cR\n", + "cpd15386_cA cpd15386_cR\n", + "cpd15396_cA cpd15396_cR\n", + "cpd00350_cA cpd00350_cR\n", + "cpd08211_cA cpd08211_cR\n", + "cpd00176_cA cpd00176_cR\n", + "cpd00413_cA cpd00413_cR\n", + "cpd00650_cA cpd00650_cR\n", + "cpd02693_cA cpd02693_cR\n", + "cpd01710_cA cpd01710_cR\n", + "cpd00224_cA cpd00224_cR\n", + "cpd02605_cA cpd02605_cR\n", + "cpd15706_cA cpd15706_cR\n", + "cpd15345_cA cpd15345_cR\n", + "cpd01262_cA cpd01262_cR\n", + "cpd00137_cA cpd00137_cR\n", + "cpd10516_cA cpd10516_cR\n", + "cpd15311_cA cpd15311_cR\n", + "cpd15604_cA cpd15604_cR\n", + "cpd15355_cA cpd15355_cR\n", + "cpd11494_cA cpd11494_cR\n", + "cpd01914_cA cpd01914_cR\n", + "cpd03491_cA cpd03491_cR\n", + "cpd03492_cA cpd03492_cR\n", + "cpd00448_cA cpd00448_cR\n", + "cpd00146_cA cpd00146_cR\n", + "cpd00157_cA cpd00157_cR\n", + "cpd12370_cA cpd12370_cR\n", + "cpd00045_cA cpd00045_cR\n", + "cpd00978_cA cpd00978_cR\n", + "cpd00358_cA cpd00358_cR\n", + "cpd00890_cA cpd00890_cR\n", + "cpd00120_cA cpd00120_cR\n", + "cpd02884_cA cpd02884_cR\n", + "cpd00482_cA cpd00482_cR\n", + "cpd11586_cA cpd11586_cR\n", + "cpd02431_cA cpd02431_cR\n", + "cpd15238_cA cpd15238_cR\n", + "cpd00133_cA cpd00133_cR\n", + "cpd00218_cA cpd00218_cR\n", + "cpd11310_cA cpd11310_cR\n", + "cpd01017_cA cpd01017_cR\n", + "cpd00090_cA cpd00090_cR\n", + "cpd15344_cA cpd15344_cR\n", + "cpd02678_cA cpd02678_cR\n", + "cpd02394_cA cpd02394_cR\n", + "cpd15692_cA cpd15692_cR\n", + "cpd15698_cA cpd15698_cR\n", + "cpd11593_cA cpd11593_cR\n", + "cpd02230_cA cpd02230_cR\n", + "cpd03119_cA cpd03119_cR\n", + "cpd03584_cA cpd03584_cR\n", + "cpd02187_cA cpd02187_cR\n", + "cpd03572_cA cpd03572_cR\n", + "cpd03593_cA cpd03593_cR\n", + "cpd00251_cA cpd00251_cR\n", + "cpd09844_cA cpd09844_cR\n", + "cpd11574_cA cpd11574_cR\n", + "cpd00235_cA cpd00235_cR\n", + "cpd15313_cA cpd15313_cR\n", + "cpd00334_cA cpd00334_cR\n", + "cpd02849_cA cpd02849_cR\n", + "cpd15170_cA cpd15170_cR\n", + "cpd00800_cA cpd00800_cR\n", + "cpd00764_cA cpd00764_cR\n", + "cpd02701_cA cpd02701_cR\n", + "cpd14545_cA cpd14545_cR\n", + "cpd11825_cA cpd11825_cR\n", + "cpd15726_cA cpd15726_cR\n", + "cpd02642_cA cpd02642_cR\n", + "cpd00956_cA cpd00956_cR\n", + "cpd00363_cA cpd00363_cR\n", + "cpd00891_cA cpd00891_cR\n", + "cpd11538_cA cpd11538_cR\n", + "cpd00738_cA cpd00738_cR\n", + "cpd00149_cA cpd00149_cR\n", + "cpd03426_cA cpd03426_cR\n", + "cpd00305_cA cpd00305_cR\n", + "cpd15701_cA cpd15701_cR\n", + "cpd15677_cA cpd15677_cR\n", + "cpd03646_cA cpd03646_cR\n", + "cpd17564_cA cpd17564_cR\n", + "cpd17566_cA cpd17566_cR\n", + "cpd15371_cA cpd15371_cR\n", + "cpd15572_cA cpd15572_cR\n", + "cpd00142_cA cpd00142_cR\n", + "cpd00780_cA cpd00780_cR\n", + "cpd15717_cA cpd15717_cR\n", + "cpd15723_cA cpd15723_cR\n", + "cpd11206_cA cpd11206_cR\n", + "cpd00386_cA cpd00386_cR\n", + "cpd15555_cA cpd15555_cR\n", + "cpd11509_cA cpd11509_cR\n", + "cpd11510_cA cpd11510_cR\n", + "cpd11473_cA cpd11473_cR\n", + "cpd01882_cA cpd01882_cR\n", + "cpd01966_cA cpd01966_cR\n", + "cpd15543_cA cpd15543_cR\n", + "cpd15536_cA cpd15536_cR\n", + "cpd00179_cA cpd00179_cR\n", + "cpd00931_cA cpd00931_cR\n", + "cpd15359_cA cpd15359_cR\n", + "cpd15361_cA cpd15361_cR\n", + "cpd15752_cA cpd15752_cR\n", + "cpd15770_cA cpd15770_cR\n", + "cpd03560_cA cpd03560_cR\n", + "cpd15321_cA cpd15321_cR\n", + "cpd03120_cA cpd03120_cR\n", + "cpd00911_cA cpd00911_cR\n", + "cpd00111_cA cpd00111_cR\n", + "cpd02886_cA cpd02886_cR\n", + "cpd03443_cA cpd03443_cR\n", + "cpd00238_cA cpd00238_cR\n", + "cpd15705_cA cpd15705_cR\n", + "cpd00644_cA cpd00644_cR\n", + "cpd15400_cA cpd15400_cR\n", + "cpd02740_cA cpd02740_cR\n", + "cpd02546_cA cpd02546_cR\n", + "cpd02904_cA cpd02904_cR\n", + "cpd03423_cA cpd03423_cR\n", + "cpd00446_cA cpd00446_cR\n", + "cpd00426_cA cpd00426_cR\n", + "cpd03117_cA cpd03117_cR\n", + "cpd03608_cA cpd03608_cR\n", + "cpd03422_cA cpd03422_cR\n", + "cpd00830_cA cpd00830_cR\n", + "cpd02820_cA cpd02820_cR\n", + "cpd02698_cA cpd02698_cR\n", + "cpd02724_cA cpd02724_cR\n", + "cpd11530_cA cpd11530_cR\n", + "cpd11531_cA cpd11531_cR\n", + "cpd00196_cA cpd00196_cR\n", + "cpd02524_cA cpd02524_cR\n", + "cpd11461_cA cpd11461_cR\n", + "cpd00510_cA cpd00510_cR\n", + "cpd01242_cA cpd01242_cR\n", + "cpd00166_cA cpd00166_cR\n", + "cpd15316_cA cpd15316_cR\n", + "cpd17567_cA cpd17567_cR\n", + "cpd12005_cA cpd12005_cR\n", + "cpd11830_cA cpd11830_cR\n", + "cpd11621_cA cpd11621_cR\n", + "cpd11620_cA cpd11620_cR\n", + "cpd15697_cA cpd15697_cR\n", + "cpd00540_cA cpd00540_cR\n", + "cpd00141_cA cpd00141_cR\n", + "cpd11430_cA cpd11430_cR\n", + "cpd11435_cA cpd11435_cR\n", + "cpd02591_cA cpd02591_cR\n", + "cpd15542_cA cpd15542_cR\n", + "cpd15535_cA cpd15535_cR\n", + "cpd02826_cA cpd02826_cR\n", + "cpd02140_cA cpd02140_cR\n", + "cpd15318_cA cpd15318_cR\n", + "cpd01749_cA cpd01749_cR\n", + "cpd11572_cA cpd11572_cR\n", + "cpd15363_cA cpd15363_cR\n", + "cpd15718_cA cpd15718_cR\n", + "cpd15724_cA cpd15724_cR\n", + "cpd01217_cA cpd01217_cR\n", + "cpd00299_cA cpd00299_cR\n", + "cpd15683_cA cpd15683_cR\n", + "cpd15689_cA cpd15689_cR\n", + "cpd00946_cA cpd00946_cR\n", + "cpd00965_cA cpd00965_cR\n", + "cpd00531_cA cpd00531_cR\n", + "cpd15558_cA cpd15558_cR\n", + "cpd00731_cA cpd00731_cR\n", + "cpd03490_cA cpd03490_cR\n", + "cpd01620_cA cpd01620_cR\n", + "cpd00209_cA cpd00209_cR\n", + "cpd08210_cA cpd08210_cR\n", + "cpd03736_cA cpd03736_cR\n", + "cpd03586_cA cpd03586_cR\n", + "cpd03122_cA cpd03122_cR\n", + "cpd03123_cA cpd03123_cR\n", + "cpd00727_cA cpd00727_cR\n", + "cpd10515_cA cpd10515_cR\n", + "cpd01157_cA cpd01157_cR\n", + "cpd15534_cA cpd15534_cR\n", + "cpd03897_cA cpd03897_cR\n", + "cpd00294_cA cpd00294_cR\n", + "cpd00079_cA cpd00079_cR\n", + "cpd15294_cA cpd15294_cR\n", + "cpd01570_cA cpd01570_cR\n", + "cpd00988_cA cpd00988_cR\n", + "cpd03444_cA cpd03444_cR\n", + "cpd12237_cA cpd12237_cR\n", + "cpd14507_cA cpd14507_cR\n", + "cpd03702_cA cpd03702_cR\n", + "cpd03701_cA cpd03701_cR\n", + "cpd02255_cA cpd02255_cR\n", + "cpd00434_cA cpd00434_cR\n", + "cpd11431_cA cpd11431_cR\n", + "cpd11432_cA cpd11432_cR\n", + "cpd11584_cA cpd11584_cR\n", + "cpd03125_cA cpd03125_cR\n", + "cpd02069_cA cpd02069_cR\n", + "cpd15696_cA cpd15696_cR\n", + "cpd12225_cA cpd12225_cR\n", + "cpd03585_cA cpd03585_cR\n", + "cpd00027_cA cpd00027_cR\n", + "cpd00523_cA cpd00523_cR\n", + "cpd11591_cA cpd11591_cR\n", + "cpd00200_cA cpd00200_cR\n", + "cpd11477_cA cpd11477_cR\n", + "cpd11497_cA cpd11497_cR\n", + "cpd11498_cA cpd11498_cR\n", + "cpd00327_cA cpd00327_cR\n", + "cpd00254_cA cpd00254_cR\n", + "cpd15315_cA cpd15315_cR\n", + "cpd00438_cA cpd00438_cR\n", + "cpd00408_cA cpd00408_cR\n", + "cpd00712_cA cpd00712_cR\n", + "cpd00331_cA cpd00331_cR\n", + "cpd03671_cA cpd03671_cR\n", + "cpd02611_cA cpd02611_cR\n", + "cpd01997_cA cpd01997_cR\n", + "cpd00837_cA cpd00837_cR\n", + "cpd15748_cA cpd15748_cR\n", + "cpd15766_cA cpd15766_cR\n", + "cpd11436_cA cpd11436_cR\n", + "cpd11437_cA cpd11437_cR\n", + "cpd01311_cA cpd01311_cR\n", + "cpd00550_cA cpd00550_cR\n", + "cpd00481_cA cpd00481_cR\n", + "cpd15554_cA cpd15554_cR\n", + "cpd02113_cA cpd02113_cR\n", + "cpd15319_cA cpd15319_cR\n", + "cpd00222_cA cpd00222_cR\n", + "cpd15754_cA cpd15754_cR\n", + "cpd15772_cA cpd15772_cR\n", + "cpd00274_cA cpd00274_cR\n", + "cpd15362_cA cpd15362_cR\n", + "cpd15508_cA cpd15508_cR\n", + "cpd15507_cA cpd15507_cR\n", + "cpd15514_cA cpd15514_cR\n", + "cpd15306_cA cpd15306_cR\n", + "cpd00330_cA cpd00330_cR\n", + "cpd00393_cA cpd00393_cR\n", + "cpd02569_cA cpd02569_cR\n", + "cpd02799_cA cpd02799_cR\n", + "cpd02597_cA cpd02597_cR\n", + "cpd00412_cA cpd00412_cR\n", + "cpd11590_cA cpd11590_cR\n", + "cpd03445_cA cpd03445_cR\n", + "cpd00763_cA cpd00763_cR\n", + "cpd00858_cA cpd00858_cR\n", + "cpd00461_cA cpd00461_cR\n", + "cpd02258_cA cpd02258_cR\n", + "cpd00925_cA cpd00925_cR\n", + "cpd08625_cA cpd08625_cR\n", + "cpd09027_cA cpd09027_cR\n", + "cpd00283_cA cpd00283_cR\n", + "cpd03496_cA cpd03496_cR\n", + "cpd03282_cA cpd03282_cR\n", + "cpd00186_cA cpd00186_cR\n", + "cpd02968_cA cpd02968_cR\n", + "cpd15666_cA cpd15666_cR\n", + "cpd15665_cA cpd15665_cR\n", + "cpd15340_cA cpd15340_cR\n", + "cpd11462_cA cpd11462_cR\n", + "cpd00620_cA cpd00620_cR\n", + "cpd00977_cA cpd00977_cR\n", + "cpd03704_cA cpd03704_cR\n", + "cpd00976_cA cpd00976_cR\n", + "cpd01504_cA cpd01504_cR\n", + "cpd15326_cA cpd15326_cR\n", + "cpd02135_cA cpd02135_cR\n", + "cpd00646_cA cpd00646_cR\n", + "cpd15695_cA cpd15695_cR\n", + "cpd15368_cA cpd15368_cR\n", + "cpd15570_cA cpd15570_cR\n", + "cpd03279_cA cpd03279_cR\n", + "cpd00447_cA cpd00447_cR\n", + "cpd00782_cA cpd00782_cR\n", + "cpd01107_cA cpd01107_cR\n", + "cpd15268_cA cpd15268_cR\n", + "cpd02465_cA cpd02465_cR\n", + "cpd00371_cA cpd00371_cR\n", + "cpd03559_cA cpd03559_cR\n", + "cpd15747_cA cpd15747_cR\n", + "cpd15765_cA cpd15765_cR\n", + "cpd12072_cA cpd12072_cR\n", + "cpd12139_cA cpd12139_cR\n", + "cpd00395_cA cpd00395_cR\n", + "cpd03285_cA cpd03285_cR\n", + "cpd00424_cA cpd00424_cR\n", + "cpd15725_cA cpd15725_cR\n", + "cpd17565_cA cpd17565_cR\n", + "cpd15324_cA cpd15324_cR\n", + "cpd15703_cA cpd15703_cR\n", + "cpd01476_cA cpd01476_cR\n", + "cpd00028_cA cpd00028_cR\n", + "cpd00668_cA cpd00668_cR\n", + "cpd02182_cA cpd02182_cR\n", + "cpd02720_cA cpd02720_cR\n", + "cpd11581_cA cpd11581_cR\n", + "cpd15751_cA cpd15751_cR\n", + "cpd15769_cA cpd15769_cR\n", + "cpd15274_cA cpd15274_cR\n", + "cpd15307_cA cpd15307_cR\n", + "cpd02183_cA cpd02183_cR\n", + "cpd06227_cA cpd06227_cR\n", + "cpd03446_cA cpd03446_cR\n", + "cpd03606_cA cpd03606_cR\n", + "cpd15310_cA cpd15310_cR\n", + "cpd17568_cA cpd17568_cR\n", + "cpd22027_cA cpd22027_cR\n", + "cpd22022_cA cpd22022_cR\n", + "cpd36025_cA cpd36025_cR\n", + "cpd19505_cA cpd19505_cR\n", + "cpd28259_cA cpd28259_cR\n", + "cpd21479_cA cpd21479_cR\n", + "cpd28253_cA cpd28253_cR\n", + "cpd28070_cA cpd28070_cR\n", + "cpd33817_cA cpd33817_cR\n", + "cpd27744_cA cpd27744_cR\n", + "cpd12489_cA cpd12489_cR\n", + "cpd19503_cA cpd19503_cR\n", + "cpd36635_cA cpd36635_cR\n", + "cpd22028_cA cpd22028_cR\n", + "cpd22065_cA cpd22065_cR\n", + "cpd21480_cA cpd21480_cR\n", + "cpd19047_cA cpd19047_cR\n", + "cpd00635_cA cpd00635_cR\n", + "cpd19019_cA cpd19019_cR\n", + "cpd11209_cA cpd11209_cR\n", + "cpd19001_cA cpd19001_cR\n", + "cpd19006_cA cpd19006_cR\n", + "cpd11313_cA cpd11313_cR\n", + "cpd11312_cA cpd11312_cR\n", + "cpd18082_cA cpd18082_cR\n", + "cpd18081_cA cpd18081_cR\n", + "cpd01329_cA cpd01329_cR\n", + "cpd28260_cA cpd28260_cR\n", + "cpd03520_cA cpd03520_cR\n", + "cpd27484_cA cpd27484_cR\n", + "cpd26672_cA cpd26672_cR\n", + "cpd27021_cA cpd27021_cR\n", + "cpd21488_cA cpd21488_cR\n", + "cpd21090_cA cpd21090_cR\n", + "cpd33647_cA cpd33647_cR\n", + "cpd35194_cA cpd35194_cR\n", + "cpd15807_cA cpd15807_cR\n", + "cpd21087_cA cpd21087_cR\n", + "cpd27020_cA cpd27020_cR\n", + "cpd01046_cA cpd01046_cR\n", + "cpd21167_cA cpd21167_cR\n", + "cpd02074_cA cpd02074_cR\n", + "cpd01029_cA cpd01029_cR\n", + "cpd14718_cA cpd14718_cR\n", + "cpd27735_cA cpd27735_cR\n", + "cpd28060_cA cpd28060_cR\n", + "cpd27758_cA cpd27758_cR\n", + "cpd28083_cA cpd28083_cR\n", + "cpd27144_cA cpd27144_cR\n", + "cpd27713_cA cpd27713_cR\n", + "cpd00108_cA cpd00108_cR\n", + "cpd19030_cA cpd19030_cR\n", + "cpd21481_cA cpd21481_cR\n", + "cpd21472_cA cpd21472_cR\n", + "cpd21088_cA cpd21088_cR\n", + "cpd27180_cA cpd27180_cR\n", + "cpd00204_cA cpd00204_cR\n", + "cpd00034_cA cpd00034_cR\n", + "cpd28205_cA cpd28205_cR\n", + "cpd14548_cA cpd14548_cR\n", + "cpd12712_cA cpd12712_cR\n", + "cpd12711_cA cpd12711_cR\n", + "cpd01414_cA cpd01414_cR\n", + "cpd01567_cA cpd01567_cR\n", + "cpd00528_cA cpd00528_cR\n", + "cpd01550_cA cpd01550_cR\n", + "cpd00922_cA cpd00922_cR\n", + "cpd02414_cA cpd02414_cR\n", + "cpd02692_cA cpd02692_cR\n", + "cpd02211_cA cpd02211_cR\n", + "cpd00339_cA cpd00339_cR\n", + "cpd00418_cA cpd00418_cR\n", + "cpd00659_cA cpd00659_cR\n", + "cpd00063_cA cpd00063_cR\n", + "cpd00099_cA cpd00099_cR\n", + "cpd00030_cA cpd00030_cR\n", + "cpd00557_cA cpd00557_cR\n", + "cpd11416_cA cpd11416_cR\n", + "cpd02295_cA cpd02295_cR\n", + "cpd02021_cA cpd02021_cR\n", + "cpd16335_cA cpd16335_cR\n", + "cpd03451_cA cpd03451_cR\n", + "cpd01772_cA cpd01772_cR\n" + ] + } + ], + "source": [ + "test_reactions = []\n", + "for m in model_comm.metabolites:\n", + " if m.id.endswith('cA'):\n", + " other = m.id[:-1] + 'R'\n", + " if other in model_comm.metabolites:\n", + " m_other = model_comm.metabolites.get_by_id(other)\n", + " import cobra.core.reaction\n", + " rxn_test = Reaction(f'bridge_{m.id}', f'bridge {m.name}', 'test', 0, 0)\n", + " rxn_test.add_metabolites({\n", + " m: -1,\n", + " m_other: 1\n", + " })\n", + " test_reactions.append(rxn_test)\n", + " print(m.id, m_other.id)\n", + "model_comm.add_reactions(test_reactions)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "af4f9822-c052-46ba-896a-befc06505dce", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "np.float64(0.2601030816317411)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "flux_bio1_wt = solution_comm_wt.fluxes['bio1']\n", + "flux_bio1_wt" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "a07c60ba-bca1-4136-b7c4-90450234a1e8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Reaction identifierbridge_cpd01772_cA
Namebridge Succinylbenzoate [A]
Memory address0x11bec1b10
Stoichiometry\n", + "

cpd01772_cA --> cpd01772_cR

\n", + "

Succinylbenzoate [A] --> Succinylbenzoate [R]

\n", + "
GPR
Lower bound0
Upper bound0
\n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rxn_test" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "ad1e6396-a8a0-4aca-a24f-9e3d94961674", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|████████████████████████████████████████████████████████████████████████████████████████| 1013/1013 [52:09<00:00, 3.09s/it]\n" + ] + } + ], + "source": [ + "from tqdm import tqdm\n", + "with open('ex_test.tsv', 'w') as fh:\n", + " for t in tqdm(test_reactions):\n", + " rxn_test = model_comm.reactions.get_by_id(t.id)\n", + " rxn_test.lower_bound = -1000\n", + " rxn_test.upper_bound = 1000\n", + " m = list(rxn_test.metabolites)[0]\n", + " solution_comm_test = cobra.flux_analysis.pfba(model_comm)\n", + " flux_bio1 = solution_comm_test.fluxes['bio1']\n", + " row = [rxn_test.id, rxn_test.name, m.name, m.id, m.formula, m.charge, m.elements.get('C', 0), \n", + " solution_comm_test[rxn_test.id], flux_bio1, flux_bio1_wt - flux_bio1]\n", + " #print(rxn_test.name, solution_comm_test[rxn_test.id], flux_bio1, flux_bio1_wt - flux_bio1)\n", + " fh.write('\\t'.join([str(x) for x in row]) + '\\n')\n", + " rxn_test.lower_bound = 0\n", + " rxn_test.upper_bound = 0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a4da58ca-d99e-474e-b4f6-deebfde1dbd5", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "1dd7e52b-a72c-4aaa-ad46-90685c0129e0", + "metadata": {}, + "outputs": [], + "source": [ + "import cobra.core.reaction\n", + "rxn = Reaction('bridge_pyr', 'bridge pyr', 'test', -1000, 1000)\n", + "rxn.add_metabolites({\n", + " model_comm.metabolites.cpd00020_cA: -1,\n", + " model_comm.metabolites.cpd00020_cR: 1\n", + "})\n", + "model_comm.add_reactions([rxn])" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "9848231f-93cd-4372-b6d4-14386a3f347b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Reaction identifierrxn05559_cR
Nameformate transport in via proton symport [R]
Memory address0x126e2bb80
Stoichiometry\n", + "

cpd00047_e0 + cpd00067_e0 <=> cpd00047_cR + cpd00067_cR

\n", + "

Formate [e0] + H+ [e0] <=> Formate [R] + H+ [R]

\n", + "
GPR
Lower bound-1000
Upper bound1000
\n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_comm.reactions.rxn05559_cR.lower_bound = -1000\n", + "model_comm.reactions.rxn05559_cR.upper_bound = 1000\n", + "model_comm.reactions.rxn05559_cR" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "0ba61f6b-85ac-4a74-ab49-88ce27f3ece4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-1.0125233984581428e-13 EX_cpd00075_e0 Nitrite [e0]\n", + "\t 12.0 rxn09004_cA\n", + "\t 12.000000000000101 dnr00002_cR\n", + "-2.081427266265087 EX_cpd00013_e0 NH3 [e0]\n", + "\t 0.8325709065060323 rxn05466_cA\n", + "\t 1.248856359759055 rxn05466_cR\n", + "-12.0 EX_cpd00209_e0 Nitrate [e0]\n", + "\t 12.0 rxn09004_cA\n", + "6.000000000000051 EX_cpd00528_e0 N2 [e0]\n", + "\t 6.000000000000051 dnr00004_cR\n", + "-0.0004161755070368777 EX_cpd00149_e0 Co2+ [e0]\n", + "\t -0.0002497053042221266 rxn08241_cR\n", + "\t -0.0001664702028147511 rxn08241_cA\n", + "-12.574919157734755 EX_cpd00029_e0 Acetate [e0]\n", + "\t 5.525709117571984 rxn05488_cR\n", + "\t 7.0492100401627695 rxn05488_cA\n", + "15.90602401068816 EX_cpd00011_e0 CO2 [e0]\n", + "\t -5.01761307522574 rxn05467_cA\n", + "\t -10.88841093546242 rxn05467_cR\n", + "0.0001664702028147511 EX_cpd01981_e0 5-Methylthio-D-ribose [e0]\n", + "\t -0.0001664702028147511 rxn05481_cA\n" + ] + } + ], + "source": [ + "for ex in model_comm.exchanges:\n", + " if ex.id not in ignore:\n", + " v = solution_comm_wt.fluxes[ex.id]\n", + " if v != 0:\n", + " m = list(ex.metabolites)[0]\n", + " print(v, ex.id, m.name)\n", + " for rxn in m.reactions:\n", + " rxn_v = solution_comm_wt.fluxes[rxn.id]\n", + " if rxn_v != 0 and rxn != ex:\n", + " print('\\t', rxn_v, rxn.id)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "9a8501ad-bdf4-4a0c-83fc-835ea1376b40", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Reaction identifierrxn05559_cR
Nameformate transport in via proton symport [R]
Memory address0x126e2bb80
Stoichiometry\n", + "

cpd00047_e0 + cpd00067_e0 <=> cpd00047_cR + cpd00067_cR

\n", + "

Formate [e0] + H+ [e0] <=> Formate [R] + H+ [R]

\n", + "
GPR
Lower bound-1000.0
Upper bound1000.0
\n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "467061d0-71ad-40e6-bcdd-203221a79cb3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

Objective

1.0 bio1 = 0.26010308163174145

Uptake

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MetaboliteReactionFluxC-NumberC-Flux
cpd00009_e0EX_cpd00009_e00.171900.00%
cpd00013_e0EX_cpd00013_e02.08100.00%
cpd00029_e0EX_cpd00029_e012.57299.98%
cpd00030_e0EX_cpd00030_e00.000416200.00%
cpd00034_e0EX_cpd00034_e00.000416200.00%
cpd00048_e0EX_cpd00048_e00.0534500.00%
cpd00058_e0EX_cpd00058_e00.000416200.00%
cpd00063_e0EX_cpd00063_e00.000416200.00%
cpd00067_e0EX_cpd00067_e022.8600.00%
cpd00099_e0EX_cpd00099_e00.000416200.00%
cpd00149_e0EX_cpd00149_e00.000416200.00%
cpd00205_e0EX_cpd00205_e00.000416200.00%
cpd00209_e0EX_cpd00209_e01200.00%
cpd00254_e0EX_cpd00254_e00.000416200.00%
cpd00305_e0EX_cpd00305_e00.0004162120.02%
cpd10515_e0EX_cpd10515_e00.00166500.00%

Secretion

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MetaboliteReactionFluxC-NumberC-Flux
cpd00001_e0EX_cpd00001_e0-27.100.00%
cpd00011_e0EX_cpd00011_e0-15.91199.94%
cpd00528_e0EX_cpd00528_e0-600.00%
cpd01981_e0EX_cpd01981_e0-0.000166560.01%
cpd03091_cASK_cpd03091_cA-0.0003329100.02%
cpd03091_cRSK_cpd03091_cR-0.0004994100.03%
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "524d4803-4535-4c8e-8317-db286d412d91", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "COBRA cplex", + "language": "python", + "name": "modelseed_cplex" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Metabolic_modeling/export/syncom_final.tsv b/Metabolic_modeling/export/syncom_final.tsv new file mode 100644 index 0000000..f64b68d --- /dev/null +++ b/Metabolic_modeling/export/syncom_final.tsv @@ -0,0 +1,143 @@ + acetate (total) no3 (total) no2 (total) 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0 0.0 0 0.0 0 0 140 0.0 +141 0.00020996249999999947 0.00033594 0.0 0 0.0 -0.00016796999999999835 0 0 0 0 0 141 -7.829193352812257e-05 -0.00014519773411249195 0.00014519773411249195 0.0 -0.00016796999999999835 0.00016796999999999835 0.0 0 0.0 0 0 141 0.0 -0.00013167056647187688 -0.00019074226588750807 -0.000145197734112492 0.0 0.00016797000000000003 0 0.0 0 0.0 0 0 141 0.0 diff --git a/Metabolic_modeling/isolates.ipynb b/Metabolic_modeling/isolates.ipynb index 853e66d..4a6cee2 100644 --- a/Metabolic_modeling/isolates.ipynb +++ b/Metabolic_modeling/isolates.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "id": "5a2d8bad-ae56-4b7a-be27-49d97332d424", "metadata": { "tags": [] @@ -24,7 +24,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "id": "56986bba-7bf8-41b2-ae08-aac532e2061b", "metadata": { "tags": [] @@ -46,7 +46,235 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, + "id": "0d89c4b4-0903-45d9-9ee0-84c8e29b0c8f", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "model_rhoda.reactions.rxn08655_c0.upper_bound = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "dd73f211-6ea6-4535-9b7a-2767218534ae", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "model_acido.reactions.rxn08655_c0.upper_bound = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "c5a631aa-bf18-4e8b-9871-bbe9828398dd", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "

Objective

1.0 bio1 = 0.11727915537207065

Uptake

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
MetaboliteReactionFluxC-NumberC-Flux
cpd00009_e0EX_cpd00009_e00.0775200.00%
cpd00013_e0EX_cpd00013_e00.938500.00%
cpd00029_e0EX_cpd00029_e04.789299.98%
cpd00030_e0EX_cpd00030_e00.000187700.00%
cpd00034_e0EX_cpd00034_e00.000187700.00%
cpd00048_e0EX_cpd00048_e00.0242100.00%
cpd00058_e0EX_cpd00058_e00.000187700.00%
cpd00063_e0EX_cpd00063_e00.000187700.00%
cpd00067_e0EX_cpd00067_e04.01300.00%
cpd00099_e0EX_cpd00099_e00.000187700.00%
cpd00149_e0EX_cpd00149_e00.000187700.00%
cpd00205_e0EX_cpd00205_e00.000187700.00%
cpd00209_e0EX_cpd00209_e01000.00%
cpd00254_e0EX_cpd00254_e00.000187700.00%
cpd00305_e0EX_cpd00305_e00.0001877120.02%
cpd10515_e0EX_cpd10515_e00.000750600.00%

Secretion

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MetaboliteReactionFluxC-NumberC-Flux
cpd00001_e0EX_cpd00001_e0-7.74900.00%
cpd00011_e0EX_cpd00011_e0-5.409199.91%
cpd00075_e0EX_cpd00075_e0-1000.00%
cpd01981_e0EX_cpd01981_e0-0.000187760.02%
cpd03091_c0SK_cpd03091_c0-0.0003753100.07%
cpd11416_c0SK_cpd11416_c0-0.117300.00%
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_acido.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, "id": "cfc34664-e7f1-426b-9147-375479dbd0e0", "metadata": { "tags": [] @@ -78,7 +306,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "3bf6f214-6fde-40b0-a2f2-b86cae11659a", "metadata": { "tags": [] @@ -91,20 +319,22 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "id": "c07bebac-b62e-4641-9c85-1ebd9979310f", "metadata": { "tags": [] }, "outputs": [], "source": [ + "# FADH2 [c0] + Ubiquinone-8 [c0] --> FAD [c0] + H+ [c0] + Ubiquinol-8 [c0]\n", + "# block FAD\n", "model_acido.reactions.rxn10126_c0.upper_bound = 0\n", "model_rhoda.reactions.rxn10126_c0.upper_bound = 0" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "id": "8de3a3e6-d168-4fc6-b6fc-7f15ffc83dfd", "metadata": { "tags": [] @@ -117,7 +347,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 7, "id": "347e14e1-027a-440a-a229-2908f7b60a27", "metadata": { "tags": [] @@ -140,46 +370,423 @@ "}" ] }, + { + "cell_type": "markdown", + "id": "182ba19c-06b1-455c-a422-1687c0ba563e", + "metadata": { + "jp-MarkdownHeadingCollapsed": true, + "tags": [] + }, + "source": [ + "# 3H11" + ] + }, { "cell_type": "code", - "execution_count": 9, - "id": "a340db4e-4ab3-4bcc-9eb2-350eaba52ab3", + "execution_count": 70, + "id": "76b3aa3e-df7b-4740-a2b6-ba67b5329b5d", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import cobra\n", + "%run plots.py\n", + "\n", + "plot_fit = PlotFit(model_acido, df_growth_data_3h11.to_dict(), exp_data_3h11['OD_coeff'], cobra)\n", + "#plot_fit.intervals = 1" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "45071dff-f217-4833-b1a8-6314b90489fa", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 1\n", + "time 0 23\n", + "Acetate 18.0313603 - 17.8153092 (-0.009393526086956427/time)\n", + "NO3 9.14450462 - 7.89058453 (-0.05451826478260867/time)\n", + "OD600 0.01013 - 0.03307 (0.0009973913043478263/time, Biomass 5.984347826086957e-06/time) \n", + "error biomass: 0.0 AC 8.377585549782597e-05 NO3 0.00291744891778715\n", + "error biomass: 0.0 AC 4.286198126811034e-18 NO3 0.0003028414818080274\n", + "0.04233109075028085\n", + "\n", + "1 2\n", + "time 23 42\n", + "Acetate 17.8153092 - 16.0726961 (-0.09171647894736841/time)\n", + "NO3 7.89058453 - 1.35000045 (-0.3442412673684211/time)\n", + "OD600 0.03307 - 0.06107 (0.0014736842105263156/time, Biomass 8.842105263157893e-06/time) \n", + "error biomass: 0.0 AC 0.008346812251707709 NO3 0.11798896756119623\n", + "error biomass: 0.0 AC 3.009022641733296e-05 NO3 0.0\n", + "0.39716200220923764\n", + "\n", + "2 3\n", + "time 42 53\n", + "Acetate 16.0726961 - 15.9261701 (-0.01332054545454559/time)\n", + "NO3 1.35000045 - 0.12091592 (-0.11173495727272727/time)\n", + "OD600 0.06107 - 0.07075 (0.0008799999999999995/time, Biomass 5.279999999999997e-06/time) \n", + "error biomass: 0.0 AC 0.000171826323308037 NO3 0.012385358775833365\n", + "error biomass: 0.0 AC 8.3415402669387935e-19 NO3 0.0034640789795323287\n", + "0.06062553509350305\n", + "\n", + "3 4\n", + "4 5\n" + ] + } + ], + "source": [ + "plot_fit.fit()" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "ea7cd946-5b60-4d49-a87a-de3ab8f5e59c", "metadata": { "tags": [] }, "outputs": [], "source": [ - "_od_to_biomass_coeff = exp_data_r12['OD_coeff']\n", - "_model = model_rhoda\n", - "_data = df_growth_data_r12.to_dict()" + "_data_pred = plot_fit.build_plot_data(plot_fit.data['OD600'][0], \n", + " plot_fit.data['Acetate'][0], \n", + " plot_fit.data['NO3'][0])\n", + "_data_exp = {k: list(v.values()) for k, v in plot_fit.data.items()}\n", + "_data_exp['biomass'] = [x * plot_fit.od_to_biomass_coeff for x in _data_exp['OD600']]" ] }, { "cell_type": "code", - "execution_count": 12, - "id": "663e0d21-6e76-40a0-a966-9e993193dd7e", + "execution_count": 73, + "id": "c41c6941-3f8f-4594-8947-f5a3a51cbb39", "metadata": { "tags": [] }, "outputs": [ { "data": { + "image/png": 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"text/plain": [ - "(11, 6)" + "
" ] }, - "execution_count": 12, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "len(df_growth_data_r12), len(_data)" + "plot_fit.plot(_data_pred, _data_exp)" + ] + }, + { + "cell_type": "markdown", + "id": "0b50194b-d66e-427d-b2b5-effdeed795a4", + "metadata": { + "tags": [] + }, + "source": [ + "# R12" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 27, + "id": "7c9ffc2f-7566-4839-9bce-fbb29f4cb427", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import cobra\n", + "%run plots.py\n", + "\n", + "plot_fit = PlotFit(model_rhoda, df_growth_data_r12.to_dict(), exp_data_r12['OD_coeff'], cobra)\n", + "#plot_fit.intervals = 1\n", + "# Allow N2\n", + "model_rhoda.reactions.EX_cpd00528_e0.upper_bound = 1000\n", + "model_rhoda.reactions.EX_cpd00528_e0.upper_bound = 0\n", + "#Glycolate [c0] + Ubiquinone-8 [c0] --> Glyoxalate [c0] + Ubiquinol-8 [c0]\n", + "model_rhoda.reactions.rxn08655_c0.bounds = (0, 0)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "d8316062-deef-4a05-ba7c-5327e54659ca", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 1\n", + "time 0 23\n", + "Acetate 18.0313603 - 17.790639 (-0.010466143478260895/time)\n", + "NO3 9.14450462 - 8.96789616 (-0.007678628695652124/time)\n", + "OD600 0.01093 - 0.01587 (0.0002147826086956521/time, Biomass 1.7182608695652168e-06/time) \n", + "error biomass: 0.0 AC 0.0001077691305532706 NO3 5.5382567069382966e-05\n", + "error biomass: 0.0 AC 4.356616654228105e-05 NO3 0.0\n", + "0.009921143008801432 0.00017319182558308863\n", + "\n", + "1 2\n", + "2 3\n", + "time 42 71\n", + "Acetate 18.4275787 - 18.2586252 (-0.005825982758620712/time)\n", + "NO3 9.53193944 - 8.64944902 (-0.03043070413793103/time)\n", + "OD600 0.0203 - 0.04493 (0.0008493103448275862/time, Biomass 6.79448275862069e-06/time) \n", + "error biomass: 0.0 AC 2.9625356125990024e-05 NO3 0.0008653845055107048\n", + "error biomass: 0.0 AC 0.0 NO3 5.849321214078975e-05\n", + "0.014284726864445596 0.0004756466695581015\n", + "\n", + "3 4\n", + "4 5\n", + "time 77 95\n", + "Acetate 18.5374732 - 17.3219052 (-0.06753155555555562/time)\n", + "NO3 8.66269466 - 7.07597799 (-0.08815092611111108/time)\n", + "OD600 0.062467 - 0.106167 (0.0024277777777777774/time, Biomass 1.942222222222222e-05/time) \n", + "error biomass: 0.0 AC 0.004413544739042292 NO3 0.007267553921446157\n", + "error biomass: 0.0 AC 0.0005329173498725486 NO3 0.0\n", + "0.1137964492631778 0.00017067511638526011\n", + "\n", + "5 6\n", + "time 95 119\n", + "Acetate 17.3219052 - 16.7230922 (-0.02495054166666666/time)\n", + "NO3 7.07597799 - 5.45062822 (-0.06772290708333335/time)\n", + "OD600 0.106167 - 0.17189 (0.0027384583333333328/time, Biomass 2.1907666666666664e-05/time) \n", + "error biomass: 4.799458587777776e-10 AC 0.000622529529460069 NO3 0.004586392143817803\n", + "error biomass: 0.0 AC 1.676040534102992e-31 NO3 0.0\n", + "0.06223890820573366 0.0003519931068560816\n", + "\n", + "6 7\n", + "time 119 142\n", + "Acetate 16.7230922 - 16.0084041 (-0.031073395652173916/time)\n", + "NO3 5.45062822 - 4.37442039 (-0.04679164478260867/time)\n", + "OD600 0.17189 - 0.2235 (0.0022439130434782615/time, Biomass 1.7951304347826094e-05/time) \n", + "error biomass: 0.0 AC 0.0009035698004086534 NO3 0.0019457247594860318\n", + "error biomass: 0.0 AC 5.3776699027080755e-05 NO3 0.0\n", + "0.05965292173415381 0.00030092917205006264\n", + "\n", + "7 8\n", + "time 142 165\n", + "Acetate 16.0084041 - 15.139714 (-0.0377691347826087/time)\n", + "NO3 4.37442039 - 3.32304813 (-0.04571183739130435/time)\n", + "OD600 0.2235 - 0.289167 (0.002855086956521739/time, Biomass 2.2840695652173915e-05/time) \n", + "error biomass: 5.216973778752363e-10 AC 0.0014265075422268626 NO3 0.00208957207768905\n", + "error biomass: 0.0 AC 0.0002095218954546582 NO3 0.0\n", + "0.05775536224100605 0.00039547316068874245\n", + "\n", + "8 9\n", + "time 165 216\n", + "Acetate 15.139714 - 14.2351401 (-0.017736743137254884/time)\n", + "NO3 3.32304813 - 1.84560795 (-0.02896941529411765/time)\n", + "OD600 0.289167 - 0.3683 (0.0015516274509803924/time, Biomass 1.241301960784314e-05/time) \n", + "error biomass: 0.0 AC 0.0002902573831828362 NO3 0.0007354041353702968\n", + "error biomass: 0.0 AC 9.073399862282777e-06 NO3 0.0\n", + "0.03680288964199798 0.00033728383093260974\n", + "\n", + "9 10\n", + "time 216 336\n", + "Acetate 14.2351401 - 12.6173731 (-0.013481391666666672/time)\n", + "NO3 1.84560795 - 0.1104298 (-0.014459817916666668/time)\n", + "OD600 0.3683 - 0.41167 (0.00036141666666666635/time, Biomass 2.891333333333331e-06/time) \n", + "error biomass: 0.0 AC 0.00017795977555377476 NO3 0.00019776636154468055\n", + "error biomass: 0.0 AC 3.851949691575466e-05 NO3 0.0\n", + "0.01871313077610352 0.00015450826309756433\n", + "\n" + ] + } + ], + "source": [ + "plot_fit.fit()\n", + "_data_pred = plot_fit.build_plot_data(plot_fit.data['OD600'][0], \n", + " plot_fit.data['Acetate'][0], \n", + " plot_fit.data['NO3'][0])\n", + "_data_exp = {k: list(v.values()) for k, v in plot_fit.data.items()}\n", + "_data_exp['biomass'] = [x * plot_fit.od_to_biomass_coeff for x in _data_exp['OD600']]" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "6c3a3bc3-2d94-42df-b6ac-212e7632a4ba", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_fit.plot(_data_pred, _data_exp)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f36e9fdf-25e8-4f2a-bf37-16308f1bbcbf", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "87c11b89-0991-48e1-9926-bd95686c7b24", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "18d9f893-f74c-4a75-8053-33703cf4158a", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "a340db4e-4ab3-4bcc-9eb2-350eaba52ab3", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import cobra\n", + "%run plots.py\n", + "\n", + "plot_fit = PlotFit(model_rhoda, df_growth_data_r12.to_dict(), exp_data_r12['OD_coeff'], cobra)\n", + "#plot_fit.intervals = 1\n", + "\n", + "model_rhoda.reactions.EX_cpd00528_e0.upper_bound = 0 # Block N2" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "663e0d21-6e76-40a0-a966-9e993193dd7e", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 1\n", + "time 0 23\n", + "Acetate 18.0313603 - 17.790639 (-0.010466143478260895/time)\n", + "NO3 9.14450462 - 8.96789616 (-0.007678628695652124/time)\n", + "OD600 0.01093 - 0.01587 (0.0002147826086956521/time, Biomass 1.7182608695652168e-06/time) \n", + "error biomass: 0.0 AC 0.00010789504881408965 NO3 5.551368766442613e-05\n", + "error biomass: 0.0 AC 4.356926522891249e-05 NO3 0.0\n", + "0.009921323601988446\n", + "\n", + "1 2\n", + "2 3\n", + "time 42 71\n", + "Acetate 18.4275787 - 18.2586252 (-0.005825982758620712/time)\n", + "NO3 9.53193944 - 8.64944902 (-0.03043070413793103/time)\n", + "OD600 0.0203 - 0.04493 (0.0008493103448275862/time, Biomass 6.79448275862069e-06/time) \n", + "error biomass: 0.0 AC 2.9624862085442356e-05 NO3 0.0008653757437553895\n", + "error biomass: 0.0 AC 5.058575369554599e-33 NO3 5.84612629459266e-05\n", + "0.01428735419285207\n", + "\n", + "3 4\n", + "4 5\n", + "time 77 95\n", + "Acetate 18.5374732 - 17.3219052 (-0.06753155555555562/time)\n", + "NO3 8.66269466 - 7.07597799 (-0.08815092611111108/time)\n", + "OD600 0.062467 - 0.106167 (0.0024277777777777774/time, Biomass 1.942222222222222e-05/time) \n", + "error biomass: 0.0 AC 0.004413682048533053 NO3 0.007267829530877413\n", + "error biomass: 0.0 AC 0.0005328253476123158 NO3 0.0\n", + "0.1137932650707752\n", + "\n", + "5 6\n", + "time 95 119\n", + "Acetate 17.3219052 - 16.7230922 (-0.02495054166666666/time)\n", + "NO3 7.07597799 - 5.45062822 (-0.06772290708333335/time)\n", + "OD600 0.106167 - 0.17189 (0.0027384583333333328/time, Biomass 2.1907666666666664e-05/time) \n", + "error biomass: 0.0 AC 0.000562268473408628 NO3 0.004153516531336546\n", + "error biomass: 0.0 AC 6.067883031035035e-32 NO3 0.0\n", + "0.06222483197406614\n", + "\n", + "6 7\n", + "time 119 142\n", + "Acetate 16.7230922 - 16.0084041 (-0.031073395652173916/time)\n", + "NO3 5.45062822 - 4.37442039 (-0.04679164478260867/time)\n", + "OD600 0.17189 - 0.2235 (0.0022439130434782615/time, Biomass 1.7951304347826094e-05/time) \n", + "error biomass: 0.0 AC 0.0009036272237231781 NO3 0.00194585656724462\n", + "error biomass: 0.0 AC 5.3777425653792395e-05 NO3 0.0\n", + "0.05965227188042156\n", + "\n", + "7 8\n", + "time 142 165\n", + "Acetate 16.0084041 - 15.139714 (-0.0377691347826087/time)\n", + "NO3 4.37442039 - 3.32304813 (-0.04571183739130435/time)\n", + "OD600 0.2235 - 0.289167 (0.002855086956521739/time, Biomass 2.2840695652173915e-05/time) \n", + "error biomass: 0.0 AC 0.0013306484361772376 NO3 0.0017890554041447848\n", + "error biomass: 0.0 AC 0.0002093902900887309 NO3 0.0\n", + "0.05774664062669106\n", + "\n", + "8 9\n", + "time 165 216\n", + "Acetate 15.139714 - 14.2351401 (-0.017736743137254884/time)\n", + "NO3 3.32304813 - 1.84560795 (-0.02896941529411765/time)\n", + "OD600 0.289167 - 0.3683 (0.0015516274509803924/time, Biomass 1.241301960784314e-05/time) \n", + "error biomass: 0.0 AC 0.00029024687371145916 NO3 0.000735350149037806\n", + "error biomass: 0.0 AC 9.079428381662216e-06 NO3 0.0\n", + "0.03680492816564579\n", + "\n", + "9 10\n", + "time 216 336\n", + "Acetate 14.2351401 - 12.6173731 (-0.013481391666666672/time)\n", + "NO3 1.84560795 - 0.1104298 (-0.014459817916666668/time)\n", + "OD600 0.3683 - 0.41167 (0.00036141666666666635/time, Biomass 2.891333333333331e-06/time) \n", + "error biomass: 0.0 AC 0.00017795600631076907 NO3 0.00019775924467369525\n", + "error biomass: 0.0 AC 3.852729350976038e-05 NO3 0.0\n", + "0.018713333519348143\n", + "\n" + ] + } + ], + "source": [ + "plot_fit.fit()\n", + "_data_pred = plot_fit.build_plot_data(plot_fit.data['OD600'][0], \n", + " plot_fit.data['Acetate'][0], \n", + " plot_fit.data['NO3'][0])\n", + "_data_exp = {k: list(v.values()) for k, v in plot_fit.data.items()}\n", + "_data_exp['biomass'] = [x * plot_fit.od_to_biomass_coeff for x in _data_exp['OD600']]" + ] + }, + { + "cell_type": "code", + "execution_count": 69, "id": "659a8776-74ac-49b3-a039-e36f12d74782", "metadata": { "tags": [] @@ -187,17 +794,17 @@ "outputs": [ { "data": { + "image/png": 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"text/plain": [ - "11" + "
" ] }, - "execution_count": 17, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "len(_data['time'])" + "plot_fit.plot(_data_pred, _data_exp)" ] }, { diff --git a/Metabolic_modeling/ms_ext_symcom.py b/Metabolic_modeling/ms_ext_symcom.py index 2cf527e..28b2316 100755 --- a/Metabolic_modeling/ms_ext_symcom.py +++ b/Metabolic_modeling/ms_ext_symcom.py @@ -257,6 +257,8 @@ def _integrate_solution(self, model, gap_fill_solution): model_reaction = template_reaction.to_reaction(model) model_reaction.lower_bound = lb model_reaction.upper_bound = ub + _str = model_reaction.build_reaction_string(True) + print(f'{model.id} add {model_reaction.id}: {_str}') added_reactions.append(model_reaction) model.add_reactions(added_reactions) add_exchanges = MSBuilder.add_exchanges_to_model(model) diff --git a/Metabolic_modeling/plots.py b/Metabolic_modeling/plots.py index b9b6fb5..37290a2 100755 --- a/Metabolic_modeling/plots.py +++ b/Metabolic_modeling/plots.py @@ -4,6 +4,164 @@ import pandas as pd +class PlotFit: + + def __init__(self, model, data, od_to_biomass_coeff, cobra): + self.data = data + self.model = model + self.cobra = cobra + self.solutions_bio = [] + self.solutions_atp = {} + self.od_to_biomass_coeff = od_to_biomass_coeff + self.intervals = len(self.data['time']) - 1 + + def fit(self): + for i in range(self.intervals): + print(i, i + 1) + _t0 = self.data['time'][i] + _t1 = self.data['time'][i + 1] + _t = _t1 - _t0 + _ac0 = self.data['Acetate'][i] + _ac1 = self.data['Acetate'][i + 1] + + _od600_0 = self.data['OD600'][i] + _od600_1 = self.data['OD600'][i + 1] + + _no3_0 = self.data['NO3'][i] + _no3_1 = self.data['NO3'][i + 1] + + _ac_uptake = (_ac1 - _ac0) / _t + _no3_uptake = (_no3_1 - _no3_0) / _t + _od600_change = (_od600_1 - _od600_0) / _t + _biomass_change = _od600_change * self.od_to_biomass_coeff + + if _ac_uptake < 0 and _no3_uptake < 0: + print('time', _t0, _t1) + print(f'Acetate {_ac0} - {_ac1} ({_ac_uptake}/time)') + print(f'NO3 {_no3_0} - {_no3_1} ({_no3_uptake}/time)') + print(f'OD600 {_od600_0} - {_od600_1} ({_od600_change}/time, Biomass {_biomass_change}/time) ') + + self.model.objective = 'bio1' + self.model.reactions.EX_cpd00209_e0.lower_bound = _no3_uptake + self.model.reactions.EX_cpd00029_e0.lower_bound = _ac_uptake + self.model.reactions.bio1.bounds = (0, _biomass_change) + + sol_bio = self.cobra.flux_analysis.pfba(self.model) + self.solutions_bio.append(sol_bio) + + _biomass_err = (_biomass_change - sol_bio.fluxes['bio1']) ** 2 + _ac_err = (_ac_uptake - sol_bio.fluxes['EX_cpd00029_e0']) ** 2 + _no3_err = (_no3_uptake - sol_bio.fluxes['EX_cpd00209_e0']) ** 2 + + print('error biomass:', _biomass_err, 'AC', _ac_err, 'NO3', _no3_err) + + self.model.objective = 'ATPM_c0' + self.model.reactions.bio1.bounds = (_biomass_change, _biomass_change) + + sol_atp = self.cobra.flux_analysis.pfba(self.model) + self.solutions_atp[(_t0, _t1)] = sol_atp + + _biomass_err = (_biomass_change - sol_atp.fluxes['bio1']) ** 2 + _ac_err = (_ac_uptake - sol_atp.fluxes['EX_cpd00029_e0']) ** 2 + _no3_err = (_no3_uptake - sol_atp.fluxes['EX_cpd00209_e0']) ** 2 + + print('error biomass:', _biomass_err, 'AC', _ac_err, 'NO3', _no3_err) + print(sol_atp.fluxes['ATPM_c0'], _biomass_change/sol_atp.fluxes['ATPM_c0']) + print() + + @staticmethod + def generate_total_acc_data(solutions, capture, base_values=None): + if base_values is None: + base_values = {} + df_res = {k: [] for k in capture} + df_res['time'] = [] + arr_acc = {k: base_values.get(k, 0) for k in capture} + + for (_t0, _t1), sol in solutions.items(): + time = _t0 + _t = _t1 - _t0 + for time_step in range(_t): + for alias, rxn_id in capture.items(): + df_res[alias].append(arr_acc[alias]) + arr_acc[alias] += sol.fluxes[rxn_id] + df_res['time'].append(time) + time += 1 + + return df_res + + def build_plot_data(self, od_t0=0.01093, acetate_t0=18.0313603, no3_t0=9.14450462, capture=None): + if capture is None: + capture = { + 'biomass': 'bio1', + 'acetate': 'EX_cpd00029_e0', + 'no3': 'EX_cpd00209_e0', + 'no2': 'EX_cpd00075_e0', + 'n2o': 'EX_cpd00659_e0', + 'no': 'EX_cpd00418_e0', + 'n2': 'EX_cpd00528_e0', + } + base_values = { + 'biomass': od_t0 * self.od_to_biomass_coeff, + 'acetate': acetate_t0, + 'no3': no3_t0, + } + _data_pred = PlotFit.generate_total_acc_data(self.solutions_atp, capture, base_values) + + return _data_pred + + def get_exp_data(self): + _data_exp = {k: list(v.values()) for k, v in self.data.items()} + _data_exp['biomass'] = [x * self.od_to_biomass_coeff for x in _data_exp['OD600']] + _data_exp.keys() + return _data_exp + + def plot(self, _data_pred, _data_exp): + import matplotlib.patches as mpatches + import matplotlib.pyplot as plt + + color_acetate = 'black' + color_no3 = 'blue' + color_no2 = 'green' + color_n2o = 'purple' + color_no = 'orange' + color_n2 = 'cyan' + + fig, ax = plt.subplots() + ax2 = ax.twinx() + fig.set_size_inches(25.7, 8.27) + + sns.lineplot(data=_data_pred, x='time', y='biomass', ax=ax2, color='sienna') + sns.scatterplot(data=_data_exp, x='time', y='biomass', ax=ax2, color='sienna') + + sns.lineplot(data=_data_pred, x='time', y='acetate', ax=ax, color=color_acetate) + sns.scatterplot(data=_data_exp, x='time', y='Acetate', ax=ax, color=color_acetate) + sns.lineplot(data=_data_pred, x='time', y='no3', ax=ax, color=color_no3) + sns.scatterplot(data=_data_exp, x='time', y='NO3', ax=ax, color=color_no3) + sns.lineplot(data=_data_pred, x='time', y='no2', ax=ax, color=color_no2) + sns.scatterplot(data=_data_exp, x='time', y='NO2', ax=ax, color=color_no2) + sns.lineplot(data=_data_pred, x='time', y='n2o', ax=ax, color=color_n2o) + sns.scatterplot(data=_data_exp, x='time', y='N2O', ax=ax, color=color_n2o) + + sns.lineplot(data=_data_pred, x='time', y='no', ax=ax, color=color_no) + sns.lineplot(data=_data_pred, x='time', y='n2', ax=ax, color=color_n2) + + plt.legend(handles=[ + mpatches.Patch(color=color_acetate, label='Acetate'), + mpatches.Patch(color=color_no3, label='NO3'), + mpatches.Patch(color=color_no2, label='NO2'), + mpatches.Patch(color=color_no, label='NO'), + mpatches.Patch(color=color_n2o, label='N2O'), + mpatches.Patch(color=color_n2, label='N2'), + mpatches.Patch(label='Dot experimental values', facecolor=None, color='white'), + mpatches.Patch(edgecolor='sienna', label='Biomass', facecolor='white'), + ]) + ax.set_title('Concentration') + ax.set_xlabel('Time') + ax.set_ylabel('mM') + ax2.set_ylabel('gDW') + sns.despine(fig, ax) + + class CommPlots: def __init__(self, model): @@ -57,7 +215,7 @@ def generate_solutions(self, cobra, rates, expected_growth_60R_40A): 'EX_cpd00209_e0': uptake_no3, 'EX_cpd00075_e0': uptake_no2, } - for ex_id in {'EX_cpd00029_e0', 'EX_cpd00209_e0', 'EX_cpd00075_e0'}: + for ex_id in _medium_up.keys(): rxn_ex = self.model.reactions.get_by_id(ex_id) rxn_ex.lower_bound = _medium_up[ex_id] # print(i, rxn_ex.id, rxn_ex.lower_bound) @@ -78,6 +236,9 @@ def generate_solutions(self, cobra, rates, expected_growth_60R_40A): atpm_max_R = sol_atpm.fluxes['ATPM_cR'] solution_array[i]['max_atpm_r'] = atpm_max_A print(i, 'MAX isolate ATPM', atpm_max_A, atpm_max_R) + else: + solution_array[i]['max_atpm_a'] = 0 + solution_array[i]['max_atpm_r'] = 0 # solution_array[i] = {'solution': sol} self.model.reactions.bio1.lower_bound = 0 @@ -402,43 +563,56 @@ def plot_total_uptake(self, df_array): def generate_organism_uptake_data(self, time_steps, solution_exp, monitor=None): if monitor is None: monitor = { - 'ac': 'cpd00029_e0' + 'acetate': 'cpd00029_e0', + 'no3': 'cpd00209_e0', + 'no2': 'cpd00075_e0', + 'no': 'cpd00418_e0', + 'n2o': 'cpd00659_e0', + 'n2': 'cpd00528_e0', + + 'leu': 'cpd00107_e0', } df_array = [] + for i in range(3): - df_array.append({ - 'i': [], - 'growth': [], - 'acetate': [], - 'no3': [], - 'no2': [], - 'no': [], - 'n2o': [], - 'n2': [], - 'leu': [] - }) + _data_array = {k: [] for k in monitor} + _data_array['i'] = [] + _data_array['growth'] = [] + df_array.append(_data_array) + time = 0 for t_index in range(len(time_steps)): sol_exp = solution_exp[t_index] growth_3H11 = sol_exp.fluxes['bio1_A'] growth_R12 = sol_exp.fluxes['bio1_R'] - leu_total, leu_acido, leu_rhoda = self._cpd_acc_to_a_r_t(self._get_cpd_acc(self.model, 'cpd00107_e0', sol_exp)) - ac_total, ac_acido, ac_rhoda = self._cpd_acc_to_a_r_t(self._get_cpd_acc(self.model, 'cpd00029_e0', sol_exp)) - no3_total, no3_acido, no3_rhoda = self._cpd_acc_to_a_r_t(self._get_cpd_acc(self.model, 'cpd00209_e0', sol_exp)) - no2_total, no2_acido, no2_rhoda = self._cpd_acc_to_a_r_t(self._get_cpd_acc(self.model, 'cpd00075_e0', sol_exp)) - no_total, no_acido, no_rhoda = self._cpd_acc_to_a_r_t(self._get_cpd_acc(self.model, 'cpd00418_e0', sol_exp)) - n2o_total, n2o_acido, n2o_rhoda = self._cpd_acc_to_a_r_t(self._get_cpd_acc(self.model, 'cpd00659_e0', sol_exp)) - n2_total, n2_acido, n2_rhoda = self._cpd_acc_to_a_r_t(self._get_cpd_acc(self.model, 'cpd00528_e0', sol_exp)) + #leu_total, leu_acido, leu_rhoda = self._cpd_acc_to_a_r_t(self._get_cpd_acc(self.model, 'cpd00107_e0', sol_exp)) + #ac_total, ac_acido, ac_rhoda = self._cpd_acc_to_a_r_t(self._get_cpd_acc(self.model, 'cpd00029_e0', sol_exp)) + #no3_total, no3_acido, no3_rhoda = self._cpd_acc_to_a_r_t(self._get_cpd_acc(self.model, 'cpd00209_e0', sol_exp)) + #no2_total, no2_acido, no2_rhoda = self._cpd_acc_to_a_r_t(self._get_cpd_acc(self.model, 'cpd00075_e0', sol_exp)) + #no_total, no_acido, no_rhoda = self._cpd_acc_to_a_r_t(self._get_cpd_acc(self.model, 'cpd00418_e0', sol_exp)) + #n2o_total, n2o_acido, n2o_rhoda = self._cpd_acc_to_a_r_t(self._get_cpd_acc(self.model, 'cpd00659_e0', sol_exp)) + #sn2_total, n2_acido, n2_rhoda = self._cpd_acc_to_a_r_t(self._get_cpd_acc(self.model, 'cpd00528_e0', sol_exp)) + + iterations = time_steps[t_index] + + for alias, cpd in monitor.items(): + cpd_total, cpd_acido, cpd_rhoda = self._cpd_acc_to_a_r_t(self._get_cpd_acc(self.model, cpd, sol_exp)) + for it in range(iterations): + df_array[0][alias].append(cpd_total) + df_array[1][alias].append(cpd_acido) + df_array[2][alias].append(cpd_rhoda) - print(ac_total, ac_acido, ac_rhoda) + #print(ac_total, ac_acido, ac_rhoda) - iterations = time_steps[t_index] + for it in range(iterations): df_array[0]['i'].append(time) df_array[1]['i'].append(time) df_array[2]['i'].append(time) df_array[1]['growth'].append(sol_exp.fluxes['bio1_A']) df_array[2]['growth'].append(sol_exp.fluxes['bio1_R']) + time += 1 + """ df_array[0]['acetate'].append(ac_total) df_array[1]['acetate'].append(ac_acido) df_array[2]['acetate'].append(ac_rhoda) @@ -466,7 +640,8 @@ def generate_organism_uptake_data(self, time_steps, solution_exp, monitor=None): df_array[0]['leu'].append(leu_total) df_array[1]['leu'].append(leu_acido) df_array[2]['leu'].append(leu_rhoda) - time += 1 + """ + return df_array diff --git a/Metabolic_modeling/syncom_exp_fit.ipynb b/Metabolic_modeling/syncom_exp_fit.ipynb new file mode 100644 index 0000000..d7b7207 --- /dev/null +++ b/Metabolic_modeling/syncom_exp_fit.ipynb @@ -0,0 +1,2589 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "0c0d493f-e285-4937-b3d2-3d8f42ab9030", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "modelseedpy 0.4.0\n" + ] + } + ], + "source": [ + "import cobra\n", + "import pandas as pd\n", + "import modelseedpy" + ] + }, + { + "cell_type": "markdown", + "id": "d37566f0-f256-471e-b6a6-c377973cdc34", + "metadata": { + "tags": [] + }, + "source": [ + "# Load Base Models" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "74e286dd-ef32-48c3-8b15-089f6f0f1d17", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Set parameter TSPort to value 27070\n", + "Set parameter TokenServer to value \"lic-vmw-01.cels.anl.gov\"\n" + ] + } + ], + "source": [ + "model_rhoda = cobra.io.load_json_model('./data/model_rhoda_gf2.json')\n", + "model_acido = cobra.io.load_json_model('./data/model_acido_gf2.json')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "10547d22-8749-4a27-80d1-fdafffde933c", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "MEDIA_ACETATE_NITRATE = {\n", + " 'EX_cpd00067_e0': 100.0,\n", + " 'EX_cpd00058_e0': 100.0,\n", + " 'EX_cpd00971_e0': 34.9324073,\n", + " 'EX_cpd00013_e0': 100.0,\n", + " 'EX_cpd00205_e0': 1.3415688,\n", + " 'EX_cpd00009_e0': 100.0,\n", + " 'EX_cpd11574_e0': 100.0,\n", + " 'EX_cpd00048_e0': 100.0,\n", + " 'EX_cpd00030_e0': 100.0,\n", + " 'EX_cpd00209_e0': 10.0,\n", + " 'EX_cpd00254_e0': 100.0,\n", + " 'EX_cpd10515_e0': 100.0,\n", + " 'EX_cpd00149_e0': 100.0,\n", + " 'EX_cpd00099_e0': 100.0,\n", + " 'EX_cpd00001_e0': 100.0,\n", + " 'EX_cpd00029_e0': 20.0,\n", + " 'EX_cpd00063_e0': 100.0,\n", + " 'EX_cpd00034_e0': 100.0,\n", + " 'EX_cpd00305_e0': 100.0\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "54328f11-43e6-4ce6-a82f-11886d056232", + "metadata": { + "tags": [] + }, + "source": [ + "# SynCom Default" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "56973cfa-3f28-41d7-8b78-3c3afa2503e4", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Namemodel
Memory address7f92b8ce7a60
Number of metabolites2401
Number of reactions2592
Number of genes0
Number of groups0
Objective expression1.0*bio1 - 1.0*bio1_reverse_b18f7
CompartmentscA, e0, cR
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%run ms_ext_symcom.py\n", + "cf = CommFactory().with_model(model_acido, 0.7, 'A').with_model(model_rhoda, 0.3, 'R')\n", + "model_comm = _build(cf)\n", + "if 'bio1' not in model_comm.reactions:\n", + " r_bio_sum = Reaction(\"bio1\", \"bio_com\", \"\", 0, 1000)\n", + " r_bio_sum.add_metabolites(\n", + " {\n", + " model_comm.metabolites.cpd11416_cA: -0.4,\n", + " model_comm.metabolites.cpd11416_cR: -0.6,\n", + " }\n", + " )\n", + " model_comm.add_reactions([r_bio_sum])\n", + "model_comm.objective = 'bio1'\n", + "model_comm" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "67257aca-8162-4e7e-b839-ec178d073f16", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "GSP_MEDIUM = {\n", + " 'EX_cpd00001_e0': 1000.0,\n", + " 'EX_cpd00013_e0': 1000.0,\n", + "\n", + " 'EX_cpd00209_e0': 12.0,\n", + " 'EX_cpd00029_e0': 20.0, # acetate\n", + " \n", + " 'EX_cpd00218_e0': 100.0,\n", + " 'EX_cpd00220_e0': 100.0,\n", + " 'EX_cpd00644_e0': 0.0002281,\n", + " 'EX_cpd00305_e0': 100.0,\n", + " 'EX_cpd00393_e0': 100.0,\n", + " 'EX_cpd03424_e0': 100.0,\n", + " 'EX_cpd00443_e0': 100.0,\n", + " 'EX_cpd00263_e0': 100.0,\n", + " 'EX_cpd00048_e0': 100.0,\n", + " 'EX_cpd00009_e0': 100.0,\n", + " 'EX_cpd00242_e0': 29.759425,\n", + " 'EX_cpd00205_e0': 1.3415688,\n", + " 'EX_cpd00063_e0': 100.0,\n", + " 'EX_cpd00971_e0': 34.9324073,\n", + " 'EX_cpd00099_e0': 100.0,\n", + " 'EX_cpd00254_e0': 100.0,\n", + " 'EX_cpd00030_e0': 100.0,\n", + " 'EX_cpd00058_e0': 100.0,\n", + " 'EX_cpd00034_e0': 100.0,\n", + " 'EX_cpd10515_e0': 100.0,\n", + " 'EX_cpd00149_e0': 100.0,\n", + " 'EX_cpd00244_e0': 100.0,\n", + " 'EX_cpd11574_e0': 100.0,\n", + " 'EX_cpd15574_e0': 100.0,\n", + " 'EX_cpd00067_e0': 100.0,\n", + " }\n", + "model_comm.medium = {rxn_id: v for rxn_id, v in GSP_MEDIUM.items() if rxn_id in model_comm.reactions}" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "60dc7a8c-d84d-4682-b042-53ff0b0fa399", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "

Objective

1.0 bio1 = 0.26335194453162647

Uptake

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MetaboliteReactionFluxC-NumberC-Flux
cpd00009_e0EX_cpd00009_e00.174100.00%
cpd00013_e0EX_cpd00013_e02.10700.00%
cpd00029_e0EX_cpd00029_e012.64299.98%
cpd00030_e0EX_cpd00030_e00.000421400.00%
cpd00034_e0EX_cpd00034_e00.000421400.00%
cpd00048_e0EX_cpd00048_e00.0541100.00%
cpd00058_e0EX_cpd00058_e00.000421400.00%
cpd00063_e0EX_cpd00063_e00.000421400.00%
cpd00067_e0EX_cpd00067_e022.900.00%
cpd00099_e0EX_cpd00099_e00.000421400.00%
cpd00149_e0EX_cpd00149_e00.000421400.00%
cpd00205_e0EX_cpd00205_e00.000421400.00%
cpd00209_e0EX_cpd00209_e01200.00%
cpd00254_e0EX_cpd00254_e00.000421400.00%
cpd00305_e0EX_cpd00305_e00.0004214120.02%
cpd10515_e0EX_cpd10515_e00.00168500.00%

Secretion

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MetaboliteReactionFluxC-NumberC-Flux
cpd00001_e0EX_cpd00001_e0-27.1700.00%
cpd00011_e0EX_cpd00011_e0-15.92199.94%
cpd00528_e0EX_cpd00528_e0-600.00%
cpd01981_e0EX_cpd01981_e0-0.000168560.01%
cpd03091_cASK_cpd03091_cA-0.0003371100.02%
cpd03091_cRSK_cpd03091_cR-0.0005056100.03%
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "solution_comm_wt = cobra.flux_analysis.pfba(model_comm)\n", + "model_comm.summary(solution_comm_wt)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "b71769b3-9a99-4b30-acd0-d52c17a3a570", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "%run ./plots.py" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "3bfac1e4-75fb-4493-a99e-5640b3d31edf", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "comm_plots = CommPlots(model_comm)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "2f2a559a-172d-4b5d-8a49-b47451f89056", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "atpm_max_cA_isolate, atpm_max_cR_isolate, time_steps, expected_growth_60R_40A, rates = comm_plots.constants()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "23543d3d-32a4-4b86-bf62-1e11e3eb5bcc", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 GROWTH 0 ATPM, exceess 0.00019351260705472673 0.00018952756705472673\n", + "0 MAX isolate ATPM 0.028229963564014558 0.02825951755386416\n", + "1 GROWTH 0 ATPM, exceess 0.001900382979840838 0.001856372079840838\n", + "1 MAX isolate ATPM 0.3263506936896119 0.32636421652900127\n", + "2 GROWTH 0 ATPM, exceess 0.0031083958929655174 0.0030704125929655176\n", + "2 MAX isolate ATPM 0.49370309528744694 0.49369846547728563\n", + "3 GROWTH 0 ATPM, exceess 0.0008420868425733763 0.0008246068425733764\n", + "3 MAX isolate ATPM 0.10949222612221757 0.10949395950670424\n", + "4 GROWTH 0 ATPM, exceess 0.0007943173851817941 0.0007855273851817942\n", + "4 MAX isolate ATPM 0.09911204826106375 0.09911207510054518\n", + "5 GROWTH 0 ATPM, exceess 0.0002891237871341849 0.0002806127871341849\n", + "5 MAX isolate ATPM 0.04176959305511194 0.041769453497578185\n", + "6 GROWTH 0 ATPM, exceess 7.590085275980524e-06 9.051995275980524e-06\n", + "6 MAX isolate ATPM 0.0007191215625 0.0007191215625\n", + "Acetate: -0.00796337 NO3 -0.015765185 NO2 -0.000300664 min community biomass 3.98504e-06 mATP 3H11 0.011291985425605824\n", + "Found solution mATP R12 0.016926326262637244 solution status optimal\n", + "Acetate: -0.077158311 NO3 -0.260613674 NO2 0 min community biomass 4.40109e-05 mATP 3H11 0.13054027747584476\n", + "Found solution mATP R12 0.19579695499120572 solution status optimal\n", + "Acetate: -0.126205391 NO3 -0.336007637 NO2 0 min community biomass 3.79833e-05 mATP 3H11 0.19748123811497878\n", + "Found solution mATP R12 0.2962075958817018 solution status optimal\n", + "Acetate: -0.047720639 NO3 0 NO2 -0.112949487 min community biomass 1.748e-05 mATP 3H11 0.04379689044888703\n", + "Found solution mATP R12 0.06569753756557103 solution status optimal\n", + "Acetate: -0.044917204 NO3 -0.00050591 NO2 -0.100448798 min community biomass 8.79e-06 mATP 3H11 0.0396448193044255\n", + "Found solution mATP R12 0.059470450004161464 solution status optimal\n", + "Acetate: -0.0163845 NO3 0 NO2 -0.06937439 min community biomass 8.511e-06 mATP 3H11 0.016707837222044775\n", + "Found solution mATP R12 0.02506022821087405 solution status optimal\n", + "Acetate: -0.018624539 NO3 -0.00033594 NO2 0 min community biomass -1.46191e-06 mATP 3H11 0.000287648625\n", + "Found solution mATP R12 0.0004314729375 solution status optimal\n" + ] + } + ], + "source": [ + "model_comm.reactions.ATPM_cA.lower_bound = 0\n", + "model_comm.reactions.ATPM_cR.lower_bound = 0\n", + "solution_array = comm_plots.generate_solutions(cobra, rates, expected_growth_60R_40A)\n", + "solution_exp = comm_plots.generate_growth_gap_solutions(cobra, expected_growth_60R_40A, rates, solution_array)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "c8c1c489-dfc3-44ac-b5c7-7249770e9668", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Biomass 3H11 0.0008575773279999989 Biomass R12 0.0013000459919999979 Biomass Total 0.002157623319999997 Time 141 Acetate 12.912023928225292 NO3 0.11462903200001467 NO2 0.7133230734590983 N2O 1.3361934778682103 N2 2.8719723544022444\n" + ] + } + ], + "source": [ + "exp_syncom = comm_plots.get_exp_syncom()\n", + "pred_syncom = comm_plots.generate_total_acc_data(time_steps, solution_exp)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "a0d45e69-01db-4322-8e52-59f829863865", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "total_uptake_data = comm_plots.generate_total_uptake_data(time_steps, solution_exp)\n", + "comm_plots.plot_total_uptake(total_uptake_data)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "35e27b6e-7788-4477-8d64-ed04e6f9037f", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 -0.003948565375734184\n", + "1 -0.038104421424585005\n", + "2 -0.0626924797650577\n", + "3 -0.016847266107481006\n", + "4 -0.01524954128951025\n", + "5 -0.006423216934834526\n", + "6 -0.00010822331801470577\n", + "0 -0.0008829614527043959\n", + "1 -0.010053029202895894\n", + "2 -0.015196589605283512\n", + "3 -0.0033710676973680905\n", + "4 -0.0030502839289330867\n", + "5 -0.00128564097815076\n", + "6 -2.2126817307692104e-05\n" + ] + } + ], + "source": [ + "model_comm.reactions.rxn05161_cA.upper_bound = 0\n", + "solution_leucine_50 = comm_plots.generate_leucine_efflux_data(cobra, solution_exp, expected_growth_60R_40A, rates, 0.5)\n", + "model_comm.reactions.rxn05161_cA.upper_bound = 0\n", + "solution_leucine_10 = comm_plots.generate_leucine_efflux_data(cobra, solution_exp, expected_growth_60R_40A, rates, 0.1)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "feeb5ac6-0fe0-43db-ba70-6ad590c3414b", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_data_zero_leu = comm_plots.generate_organism_uptake_data(time_steps, solution_exp)\n", + "plot_data_50_leu = comm_plots.generate_organism_uptake_data(time_steps, solution_leucine_50)\n", + "plot_data_10_leu = comm_plots.generate_organism_uptake_data(time_steps, solution_leucine_10)\n", + "comm_plots.plot_organism_uptake_data(plot_data_zero_leu, title='3H11/R12 Exchange rates no Leucine')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "af5865ab-a2c1-443c-9e3c-4c836a047ae9", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "comm_plots.plot_organism_uptake_data(plot_data_10_leu, title='3H11/R12 Exchange rates 10% mATM to Leucine')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "31d3e95d-28af-47da-870d-e45786cb178e", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "comm_plots.plot_organism_uptake_data(plot_data_50_leu, title='3H11/R12 Exchange rates 50% mATM to Leucine')" + ] + }, + { + "cell_type": "markdown", + "id": "8f2da8c6-5403-4c8c-a65b-117d42f9efa8", + "metadata": { + "tags": [] + }, + "source": [ + "# SynCom block N2 on R12" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "5a5887db-21e2-4030-b05d-c076233838e3", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Namemodel
Memory address7f92b1ad1b10
Number of metabolites2401
Number of reactions2592
Number of genes0
Number of groups0
Objective expression1.0*bio1 - 1.0*bio1_reverse_b18f7
CompartmentscA, e0, cR
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%run ms_ext_symcom.py\n", + "cf = CommFactory().with_model(model_acido, 0.7, 'A').with_model(model_rhoda, 0.3, 'R')\n", + "model_comm2 = _build(cf, with_gpr=False)\n", + "if 'bio1' not in model_comm2.reactions:\n", + " r_bio_sum = Reaction(\"bio1\", \"bio_com\", \"\", 0, 1000)\n", + " r_bio_sum.add_metabolites(\n", + " {\n", + " model_comm2.metabolites.cpd11416_cA: -0.4,\n", + " model_comm2.metabolites.cpd11416_cR: -0.6,\n", + " }\n", + " )\n", + " model_comm2.add_reactions([r_bio_sum])\n", + "model_comm2.objective = 'bio1'\n", + "model_comm2" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "749a0a92-65b6-4292-87e5-d6a6d2fb41a7", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# Block R12 NosZ\n", + "model_comm2.reactions.dnr00004_cR.upper_bound = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "a4c67837-d320-4d9d-aae2-09ba3d9fce14", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 GROWTH 0 ATPM, exceess 0.00019351260705472519 0.0001895275670547252\n", + "0 MAX isolate ATPM 0.028249884115387747 0.028264648267734192\n", + "1 GROWTH 0 ATPM, exceess 0.0019003829798408295 0.0018563720798408295\n", + "1 MAX isolate ATPM 0.32633213822261253 0.32634508831893655\n", + "2 GROWTH 0 ATPM, exceess 0.003108395892965525 0.0030704125929655254\n", + "2 MAX isolate ATPM 0.49369636823938445 0.49368846700574415\n", + "3 GROWTH 0 ATPM, exceess 0.0008420868425733737 0.0008246068425733738\n", + "3 MAX isolate ATPM 0.10949344794941614 0.10948997416929018\n", + "4 GROWTH 0 ATPM, exceess 0.0007943173851817968 0.0007855273851817969\n", + "4 MAX isolate ATPM 0.09911328068807167 0.09911052438300423\n", + "5 GROWTH 0 ATPM, exceess 0.0002891237871341897 0.0002806127871341897\n", + "5 MAX isolate ATPM 0.041755701139667555 0.041754554395124675\n", + "6 GROWTH 0 ATPM, exceess 7.63222266992708e-06 9.09413266992708e-06\n", + "6 MAX isolate ATPM 0.0007191215624999991 0.0007191215625000002\n", + "Acetate: -0.00796337 NO3 -0.015765185 NO2 -0.000300664 min community biomass 3.98504e-06 mATP 3H11 0.0112999536461551\n", + "Found solution mATP R12 0.016924905568715787 solution status optimal\n", + "Acetate: -0.077158311 NO3 -0.260613674 NO2 0 min community biomass 4.40109e-05 mATP 3H11 0.130532855289045\n", + "Found solution mATP R12 0.1958190349406435 solution status optimal\n", + "Acetate: -0.126205391 NO3 -0.336007637 NO2 0 min community biomass 3.79833e-05 mATP 3H11 0.1974785472957538\n", + "Found solution mATP R12 0.2961979028175249 solution status optimal\n", + "Acetate: -0.047720639 NO3 0 NO2 -0.112949487 min community biomass 1.748e-05 mATP 3H11 0.043797379179766456\n", + "Found solution mATP R12 0.06569270491516527 solution status optimal\n", + "Acetate: -0.044917204 NO3 -0.00050591 NO2 -0.100448798 min community biomass 8.79e-06 mATP 3H11 0.03964531227522867\n", + "Found solution mATP R12 0.059467747376696654 solution status optimal\n", + "Acetate: -0.0163845 NO3 0 NO2 -0.06937439 min community biomass 8.511e-06 mATP 3H11 0.01670228045586702\n", + "Found solution mATP R12 0.025054157640326202 solution status optimal\n", + "Acetate: -0.018624539 NO3 -0.00033594 NO2 0 min community biomass -1.46191e-06 mATP 3H11 0.00028764862499999967\n", + "Found solution mATP R12 0.0004314729375000004 solution status optimal\n" + ] + } + ], + "source": [ + "%run ./plots.py\n", + "comm_plots = CommPlots(model_comm2)\n", + "atpm_max_cA_isolate, atpm_max_cR_isolate, time_steps, expected_growth_60R_40A, rates = comm_plots.constants()\n", + "model_comm2.reactions.ATPM_cA.lower_bound = 0\n", + "model_comm2.reactions.ATPM_cR.lower_bound = 0\n", + "solution_array = comm_plots.generate_solutions(cobra, rates, expected_growth_60R_40A)\n", + "solution_exp = comm_plots.generate_growth_gap_solutions(cobra, expected_growth_60R_40A, rates, solution_array)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "07bc323b-0d37-405a-b217-f4b81ba1b87b", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Biomass 3H11 0.0008575773279999989 Biomass R12 0.0013000459919999979 Biomass Total 0.002157623319999997 Time 141 Acetate 12.911947796203037 NO3 0.11462903200001467 NO2 0.593032998744925 N2O 1.516657258950835 N2 2.751653610676727\n" + ] + } + ], + "source": [ + "exp_syncom = comm_plots.get_exp_syncom()\n", + "pred_syncom = comm_plots.generate_total_acc_data(time_steps, solution_exp)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "5bc2f857-dc78-42ab-8e7e-eaec586b553d", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "total_uptake_data = comm_plots.generate_total_uptake_data(time_steps, solution_exp)\n", + "comm_plots.plot_total_uptake(total_uptake_data)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "2e031982-d060-4487-878c-fe2575e23614", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_data_zero_leu = comm_plots.generate_organism_uptake_data(time_steps, solution_exp)\n", + "comm_plots.plot_organism_uptake_data(plot_data_zero_leu, title='3H11/R12 Exchange rates no Leucine')" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "e1c86f07-9308-49a8-aa45-1f8aa383df49", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 -0.00394595727854661\n", + "1 -0.038105240634955725\n", + "2 -0.0626925851080865\n", + "3 -0.016848404838616233\n", + "4 -0.015248910672957444\n", + "5 -0.006426176659227157\n", + "6 -0.00010822331801470583\n", + "0 -0.0008742423854357373\n", + "1 -0.010049605528288227\n", + "2 -0.015204844130532765\n", + "3 -0.003372945493924555\n", + "4 -0.003050266963242477\n", + "5 -0.0012866159840134999\n", + "6 -2.2126817307691433e-05\n" + ] + } + ], + "source": [ + "model_comm2.reactions.rxn05161_cA.upper_bound = 0\n", + "solution_leucine_50 = comm_plots.generate_leucine_efflux_data(cobra, solution_exp, expected_growth_60R_40A, rates, 0.5)\n", + "model_comm2.reactions.rxn05161_cA.upper_bound = 0\n", + "solution_leucine_10 = comm_plots.generate_leucine_efflux_data(cobra, solution_exp, expected_growth_60R_40A, rates, 0.1)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "d9184fa0-d9ea-4aef-9373-0d398b898842", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "plot_data_50_leu = comm_plots.generate_organism_uptake_data(time_steps, solution_leucine_50)\n", + "plot_data_10_leu = comm_plots.generate_organism_uptake_data(time_steps, solution_leucine_10)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "57556a9b-45b5-4aad-b7d3-2cc89270023a", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", 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WExPjbJOQkMArr7zCggULGDhwIL/++itvvfUWERERzjazZ8+mR48eXHrppUc8h8lkcns8duxYAgMDnY9rL1mxa9cuZ8z1UhW1q2OcfvrpGIbhdtZ9rdtvv93t8cCBA93yff311wQEBHDLLbc4Y35+fvztb39z2+7QoUMsXLiQK6+80m3ViPz8fIYPH8727duPajn8yy+/3Hm5hVpms9n5um02G4cOHaKmpobevXsf1YoF3vQtKiqKTZs2sX379t/N6yopKYlvvvmG22+/nYsuuoh77rmHtWvXEhcXx/333+9sV3u5jKCgoCNyWCwWtzbdunVj+/bt/PLLL2zfvp1Zs2bh5+fH/fffz+WXX85pp53Gp59+So8ePUhJSeHxxx93rszxe26++WbnfbPZTO/evTEMg5tuuskZj4qKokOHDm7jAeCrr74iPz+fUaNGOWOjRo1i3bp1bmfdN8Y111zDp59+SlVVFbNmzcJsNnv8bHhr1apV5OTkcOeddzrfZ4ALLriAjh07Mn/+/GN+jk8++YSBAwcSHR3ttlrK0KFDsVqtHleY+C25ubksWbKEG2+80e2SHnDkvsGTzp07O/cRYF89pH49j3efRUREREREjpffXjdTREREREREfKpjx4507NgRgBtuuIFzzjmHiy66iBUrVrgdyAoNDWXo0KFHbO96/fE/2vz58+nduzfx8fFH/OyVV16hffv2FBYW8tZbb7FkyRKPB3Ibw2q1cvXVV7N582a++uorWrZsedTbduvWzeP7Vt/VV1/N+++/z/z587n11luPuFTGzp07ufzyy4/qOesfkKy9VIXrJTUyMzN59NFHmTNnzhGX2igsLHR7bLFYjjjwHx0d7bZdRkYGLVq0OOLyFWlpaW6Pd+zYgWEYPPLIIzzyyCMe+5+Tk0OrVq1+6yWSkpLiMf7OO+8wefJktm7dSnV19e+2b2zfHn/8cS655BLat29P165dOffcc7n++uvp3r377z5PfTExMYwdO5ZnnnmGffv20bp1a+dkkcrKyiPaV1RUAO4TSiwWi9slHRYuXMi3337Ltm3b2LZtG1dffTWvv/46bdq0YdSoUSQmJjJ27Njf7Vv9sRQZGYnFYiE2NvaIeH5+vlvs/fffJyUlhaCgIHbs2AFAamoqISEhzJgxg6effvp3n78hV199NePHj+err75ixowZXHjhhYSHhzc6X62MjAwAOnTocMTPOnbsyNKlS4/5ObZv38769euP+EzVysnJ8Spf7aSBrl27Nqo/9WsMR36+j3efRUREREREjhdNRhAREREREWlCRo4cyW233UZ6errHA3K+9OWXXzZ4ALVv377Og7EjRoxgwIABXHPNNWzbto2wsLBjet5bbrmFefPmMWPGDIYMGXJMuRqSn5/PqlWrANi8eTM2mw0/v8YtNmg2mz3Ga8+Gt1qtDBs2jEOHDvGPf/yDjh07Ehoayv79+xkzZgw2m+2o8jVGbe7x48czfPhwj23qT2DwxPVAfK3333+fMWPGMGLECB544AGaN2+O2Wxm0qRJ7Ny587j2bdCgQezcuZMvvviCb7/9ljfffJP//ve/TJs2zW01gaOVmJgI2FdnaN26NS1atADg4MGDR7Q9ePAgMTExDU62sVqt3HPPPTz00EO0atWKJ554gtNPP9352bntttuYMWPGUU1G8FT73xtfAEVFRcydO5eKigratWt3RNuZM2fy1FNPHdWZ+560aNGCM888k8mTJ/PTTz8xe/bsRuXxBZvNxrBhw3jwwQc9/rx9+/ZAw6saWK3W49qfo6nn0fZZRERERETkz6bJCCIiIiIiIk1I7dLv9c+O97WNGzeSmZnJBRdc8Lttaw9An3XWWbz88ss89NBDjX7eBx54gOnTpzNlyhS35eaPt7/97W8UFxczadIkHn74YaZMmcK4ceOcP09NTWXjxo3H5bk2bNhAeno677zzDjfccIMzvmDBgkbnTE5OZtGiRZSVlbmtjlB7Rnyttm3bAhAQEHBUK0Z4Y9asWbRt25ZPP/3U7UDuhAkT3No1dJDX277VrmgwduxYSkpKGDRoEBMnTmzUZITas9trzzxv1aoVcXFxzgkqrlauXMkpp5zSYK7XXnuN4uJixo8fD8CBAwfcVvNo2bLlUV0K41h8+umnVFRU8Nprrx2xisK2bdv497//zU8//cSAAQMa/RzXXHMNN998M1FRUZx//vlebdvQGEhOTnb2sf7Eo23btjl/fixSU1MpKSn53TFWu6JJQUGBW7x29YZateP2eO0fPDnaPouIiIiIiPzZGncah4iIiIiIiPyhPC2rXV1dzbvvvktwcDCdO3f2Qa8a9uWXXxIfH++2FP1vOfPMM+nbty9TpkxxLmvvreeee47nn3+ef/7zn9xzzz2NynE0Zs2axUcffcQzzzzDQw89xNVXX82///1v0tPTnW0uv/xy1q1bx2effXbE9q5nMB+N2jOhXbczDIMXX3yxka8Ahg8fTnV1NW+88YYzZrPZeOWVV9zaNW/enDPPPJPXX3/d41n/ubm5je6Dp9e1YsUKli9f7taudrJE/YO83vSt/iUJwsLCSEtL83hZhYZy1Nq/fz9vvfUW3bt3d66IAPaaz5s3j7179zpj33//Penp6VxxxRUe8x86dIgJEybw3HPPYbFYAIiPj2fr1q3ONlu2bCEhIeE3+3ms3n//fdq2bcvtt9/OyJEj3W7jx48nLCyMGTNmHNNzjBw5kgkTJvDqq68SGBjo1bahoaHAkWOgd+/eNG/enGnTprnV8quvvmLLli1HNRnq91x55ZUsX76cb7755oifFRQUUFNTA9gnRpjNZpYsWeLW5tVXX3V7HBcXx6BBg3jrrbfIzMx0+5m3+4Zj7bOIiIiIiMifTSsjiIiIiIiInIBuu+02ioqKGDRoEK1atSIrK4sZM2awdetWJk+efMyXNnjvvffIyMigrKwMgCVLlvDkk08CcP311zvPMC4sLGTq1KkA/PTTTwC8/PLLREVFERUVxV133QXA/PnzOe+887xa1v2BBx7giiuu4O233+b2228H7GcVv/feewDOs85r+5WcnMz1118PwGeffcaDDz5Iu3bt6NSpE++//75b7mHDhhEfH/+7ffjxxx89Tobo3r073bt3JycnhzvuuIOzzjrL+VpffvllFi1axJgxY1i6dCl+fn488MADzJo1iyuuuIIbb7yRXr16cejQIebMmcO0adPo0aPHUb8vHTt2JDU1lfHjx7N//34iIiKYPXu22zXivTVixAj69u3L/fffz44dO+jYsSNz5szh0KFDgPuZ6K+88goDBgygW7du3HLLLbRt25bs7GyWL1/Ovn37WLduXaP6cOGFF/Lpp59y6aWXcsEFF7B7926mTZtG586dKSkpcbarnWzz0Ucf0b59e2JiYujatStdu3Y96r517tyZM888k169ehETE8OqVauYNWuWs4YNefDBB9m5cydnn302LVu2ZM+ePbz++uuUlpYeMRnkn//8J5988glnnXUW99xzDyUlJTz33HN069atwUssPPLII3Tr1s1tssLll1/O448/zh133EFycjKvv/46L7zwQqPe46Nx4MABFi1axN133+3x50FBQQwfPpxPPvmEl156iYCAgEY9T2RkJBMnTmzUtqmpqURFRTFt2jTCw8MJDQ2lX79+pKSk8OyzzzJ27FgGDx7MqFGjyM7O5sUXX6RNmzbcd999R5V/9uzZbhNAao0ePZoHHniAOXPmcOGFFzJmzBh69epFaWkpGzZsYNasWezZs4fY2FgiIyO54oormDp1KiaTidTUVObNm+dxItlLL73EgAED6NmzJ7feeispKSns2bOH+fPn8+uvvzbqPXJ1tH0WERERERH50xkiIiIiIiJywvnggw+MoUOHGvHx8Ya/v78RHR1tDB061Pjiiy+OaDt48GCjS5cuHvPs3r3bAIznnnvuiG0Aj7dFixYdsb2nW3JysmEYhlFQUGD4+/sbH3/88RHPP336dAMwfvnllyN+ZrVajdTUVCM1NdWoqakxDMMwFi1a1ODzDR482LnthAkTGmxX/zV48lvPAxgTJkwwDMMwLrvsMiM8PNzYs2eP2/ZffPGFARjPPvusM5afn2/cddddRqtWrYzAwECjdevWxujRo428vDy35/zkk0881mj69OnO2ObNm42hQ4caYWFhRmxsrHHLLbcY69atO6Ld6NGjjdDQ0CNeX+374yo3N9e45pprjPDwcCMyMtIYM2aM8dNPPxmA8eGHH7q13blzp3HDDTcYCQkJRkBAgNGqVSvjwgsvNGbNmvWb72tD480wDMNmsxlPP/20kZycbAQFBRmnnnqqMW/ePGP06NHOsVRr2bJlRq9evYzAwEC3ehxt35588kmjb9++RlRUlBEcHGx07NjReOqpp4yqqqrf7P/MmTONQYMGGXFxcYa/v78RGxtrXHrppcbq1as9tt+4caNxzjnnGCEhIUZUVJRx7bXXGllZWR7brl+/3ggMDDTWrl17xM/efvtto02bNkazZs2McePGOT8PDamtb25urlu8ofHguo+YPHmyARjff/99g/nffvttA3Db3/zyyy9HjL+GnqMhDX0GPPniiy+Mzp07G/7+/kc870cffWSceuqpRlBQkBETE2Nce+21xr59+3435+997n/88UfDMAyjuLjYePjhh420tDQjMDDQiI2NNU4//XTj+eefdxtDubm5xuWXX26EhIQY0dHRxm233WZs3LjR4/u0ceNG49JLLzWioqIMi8VidOjQwXjkkUecP6/dV+7evdsZS05ONi644IIjXsfgwYPd9ofe9FlEREREROTPZDKM47QmnIiIiIiIiPwlffzxx1x77bXk5eURGRnp6+6IFz7//HMuvfRSli5dyhlnnOHr7oiIiIiIiIjIScTP1x0QERERERGRpi0qKoqXXnpJExFOcOXl5W6PrVYrU6dOJSIigp49e/qoVyIiIiIiIiJysvL3dQdERERERESkaTvnnHN83QU5Cn//+98pLy+nf//+VFZW8umnn7Js2TKefvppgoODfd09ERERERERETnJ6DINIiIiIiIiIn8BM2fOZPLkyezYsYOKigrS0tK44447uOuuu3zdNRERERERERE5CWkygoiIiIiIiIiIiIiIiIiIiBxXfr7ugIiIiIiIiIiIiIiIiIiIiJxcNBlBREREREREREREREREREREjitNRjgODMOgqKgIXfFCREREREREREREREREREREkxGOi+LiYiIjIykuLvZ1V0RERERERERERERERERERHxOkxFERERERERERERERERERETkuNJkBBERERERERERERERERERETmuNBlBREREREREREREREREREREjitNRhAREREREREREREREREREZHjSpMRRERERERERERERERERERE5LjSZAQRERERERERERERERERERE5rjQZQURERERERERERERERERERI4rTUYQERERERERERERERERERGR40qTEUREREREREREREREREREROS40mQEEREREREREREREREREREROa40GUFERERERERERERERERERESOK01GEBERERERERERERERERERkeNKkxFERERERERERERERERERETkuPL3dQdERERERHzNMAxmzZrF1q1beeSRR5zxfv36eZ3r6aef5uyzzwbg+++/55///Cc9e/bktddec7YZPnw4BQUFXuUdP348V1xxBQCrV6/mzjvvJCUlhQ8//NDZ5uqrr2b37t1e5b355pu55ZZbANi1axejRo0iKiqKb775xtnmjjvuYM2aNV7lHTlyJA888AAAhw8f5txzzwVgxYoVzjYPP/wwCxcu9CrvkCFDmDRpkvNxbY2+/vproqOjAXjuueeYNWuWV3nr10hERERERERERESOjSYjiIiIiMhf3osvvsh9993HyJEj3eIrV670OtehQ4fc7q9cuZLg4GC3NmvWrCEvL8+rvDk5Oc77xcXFrFy5kpKSErc2GzZsYPPmzV7lPe+885z3y8vLWblyJbGxsW5ttmzZ4vV70bt3b+f9mpoaj9vv2LHD67xJSUluj2u3r6mpccb27Nnjdd76NRIREREREREREZFjo8kIIiIiIvKXd/311/P8888zYMAADMPAZDIBMHfuXK9z9ezZ03n/jDPOYO7cuTRr1sytzYwZM6iqqvIqb9euXZ33u3Xrxty5cwkLC3Nr88orrxwxQeH3tG/f3nk/KSmJuXPnEhgY6NZm0qRJ5Ofne5U3OTnZeT8iIsLje/nQQw8xevRor/K2aNHC7XFt3oiICGfs9ttvd5tkcTTq10hERERERERERESOjckwDMPXnWjqioqKiIyMpLCw0O1LUBERERE5MS1cuJDPPvuMl156yTnxoLy8XGfH/8VNnjyZn3/+mfHjxzfqEh0iIiIiIiIiIiJSx8/XHfDWK6+8Qps2bbBYLPTr1+83l1/dtGkTl19+OW3atMFkMjFlypRjzikiIiIiTVd2djbXXXcdZ599Ni+//DKfffaZ82eaiCALFy5k1qxZbNiwwdddERERERERERERafKa1GSEjz76iHHjxjFhwgTWrFlDjx49GD58uNv1c12VlZXRtm1bnnnmGRISEo5LThERERFpeqxWK6+99hodOnRgxowZmEwm/va3vzFkyBBfd01OIDfeeCMvvvgiZ5xxhq+7IiIiIiIiIiIi0uQ1qcs09OvXjz59+vDyyy8DYLPZSExM5O9//zsPPfTQb27bpk0b7r33Xu69997jlrOWLtMgIiIicuJau3Ytt99+u3P1q549ezJt2jT69Onj456JiIiIiIiIiIiInLyazMoIVVVVrF69mqFDhzpjfn5+DB06lOXLl/+pOSsrKykqKnK7iYiIiMiJpaioiHvvvZfevXuzcuVKwsPDeemll1i5cqUmIoiIiIiIiIiIiIj8wfx93YGjlZeXh9VqJT4+3i0eHx/P1q1b/9SckyZN4rHHHmvUc4qIyMkpOzubPn364Ofnx549e5zxW2+9la+//tqrXBdffLFzxR6r1UpKSgoA69evJyoqCoCHHnqImTNnepX3jDPO4IMPPnA+7tatG4WFhSxatIjU1FQAnn/+eV566SWv8nbs2JFvv/3W+fjMM89k165dzJo1i759+wLw1ltvMXHiRK/yNm/enFWrVjkfX3755fzyyy+8/vrrnHfeeQB88cUX/P3vf/cqb0M1mjRpEtdeey0AS5cu5ZprrvEqL3iu0f33388999wDwJYtWxg+fLjXeT3VaOzYsc7fR2rHn7c81aih8ecNTzVqaPx5w1ONGhp/AAUFBRQXFwNw1VVX8cILL9CyZUuvX4/8dVRWVvLrr7+Sm5vLhRde6OvuiIiIiIiIiIiINGlNZjLCieThhx9m3LhxzsdFRUUkJib6sEciIuJrNpuNvXv34ufnvuhQXl4ee/fu9SpXfn6+2+Pa7W02mzN2+PBhr/Pm5OS4Pd6/fz+HDx+mpqbGGSssLPQ6b+3B91oHDx5k7969VFZWOmMlJSVe562urnZ7nJOTw969eykvL3fGysrKvM7bUI1KSkqcscrKSq/zgucaua6gVF1d3ai8nmp0+PBht+dtTF5PNWpo/HnDU40aGn/e8FSjhsZfrdTUVF599VXOOeccr55L/ppycnI47bTT8Pf3p6KiArPZ7OsuiYiIiIiIiIiINFkmwzAMX3fiaFRVVRESEsKsWbMYMWKEMz569GgKCgr44osvfnP7Nm3acO+993Lvvfcet5y1ioqKiIyMpLCwkIiICG9eloiINHE2mw0/Pz+qqqpYv349AL1793b+fMeOHRQUFHiVMyYmhrZt2wJgGAarV68G4JRTTsHf3z6PcM+ePeTl5XmVNzw8nA4dOjgfr127FqvVSteuXbFYLID9APHBgwe9yhscHEyXLl2cjzds2EBlZSUdOnQgPDwcsJ+57+1B7YCAAHr06OF8vHXrVkpKSkhNTSU6OhqwT9zYvXu3V3nBc42Sk5OJi4sD7P+3p6ene53XU41atmzpPBu/rKyMzZs3e53XU42aN29OUlISgNv484anGjU0/rzhqUYNjT9veKpRQ+MPwGw206VLFwIDA71+DfLXZLVasVgs1NTUsHfvXlq3bu3rLomIiIiIiIiIiDRZTWYyAkC/fv3o27cvU6dOBewHgJKSkrjrrrt46KGHfnNbT5MRjjVnLU1GEBH56+rYsSM2m41PP/2Url27+ro7IiJyjFJSUtizZw9Lly7ljDPO8HV3REREREREREREmqwmdZmGcePGMXr0aHr37k3fvn2ZMmUKpaWljB07FoAbbriBVq1aMWnSJMB+lmDt2YdVVVXs37+fX3/9lbCwMNLS0o4qp4iISEMqKyvZvn07NpuN2NhYX3dHRESOg6SkJPbs2UNmZqYmI4iIiIiIiIiIiByDJjUZ4aqrriI3N5dHH32UrKwsTjnlFL7++mvi4+MByMzMdLsO9IEDBzj11FOdj59//nmef/55Bg8ezOLFi48qp4iISEN27tyJzWYjPDxc/2+IiJwkkpOTAcjIyPBxT0RERERERERERJq2JjUZAeCuu+7irrvu8viz2gkGtdq0acPRXIXit3KKiIg0ZNu2bQB06NABk8nk496IiMjxkJSUBGgygoiIiIiIiIiIyLHy+/0mIiIi4kl6ejpgn4wgIiInh9qVETIzM33cExERERERERERkaZNkxFEREQaqXZlhPbt2/u4JyIicrzoMg0iIiIiIiIiIiLHhyYjiIiINJJWRhAROfm4XqbhaC75JiIiIiIiIiIiIp5pMoKIiEgjaWUEEZGTT+1khJKSEgoKCnzbGRERERERERERkSZMkxFEREQa4dChQ+Tl5QGajCAicjIJCQkhNjYWgMzMTB/3RkREREREREREpOnSZAQREZFGqL1EQ+vWrQkNDfVxb0RE5HhKTk4G7JdqEBERERERERERkcbRZAQREZFG0CUaREROXsnJyQQGBnLo0CFfd0VERERERERERKTJ8vd1B0RERJqi2pUROnTo4OOeiMgfZfHExayatoq+d/Vl0L8HAVCwp4A3T3vT61zXfXMdCT0SAFgxdQU/PvUjXUd15dz/ngtAVUkVL6W95HXey2deTsqQFAA2zNzAN+O+IXVYKpe+d6mzzZTkKdRU1niV97yp59Hlii4A7Px2J5/d8Bkterbg2i+vdbZ5vefrFB8o9irv4AmD6XNHHwAOrD7AzAtmEpUcxc0rbna2ee+c98hen+1VXk81CgwN5O6ddzvbzB41m92Ldv9urpQhKbz99tuEhobi56e52yIiIiIiIiIiIo2lyQgiIiKNoJURRE4+K19ZibXKSqfLOhGVHEVlcSWl2aVUlVQ529isNkqzS73ObauxOe9Xl1ZTml1KZVGlM2YYRqPyWqusdXnL7XkrCirc2pRkl2CttNbf9DfVVNRNXqiprKE0u5TyQ+Vubcpyy7zuc3VZtfO+rdr+XgaGBrq1Kc8v9zqvpxpVh1W7tSk/fHR5N36wkY6XdnROxhAREREREREREZHGMRmGYfi6E01dUVERkZGRFBYWEhER4evuiIjIn2Dbtm2sX7+eU045hXbt2vm6OyJyHExtN5VDOw5xzfxraHd+O4oPFlOWV0ZoXChhCWGA/cB8fnq+17lj0mIICA4AoDSnlJLsEoKjg4lobf/d0Wa1kbs51+u8UW2iCAoPAqD8UDlF+4sICg8iqk2Us03Oxhy8/ZU/onUEwdHBAFQWVVKQUUBAcAAxaTHONnlb87BWezfJISwhjNC4UMA+MeHQzkOYA83Edoh1tsnfnu82GeJoeKqRyc9E8y7NnW0O7z7sNmnBk3XvrmP588uJSYvhzs13Yg4we9UPERERERERERERqaPJCMeBJiOIiIiING0lWSVMbjEZTPCPQ//AEmXxdZfEB6pKqngp9SVKc0rZ33M/e5vv5auvvvJ1t0RERERERERERJokXaZBRERERP7yMpdmAhDfLV4TEf7CAsMCGfqfoeTsyuGCxy+ghhoqKysJCgrydddERERERERERESaHE1GEBER8dKmTZv4+uuv6d27N4MHD/Z1d0TkOKidjJA4INHHPRFfO2X0KRiGwQuxL5CYmIjJZPJ1l0RERERERERERJokTUYQERHx0sKFCxk/fjwjRozQZASRk0TtZITkgck+7omcCEwmE3//+9+xWW3UVNRAoK97JCIiIiIiIiIi0vT4+boDIiIiTU1KSgpXXnklQ4YM8XVXROQ4qCyuJGttFgBJA5J83Bs5UWQsyWBaj2l8//D3vu6KiIiIiIiIiIhIk6SVEURERLx04YUXcuGFF/q6GyJynOz7eR+GzSAyOZKI1hG+7o6cIPZl7iN3Uy6FBwsZ+sxQAkICfN0lERERERERERGRJkUrI4iIiIjIX5ou0SCeLM5YzBzmsGP4Dk1EEBERERERERERaQRNRhAREfFCdXU1e/bswWaz+borInKc7F26F4DEAYk+7omcSJKSkljDGvZk7/F1V0RERERERERERJokTUYQERHxwpYtW0hJSSEpSdeVFzkZWKut7Pt5HwBJA/S5ljrJyfaVMjIyMjAMg8yfMn3cIxERERERERERkaZFkxFERES8sG3bNgASE3UGtcjJIGttFtVl1QTHBBPXKc7X3ZETSO2ks72Ze3lv2HtMHzCdnQt2+rhXIiIiIiIiIiIiTYcmI4iIiHghPT0dgA4dOvi4JyJyPGQutZ/tnnhGIiY/k497IyeSVq1a4efnR1V1FaFtQwH47h/fYdgMH/dMRERERERERESkadBkBBERES/UrozQvn17H/dERI6HxNMTOe2+0+hyVRdfd0VOMAEBAbRq1QqAuMviCAwPJGttFhs/2ujjnomIiIiIiIiIiDQNmowgIiLiBa2MIHJyaX1aa4a/MJzu13b3dVfkBFR7qYasoizO+McZACz810KsVVZfdktERERERERERKRJ0GQEERGRo2QYhlZGEBH5C0lOTgYgIyOD0+49jbCEMAp2F7Dq9VU+7pmIiIiIiIiIiMiJT5MRREREjlJubi4FBQWYTCbS0tJ83R0ROUYH1xxk1/e7qCqt8nVX5ARVuzJCRkYGgaGBDJ44GIAljy+hsqjSl10TERERERERERE54WkygoiIyFGqvURDcnIywcHBPu6NiByrFS+t4L2h7/HjUz/6uitygqpdGSEzMxOAU288lWbtm1GWV8ayyct82TUREREREREREZETniYjiIiIHCVdokHk5BLaPJSIxAiSBib5uitygnK9TAOAOcDMkKeHALB88nJKskp81jcREREREREREZETnSYjiIiIHKXalRE6dOjg456IyPEw7D/DuC/zPtLO1WVXxLPayzTUrowA0OmyTrTq14rq0mp+eOIHX3VNRERERERERETkhKfJCCIiIkepdmUETUYQObmYTCZfd0FOUElJSQQGBtKsWTPKy8sB+3gZ+uxQANb83xryt+f7sosiIiIiIiIiIiInLE1GEBEROUq6TIPIyaM0txTDZvi6G3KCCw8Pp7y8nB07dhAcHOyMtxnchnYXtMNWY2Phvxb6sIciIiIiIiIiIiInLn9fd0BERKQpqKmpYefOnYBWRhA5Gcw4dwYFewq46rOrSB6U7OvuyAnMz8/z/O2zJ53Nzm92EhQRhM1qw7AZFOWWkefvR1jzUFo42pXllZFXbaXCZCLMMAh3zIGxAjl+9lU5WrhMjCk0QVVoALERFiIAm9VGcXYp2X4mwhLCaAGYgPJD5RyqrKHUZCLEMIh0pDCALEfeeJvhnH1ebIJyiz/NooOJAgzDoORgCQf9TIQ2DyXBz4QZqCio4HB5NcUmExbDINplzk6WnwkDiLUZBDhipSYoDfInOiaYmNrnOlhMtslEULNg4gPMBAKVRZUUlFZRaDIRaBg0c8mb62eiBoixGQQ5YuVAUaCZqNgQYmufK6eUHJuBOdpC8yB/LEBVSRWFRZUc9jMR4OhbrXw/E1VAlM2gdipJJXDY34/I5qE0d6lRTrUVU5SFuOAAQoDq8mqKDleQ73hfmrvkPWSCSpOJCMMg1BGuBvL8TIQ7aoSjRrmVNdgig4gNCSQMqKmsoTi/nFwPtS8wQXm9cWIDsh01aulnwuSoUV55NdXhgTQLCyICsFZbKc0t81j7IhNHjBOAg34mgpsF0zLAjNlRo/zSKipCA4iJsBCFffyVZpc6ax9nM5xfIpSYoNhkIsgwiHHJm+1nIjDaQosgfwIcNTpUXEmpxZ+o6GCaUTf+cvxMWIFmNoNAl9oX+JkIdMRrBccE42/RVxgiIiIiIiIiTYn+khcRETkK/v7+ZGdnk56eTuvWrX3dHRE5BpXFlWT9moVhM4huG+3r7kgTFd8tnnsz7yW8RTgA2ZuzeXrER7y0827CgSJHu48u+4iXxpzCrzeeytkPfcfAZ38CoDg+lMlZ4zFZbUzwf8KZ98uXzmPl3/vyCPA4UJZbxjMdX+aZoocB+4FaCzD3lrm81KclPz00gP6TlzN8/LcA2PxMPG59FIAHY54l5HAFAIsfGcTix8/iNmAagAEvtHqBJ8r/hdXPRCaQCHz30HdMDQ3k28nn0P3ddVw2+nNn357Jf5CKmGD+1vFl4rbZL0/xy229mD/tQi4DZjvavdb1NZ769TaKAsysBnoCy55fxkt7Cvj83UtJ/XoH1583w5l36pa/kd8xlrEDp5O8NBOAzZd14uPZVzIQWOJoN33QdJ6aeTlZCWF8BZwLrJ2+lqnztzPj6+tosfoAt/V+w5n3rSVjyByYzJWXfUTnz7YCsGdgEm8vGUsHYKtLjZ7650B2npvGu8D1wLYvtjH1uWX83+pbicgsZFzyFGfeD2dfydbLOnHB7fPo8/pqAHI7NOOVrXcRA9ReuGPuLXN5akQH1l/fg8nAOGDvT3t5acznTMm8D3NFDY8EP+XMO/e1C1h9e2/OemQRg5+0v+qymGD+k/8gYJ/AYnLU6Kn2zfh5XH/+ATwD5G3NY2qfN3iq4t8APBw+iaCSKgAWPn4WSx4ZRN+XVnD+PV87n2+i9VHwM3EQSHDU6KkqK98/M5Qbgf85xt8LrV7g6aKHqAoP4u62LxKzuwCAn//el69fOo8uH27kilGznXmfO3g/pUH+rAe6OWr09K/ZzPnfxVwEzHEZf1N23k1B22huOu1NElfsB2DDVV2Y/eFIUr7fxeih7znzfvnWxbQe3IZn20aThoiIiIiIiIg0BbpMg4iIyFGKjo6mX79+DZ4lKyJNw76f92HYDKLaRBHROsLX3ZET3PTp0+nbty+TJk064mcftghnMPC+47Gfvx9+1Va3Gd9+Zj/MhoFftRW/2ja1t2orfjU29xgGZqvN7Q81T3lNZpM9X7UVP4wj81Zb6+UFc82Rec01NvyNurPPTX4m/Ez2vGbDPa+5xnZEXrPJntdcv7+e8vqZ7NvbGshrNtXFHW3r5zVbbfjbDEye8lrrvQ82x/vud2Te+jXysxlueTGBn7+jD/VqZHbkNZuOrOcRNTKwt3fL6+cxb109PeSt/15Cg+PEU+095fVYe0deT/X0VPuGxom/rX7tPY+T36q96zgpax7C6mu68WnbaA4jIiIiIiIiIk2FyTAMXSz3GBUVFREZGUlhYSEREfpCW0REROREtujRRSx5Ygndr+vOpe9d6uvuyAlu8uTJjB8/nlGjRjFz5ky3n43EvhrAU8A/fdE5kb8Im83gs405rOkeT+1aEunz05k/JIXDwQHcDrT0ZQdFRERERERExKMmd2rnK6+8Qps2bbBYLPTr14+VK1f+ZvtPPvmEjh07YrFY6NatG19++aXbz8eMGYPJZHK7nXvuuX/kSxARkSbo5Zdf5u6772bFihW+7oqIHKNMxzLwSQOTfNwTaQouvvhiPvvsMyZMmHDEz54F/g+47E/vlchfi5+fictdJiLkbc1j5hWfMLGggieARb7snIiIiIiIiIg0qElNRvjoo48YN24cEyZMYM2aNfTo0YPhw4eTk5Pjsf2yZcsYNWoUN910E2vXrmXEiBGMGDGCjRs3urU799xzOXjwoPP2wQcf/BkvR0REmpBPP/2UqVOnkp6e7uuuiMgxsFZb2ffzPgCSBmgygvy+du3aMWLECDp06HDEz1KBW4COf3qvRP7aKosqiUqOZPQ767jEMBjp8rNvgGlAiY/6JiIiIiIiIiJ1mtRkhBdeeIFbbrmFsWPH0rlzZ6ZNm0ZISAhvvfWWx/Yvvvgi5557Lg888ACdOnXiiSeeoGfPnrz88stu7YKCgkhISHDeoqOj/4yXIyIiTchtt93GAw88QN++fX3dFRE5BgfXHKSmvIbgmGBiO8b6ujsiItIIrfq24q61tzPpplP53GQiCCjLK2PpM0t5wmZwB/CCS/sfgAuAf9XLc6cjvt4l9rMjdn+9tvc54q5rM651xO6q1/YhR3yJS2yLI3ZzvbYTHfEFLrFdjth19do+44jPdYkdcMSuqNf2v474Jy6xQ47YRfXavuaIv+8SK3XELgCqXeLTHbH/ucSsLm2LXeIzHbFX6j3fJY54nktstiP2Qr22Vzni+1xi8x2xp+u1vcER3+kS+84Re7Re21sd8U0usaWO2D/qtf27I77aJbbKEbunXtsHHPFlLrENjtht9do+4ogvdIltd8TG1Gv7pCP+lUtsryM2ql7b5x3xz11iOY5Y/YtTTXXEP3SJFVJXT9fruv6fI/a2S6zSpW25S/xdR+z1es9X2/awS+xjR+zFem0vd8SzXGJfOGLP1mt7rSO+xyX2jSP2eL22Nzri21xif/Y+4nnsn0cRERERkb8Cf1934GhVVVWxevVqHn74YWfMz8+PoUOHsnz5co/bLF++nHHjxrnFhg8fzueff+4WW7x4Mc2bNyc6OpohQ4bw5JNP0qxZswb7UllZSWVlpfNxUVFRI16RiIg0JVdddRVXXXWVr7shIsfIeYmGAUmY/Ew+7o00FV988QXbt29n9OjRxMXFAfAmEAucDYT7snMif1H+Fn/8LXVfaSz4xwLWTP+VBKuNdvecxs1hgc6fHQC+xH7g1NUS7Aejx7vEsh1t6x8oXIb9IOMdLrF8R9vu9dquABZjPzheq8DRNrVe21WOuOvqDsWOWEK9tmsd8fNcYmWOWES9tusd8UEusUpHzFyv7SZHvLdLrMYRA7C5xLc64p1cYoZL2xqX+HZHvP46RF8DVUCFS2y3o239aYLfYn/vSl1imY62wfXaLgT2Yz9wX2u/o62tXtsfgHTgYZdYlqNt/VU1lgK/Ane7xHIdbXvVa7sc+An3SSeHHG3rr6KzEvvrc51MUIjn92y1I36xS6zEEav/7dWvjvhQl1i5I2ap13ajI97fJVZNXT1dbeHI8W5zaWt1iac74mn1ctS2rXKJ7XTEW9Rr+w32urtOctiD5/H+HfYJF6612+toW/+Lz0WOPK4TVP7MfUQV9gk1B4HJiIiIiIic/JrMZIS8vDysVivx8fFu8fj4eLZu3epxm6ysLI/ts7Lq5lWfe+65XHbZZaSkpLBz507++c9/ct5557F8+XLM5vp/ottNmjSJxx577BhfkYiIiIj82fYu3QtA4oBEH/dEmpIHHniA7du306dPHwYPHowNeBD7mZ0/A/182z0RAVKHpbJ9/na6/XsRXf+9iBXXdee0+07DL8CP1AAzU0IDiK+xkV1Sdxj0sQ6xFAea6QiUZJdQmlNKu+ahTI8PIw77pX3yttrP378rPJBDZj9allaRXW0/tB3n78eUsECirAbZxXWHMce1i2G0JYC+2FdsKD5YTFx0MNNbRxAOGIZBzkb75SZHhwYyLMCPjmXVZFfZD+cGmU1MCQ/CYhhkF9blvSklmvPCAukHVBRUULi3kICwQKanRBPgaJO7OReb1calIQGcEmimR3kN2ZX2KQIVJpgSacEEZBfUTQUYmRRJ70gLPYCqkioO7z6MLcif6e3th7n9gfz0fGoqaxgS7E/LIH86VNaQXW7PawOmRNkPcxcXVlDlOJ1+WMtwkpuF0AGoqaghf3s+fv5+vNEpDhsQDRzaeYjqsmp6B5mZEhxAmyor2WV1azE8HWmhygR+RZVk2+yJ+8aHMb15KMn1avRCt3jKsB/IL8gooLKokg6BZqaEBNCiXu3/ERFEsZ+JqJIqsmvs9WwfE8z0VhHE16vRhM5xFJj96AoU7S+i/FA5CY7ax1htZBfX5b0jPJArzH4kuoyT+IggpidHEVmvRvd2iGVUoJn+LuMvxFH7EJtBdlFd7a8LDeDMADNdXcdJcADT02IIcrSprdHYtBiGBgfQx2X8Wf1MTIkIwlyv9heFBNA50Ey3ihqyK+z1rArwY3rHOGeb2hpdlhJFj7AgurmMvxqX2hcUVDgnjQy2+BNn8ae9yzgBmN7N/h1dhEuNhiRGMD0qmHYu4w/g2SgLNYDNpfanOsZJUrWV7NK6cfLfznFUmf1o5VKjXi3CmB4bSqLL+AP4V0QQpX4mwoorybba8/6Z+4iloQGsTYlmq8nE0+Csn4iIiIjIycpkGIbx+81878CBA7Rq1Yply5bRv3/dnO0HH3yQH374gRUrVhyxTWBgIO+88w6jRtXNM3/11Vd57LHHyM7O9vg8u3btIjU1le+++46zzz7bYxtPKyMkJiZSWFhIRET9+dkiItLU7dy5k/3799O5c2diY7Wsu0hTZRgGzzd/nrK8Mm5cdiOJ/TUhQY7O0KFD+f7773nnnXe44YYbKMK+DPsv2M+CbTIzvEVOchUFFSz890J+efUX9/XlG3Dn5juJ62Q/6Lro0UUseWIJfe7qw/lTzwfsBx8nJ3h/7vKYH8aQPCgZgBVTV/D13V/T5coujPzIvv6BYTN43Fx/8fjfd8WsK+h8eWcANn60kdlXz6bNWW0YvXC0s81/mv2H8kPlDaXw6PxXz6fPHX0A2L1wN++e/S7Nuzbnjg1153i/0ukV50HXo3XmY2cy+NHBAGRvyGZa92mENg9lfHbdeebTB00n88dMr/J6rJEJJtgmONt8fPnHbPl0i1d5G6rRA3kPENIsBIB5d8xj9bTVDebwpKEaeRp/3mioRp7GnzcaqpGn8eeVBmrkafx5y1ONPI0/b/0R+wgD8E+/i7+1a4YuEisiIiIifwVN5nuz2NhYzGbzEZMIsrOzSUiov3ihXUJCglftAdq2bUtsbCw7duxocDJCUFAQQUGauywi8lfx/vvvM3HiRG666SbefPNNX3dHRBopf1s+ZXll+Fv8admrpa+7I01IcrL9oE5mpv2AWQTwqg/7IyKeWaIsnP/y+fQY3YNv7/+W/G35v9nez+znvB8QGkBo81CCwuv+1jf5mQhtHup1P/wCXPIGO/JGun+H0Ji8/kH+bvdDm4cSHO1+sYKQuBD8/P3qb/qbAoIDnPf9AvzseWPc8wY3C/a6zwGhLnn97XlDYkPc80Z7n9djjepdeSkoMsj7vA3UyGSqSx4U7n3ehmrkafx5lbeBGnkaf95oqEaexp9XGqiRp/HnLU818jT+vPVH7SOuyisjul3Dl4cVERERETmZNJmVEQD69etH3759mTp1KgA2m42kpCTuuusuHnrooSPaX3XVVZSVlTF37lxn7PTTT6d79+5Mm+Z5RvS+fftISkri888/5+KLL/bYpr6ioiIiIyO1MoKIyEnqmmuu4YMPPuDZZ5/lwQcf9HV3RKSR1ry5hrm3zCV5cDJjFo/xdXekCXn88ceZMGECN998M2+88YavuyMiIiInicOgFRJERERE5KTm3XR5Hxs3bhxvvPEG77zzDlu2bOGOO+6gtLSUsWPHAnDDDTfw8MMPO9vfc889fP3110yePJmtW7cyceJEVq1axV133QVASUkJDzzwAD///DN79uzh+++/55JLLiEtLY3hw4f75DWKiMiJZ9u2bQB06NDBxz0RkWNxaOchAJIGJPm4J9LUJCXZx0xmZiZWYI9PeyMiIiJN3f4DRZy55iBtDAPvLoAiIiIiItK0NJnLNIB9pYPc3FweffRRsrKyOOWUU/j666+Jj48H7F8O+vnVza84/fTTmTlzJv/+97/55z//Sbt27fj888/p2rUrAGazmfXr1/POO+9QUFBAy5YtOeecc3jiiSd0GQYREQHs15hPT08HNBlBpKkbOmkoZzxwBjarzdddkSam9jINGRkZrAX6AKcAazhi1WkRERGR32QYBl8Mn8G2d0ZQZDLxFXC9rzslIiIiIvIHaVKXaThR6TINIiInrwMHDtCqVSvMZjNlZWUEBgb6uksiIvIn27lzJ2lpaQQHBzOttJSbTCbOBeb+7pYiIiIiR9r40UY+WLibQX/ry/Du8b7ujoiIiIjIH6ZJrYwgIiLyZ6tdFSElJUUTEURE/qISExMxmUyUl5dzXl4eh+PiyPd1p0RERKTJ6nJlF568sgsmk9ZYEhEREZGTm9/vNxEREfnr2rZtGwDt27f3cU9E5Fgs+McC3j7zbdLnpfu6K9IEBQYG0qJFC8B+qYYwINm3XRIREZEmzGQyuU1EKDIMin3YHxERERGRP4omI4iIiPyG2skIHTp08HFPRORY7Fqwi4wfMqguq/Z1V6SJSkpKAiAzM9PHPREREZGTRUVBBeM/2USrkiom+7ozIiIiIiJ/AE1GEBER+Q21l2nQZASRpu3ymZdz0RsX0easNr7uijRRycnJcMcdTOjenfm+7oyIiIicFIoPFLN31mZKwoOYU1SJ4esOiYiIiIgcZ/6+7oCIiMiJTJdpEDk5xHaMJbZjrK+7IU1YUlISnH02G9PS2OnrzoiIiMhJIa5zHNdEWzCN+JCzc8tg6VhwuXyDiIiIiEhTp5URREREGlBVVcXu3bsBrYwgIvJXl5aWRqvXXmPIggWc7+vOiIiIyEljyIQz6b5gFweW7WXL7C2+7o6IiIiIyHFlMgxDK4Ado6KiIiIjIyksLCQiIsLX3RERkeNk69atdOrUibCwMIqKijDpDBWRJumHx38gOCaYLld1ITQu1NfdERERERFxs2jCIpY8voTotBjO3XQn7QPNvu6SiIiIiMhxoZURREREGpCVlUV4eDjt27fXRASRJspaZWXpM0v56u9fUZZX5uvuiIiIiIgc4fTxp1PTI55JH42kj82g2NcdEhERERE5TjQZQUREpAFnnnkmhYWFLF682NddEZFGOrj2IDXlNQQ3Cya2Y6yvuyNN2HvAj0CVrzsiIiIiJ52g8CAuvKM31aEBVNTYWF6i3zhERERE5OSgyQgiIiK/wWQyER4e7utuiEgjZf6YCUDSgCStcCKNVgncBgwCWg4ezJYtup6ziIiIHF+9bzyVmx7+nnuTp2Ce9KOvuyMiIiIiclxoMoKIiIiInLQyl9ZNRhBprALgYsCSnk7+kiVkZGT4uEciIiJysjEHmBk7ugchh8r5+YWfKdpX5OsuiYiIiIgcM01GEBERacDAgQMZMWIEBw4c8HVXRKQRDJuhyQhyXMQDHwIL8/NZvXo1AwcO9HWXRERE5CTU4eIOJA1Ioqaihhkvr6TU1x0SERERETlG/r7ugIiIyImooKCApUuXAvDee+/5uDci0hh52/Iozy/HP9ifFj1b+Lo7chLo37+/r7sgIiIiJzGTycSw54YxauFufvrHGWQfLGZiC102UERERESaLk1GEBER8cBisfDtt9+SkZFBeLi+/BFpimpXRWjdrzXmQLOPeyNNVTVQCkT5uB8iIiLy19D6tNZ0XXuQpWY/lu0uAE1GEBEREZEmTJMRREREPLBYLAwbNszX3RCRY5D5o30yQuKARB/3RJqyZcAQ4Fxg2t69fPzxx/j7+3PPPff4uGciIiJyspo4LJUBn29h1IUdfN0VEREREZFj4ufrDoiIiIiI/BFqV0ZIGpDk455IU7YWsAERwL59+xg/fjz//e9/fdwrEREROZnFp8Vw7YhO+Pnrq1sRERERadq0MoKIiIgHH330EdXV1QwZMoSWLVse9XbZG7I5sOoAMWkxJA9MBsBWY2Pde+u87kPboW2JTIwEIH97PplLM4loHUHqsFRnm3XvrcNWY/Mqb9KAJJq1awZA4d5Cdn23i5DYEDpcVHfWzaZPNlFVUuVV3pa9WxLfLR6A0txS0uelExgWSJcrujjbbJu7jbK8Mq/yNu/anFZ9WgFQWVzJ5lmb8TP70eOGHs42OxfspGhfkVd5G6pR9+u6Yw6wL+mf8WMGh3Yc8ipvQzXqPLIzQeFBAOz/ZT85G3O8yttQjdpf2J7QuFCgbvx5o6EaeRp/3mioRp7Gn7c81aj++Nv08SYKdhdg8jOR2F8rI0jj3QtcAZQDIcn2fca+ffuoqanB319/TomIiMgfq6CihlX7ixiaGuPrroiIiIiIeE3fnomIiHjw9NNPs379eubNm9fgZITq8moWPLCAwY8OJrS5/WDwjq938N2D39FjdA/ngW5rlZU5N87xug+j5o1yHgze+9Ne5tw4h7Tz0twOdM+/fT7VZdVe5b1k+iXOg8E5G3KYc+McWvZu6Xage8EDCyjMKPQq79BnhzoPBhfsKWDOjXOITI50O9C95IklHPjFu4Pl/cf3d05GKM8vZ86Nc/AP9nc70L1iygq2f7ndq7wN1ajLlV2cB7rX/m8t697xbiJJQzVKOSvFORlh8yebWfbcMq/yNlSjm1fc7JyMUDv+vNFQjTyNP280VCNP489bnmpUf/x9dddXAMT3iCcoIsjr5xBx1crxry0hgYCAAKqrqzl48CCJiZroIiIiIn+chTsOcXG0hbI2UVQbBmaTCYARC3aypXkoF72zji6OycgHkiN5d/zpROSXc+fExc4cs2/pyfbu8dy2r4hxF7QHYGNuKZcfKCakrIa1/Vs7247+dic/x4dy9uwt9Fm8B4CCZsFMm3gmAVVW7r//W2fbr0Z1Zd3piVyeUcDTF3cEIK+ihjO25dmfo30zAoIDALhnwU6+bh5K/292MnheOgBVgWZemHwOAOPu/5bAKisAP1zYnuXDUzl7TwGvXtLR+XwdN2Rj2Ay+ax5KYotwACZ+v4sPYkPosWwv532w0dl28uRzqA40c/vExUTllwPwy5lt+P7yTvTeU8AMl7y9Vx+g2N+PGaEB9E6z/50y9Yc9vBxlod36bC5/Y42z7asTz6SoWTA3PL+Mlo6/lzf1bsnc0T1ot7eIeRe2d7Ydsnwv+0MCmAKc1yMBgA9W7GOixZ9Wuw5z/X9/drZ9e/zpZCVHMnLaKtI25QKwu2MsH/2tD/EHS1hybpqz7YilmWwJD+Tf5TVcf5q9dgvWZXEXEJ1Tym1PLHG2/fj23uzqEsf576+n+4r9AGS3jmD6P84grLCSn/u0dNZozNJMlocHcnthJfcNsv+d/Ov2fK4qqyaovIb7HlzgzDvvuu5s7NeKMz/fymnf7wagKDKIV58cgp/VYGVCGOEt7TW676dMvgwL5Kr8ch4fkgLAwewSzswqAeCBe7/GbDUAWDiiIyvPTqHv97sZ8vlWAKxmE89NOReAry3+pHSIBeCJn/fxfrA/w3JKednx93dNRQ3dNudiM5u4898LiSisBODns1NYPKIjXVfs58L31ztfx3//M4zKYH/erbHRr5f9e59X1h7kJT8TfXLLeH9o27pxsjST4vBAxj77E/GOEyHW92vFl9d1p+2mXK6ctsrZ9vVHBnG4eSiTiyq50PGdw0ebcni0xkb7vDLmnl2Xd8ii3eyPCeaqV34hZav9s7OjSxyzbu9NQkYhY56v+97gvftOY3/baB7OKWWM4zUv3HWYO4orSSio4IfBberGyZ+0j/AP8ufsSWfTsvfRn8QjIiJ/PZqMICIiUo/NZmP7dvuB7Q4dPF+js7q8mg8v+ZBdC3ZxcPVBblx2IyaTiei20bS7oB3xPeKdbU1+Jtpd0M7rftROcAD72fbtLmh3xB94aeemUVNZ41XeiNYRzvshcSG0u6AdMe3cz7JJGZJCaU6pV3mjU6Od9y2RFtpd0M7tNQAknpF4ROz3xHWKc973D/an3QXt8A9y/xWmZZ+WYPIqbYM18jP7ubXxtnYN1cg/uK7PsR1jvc7bUI0sURZnrHb8eaOhGnkaf95oqEaexp+3PNXI0/jz8/ej79/7ep1fpCF+fn4kJiaya9cuMjIyNBlBRERE/lB9W4UTlFdGWH455vbNnPH0iCDSeySwO3sZ4T/aVzDbX96S9B4JRO4pIPPHulXNdozrT3qPBDLT852x4mor6T0SCMl1/5tvR4CZ9B4JpEz/lXhHjsPJkaT3SCCgtMot787re5DeI4GM7XUryVXZDNIdB96N0rqV9nYZkN4jgfh520lx5KgKCXC2zVy+j0DHJPtdw9Psfdhd4Na3bY6JxxUZdfGMahvpPRIIW3nArW/pneOoDg0kY20WRY5JA7t6tiC9RwJRB0vc8m5tE0VpsxCKNmQ7Y/sqakjvkYBpt/t7ub1tNIVtosjYmk+N4wDv7kT7+0NRpXve+DAOto0mb/leZyyrtJr0fq0pL3F/L3dMPocDPRLYk1lEoCO+J8if9B4JFJmy3fKmRwSR3j2eg4t2O2P5ZdWk908kZnu+e43+cQbbeyTQ6b8/E+WIH+wRT3qPBML3F2HYjLrXFmSv/d4FO52x4vJq0nskEFRQ4Z73xlNJ75FA8vsbaOmIF7UMJ71HAn7VVmpcVi3caTLZx+q3dXmrKq11tV+6F7NjtcddF3UgvUcCsd/uIs2R1+rv52xbvrruxIbdVnvt27qstGfYDNK7NccWYCZzTRYRB4rtbfu1Jr1HAsFrs9zHScdYKqMsFLq8l/sqraSf1pqoHzPc3/e20RS3DGfP5lwq19lrsrttNOk9EjD2FbmPkzZRHGrXjNz56c5YdqWV9J4tYLX7yRnb4sM40DmOPbsLMNfWPtz++S6psrqPk0lns7dHAgc/3eKM5VfZx2qhy+cb/tx9xKFdh7lp/e2EhQYiIiLiickwDOP3m8lvKSoqIjIyksLCQiIiIn5/AxEROaFlZmaSnJxMQEAAZWVlRyzDXVNRw4cjPmTnNzsJCA3g2q+udZ5hLyIiJ4+pwDpgLHCGIzZkyBAWLVrE+++/z7XXXuu7zomIiMhfwtaDxfy8t4gxfVs5Yx+tPsDBKitdD5fTstw+Ob0gwI+VcaEEWw0GZtcdcF8bE0yuxZ/Toyz0dUz0ziut4v312QSZTNxxWt1Zz3PWZbGrrJoORZUkOy7bV2Y2sTQ+DDNwtuPgLsCmKAv7QwI4NSyQwY6JAuU1Nl7/xX4G/t19WuHnb59EvGBTDpuKKkkpqaKd46B9jQkWOlY4GHKwGH/HN9TbI4LYHRZIR4s/557awvl8L63cj81q46bu8YQ7DnouTc9jVX45rcqq6VJQ4Wz7fctwrMCA7BJCHGfdZ4QFsi0iiDb+fozoU/devr76AOVVVkZ1iCU+JhiANbsOsyS7hLiKGk49VO5s+2N8GOVmE31zS4mqth9APxDsz8boYJqb4JrT6iaqvvtrFofKq7mkbTQp8WEAbNlXyDd7i4iqstLX5fKFP8eFUBRg5tRD5cRV2OuZF2RmTbMQImwGN56R5Gz78YZsDpRUMax1BF0cK9ntyS7h812HCbbaGJhdd/B4TbNg8oL86VJQQSvHZI+iAD9+jgslyGZwW7/WzhrN3ZLLzoIKzogPpU9b+0T43EPlzNiWh79hMMRlEsfGKAsHQgJoX1RJG8c4qfAzsSQhDBNwR/d4Ah01+m57PhvzyugZE8wgx6oGJaVVvLnefkB/6IFiaqeab4sIIiMskOSSKjo4xokN+M6xysLYDrFEOmq0bE8BKw8W0ykiiOFdmtvb1tiY+st+DGBQVgkWx2SLPWGBpEcE0bKsmq4u42RhizBqTCauSomiRYL9OdbuL+KHzELahAQwwjEJAmDa8r1UAKfllhLhqP3+kAA2RVmIrayhZ77rOAml3OzHRa0iSE2y12hbTilf7TxEQpA/V/esG9dvr9xHgdWgZ34ZsZX21UFyLf6sjQkmotrKabl142RlbAgFgWaGxoXSNc1eo8zD5Xy6NY9Ifz/G9vmT9xHFVXzwwnJmPHEW3fz9+MJlZQYRERFXmoxwHGgygojIyeW7775j2LBhdOzYkS1btrj9rKayho8u/YgdX+0gIMQxEWGQJiKIiJyMBgA/AW8CNzliY8aM4Z133uHpp5/m4Ycf9l3nREREREREfOjt1QcY26slASVVLNuQTe/+WjlORESOpMs0iIiI1LNt2zbgyEs01FTW8PHlH7Pjqx34B/tzzfxrNBFBROQk9iiwABjqEktOtu/3MzIyPG0iIiIiIiLylzCmV0t+/Ggjof9ayDKg+7rbnatiiIiI1PL7/SYiIiJ/LbWTEdq3b++M1VTW8MnIT9g+f7t9IsK8a2hzZhsf9VBERP4M5wDPAa7TzpKS7MvkZmZmetpERERERETkL+OVc9NIqbRyeOdhFv5roa+7IyIiJyBNRhAREaknPT0dqFsZwVplZdaVs0ifl46/xZ9Rc0eRMiTFl10UEREf0coIIiIiIiIidpZICxe9eREAX365nblrD/q4RyIicqLRZAQREZF6XFdGsFZZ+eTKT9g2Z5tzIkLbs9v6uIciIvJH+xjYBBj14rUrI2RkZGAY9X8qIiIiIiLy15I2PA3T88N47dfbuTEmmMKyal93SURETiAmQ9+gHbOioiIiIyMpLCwkIiLC190REZFjUFFRQUhICIZhcGDfAZb8fQlbP9uKOcjMqDmjSD0n1dddFBGRP1gJEA3UALuBNi4/q6ioIDg4GID8/HxiYmL+9P6JiIiIiIicSLILK+hYWk3zXYf5tHkIXdrH+rpLIiJygtDKCCIiIi527NiBYRhERUWx7vl1zokIV39xtSYiiIj8ReQCZwKdcZ+IAGCxWIiPjwd0qQYRERERERGA+EgL3xdWsP6UBE1EEBERN/6+7oCIiMiJxPUSDaePP53d3+9m6LNDSRue5uOeiYjInyUFWMCRl2iodcYZZ3D48GFdpkFERERERMShZ6c4X3dBREROQJqMICIi4iI9PR2ADh06ENEqgtvW3oafWQsJiYj8FZkaiM+ePftP7YeIiIiIiEhTUW0zuG/FPvKrbXwwKNnX3RERER/TZARpUjbM3EBZXplX27Ts3ZLE0xMBqCioYN276zAHmul9e29nmy2fbaFob5FXeeO6xNH27LYA1FTWsPr11QD0+Vsf54HLHd/sIH9bvld5o9tG0/7C9s7HK19eiWEzOPXGUwkMCwQgY0kGWb9meZU3rEUYXa7o4ny85n9rqC6tpuuoroTGhQKw/5f97Fu+z6u8QZFBnDL6FOfj2hp1HNGRyKRIAHI25rB74W6v8jZUo9RzUontaF/q69DOQ2yfv92rvOC5RkkDk2hxagsAig8Us3nWZq/zeqqRp/HnLU81amj8ecNTjRoaf97wVKOGxp83PNWoofHnDdcalR8ux/a2jfNan0e3bt0ANBFBROQvphr7igiBvu6IiIiIiIhIE/T55lxe6Z8INoNbtuQyRCsmiIj8pWkygjQpP/3nJ7LXZXu1zYB/DnAeaCzNLeXre74mKDLI7UD3qldXseu7XV7lPfXmU+sOBpfX8PU9XwPQ+47eYLa3Wf/uejbM3OBV3g6XdHA7GPzNfd9gq7HR6fJOzgPdWz7dwooXV3iVN/H0RLeDwYsfXUzxgWKSByU7D3Tv/HYni/69yKu8MWkxbgeDa2sU2ynWeaB77/K9zvfnaDVUo0vfv9R5oDtnQ47XecFzjYb/d7jzQPfh3YcblddTjTyNP295qlFD488bnmrU0PjzhqcaNTT+vOGpRg2NP2+41qgsr4ya9BrOsJzB7dfd7lUeERE5OXwLXAmMAt78nbZWqxWz2fzHd0pERERERKSJuKJrcy5ZtJseVoMzh6T4ujsiIuJjmowgTUrauWnEeTmTMr57vPN+YFggXa/uin+I+9Bvc1YbQmJDvMrbqk8r532/AD+6Xt0VAJOpbkHf1v1be31WeYveLdwed7mqC4bVICA4oK5NzxbO5ztaMe1j3B53uKQDFYcrsERZnLG4znFe5w1NCHV7XFujsPiwuudOjfE6b0M1ikqOcsbCW4V7nRc816hZ+2bOWEhsSKPyeqqRp/HnLU81amj8ecNTjRoaf97wVKOGxp83PNWoofHnjfo16n5dd0658RTCW4R7lUdERE4Oy4AyGr5EA8APP/zA1VdfTVJSEitWeDdBVET+BIYNcn6A0swjf2byg5Tr6x5nLYSyvRDbHyIck3LL9kPWd94/b/IoMDvWVcldBsXbIaYnRNlX3KIyH/bP8z5v4qUQEGG/f2g1FGyEiE4Q29ceqymFzFne5215Hlia2+8Xbob8XyCsLTQfaI/ZrLDnfe/zxp8FoUn2+8U7IXcpBLeEFsPq2uyZCTbvVkrzWKPAGGh9UV2bvZ9CtXeTnj3WyD8Ekq6oa7P/S6jM9S6vpxo1NP680VCNPI0/bzRUI0/jzxsN1cjT+PNGQzXyNP688WftI0RETnKfn6VJCCIiYmcyDMO7o0xyhKKiIiIjIyksLCQiIsLX3RERkUay2WyYTCa3CSsiIvLXYgM2AwFAhwbarF27lp49e9K8eXOys71bkUdE/kBl+2HnW7Drf1Ca4bmNXyBcXVn3+IdLYP8c6PsGpN1sjx34Bhaf6/3zjyyAQPvKY6y4GXb+D3o8DV0etscOrYWve3qf96LtEJ5mv//rw7D5GehwL/T6rz1Wtg8+T/Q+77BlENfffn/rf2HNOGhzLZzuOLhtrYSPLA1v35BBn0PrS+z3d78Py6+HhHNgyDd1bT6JhGrvLpXosUbRp8B5a+vazEmDkp3e5fVUo+BWcKnLJQy/6Q/5P3uX11ONGhp/3mioRp7GnzcaqpGn8eeNhmrkafx5o6EaeRp/3viz9hHpr0LhRmj3N4jq8pubiYg0dSWlVaRnl9KzbbSvuyIiIj6glRGkSbnzzjvZtcu7yylcffXVjBkzBoD9+/dz0003ERoayuzZs51tHn74YdauXdtABs/OPfdc7r33XgBKSkoYOXIkAPPmzcPf3/7RevbZZ1m0yLvLHvTv358JEyY4H19wwQVYrVbef/99YmPtS99PmzaNzz//3Ku8nTt35oUXXnA+vvbaa8nPz+eVV14hNTUVgA8++IB33nnHq7wtW7bkrbfecj6urdHTTz9Nz572L9q++uorXnzxRa/yNlSjBx98kCFDhgCwbNkyHn/8ca/yguca3XbbbVx66aUAbNq0ifvvv9/rvJ5q5Gn8ectTjRoaf97wVKOGxp83PNWoofHnDU81amj8ecO1Rp999hkjR47k/PPPZ/78+V7lERGRk4Mf8HvrDXXq1IlVq1aRnJz8Z3RJRH6LrQYOfAk73oCDX9pXRQAIiIJmfe1nObvyC3B/HNMTbFUQ0rouZomFFo040Ojn8hVLZFd7jrC2dbGA8MblNbus4hfe3p4joqPL8wY1Lm9gVN390Db2HFHdXRqYGpc3qHnd/eCW9hwx9SZhJAyFmjLv8nqqUViqe5vmgyC8nXd5PdUoKNa9Texp7u/X0fBUo4bGnzcaqpGn8eeNhmrkafx5o6EaeRp/3mioRp7Gnzf+jH2EYdgnYJTsgJhemowgIie1Fen5XF5joyrYnx3l1UQEB/z+RiIiclJpcpMRXnnlFZ577jmysrLo0aMHU6dOpW/fvg22/+STT3jkkUfYs2cP7dq149lnn+X88893/twwDCZMmMAbb7xBQUEBZ5xxBq+99hrt2nn5x6v8KZYtW8a6deu82qZXr17O+2VlZXzzzTdERka6tVm1ahXffefdEnuJiXVnntTU1PDNN/YzCFwXG1m/fr0zfrQsFvczT7799ltqamqorKybmb9161av8xYXuy9VuXjxYg4cOOAW37Vrl9d509LS3B7X1sj1YP6+ffu8zttQja6/vu6shpycHK/zgucanXtu3RcJBQUFjcrrqUaexp+3PNWoofHnDU81amj8ecNTjRoaf97wVKOGxp83XGvUuXNn4MjPoYiIiCuLxeL2/4eI+EhFLnx1CpS7/F4ZNxDSboHEkeAf/Ps5uk04MhbTC8766tj61vFe+81VeNqx500da7+5ssQde97ES+03V+bAY8+bMMR+q2/g7CNj3mioRqe9dWTMGw3VqHaFg8ZqqEaexp83GqqRp/HnLU818jT+vOWpRp7Gn7c81aih8eeNP2of0Xca7HoHkq6qi+14A/KWQ+ot9skVWrFPRE4CSc1DKC63Uh3gx7uv/cJd4073dZdERORP1qQmI3z00UeMGzeOadOm0a9fP6ZMmcLw4cPZtm0bzZs3P6L9smXLGDVqFJMmTeLCCy9k5syZjBgxgjVr1tC1q/18p//85z+89NJLvPPOO6SkpPDII48wfPhwNm/erINRJ6Ann3ySw4cPe7VNba0B4uPjeffddwkIcJ+B+Y9//IMbbrjBq7yuB0FDQkJ49913ATCbzc74HXfc4XYA9Wi4HmQGmD59OoZhEB1dt4zVtdde6/UX4HFxcW6PX3zxRcrLy0lKSnLGLr74YrfHRyM8PNztcW2NunSpm9l/5plnOt+fo9VQjfr37++M9ezZ0+u84LlGvXv3dsbatWvXqLyeauRp/HnLU40aGn/e8FSjhsafNzzVqKHx5w1PNWpo/HnDtUatWrVi5syZnHPOOV7lEBGRk8NUYC9wPdDNx30REQ+sVVCwDpr1sT+2xNnPfLZVQdsx0PYmiOz4mylERHzOZIKEs+23WoYB216yX7ph13T76hapN0PK9RAU47u+iogcoxZRwfxvYyYrLvuI/Lwy9p6WSOLpjbi8lIiINFlNajLCCy+8wC233MLYsfZZ2NOmTWP+/Pm89dZbPPTQQ0e0f/HFFzn33HN54IEHAHjiiSdYsGABL7/8MtOmTcMwDKZMmcK///1vLrnEfj25d999l/j4eOfy6nJiybNUUBDjz7BWZtrEhQKwO7eU7/ZbiQk0uLxz3dn0n24uJL/KhCWo7jqUeQXZ5Mf4E+XvfnA1z1xMfow/A+NNdGxhP7h5sKCceXuqCTHDtd0inG2/2lrIvgoTnYPr8h4qOkR+jD9BJvBzmbieZxwmP8af3s3g1ER7jsLSKj7eXoHZBDf2qMu7cHshO0tNpATXnUFeXFZKXrQ/YBASWJf4sC2f/Bh/ukYa9E+xv+aqaivvbCoFYHSXUAID7Afcl+8uZGOhiYSwuiUwDWBfiA2C/Qnyqzub/3BVDvkx/qSGGgxpV/devrWuCKsBV7azEBkaCMDavUWsyofIMJdrKQJ7AyqojPHHn7rXUejI29picF7HurwzNhRRZoUL2wTQIsp+1tLWg8X8mG3QIsi9RpkUURTjj59RWPf+VOaRH+NPs0CDy1xqP3tzIYeqTAxtZSbFMU725JayYL+VaH+bW40yq+3vJdRdMqCs0l7PMDOMcqn9/K2FHKgwcXpzE11a2sdJdkE5c/ZUE2zGrUZ7K+yv2Wo65IxVVBaRH+OPvwnGutT++/QidpVBrxjomWSPF5VV8VF6BZggJqxu8sSB0oPkx/iTYq474F5trXS8BrixW6hzssXSnYVsKTbRKdxgQKr9/bFarby1wT5OokPrLr9wsHg/+TH+xPsXOGM2IC/GHwyDq9pbiAix135NZhGrD0HbEDi7fd3rmL6uiBoDIiwVzlh20QHyY/wJt5Q4YwaQH2alPNifi9sEEO+o/aYDxSzLMWhpMbjAZZx8sKGIEiuEBtXlyC20vw/+Qe7j73jsI7IjYO6qbxkzfJQz/uGiz8gqq/BqHzGwVQy9ThkOQFZeFh+uWESQCe447yrncsGf/ziXPUUlXu0jeseGMaDfRYB9H/G/RXMBg3uHj3Ce/fftiq/ZnHfYq31El8gghg24zFmjF7/8GAwrt5xxJqFRLQBYsvp71mTleLWPaBvmx8WD6872ee2bWVTWVHPNqT1p3tJ+NfZVm35i6Z5ML/cRcNXQuhq99d2nFFVWMqJjR9qkngrApu1rWJC+zet9xOhzRjlrNHPRF+SUlTG8bSKdOg2wt927lc/Xr/V6H3Hb0LoaffrjfDKLihjQqjm9T7F/CZmTu4+ZK3/0eh9x79Dzndee/ebnb9mSn0/vuEgG9LWvBFVaXswbC+cB3u0jbhswgOBI+xcES9YsZs3Bg3SODOacASMA+z7ipS8/9Hofcd2pPYhtaV+F5JeNP/NTxm7ahAYw4kz75WYM4P++/ohyq82rfcRlndJIatvHUft1LEjfTHyQH6OG1o2/t7+bRUFltVf7iOEpLenUeTAAuzK3M2fDKqL80T7iJN1HvBE3gA2BkXTO/IS21uq66zpXFUJJOia/YEI6PwAmPz777DMKtr5Jn67N6XTaLZjj7Gf4VBfvpGrPe2CyQLTLlIai7VBTACEp9uWdAWpKoWgzmAIJ7Xifs0blGZ9gK9pEUOwA/FsMtTctz6JyxzTA7L6UdsluqMqD4EQITrDHrJVQuB4wEdrhXufrqNg3D+vhVQRGnUpAov3vH2tNGRVb/mPfLrpX3ZL2pXuhMguCEiDU8WWhYYPDqwEISb0FU0grACqzFlGT+wMBYR0ITLG/7zagfMPj9nuR3cEcZM9RngXleyEwFsJS6l7HoTWAleCkUfhF2mtflbeS6oNf4h/cmiDHdboNoGzz82AtgYjO4G//LFORB2W7wT8KIlxWuTu8AYwKLC0vwtzMPpm3umATVXs/wRwYi6XDXc6mpdtetr+XYe2PqD3mMIjsVJe3cAtYSwhqPgT/+EH2GpXsoXL32/iZQwnu/EBd3h1vQXkmhLaFoGaO2pdA0RYwBUG0y5LrRTug5jCBzfoR0PI8RznzqUifiokAQro+7KxR2Z4PMIq3NVB7z+MkIKIbgcmX22tkraR88zOAQWinf9SNv31fYDu8Fiwt6pYlN6xweI39fnRPMDl+Py3bBxUH8Q9NJajt9XU12vA0UEVo2p0QbD9xoOLAAqz5PzVYe0/jxBzcEkvarc7nKv12ANSUEHLxDkyOJd4rB3xMTXAr+xniR8kPcF0zodTxb7DjZwBVQPVRZ7QzAS4L2lOG/f2wALW/0Vc7cnsr1OV+OfbPWBB1X+rUAJX1N/IybwVgBQKB2qnhVkfcWyHY3w8c/apx5Kytkg376/CWpxr5Y38vwDH+GpHXU43Mjnit0vobHQVPNWpo/HnDU40aGn/eaKhGnsafNxqqkafx542GauRp/HnDZ/uIvtOo3vkWVfu+gJJdsO6fsOEx+yUz4s+CUMeJCs59vR90uAcCI+3v5d4v4NBKypudhq31RfbxV1UCWyZRgx+VzfrVrbZQ+/+8JQFCjvx/ntTbIKSFPe/B7yFnIRVR3bAmX103/tb9CysmKmJ6gZ9j5JQdhIp9De/rk6+DiDR7jfJ+hv1zqQxNpSbtxrrxt/EpbNZyyqO6H8X/8+vBqISWI6DZKfYaFWyEjA+osrSkusPf6sbf1ikYlbmURXSFQMfv0VUFULK9wf/niR8Gzc+w16h4N+x6k2r/SKq6PFg3/ra/DmWZlIZ3rJs4Ul0MxVs9/D/v+H0w9nRocY69RpV5sPW/1JiCqOz2CH4mk3387XoXirdRGpYKlnhH7SugcAMN/j4Y2QOSLrXXyFoBG5+w16jrvzGZLfbxlzkbDq+hLCQZw/G7nPv/8y6/D5bthYos++9GKdfYa2QYsOExbEYN5e3vgeA4+zg58BXkLqXc0gKbW+1X0+Dvg8GtIe3muhptehajpoiy1FsgrI09b85SOPgVFYGxWCPaH1n7iE7gH+Y+TgJioOPddTXaNhUqsihNvgaiutjH3+FfIfMTKgOiqInsXJe3YDPYSj3/PugXCp3H19Vox5tQupvSlhdDXD/7+CvaDrvfpsocSnV0D5cxlQ7Wwnp/C9T+PhgIncbV1WjPB1C4kbLmQzFanGUff2UHYPsrVJsCqWpWd7IOJbugKr+B3wdPnH3EeSmB1JwTxobPqnn2sc/Zf01LwjOK6b5iI2aLlXD/Yn44eyDZpng6bt5GTEgBrSP2YQQbzA8/n5b+LZgwoCPxKdEcXvoAD61vS05oEhfsLiKxqgyzXzlry7NZ3v0UgrIr6bl4Df7BVsL8i1kxoB/7QlqTsnk3zYNySQjPITzsMJ+FX0aoqSXPntGRFmkxlKx6kn/9HMqesFTOOVBB2+JiAvwr2VK0j8W9emI6bNDvqxX4h1oJNZfya7/u7I5OoVX6AVqZDhITdojW4Rl8GD4K/Frz3/7tad0+lspNU5nwXQmbIzpxZp6NTvmHCQisZk/+Lr7u34eqkkAGfv4j5hArof5lbDmlI9sT0ojbkU+SLZOw0FK6Rf3K9IgbKfNL5OWeqSR1jMMv430mfrGDtVGn0vewwalZhwgMNsjO2srnA/tRVh7MwM9/JDCwmuCAcnZ1TmFrcicidhWTWrWLoLAqBkT9wKuRd1BstOY/3dPo2DkO/+wveP7z1SwN703XIj/6780jKMxE4YHNfDygD6VVoZw2/2dCjHIsAeUcaNeS9e27EZxRSfvSdALCbAyKXsz0sNHkkMSjXdrTu2s8AQXfMe3ThXwbdhopJYGctTsbS4SZ4uwtzD61KwV+UfT8bg1R5UUE+VeSnxzNmu498dsPXQ5tJiDCxulRP/JJyGVk+KUxrkN7BndPIKj8F2Z++gmzLQNJqAjm3G0HCI7ypzRvO3M6tCUnpDldf9hA7OF8ggKrKE4I5Ze+fanODqRH9joCI2z0ifyZbyzD2GLuxB1pHRh+SguCja3M+/T/mG4+i8iaMEZs3EdItD/lh/cwPzmeA1GtaLc8nZZZBwkIrKYm2sxPAwdQeiiU3nvWEBhj5ZTw1fxkOY31gT24okUKV/ZNJixwP0s+n8xLDCHQiOLqNRmERPtTVbyfb+LC2R2fTJs1GSTtySQgqBpzmJXFQ8+koDiKfptXEtishq4RG9lg6cQvQX0Z2iyJG/u3JTK8iPVzH+XJiqHY/OO47pddhEb4Y6vKZUEwbE9uR8tNB0ndshP/ICshgSUsuOAcDpdF02vDGkKiK+gQsZUMSyJLQ86gd1hr7h7QnuhYE3u/uZvx+cOoNjfj6vX7iQoy8DOKWGiUsLl9Z5ptz6fTr9scn+Uivj9vKHlVzei2aQORESWkhO+iIDic78OG0j6wJf8Y1IHYxEhyv7uN+3efTklQPCO25RFPJWZKWF5zmDWdux3TPuKp9Yk8f+fdyAnEaCIqKysNs9lsfPbZZ27xG264wbj44os9bpOYmGj897//dYs9+uijRvfu3Q3DMIydO3cagLF27Vq3NoMGDTLuvvvuBvtSUVFhFBYWOm979+41AKOwsNDr1yXeoRG3G5d96dz+nvWrDAzDCCitcMtrrqr2Ou/wVT86t5+ydYOBYRim6hrDsFY54yHFpV7nPXXjeuf232QddMaN0n3OeLPcfK/zttm127l9jkt89+bvnPGUvXu9zht7MNftvayNf7FstjPWa8c2r/OGFJS45TVV1xgYhvGfxbOcsfO2rPM6r395lVuNAksrDAzDuGPxXGfspi2rvc5rqrG61Sj8UKGBYRgXLVvsjD29Y32jxrBxaK0zR8KBbAPDMPqtWeOMzc7Z16i8G7bWfTY67NxlYBhGu207nLGNjciJYRgfrPzEmaP/5k0GhmHE781yxnIamXfiT3Vj6tL19hqF5bvvdxuTV/sI+037CPtN+4i6m/YR9pv2Efab9hH2W+fDG501uu2224z2+RsNDMNYtHGSM+/L2T94/z6U57jVaHDuzwaGYXy8/gln7OP8Xxs1hl33ESMPfmdgGMbLLv1dVHawUXlz9s1z5rhz3zwDwzAmbJnijDV2H7Fxx3Rnjgl75xgYhnHn9jedscbuIxZtfcmZ4+X9XxoYhjEys26cGY3M+/Hm553bf5xlr/3grEVueWMrcr3O+/Lmyc7tFx3eeMT4MwzD6Fzo/WdjwraXndtvrMj3PP7yfvE6750udXOtkXHwe2d8ZJb3n42RmZ/WvZE2W934y/rBGb7Ty5wYhjHYcBfriG90iU1oRN7O9fJ2dsQXucRebkTe2Hp5BzviH7vEPm5EXurlHemIvewSW9TIvDkuOWprNMEl1uh9hEuOCY7YnS6xRu8jXHLU1mhkvfenMXk91Whwvbyxv7F9QzdPNWpo/Hlzm+CyfW2NGhp/3twaqpGrkb+Tw9OtoRp5Gn/e3AbXy9tk9hFf9TaMGRiD81fVjb+iHYYxA+PjJSMbNYYNwzCMRecbxgyMkfvnu4+/GRiLFgxuVN4cwzCM5TcZxgyMO3f8z338zfAzNs7r3Ki8Gw3DMNZNMIwZGBM2POk+/j6wGDmzYhuVd5FhGMaO6YYxA+PlX+5yH3+fRBvGDBqV92PDMIzsH91qNLg272eJhjEDI7Y8x+u8LxuGYZQddKuRc/zN724YMzA6O36/8OY2wTAMw2Y1jBk4a+QcfwuG2Mdf1iKv8zprNNPsViPDMAxj6Sj7+Mv42Ou8zhp9GOJWoxzDMIw1D9jH37aXvc7rrNGsWHuNqorqxt/Wqfbxt36C13mdNfoi1V6jkj1142/ffPv4W3mn13mb4j4iNfY0442bMV54715nrP+T3xgJCQmG7X2TEbs9u1F5O3a+3JhwGcaH71zhjPV6bbmRkJBgVL/vb6SuSG9U3q6D7zJuGIix9N3T6+r58UYjISHBKH8v2Djtq2WNyttj5JPG6e0xMmYmOmPJi3Ybyc2TjYJ3oozzP5nXuLx3vm7ER2JYZ5icsWZbco2OsR2N/W/GGTe8+3aj8nabMNswmTCMGRiWAvv3GZb8MuPUmFONzVNbGve/+Z9G5e388iIDMKrfxYjblVU3JqL6Gz883cp47tX7G5W33cdrDcAoeQujw6otzviAlEuNGeNbGTNeHtWovEmLdhmAkf0axmmL6mo/qPcdxuPXxxuLXh7UqLxxG7ONIIKM7ZMxzp9fV/tBwx81rjkzytj5akqj8gbnlhrRRBsrHscYPestZ3zgNS8Z/TrHGpX/CzSosTYqd2taG/PGYzw485m6vPd96PgsY1jyvf/eC+P39xEdl20y5MTi95szFU4geXl5WK1W4uPj3eLx8fFkZWV53CYrK+s329f+601OgEmTJhEZGem81V/WXE4s4QF1wzw00H5OQnCF+7kdZpu38/ohwq9um5Ag+wzwwKpq6ubfQ4DN2/n3EOlynkyAv72/ftXWulnmgMXwPm+E1fP5LIGWMOf9YK/PQ4DQGs/ns4RZ6s5xCPHz9nwMCK72XKMIS5AzFuLv/S4ssKYK1xoFWu3nMkQF1q0+EFrvEhFHw2x1r1GwI2+0X917GhR49GdruSevO3ci1GofH9Eu5z2Z/c1HbHI0/IPqah/mqH1UTWPOI3IX7DKmwh21j6hqzPk+7iKC6mof7njNYRWNOZ/KnfYRdtpH2GkfUUf7CEcu7SMA7SOc/MzU1ig5OZnq2pcc5HI5InP4EZv9LpPJrUaYHed5Wlzy+ofQKC77COfZhYEuyz2bGrlYXkDdKhX4O15zYKTntt6oXTkAIMCRNyDMc1tvBLrmdZwNabZ4butV3ti6+7Vn5fnV3583Yqy5vg/+jn6a/HDdR+Dn/f9HBES5bF/7/0MD48+rvA2Me9d4Y8aw6/gtTq+7H552ZFsRkZNBeXbjtw1Ntv9f5OeyHzcH2WPH8n9eSJIjR6h73D8czMGetzmqvK3tef3r/T8f1Mx9/+8tS4I9Z/3/m4ITjnwubwTFeO5v7etorNqc/vXe3xBHPU2N+3sOvwBH3erVKLSNY5w04veIWgFRR9YotHacBHnc5KgENffw/iZ6fh3eCG55ZN7a2DGNYcdrNrn8rmeJc+Q9hjFc+1k2udQoIOLY+/sn7yOsfqGUV5sa2Oi32bBRWB1Om6qdxO8+CEANNWRlZVFBGL22rWp03uLqEBJqDpC4LcMeM9nIysqizIik366fG5XXipXS6kDCrYdJ3bgdAMPPICsri2JrFKftX9bIvDWUVoBfdSWd1m60B00GOTk5FFSF0+fQSvwrvV2nx97faiuU1/jTY+Vae1oMcvNyyS0L5ZTStQQXef/9j81k/7u7pCqAPmtWOrprkHcoj4PFAXSu3kxEXuFvpfDIcOQtqgri9I0/OeOHCg6x95CJVGMHzQ7kNSKv/buGwxUhDNi+xBkvKC4gI7ealuYDtNh9wPu8jjWkDleGcfq+n/CvsNeouKyYjKxSYgIKSUrf04i89v4eqgqnT+4KLIX2GpVUlJBxoIAg/xrSNqX/VooGEhsYGBRURXBK0VrCc+2rCJdXlbH3YB42vwA6r9vsfV7sn7mC6gg6lW8iZr99ZeoqaxVZWVnUmCz02LCu0Xl/ax/RI6txeeWPYzIMw/tv93zgwIEDtGrVimXLlrldj/zBBx/khx9+YMWKFUdsExgYyDvvvMOoUXVLtL766qs89thjZGdns2zZMs444wwOHDhAixYtnG2uvPJKTCYTH330kce+VFZWUllZ9yV/UVERiYmJFBYWEhER4XEbOT60LKKdlkW009Kpdlo6tY72EXbaR9hpH2GnfUQd7SPstI+w87SPmH3NbHZ8tYPzXzmfbtd0oz7XGs2YMYPrbrmFgYMHs+irr7SPQPsI7SPs/rB9RHUxpRkfQekuQno8XTf+NjxBjTkE2l4PluZHlVe/R3jOq32EnfYRdk1uH4Hvf4/4Pb+5jzAMWHw+1VnfUXX2D9DcfvknKg/Zl/wPS/7N3NpH2GkfYad9hN1JtY9wxE7k3yN27NvH3gMHGNC3LwFAWVkZzVu0wBoQwAdvfcCs62fxo/+PvPfte/TqZb982tatW6muriY1NZWQEPurP3z4MHmZmYSHhZGamuqs0c6tWzEqK+1tw8IoBwoLC8nMzCQ4OJi0tLrJqtu3b6eiooLk5GTn8Zri4mIO7tpFiMVChw4dnDXas2MHNaWlJCcnExkVRRlQWlrKrl27CAgIoGPHjs68u3fvpqSkhFatWhETY5/gXV5eTmZ6OkH+/nTp0sVZo30ZGVQUFNCqVStiY2MpxX5cKT09HZPJRNeuXZ159+7dS0FBAfHx8TRvbv99trq6mp2bN+MP9OjRw1mjA/v2UZafT3x8PAkJCZRiv+Tm5s32g8VdunTBz88+Eg8ePEheXh6xsbHO41+GYbB1/XoCHG1N/v5UANlZWRRnZ9OsWTNat27tHH8bNmwAoGPHjgQ4Ts7JyckhOzubqKgotxN10zdtwq+mxt42KIhy7CcZF+zfT2RkJG3atHGOv82bN2O1WklLSyM42P6JOnToEPv37ycsLIyUlLrLvezYuhUqK0lLSyMkNJQyoKCggLyMDEJDQ0lLS3PuI9LT06msrKRNmzaEh9snpRUVFZGRkYHFYqFdu7pL/ezesQNraSlt2rQhMjKSUqCkpISDO3diCQqiY8eOzvG3a9cuSktLad26NdHR0eAY4zt37sTf359Oneou9ZO5Zw9VhYW0bt2aZs2aUQpUVFSQuW0bAWYzXbt2dY6/zMxMCgsLSUhIIC7OfjJCVVUV27ZtA6Bbt7rvJfbv20d5fj4JCQnEx8dTBlTX1LBz0ybMQPfu3akxmajCfjw1Pz+fuLg4EhLsl3Cx2Wxs2rQJgM6dOzsv45qVlUVJdjaxsbG0atXKWaOt69bh72hrCgigEsjOziYnJ4fo6Ghat27t7NvGjRsxDIP27dsT5DhZKDc3l8IDB4iKiiI5OdlZo+2bNmGqqaFDhw4EWCxUAPn5+Rw4cIDw8HDatGnjzHss+4gmcyb+X0STmYxQVVVFSEgIs2bNYsSIEc746NGjKSgo4Isvvjhim6SkJMaNG8e9997rjE2YMIHPP/+cdevWsWvXLlJTU1m7di2nnHKKs83gwYM55ZRTePHFF4+qb0VFRURGRmoygoiIiIhIE1Z8oBhLtIWA4N8/U2zp0qUMHDiQtm3bsnPnzj+hdyJyhOpi+KwF1JTC0CXQfKCveyQicvRK9kBYm7rHP98Iu9+FUydDx3t81SsRkaOWn5/PrFmz+OCDD1iyZAkdO3Zk06ZNmEz26R4//fQTPXr0YPEDi1k9bTWR7SO5Z8s9mPwat2KCiIg0TU1mckhgYCC9evXi+++/d8ZsNhvff/+920oJrvr37+/WHmDBggXO9ikpKSQkJLi1KSoqYsWKFQ3mFBERERGRk1N4y/CjmogA9onPYD+LxdaIS3WIyHHgFwC9pkLyKIgbUBff8Sasn2g/o7hWRR7k/AiH6y3ZeWitPe7atuqwPXZojXvbw+vt8Ypcl7aF9lh+veWCCzba465LrleX2GN59VZ2LNxij5e5LANbU2aP5S53b1u0zdF2X13MWmmP5Sx1b1u8wx4vzaiL2aodbX8E13NTSnbZYyW762KGra6t66WDSjPsseId7s9X29bqcs5m6V57rKjekrG5y+xx18v1lB2wxwq3uLfN+9kery6pi5Vn2WMFm9zb5v/iaFtUF6vIddR+vXvbQ2vs8arDdbHKfEfbX93bHv7VMU7y62JVBY5xstq9bcEGxzjJqYtVFzlqv7Je202OceJyqdCaUkfbektFF2511H5/Xcxa4RgnP7m3LUp31H6vS9uquhq5Kt7pqP2eupjN6lJ7l3ORS3Y7au8yCc8wXNq6nAdcmumo/Xb358v9yTFOXM6nL9vvqP3Wem2XO8aJy7ns5QcdbestF5y30lH74rpYRY5jnGxwb5u/ylH7Ape2f+I+oqYUvu4Lc9PcP/fdJsAlmUdMRJg6dSpms9nrW1VV3Wfxuuuuw2w2u514tWzZskbl3b+/bgzed999mM1m/vWvfzlj27dvb1TeX3/91Zlj0qRJmM1mbr31VmesoKCgUXm//fZbZ44333wTs9nMZZdd5vYeWywWr/POnDnTuf3nn3+O2WxmwIABbnkTExO9zuupRh06dHDL27NnT6/zeqpR7Zndtc4991yv8zZUI0/jz5tbQzXyNP68uTVUI0/jz5tbQzXyNP68uTVUI0/jz9vb8dhHxMbGcvvtt/PDDz9gGAaxsbEUFRVRXl7O7bffTkREBGFhYZz12Fl0ubILI98dqYkIIiJ/QU1mMgLAuHHjeOONN3jnnXfYsmULd9xxB6WlpYwdOxaAG264gYcfftjZ/p577uHrr79m8uTJbN26lYkTJ7Jq1SruuusuAEwmE/feey9PPvkkc+bMYcOGDdxwww20bNnSbfUFERERERERVy1btsRsNlNdXc3Bgwd93R2RvyazBVLHwhkzwXEGHoYBm5+FjY+5H4DM/RG+GwSr/uaeY+Ut9ni+ywSBvJX22Iqb3Nuu/rs9nvNDXaxggz227Fr3tmsfsMcPfl0XK95uj/14uXvb9Y/Y4/tdVnws22uPLT7fve2mp+3xjA/rYpW59tjCs93bbplsj+96uy5WU2KPfTcIDJeDzOmv2mPbp9XFbNV1bWtcFgrf+ZY9tnWK+/N9f5Y9XuVywD5jpj22eZJ728Xn2ePlLgfW935qj22Y6N52yaX2eInLAfADX9ljv/7Dve1Po+xx10kK2QvtsdX1zjT/eaw97jqZIG+5PbbyNve2K++wx3NdJnwcXmuPLR/t3nb1ffZ4lsvJMYVb7LGfrnJvu+6fjtrPq4uV7LbHllzi3nbjY/Z45v+zd+dhUZVvH8C/w77vm4wygIorKiLu+55maWZpmmsulZqkvWplbv3UUtvQMssl97Ss1FLEBXFXEBQ3BEVGZBcY9oFZ3j8mDpwAE0IH9fu5rrlk7nOfc+6Z5zgM5zzneX4pixUm62LHB4hzb3yui9/dVhYrziprz/JivtHFbv9YFlMXluVqynUuiVuvi91aI95GaW5xuXmg47f8fZysEuce66uLF5XrqCPfrYtd+1ScGzZEFy/foSZxny52+SNx7qkRunhOTFks+bAudmmOOPfsm7p4+Y4HT/IzwshSN0+7xEB3zJWylGHb3mPo168ffvvtNyHcqVMnaDSaaj/K02q10Gg0+OcAuc/rdv8Zr8l2q6qN2334+17TtuN2xdutK//nAKBNmzb4/PPPkZCQgLCwMNja2mLevHn4/vvv8dprr0GlUsHSxRKv/vwq6neoDyIiev4Y/XtK3fH6668jPT0dn3zyCVJSUtCmTRscOnQIrq6uAHTzq5TOhwMAnTt3xo4dO/Dxxx/jww8/ROPGjfH777+L5uP5v//7P+Tn52PKlCnIzs5G165dcejQIZiZmVXYPxERERERPdtuHbiF8HXh8OrjhU6BVY+WZmRkhPr16yMhIQFyuRxSqfQJVklEVdJqgFZLgDubAMNyMzobWQE2TQALD3G+pUx3gd6o3KzHRpa6XEtPca6Fhy5uZF0u17yK3Pq6uHG5qRwNTXUxM1dxrrn737l2ZTEDk7/39Y+pIM3r6eIm5e6UlBjpYpJ/jOxi5vp3rmO5oIEu9k9mzn/X5lwuKCnLlZS7l8XUqfLXYdNE18FBYlgWM3H4O9dNnGvdWPe+G5Sr2cROl2vu/o/cRoCJLWBgWi7X9u/2/MdFDStvwMBI11GllJH137kNxLmWnoBGCRiWm6FbaHvZP3JlQEmW7jgqZWjxd67XP3Ib/N2e5Y4TQ7O/X9s/fldYSP9uI9uyWGnbi9oNZceJiX25XGNdrPxrAHTvd4XjxLCKtnfRxU2dyuWWb/tyd7Calh4nLuJtlOYalGt7U8fKjxNrH937Lil3StLE/u/3p54416qRri4Dk3K5dpW/l9YNdf8fy7e9sU3lx4mlFwCtfj8jAtYhu8gEISejMMSlSDgPGRkZiSNHjsDDwwPDhg0DoLvD+t69ezAyqt5p3NK5vQFg7dq1WL16tTB/NgC0a9euRh0qS+e0BoAlS5Zg3rx5sLQse3+8vLxqtF1Hx7JjfubMmZg4caIwjzgA2NjY1Gi7pXN7A8Do0aMxZMgQYT7rUnK5vNrbtbUt+387cOBAJCcni95zQNee/7zo+28qayNDQ0NRzpEjR6BSqf656kNV1kYSifgO9V27donuln8UVbVRZcdfdVTVRpUdf9VRVRtVdvxVR1VtVNnxVx1VtVFlx1911cZnhLGxsei9K7VgwQKcOXMGi95bVO3PLiIievZItP/s7kbVlpOTA1tbWygUCtjY2Pz7CkREREREVCdd/PYi/nr3L3j19sLYo2Mfmtu9e3ecPHkSO3fuxMiRI59QhUT0bwoLC3Hw4EFkZGRUa73evXujUaNGAID4+HiEhITA1dUVL79cdof61q1bUVhYWNUmKtW5c2fhpoiUlBTs27cPtra2eP31srvkf/nlF2RmZla1iUr5+fkhICAAgG5o7N27d8PU1BTjxpXdqf/nn3+KhrR+FM2aNUO3bt0AAEVFRdiyZQsA4K233hJuADl69Chu375d5TYq4+npif79+wvPf/jhB2i1WowZMwYWFrqL6adPn8a1a9eq2kSlqmqj4cOHCxdILl26hPDw8Ko2Uamq2mjQoEGoX193cfv69es4depUVZuoVFVtVNnxV12VtVFlx191VdZGlR1/1VVZG1V1/FVHZW1U1fFXHbX1GZGUlITDhw/j/Pnz0Gg0OHz4MPr16wcAiIiIwKlTpzBo0CA0bty4WvUREemLWq3GmTNnhM9vALi57yZ2D9uNLnO7oPf/elfoWEFERM8RLf1nCoVCC0CrUCj0XQoREREREf0HWfFZ2tOrTmuTI5P/NXfMmDFaANrPPvvsCVRGRJXRaDTaO3fuaCMiIoRYVlaWViKRaAFU67Fjxw5hG7/++qsWgLZLly6i/bm5uVV7u19//bWw/smTJ7UAtD4+PqLt+vr6Vnu7H330kbD+zZs3tQC09vb2ou326dOn2tudMmWKsP6DBw+EeElJiRAfOXJktbc7bNgwUW2GhoZaANqkpCQhNmPGjGpvt6o2unz5shBbunRptbdbVRuFhIQIsXXr1lV7u1W1UWXHX3UflbVRZcdfdR+VtVFlx191H5W1UVXHX3UelbVRVcdfdR6P4zOiRYsW2n379mmJiJ5WRUVF2oEDB2oNDAy0R44cEeKHAg9pF2GR9vAHh/VYHRER1QUcI4eIiIiIiOhvdp526Dy78yPlenjohnJOSEj4l0wiqi0ajQYlJSXC8M07d+7E6NGj0aVLF+EOdTs7O7z22msoKiqq1l14pXdSA0C9evUwdOhQNGvWTJTzwgsvICsrq1o1e3t7Cz87ODhg6NChcHcXT0XQu3dvNGzYsFrbLV+blZUVhg4dCisrK1FOly5dREMuP4o2bdoIPxsbG2Po0KEAxENFt2vXDkVFRdXabocOHUTPX375ZWg0GtFQ3K1atRL296iqaqPyI1c2adKk2tutqo3KDxHu6elZ7e1W1UaVHX/VVVkbVXb8VVdlbVTZ8VddlbVRVcdfdVTWRlUdf9VRW58RlpaW6NmzJwYMGIAGDRo8NJeIqK4zMTFBvXr1YGJiIhqVasAXA9Cwf0N49vTUX3FERFQncJqGWsBpGp6cadOm4c6dO1i+fDn8/f0BAOfPn8eCBQvg4+ODNWvWCLmzZs3C9evXsXDhQnTp0gUAcPnyZXzwwQeQyWT44YcfhNx58+bh0qVLmDt3Lvr06QMAiImJwYwZM+Dq6oqtW7cKuYsWLcKZM2cwa9YsDBo0CABw9+5dTJkyBba2ttizZ4+Qu2LFChw7dgzTpk3DK6+8AkA3LOLYsWNhamqK/fv3C7lffvklDh48iPHjx+ONN94AoBvq8LXXXgMAHD58WMj97rvv8Ntvv2HUqFGYMGECAN3whS+99BIAYN++fcJ8g5s2bcLOnTsxbNgwvP3228I2Socn3L17N+zs7AAAO3bswObNm/HCCy8gMDBQyB0yZAiUSiW2bNkCNzfdXJ979+7FunXr0Lt3b9H8bCNGjIBCocD69evh6ekJAPjrr7/w1VdfoXPnzli0aJGQ++abbyI1NRVBQUFo0kQ3x+TRo0fx2WefoW3btlixYoWQO3nyZCQkJGDlypVo3bo1AN3wkIsXL0bz5s3x1VdfCbnTp0/HrVu3sHTpUuGEQ0REBObPnw9vb2+sW7dOyJ0zZw6uXLmCjz/+GN27dwcAXLt2DYGBgXB3d8fmzZuF3I8//hgXLlzAnDlzhPfv9u3bePvtt+Ho6IidO3cKuUuXLsXJkycxffp0oV3u37+PCRMmwNLSEr/99puQu3LlSoSEhOCtt94S2jsjIwNvvPEGDA0NcfDgQSE3KCgI+/fvx5tvvok333wTAJCXlyccX3/99ZcwF9sPP/yAPXv2YMSIEZg8eTIAQKVSCcft3r17hRNhW7duxdatWzFkyBDMmDFD2N8LL7wAtVqNHTt2wMlJN4fo7t278eOPP6Jfv3744IMPhNxhw4YhPz8fmzZtEubN3rdvH9asWYNu3bphwYIFQu6oUaPw4MEDfPfdd8JJ18OHD2PVqlVo3749Pv30UyF3/PjxSEpKwpdffokWLVoAAMLCwvDpp5+iVatWWLVqlZBbG58R8+fPR2BgoDBMJhERUVXWr1+PqVOnwsLCAvn5+UL8wIEDKCgoQN++feHgoJuv++bNm7hy5Uq1tm9hYYEXX3xReB4SEoKsrCx07dpVuEgWHx+PixcvVmu7hoaGGD58uPD85MmTSE5ORkBAALy8dHOfJyUlVXvocQB45ZVXhO8iFy5cwN27d9GqVSs0bdoUAJCZmYkjR45Ue7uDBw8W5jq+fPkyYmJi0KRJE+F7YX5+Pv78889qb7eyNvL09ET79u0B6L477d27t9rbrayN6tWrJxq69tdff4Vara7WditrI3t7e9H3ltLjrzoqa6Oqjr/qqKyNqjr+Hkar1SIhIQEnT57E6dOn8cknn2DWrFkAgLi4ODRv3hxdunTBsWPHOAQwET1zVq9eja+//homJiaIi4sT4vPnz8e2bdswZ84cvPfeewCArKwstGrVCoCus2TptB1LlizBDz/8gHfeeQfz588HoDuPVDoVxI0bN4TzAytXrsQ333yDCRMmYMmSJcL+PDw8oNVqERERARcXFwC6eeZXrFiB119/XfS3edOmTZGfn49Tp05BJpMBADZu3IiFCxfipZdewtq1a4Xctm3bIj09HSEhIcLvol27duGDDz5Av379sHHjRiG3S5cukMvl+OOPP9C2bVsAwB9//IHp06ejS5cu2LVrl5Dbt29fxMTEYNeuXcLf/IcPH8akSZPg5+cnmrLkpZdeQmRkJDZu3Cj8Tj116hRGjRqFpk2biqZNef3113HmzBmsWbNGmKLj0qVLePnllyGTyUTfnyZMmIAjR45g1apVwrQvN27cQP/+/eHs7IxLly4Jue+++y727duHJUuWCOf67t69i27dusHKygo3btwQcmfPno3du3dj3rx5ePfddwEAaWlp8Pf3h4GBgaij7IIFC7B582a89957mDNnDgAgNzcXzZs3BwDExsYK5xCXL1+Ob7/9FpMnT8Ynn3wCQDf8fun5vejoaOEc4ldffYXVq1djzJgxWL58ubC/Ro0aQalU4vz588J3ofXr12Pp0qUYPny46Pxdy5YtoVAocPz4cWEKlK1bt+LDDz/ECy+8gPXr1wu57du3R3JyMv766y/4+voC0E2fExgYiB49emDbtm1Cbs+ePXH79m388ssvwnnBv/76C1OnTkX79u3x66+/CrkvvPACrl69iq1bt6Jnz54AgNDQULz55pvw9fXFX3/9JeQOHz4cFy5cwPr16/HCCy8A0J1zevXVV9GwYUOEhoYKuWPGjMGJEyfw1VdfCd97rly5gsGDB8Pd3R3nz58XcidPnoxDhw5h2bJlwrm+uLg49OrVC3Z2doiOjhZy33vvPezduxcLFizAlClTAOjON3bs2BGmpqZ6+4woLCzE7du3hWmBiIiIyuPICPRUOXfunNChoFRGRkalJ8YuXryIM2fO4J133hFiWVlZCAkJEb5wl4qIiMCRI0dE8zbm5OQgJCRE+KOpVFRUFEJCQjBixAghlp+fj5CQEOFibano6GiEhIQIF38B3Re5kJAQYb7FUtevX0dISAh69OghxEpKSiqdJzImJgYhISHC/IyA7o+D0tzyJzXj4uIqfc2luSUlJUKsdM7Df77mY8eOoaCgQHTni1wuR0hIiOiOA0D3hT0jI0N0Qv7+/fuVvuaTJ08iISEBOTk5QiwlJQUhISEV5m48c+YMrl+/Lmrn0j9Wy+8L0P0hEB4eLnzRBnQnVUNCQoSToaXCw8Nx4sQJ4WI9oOsEEhISIvwhVCoyMhIhISFCZxFA9wdcSEhIhbtmrly5gpCQENHckQUFBQgJCYGtra0o99q1awgJCRGdRFYqlQgJCRFO5pe6efMmQkJC0Llz2R2bKpVKaM/y79utW7cqvGatVivkqlQqIX779m2EhIRUmJPyyJEjUKlUUCqVQiwhIaHS13z8+HEoFArRye979+5V+prDwsKQlJSE3NxcIZaUlISQkBAYGxuLck+fPo24uDhkZ2cLsdTUVISEhKC4uFiU+18/IyIiInDw4EHk5eWxMwIR0XNMpVRBfkqOrDtZ8J/sX2Ve6YnZf95ZOX36dCQkJODChQvChe79+/fj//7v/6pVh0wmE10M/vDDDxEeHo4DBw4Iv4dPnDghnLB+VBYWFqKLwStWrMBff/2FTZs2CRe6IyMjRXOlP6q8vDzh+8u3336Ln376CZ9//rlwceH27ds12m58fLzQGWHbtm1YtWoV5syZI3zPSU9Pr9F2K2ujcePGCZ0RlEpljbZbWRsNGjRI1Blh7Nix1e40UFkbtWvXTvS9pfT4q47K2qiq4686Kmujqo6/6jh37pzwc8OGDZGdnV3hbw0iomfFmDFjsGfPHkRFRYniWVlZSExMFJ1T0Wg0SExMrLCN7OxsJCYmQqFQiOKlueXPJeTk5CAxMVH0N3hprlarFX3vyc3NRWJiYoW/t+/fv4+8vDzR+am8vDwkJibiwYMHotykpCSkpqaKzk/l5+cjMTFRdJc1ACQnJyMxMVF0LqCwsBCJiYlIT08X5aampiIxMVF0PqOoqAiJiYnCDRSl0tLSkJiYKDrvpVQqkZiYCHt7e1Fueno6EhMTUVhYKMSKi4uRmJgIExMTUW5GRgYSExNF561KSkqQmJgoer0A8ODBAyQmJiIvL0+IqdVqJCYmVhjhprTty59TKW370ovLpUrbvvxxotVqKz1OFArFQ4+T8m1fepz8s+1L3/PybV96nGRmZopyk5KSkJWVJTo/Vdr2/zxOStu+/PtWUFBQ6XGSkpJS5XFS+j2qVOlxUr7tS4+T0k43pUqPk/JtX3qclH5PLVXa9uW/65W2/T87Tpa2ffnjRKVSVVgf0J3frOo4KT+KDfBkPyPMzc3RsmVLFGYV4syqM+j2YTeYWIr/PxAR0fOLnRHoqbJs2TJkZWWJelm2adMG27ZtE04ilvrkk0+QkZEh3B0N6IZv3LZtW4ULo/PmzcP48eNFF3i9vb2xbdu2Cl8mAwMDMWLECNEQf1KpFNu2bavwpe+dd97BoEGDRDU4OTlh27ZtMDQ0FOVOmjQJPXv2FF04tra2FvXsLTVmzBgEBAQId4kDumETS3PL1zFixAg0b95cGHmgVGlu+T9oXn75ZXh6elYYHnTDhg1Qq9WizhYDBw6Es7OzcBK+1HfffQelUin6w65Xr17Ytm2baEhDQNeLOj8/XzRsZOfOnbFt2zZhBIZSn332GRQKhWgIRH9/f2zbtq1CJ5AlS5YgMzNTNLxjy5YtsW3btgp/RH700UeYPHmycMIZAHx8fLBt27YKf+zNmTMHb7zxBjp27CjEPDw8sG3bNpibm4tyZ86ciaFDh6Jdu3ZCzNXVFdu2batwsX3q1Kno168f/Pz8hJi9vT22bdtW4Q+U0uO0tBc4oLugUNqe5Y+rUaNGoU2bNqL3zNDQUMgtf8L2lVdeQePGjeHj4yPa308//QStVit630p7cZdvN0DX072kpASurq5CrG/fvti2bZswjHWpoKAgFBYWiuLdunXDtm3bKnRyWL16NXJzc0W1tW/fHtu2bavwh2FtfEa88cYbePXVV0FERM8vRYICW/tuhaGJIVqNaQVjc+NK83r27Ilx48ZV+A7YsWNHeHp6ir5LNGjQQNTp9FH88/tQ27ZtYWlpKfqd5ubmVu3tlt79VsrX1xf5+fmi/Tk4OFR7uwBEJ8CbNm2KHj16iIagtra2rtF2y9fs7e2NHj16iL6LmJmZ1Wi7lbVR6UV5QPd6arLdytqo/Pc3QPfdp7rD3FfWRv/8nl96/FVHZW1U1fFXHZW1UVXH379xcHBA165d0a1bN9H3ZolEwo4IRPRMc3V1xc6dOytc9J0/fz4mT54s+hva1tZW6DhW/nxCYGAgRo8eLfp73cTERMgt/zk6bdo0DB06tMLNJ6UjMTk6Ogqx8ePHo1+/fqIYoLsBQaPRiM4NjRw5El26dKlwXiY4OBgqlUp0Q8jLL7+MNm3aVDh/98cff6C4uFj0u69///4IDw+vcA5n165doju7AaB79+4IDw+v8Pts8+bNyM/PF50PCwgIQHh4eIXzPevWrUNubq7oonbLli0RHh5eoTPCl19+iUWLFolu+mnUqBHCw8Mr3HyybNkyfPDBB6LfyfXr10d4eHiFDgaffPIJ3n33XdH76+joWGmnwQ8++ADjx49HvXr1hJilpaWQW77m6dOnY8SIEaJzLQYGBkJu+RGB33rrLQwePLjCObkzZ85Aq9WKjrUxY8agZ8+eFc7LHDt2TDTyAqAbfSAgIEAYgaHUn3/+iZKSEtH3tMGDByM8PLzCSMW//PILlEql6DxS7969ER4eXmGqnG3btqGwsFB0/HXq1Anh4eEVvl/8+OOPyMvLE32/8fPzQ3h4eIW/B4KCgpCTkyN6bU2bNkV4eHiF84IrV67ERx99JDpH5unpifDw8Arnj5csWYJZs2aJzrG6ubkhPDy8wjnEJ/0ZAQDBs4JxectlpEal4o0/36iwnIiInk+cpqEWcJoGIiIiIqJnh1arxYaOG+Do44h+K/vBys3q31ciIiIiqiVxcXG4f/9+jTrEERHpS1xwHA5MPYDhO4ejQacG/74CERE9F9gZoRawMwIRERERERERERH9V7m5uejUqRNiYmKwc+dOjtxHRE8VdYkahsaG/55IRETPDYN/TyEiInp+pKWl4erVq6I5AImIiIiIiIieBENDQ7Rq1QrOzs6i6USJiOoqVZFK+JkdEYiI6J/YGYGIiKictm3bwtfXF9evX9d3KUREVAcUZBRApVT9eyIRERFRLbCwsMD27dtx8eJF0VzvRER10a0/b2FNkzW4HXJb36UQEVEdxc4IRERE5bi5ucHJyQl5eXn6LoWIiPRs+6DtWOm8EglhCfouhYiIiJ5xycnJws8SiQRSqVSP1RARPZrTn52GQq7A7WB2RiAiosqxMwIREVE5Fy5cQHp6Onr06KHvUoiISM8snCwAAGnRaXquhIiIiJ5lMTExaNasGd5//32oVByRiYieHqMPjkaPRT3Qa2kvfZdCRER1FDsjEBERlWNgwF+NRESk02tJL8xJnYNO73fSdylERET0DAsJCYFCocCFCxeg0WhEy44tOIYgnyD82OFHUTx4djCCfIIQtTlKiOUk5iDIJwjrWq8Tb+Nj3TYufndRiBVmFiLIJwhBPkGi3LD/hSHIJwhnvzgrxEoKSoTckoISIX72i7MI8glC2P/CRNsozS3MLBRiF7+7iCCfIBz7+Jgod13rdQjyCUJOYo4Qi9ochSCfIATPDhbl/tjhRwT5BOFB7AMhdvXnqwjyCcKf7/wpyv2p108I8glC6pVUIRazLwZBPkH4ffzvotztg7YjyCcIiecThdjtkNsI8gnCLyN/EeXuHr4bQT5BuBt6V4jJT8sR5BOEnS/tFOXuHbMXQT5BiD0YK8SSIpIQ5BOErf22inL3Td6HIJ8g3Nh7Q4il30hHkE8QNnbdKMo9OPMggnyCcGXbFSGWfTcbQT5BWO+/XpQbMjcEQT5BuPTjJSGWl5qHIJ8grG2+VpQbujgUQT5BOB90Xogpc5RCe6pL1EL81GenEOQThFOfnRJi6hK1kKvMUQrx80HnEeQThNDFoaL9rW2+FkE+QchLLRuZ8tKPlxDkE4SQuSGi3PX+6xHkE4Tsu9lC7Mq2KwjyCcLBmQdFuRu7bkSQTxDSb6QLsRt7byDIJwj7Ju8T5W7ttxVBPkFIikgSYrEHYxHkE4S9Y/aKcne+tBNBPkGQn5YLsbuhdxHkE4Tdw3eLcn8Z+QuCfIJEUxcknk9EkE8Qtg/aLsr9ffzvCPIJQsy+GCGWeiUVQT5B+KnXT6LcP9/5E0E+Qbj681Uh9iD2gV4/I0wsTdBzYU8YmxuDiIioMkb6LoCIiIiIiKgusvO003cJRERE9ByYPn066tevj44dO8LExES0rOnLTRF3MA6ZtzNF8fyUfGTGZqIou0iIaVQaZMZmwthCfFEwLzUPmbGZos4BGrUu958K0guQGZuJggcFQkyr1Qq5Wq22LPfB37npBaJtlOZq1GUdKwozC5EZmym68AwAmXGZKCkogUZVlluUXYTM2Ezkp+SLcrPuZKEgowDq4rKL4socJTJjM+Hc3FmcG58FRYICKmXZSBPKXF2uncxOlKtIUCAzNhOqwrLckvwSZMZmwtLZUpwr1+UW5xeX5RaUVPq+5yTm6HLzynJVRSrd+6MVpSIvSddG5S/iq5VqZMZmoiS/RJybrMstUpS1vbpEl2tqayrKzU/VHSeFWeXa/u/jxMBIfDNGftrfuQ/KcrUabeXHScbfbZ9RedtrNWUvsPCBru3z0/Ir5GpUGlHbF2b9nZv6j9zbmVAqlKIOEUUK3XGS11p8TGXHZyM3KRdqZcXjxLGxozj3bjYy4zKhKipr++K8YmTGZsLa3VqUW9r25TvkFOfrcs1szUS5OfdyKrSdqlDX9obGhqLc3Pu5urbPLWt7lVKXW/5YB4DcpNyKx0mxru1LR3Ur9SQ/I4iIiB5Goi3/DZJqJCcnB7a2tlAoFLCxsdF3OURE9B+EhoZi48aN8PX1xQcffKDvcoiIiIiIiOg5lxGTgaLsItTvUF8UK8gogL2XvXDRVFWkQlJEEiQGEjTo1EDIzYzTdQKw9bCFbQNbALqL1/cv3AcAeHTxEHKz7mQhNzkXNvVthIv2GrUGied0owbU71gfBoa6i9jZCdnIScyBdT1r2HvbC9sovXNc2l4qXHhV3FNAIVfAytUKDo0chNx7Z+9Bq9HC3d8dRma6++Zyk3KRFZ8FCycLODVxEnITzydCo9Kgnl894WJqXkoeMm9nwtzBHM7NyjokJIUnQaVUwbWVK0ytdRfo89Pz8eDWA5jZmsGlpYuQm3wpGSWFJXBp6SJcVC54UICMmxkwtTaFaytXITflcgqK84rh3MwZ5g7mAHSdJ9KupcHE0gRubdyE3NToVChzlHBq4iRcKFbmKJEanQojMyO4+7sLuenX01GYVQiHRg6wcrUCoLsonnI5BYYmhpAGSMva/mYGCh4UwN7bHtb1dG1fUliC5EvJMDA0QP2OZcfJg9gHyE/Lh52nHWykuvPWKqUKSeFJkEgkaNC53HFyOxN5KXmwbWALWw/dcaJRaYQRIxp0agCJgQSArrNHblIurN2tYe+la3utRot7Z+/pjpMO9YXODgq5Aop7Cli5WcGhYbm2P3MPWq0W7u3cYWSqa/uc+znIvpsNSxdLUceBxHOJ0Kg1qNe2nnAHfm5yLrLuZMHC0QJOTcuOk/sX70NdrIZbazeYWOk69+Sl5iEzLhPm9uaijitJEUlQFang6usKUxvdcVKQUYCMmAyY2pjC1bdc20eloDi/GC4tXGBmpztOCjMLkX4jHSZWJnBrXa7tr6RCmauEU1MnWDjq2r5IUYS0q2kwNjdGvbb1hNy0q2koUhTB0cdR6PyizFUi9UoqjEyN4N6u3HFyIx2FmYVwaOgAKzfdcVJSUILkyGQYGBno7TOCiIjoYdgZoRawMwIR0bNjy5YtGDduHPr374/g4OB/X4GIiJ5p8lNyXPrhElx8XdB5Tmd9l0NERETPiH379mHLli3YtGkTrK2tKyzXarWQSCR6qIyIiIiIqPbUaJoGtVqNzZs34+jRo0hLS6s4l9mxY1WsSUREVLe1b98en3/+OZo2barvUoiIqA7IupOFy1suQ9pBys4IREREVCvy8/MxadIkZGRkwM/PDx999JFouUalweaem9F8RHMEvB0AQxPDKrZERERERFS31agzwnvvvYfNmzdj8ODBaNmyJXvpEhHRM6Np06bsiEBERAKvPl7o+mFXePX20ncpRERE9IywtLTE/v378fXXX+P//u//Kiy/uusq7p2+hwcxD9BmfBt2RiAiIiKip1aNpmlwcnLCli1bMGjQoMdR01OH0zQQERERERERERFRbdCoNIjcFAlDE0O0GddG3+UQEREREdWYQU1WMjExQaNGjWq7FiIiojohNTUV0dHRUCqV+i6FiIiIiMopLi5GTEwMLl26JIr/8MMPGD9+vGjayLt370IqlaJJkyai3Pfffx9SqRRr1qwRYmlpaZBKpWjQoIEo9+OPP4ZUKsXKlSuFWG5uLqRSKaRSKYqKioT4smXLIJVKsXjxYiGmVquF3KysLCH+5ZdfQiqVYt68eaL9eXt7QyqVIikpSYh9//33kEqleO+990S5LVq0gFQqRVxcnBDbsmULpFIpJk+eLMpt164dpFIpoqOjhdiePXsglUoxevRoUW737t0hlUpx/vx5Ifbnn39CKpXilVdeEeUOGDAAUqkUx48fF2LHjx+HVCrFwIEDRbnDhg2DVCrFX3/9JcTOnTsHqVSK7t27i3JHjx4NqVSKX375RYhduXIFUqkUAQEBoty33noLUqkUW7ZsEWJxcXGQSqVo0aKFKHfmzJmQSqVYv369ELt//z6kUim8vb1FufPmzYNUKsVXX30lxLKysoT2LD9l6aJFiyCVSrFs2TIhVlRUJOTm5eUJ8c8//xxSqRQLFiwQ7a9+/fqQSqVIS0sTYmvWrIFUKsXs2bNFuT4+PpBKpUhISBBiGzZsgFQqxdtvvy3KbdOmDaRSKW7cuCHEdu7cCalUivHjx4tyO3XqBKlUioiICCH2xx9/QCqV4rXXXhPl9unTB1KpFKdOnRJihw8fhlQqxZAhQ0S5Q4YMgVQqRUhIiBA7deoUpFIp+vbtK8p97bXXIJVK8ccffwixiIgISKVSdO4sni5p3LhxkEql2LVrlxC7fv06pFIp2rRpI8p9++23IZVKsXHjRiGmj88Ib29vxMfH498YGBnAf7I/OyIQERER0VOvRp0RZs+eja+//ho1GFSBiIiozmvatClatWqFO3fu6LsUIiKqA7QaLVKiUnB56+VKlzdu3BgymUx08XD9+vWQyWQIDAwU5bZq1QoymQy3b98WYlu3boVMJsPUqVNFuR07doRMJsPVq1eF2K+//gqZTIZx48aJcnv16gWZTIYLFy4IsYMHD0Imk2HEiBGi3EGDBkEmk+HEiRNC7Pjx45DJZBg8eLAo99VXX4VMJsPBgweF2Pnz5yGTydCnTx9R7ptvvgmZTIa9e/cKsejoaMhkMnTq1EmUO3XqVMhkMmzfvl2IxcbGQiaToXXr1qLcWbNmQSaT4YcffhBi9+/fh0wmg4+Pjyh3/vz5kMlk+Oabb4RYVlYWZDIZZDKZ6OLh0qVLIZPJ8NlnnwmxoqIiIbf8xcNVq1ZBJpNh4cKFov15enpCJpMhPT1diK1duxYymazCsNvNmzeHTCaDXC4XYps2bYJMJsOMGTNEuf7+/pDJZLh586YQ27VrF2QyGSZNmiTK7dq1K2QyGSIjI4XYH3/8AZlMhlGjRoly+/fvD5lMhtOnTwuxkJAQyGQyDBs2TJT78ssvQyaT4ciRI0Ls9OnTkMlkGDBggCh31KhRkMlk2L9/vxCLiIiATCZDt27dRLkTJ06ETCbDzz//LMRu3LgBmUyGdu3aiXLfffddyGQybN68WZTbtGnTCiM1Hj9+HD/99BOioqKEmFqtRlJSEpKTk0W52dnZSEpKErWxRqNBUlKS6P8xACgUCiQlJSE3N1eIabXaSnNzcnKQlJSEnJwcUbw0t/w5lNzcXCQlJSE7O7vSXLVaLcTy8vKQlJQk6swAAMnJyUhKSoJKpRJiBQUFSEpKQmZmpig3NTUVSUlJKCkpEWKFhYVISkrCgwcPRLlpaWlISkpCcXGxECsqKkJSUhIyMjJEuenp6UhKShJ14lUqlUhKShL9vwCAjIwMJCUliS7OFhcXIykpSXQBHgAePHiApKQkFBYWCrGSkhIkJSUhNTVVlJuZmYmkpCQUFBQIMZVKhaSkJKSkpIhys7KyKrR96XHyz/YsPU7Kt31Vx0lN2l6hUFSaW/5zqrTt/3mclLZ9+eMkPz+/0uMkJSXliR8n/2z70uOkfNuXHif/bPvS4+RxtX1+fr4Q08dnRHx8PLp3717h/RRea0EJz7cSERER0TPF6FET/9n7/dixYzh48CBatGgBY2Nj0bLyJ5+IiIieNvXq1YOxsbHo5BMRET2/cpNz8b3f95AYSNBkSBOY2ZmJlsvlchQXF4suCuXm5kIul1e42JCYmIisrCzRRaG8vDzI5fIKF/nu37+PxMRE0YWe/Px8yOXyChdvkpKSIJfLRRcECwoKIJfLIZPJRLkpKSmQy+Wii0JFRUWQy+VwcnIS5aampkIul4suCimVSsjlclhYWIhy09LSIJfLRRd6iouLIZfLK1xYSU9Ph1wuF/2uValUFWKA7qKkXC4XXehRq9WQy+UwMxO3RWZmJuRyuegin0ajEXUAKJWVlQW5XC66yKfVaoXc8jUrFArI5fIKF/lKX1v5i4c5OTmVtv29e/eQl5cnavvS4+SfbZ+YmIi0tDTRBcHStv/nRb7Sti9/nJS2/T9HNExOTq5wnBQWFkIul8Pd3V2UW3qclG/70uPE1tZWlFt6nJS/IFja9kZG4tMOpW1f/jgpKSmp8BoA3UXJf7a9s7MzbG1tYWdnB61WC4lEAgB4/fXX0bp1a1Hnh/r16yMyMhIGBuL7MBYtWoSZM2eiXr16QszR0VHUoaPU3LlzMWnSJLi6ugoxS0tLIdfExESIz5w5EyNHjoSzs7MQMzAwEHLLT+s4ZcoUvPTSS3B0dBTt7/z589BqtaL9vfnmm+jTpw/s7e1FuSdOnIBarYanp6cQe/XVV9GxY8cKbXTo0CGUlJSIOvC8+OKLiIyMhLW1tSj3t99+g1KpFB0/ffr0QWRkJCwtLUW5O3fuRGFhoWhUgc6dOyMyMhLm5uai3I0bNyI/P19Ub9u2bREZGQlTU1NR7tq1a5GbmwsPDw8h1qxZM0RGRlY4B7V69Wp88sknqF+/vhDz9PREZGQkDA0NRbmffvopZs+eLTre3dzcEBkZKRxLpT766CNMmzYNbm5uQszW1lZoz/L5s2fPxtixY+Hi4iLETExMhNzyn5fvvPMOhg8fXuHztnS0j/LHxIQJEzBw4EA4ODiIck+fPg2NRgOpVCrERo0ahe7du8POzk6Ue+TIEahUKlF7Dh06FP7+/hWmGj1w4ACKi4vRuHFjITZgwABERkbCyspKlLtnzx4UFRWhYcOGQqxHjx6IjIys8Pthy5YtKCgogJeXlxBr3749IiMjK3yOr1+/Hnl5eaLfXb6+voiMjBT9fwOAr7/+GkuXLhWNVtC4cWNERkZW+OxZsWKFMNpFKX19Rri6ulb4v1/qUOAhpF5OxaC1g+Du715pDhERERHR00SifcTuthMmTHjkjW7atKnGBT2NcnJyYGtrC4VCUeEPOSIievpoNJoKJ6SIiOj5tt5/PSxdLfFC0AtwaCi+KBQeHg6tVotWrVoJF9RSUlJw7949ODo6ii7SXbp0CWq1Gi1bthQu1KWlpSEhIQH29vaii0WXL19GcXExmjdvLlwAzMjIQHx8PGxtbUUXFaOjo1FUVISmTZsKFxYzMzNx+/ZtWFlZoVmzZkLutWvXUFBQAB8fH+GCZXZ2NmJjY2FhYSEa1vzGjRvIy8tDo0aNhAuhubm5uHnzJszMzODr6yvkxsTEICcnB15eXsJFtvz8fFy/fh0mJiaiEQ9iY2ORnZ0NmUwmXLwrLCzE1atXYWhoiLZt2wq5d+7cwYMHD9CgQQPhoqBSqcSVK1cgkUhEd9PfvXsX6enpkEqlwsVGlUolXBRq166dcAFRLpcjNTUV9erVEy5iajQaYXjytm3bChcyExMTkZycDBcXF9EFsosXLwLQDYNeeoE0KSkJ9+/fh5OTk+jCW0REBDQaDXx9fYWLb6UX8R0cHEQX9CIjI6FSqdCiRQvhol56ejru3r0LOzs70YXCK1euQKlUolmzZsLFwgcPHuDOnTuwtrZG06ZNhdyrV6+isLAQTZo0Ef52zcrKQlxcHCwtLdG8eXMh9/r168jPz0fjxo2Fi5s5OTmIiYmBubk5WrZsKeTevHkTubm58Pb2Fi6w5eXl4caNGzA1NUWrVq2E3Fu3bkGhUMDT01O4aF9QUIBr167B2NhYNLT67du3kZmZCQ8PD9GFPiKiZ1FRdhG+8vwKSoUSE05NgEcXj39fiYiIiIiojnvkzgiA7gTBP3s3EzsjEBERERE968rfgU1ERET0OOSl5OHm7zfRblq7f08mIiIiInoKVOu2TycnJ7z44otYv359hXnaiIiIiIiInlWVdUTYtWsXRo8ejR07duihIiIiInrWWLlZsSMCERERET1TqtUZ4caNGxgwYAB2794NmUyGDh064H//+x+io6MfV31ERERP3OHDh/Hmm2/im2++0XcpRERUx6iKVFApVQCACxcuYMeOHbh8+bKeqyIiIqKnlVajRdadLH2XQURERET0WFSrM4JMJsOMGTNw5MgRpKamYtasWYiOjka3bt3g7e2NWbNm4dixY1Cr1Y+rXiIiosfu9u3b2LZtG44fP67vUoiIqA75Y9IfWGG3AnEH4wAAr7zyClavXo3BgwfruTIiIiJ6Wl3bcw1BPkEImRui71KIiIiIiGpdtTojlGdra4tRo0Zh165dSE9Px/fffw+1Wo0JEybA2dkZ27dvr806iYiInpguXbpg5cqVmDJlir5LISKiOsTI1AhqpRr3L9wHAHTt2hXvv/8+unfvrufKiIiI6GklPymHVq2FiZWJvkshIiIiIqp1Eq1Wq63tjUZGRkKlUiEgIKC2N10n5eTkwNbWFgqFAjY2Nvouh4iIiIiIHoPM25nQqDRw9HGERCLRdzlERET0jLh74i7c27nDxJIdEoiIiIjo2VKtzggymQy9e/dGr1690KtXLzRo0OBx1vbUYGcEIiIiIqLnT0xMDCwtLeHm5gYjIyN9l0NERERERERERFSnVGuahgkTJiA+Ph5Tp06Fp6cnGjVqhMmTJ2Pnzp1ISUl5XDUSERE9UVqtFikpKbhy5QpUKpW+yyEiojqqR48eaNCgAa5du6bvUoiIiOgpE38sHiUFJfoug4iIiIjosarW7TuLFi0CACiVSpw+fRonTpxAaGgotm7dipKSEvj4+KB3795Yu3bt46iViIjoiZHJZCguLkZCQgI8PDz0XQ4REdURqVdSEbkpEtbu1jAxMYGRkREcHBz0XRYRERE9RRRyBbYP2g4LRwtMvjgZ1u7W+i6JiIiIiOixqNFYoqampujduzd69+4NAMjKysLq1asRFBSEdevWsTMCERE91SQSCerVq4fCwkLk5OTouxwiIqpDMuMycf6r83Bu7gy5XI5qzHpHREREBADIScyBdT1r2Hnawaqelb7LISIiIiJ6bGrUGaG4uBhnz55FaGgoQkNDcf78eUilUrz66qvo0aNHbddIRET0xN25cwcGBtWazYiIiJ4Dsh4y+E/1h1dvL2i1WkgkEn2XRERERE+ZBp0b4N2b76Igo4DfJYiIiIjomSbRVuNWniVLlgidD2QyGbp3744ePXqgR48ecHd3f5x11mk5OTmwtbWFQqGAjY2NvsshIiIiIiIiIiIiIiIiIiLSq2p1RjAwMICHhwfmzZuHESNGwNHR8XHWJpKZmYkZM2Zg//79MDAwwPDhw/H111/DyqrqocyKioowe/Zs7Nq1C0qlEgMGDMC3334LV1dXIaey3sc7d+7EyJEjH7k2dkYgIiIiInq+REVFYeXKlWjRogU+/PBDfZdDRFW4d+Ye7l+4D7c2bvDs6SnEz311DgDQdnJbmFiaAADuX7yPe6fvwbmFMxr2ayjkXlh7AZoSDdpMaAMzWzMAQHJkMhJOJMDRxxGNBzUWciPWR6CkoAStxrSChZMFACDtahruHLkDe297NHmpiZAbuTESyhwlWrzeAtb1dPPFZ8RkIO5gHGwa2KD58OZC7uWtl1H4oBDNhjeDbQNbAEDm7Uzc2n8LVm5WaDmypZB7dddV5KXkoclLTWDvbQ9ANz/9jb03YOFkgVZjWgm513+5jpzEHDR6oRGcmjgBAHKTc3Ht52swtTWF3wQ/IffmHzeRHZ8N737ecGnhAgDIT89H9PZoGFsYw3+Kv5Ab+1csHtx6AM+ennBr4wYAKMouQtTmKBiaGCLgnQAh9/bh20i/no4GXRpAGiAFABTnF+PSD5cACdDxvY5CbvzxeKReToW0gxQNOjUAAKiUKoR/Fw4AaD+9PQyMdKObyU/JkRSehHpt60HWXQYA0Gq0OP/NeQBAu2ntYGSmGzA08VwiEs8lwsXXBd59vIX9nQ86D61aC79JfjC1NgUAJEUkQX5SDqdmTmg0oJGQe/G7i1Ar1Wg9tjXMHcwBAKlXUhF/LB4OjRzg86KPkHvpx0soziuG7xu+sHSxBACkX0/H7cO3YSuzRbNhzYTcqJ+iUJRVhOYjmsNGqjvn9CD2AWL/jIW11BotRrQQcq9sv4KC9AI0HdoUdp52AIDsu9m4+ftNWLpYwvcNXyH32u5ryE3Khc+LPnBo5ABAN3XA9V+uw8zeDG3GtRFyb/x2A4oEBRoOaAjnZs4AgLzUPFzdeRUm1iZoO6mtkBuzPwZZt7Pg1dsLrq10598KMwtxectlGJkZod20dkJu3KE4ZNzMgKy7DPXa1gMAKHOUiNwYCYmhBB1mdBBy7xy9g7ToNNTvVB/1O9QHAJQUliDi+wgAQIf3Ogjn+O6euIuUyBS4t3OHR1cPAIBGpcGFNRcAAAHvBMDQxBDAk/+M+GvGX/Du440mLzfhiAhERERE9Fyo1vjTBw8exMiRI7F582a4u7vD19cXM2bMwC+//IL09PTHVSMAYPTo0bh27RpCQkJw4MABhIWFYcqUKQ9dJzAwEPv378eePXtw4sQJJCUl4ZVXXqmQt2nTJiQnJwuPoUOHPqZXQURET4sDBw5gzJgx+P777/VdChER1UHXz15H5I5IHDx4UN+lEFE5eSl5ouexB2MRHBiMG3tviOLB7wcjODAYxbnFQiz+aDyCA4NxdddVUe7ReUcRHBiMwgeFQkx+Uo7gwGBc3nJZlHv8k+MIDgxGbnKuEEs8n4jgwGBc+vGSKDfs0zAEBwZDkaAQYimRKQgODEb4t+Gi3DOfn0FwYDAyYzOFWPq1dAQHBgsXTUud++ocggODkXYtTYg9iH2A4MBgnP78tCj34rcXERwYjJTIFCGmSFAgODAYJz89KcqN/DESwYHBuH/+vhDLS85DcGAwjn9yXJR7ectlBAcGI+FkghAreFCA4MBgHJl3RJR7dddVBAcGI/5ovBArzi1GcGAwDr9/WJR7Y+8NBAcGI+5gnBBTK9UIDtS1p0alEeK3DtxCcGAwbv5xU4hptVoht6SgRIjfPnwbwYHBuL7numh/IR+EIDgwGEXZRULsbuhdBAcGI3p7tCj32EfHEBwYjPy0fCF278w9BAcGI2pTlCj3xOITCA4MRk5ijhBLCk9CcGCwcHG91KnlpxAcGIysO1lCLPVKKoIDg3Eh6IIo9+zqswgODEbGzQwhlnEzA8GBwTi7+qwo90LQBQQHBiP1SqoQy7qTheDAYJxafkqUG/F9BIIDg5EUniTEchJzEBwYjBOLT4hyozZFITgwGPfO3BNi+Wn5CA4MxrGPjolyo7dHIzgwGHdD7wqxouwiBAcGI+SDEFHu9T3XERwYjNuHbwuxkoISoT1R7larmD9iEBwYjFsHbgkxjUoj5KqUKiH+pD8jrv18DT8P+1noQENERERE9Kwzqk7ygAEDMGDAAABAbm4uTp48iRMnTuDzzz/H6NGj0ahRI/Tq1Qtr1qyp1SJv3LiBQ4cO4eLFi2jXTteDOigoCIMGDcKqVasqnSJCoVBgw4YN2LFjB3r37g1A1+mgWbNmOHfuHDp2LOtZb2dnBzc3t1qtmYiInm4xMTHYvn07AGDq1Kl6roaIiOqSouwixL4bi9fxOmSvy/RdDhH9Lex/YQhbGoZR+0ahYX/dXcuurVzRclRL1POvJ8r1HeULrVYr3BkPAM7NndFyVEvhrutSzUc0h6pIBWNLYyHm6OOoy+0kzm06rCmUCqVwdzQA2Hvb62poK66hyUtNkJ+WD3NHcyFm62GLlqNawrmFsyi30aBGcPF1gaWrpRCzllqj5aiWwl3tpRr2bwh7b3vhLnoAsHK1QstRLWHTQDyao1dvL1i5WcHWw1aImTuao+WolsId+6U8unvAxNpEGG0BAMzszNByVEuY2pqKcht0aQCJgQSOPmUjappYmaDlqJYwMhefipJ2kEJVpIJz87LXbGRmhJajWla4c9zd3x0tR7WEi6+LEDMwMkDLUbqRISQGZfmurf9ue7+y910ikQi5pXfGA4BLSxe0HNUS7gHi80stX28JdYkaxhZlbe/U1EnX9h3Fbd9seDOU5JfA1KbsvXBo5FDpdpu83ASFmYUwsy87Tuy87NByVEthNIFSjQc3Rr229WDpXNYetg10x4lTUydRbqOBjeDU1AlW9cpGEbWqp2t7Oy87Ua5XXy/YNLCBTf2yY8LC2QItR7UUrQ8Anj09Ye5gLoy2AADm9rrjpPzxCwAe3TxgZGYkOi5NbUzRclRLmFiZiHLrd6oPjVojeh3GFsZoOaolDI0NRbnuAe5Q5iiFUTkAXRuWtmd5bn5uuveydbmRUQ3K2r509AzgyX9GNBveDAZGBqIRSoiIiIiInmXVmqahMmq1GhcuXMC+ffvw7bffIi8vD2q1urbqAwBs3LgRs2fPRlZWWS9wlUoFMzMz7NmzB8OGDauwzrFjx9CnTx9kZWXBzs5OiMtkMsyaNQuBgYEAdH+Iuru7Q6lUwtvbG9OmTcOECRMeOlSaUqmEUqkUnufk5KBBgwacpoGI6BkSERGB48ePo02bNujbt6++yyEiojrmh/Y/QGIgwYvfvwi31uzYTFQXHAo8hPNfnUfbKW0x5Psh+i6HiIiIiIiI6LlXrZERAECj0SA8PBzHjx9HaGgoTp8+jfz8fNSvXx/Dhg1Dr169ar3IlJQUuLi4iGJGRkZwcHBASkpKleuYmJiIOiIAgKurq2idJUuWoHfv3rCwsMDhw4fxzjvvIC8vDzNnzqyynuXLl2Px4sXVeg0ajQbFxcX/nkhUA8bGxjA0NPz3RCJ6ZP7+/vD39//3RCIiei5NOjsJBobVmvWOiGpZXmoeDAwNYOFkAQDotaQXPLp4oNnwZnqujIiIiIiIiIiAanZGeOGFF3DmzBnk5ubC3d0dvXr1wpdffolevXrB29u72jufN28ePvvss4fm3Lhx46HL/6sFCxYIP/v5+SE/Px8rV658aGeE+fPn4/333xeel46MUJXi4mLEx8dDo9FUmUP0X5VON/KwUT2IiIiIqHYkJevmzXZ2doapqem/ZBNRbbvx2w3sm7gPPkN8MGyLbrREU2tTNH+1uZ4rIyIiIiIiIqJS1eqMYGdnh5UrV6JXr15o3Ljxf9757NmzMX78+IfmeHt7w83NDWlpaaK4SqVCZmYm3NwqHxLVzc0NxcXFyM7OFo2OkJqaWuU6ANChQwcsXboUSqWyypOKpqamj3zCUavVIjk5GYaGhmjQoAEMDHj3FNUurVaLgoIC4f9IvXr1/mUNInoUWq0WKSkpSEtLg6+vLz+/iYhIZObMmfjtt9+wds1aTJ0ytcLc1kT0eNlIbVCkKEL69XSUFJTA2ML431ciIiIiIiIioieqWp0Rdu7cWas7d3Z2hrOz87/mderUCdnZ2YiIiBCGzD527Bg0Gg06dOhQ6Tr+/v4wNjbG0aNHMXz4cABATEwM5HI5OnXqVOW+oqKiYG9vX2t3N6lUKhQUFMDd3R0WFha1sk2ifzI3NwcApKWlwcXFhVM2ENWCkpISuLu7AwAyMjLg6Oio54qIiKgu0Wq16Cfph8z5mbhmdw2tRrfSd0lEzzRlrhLp19NRv0N9AIC0vRRjj46FrLuMU6YQERERERER1VHV6owAABqNBps3b8bevXtx9+5dSCQSeHl54dVXX8Wbb775WIaIb9asGQYOHIjJkydj3bp1KCkpwfTp0zFy5EjhQtH9+/fRp08fbNmyBe3bt4etrS0mTZqE999/Hw4ODrCxscGMGTPQqVMndOzYEQCwf/9+pKamomPHjjAzM0NISAiWLVuGOXPm1FrtarUaAGBiYlJr2ySqTGlnl5KSEnZGIKoFJiYmcHJygqGhIbKzs9kZgYiIRH777Tcc/uAwzq46i4SwBLQa3QqFmYU499U5GJoaovtH3YXcG7/dQEpkCrz7eUPWTQZAd2H1zMozgATotbiXkHvrz1u4f/4+ZD1k8O6jmwpPVaTCyWUnAQDdF3QXRmG4ffg25KfkaNC5ARoNbAQA0Gq0CF0UCgDoOq+rcLf43dC7iD8WD/d27mjyUhNhfyeWnIBGpUGn2Z1gZmsGAJCfluN28G24tnZF8+FlQ96fXH4SqkIV2s9oD0tnSwDA/Yv3cWv/LTg3d0bLkS2F3DOrzkCZo0S7ae1g7W4NAEiJSsGNvTfg0MgBrce2FnLPf3MeBRkF8JvkBzuZHQAg7Voarv18DbYyW7Sd1FbIvfjdReQl56HVm63g2Fj3u/lB7ANc2XoFVvWsEPB2gJB76cdLUMgVaDmyJZyb6zrBZ9/NRuTGSFg4WaDDzLKO7Ze3XEZmXCaavdIMbm10I+nlJuUifF04TG1N0Xl2ZyE3emc0Mm5kwGeID6QBUgBAfno+LgRdgJG5EbrN7ybkXv/1OlIvp6LRwEZo0Fk3tV9RdhHOfnEWBkYG6PFJDyE3Zl8MksKT4NXbC549PQEAJQUlOLXiFACg56KekBjo/t6OPRiLxLOJ8OjqgYb9GwIA1CVqhC0NAwB0+6gbjEx1f+7fOXoHCScSIO0ghc9gH2F/xxceB7RA5w86w9Ra1xk/4WQC7oTcQb229dB0aFMhN+zTMKiL1eg4qyPMHXQdoRPPJSL2r1i4tHRBi9daCLmnPz+N4rxiBLwbACtXKwBAUkQSYv6IgWMTR1HHnbNfnkVRVhHaTm4L2wa2AIDU6FRc33Md9t72aDO+DQAgIyYDW/psgapIhek3p8PCSfe3j1cvLxARERERERFR3VWt2we0Wi2GDBmCt956C/fv34evry9atGiBhIQEjB8/HsOGDXtcdWL79u1o2rQp+vTpg0GDBqFr165Yv369sLykpAQxMTEoKCgQYl9++SVefPFFDB8+HN27d4ebmxv27t0rLDc2NsbatWvRqVMntGnTBt9//z2++OILLFy4sNbrfxydNIjK4zFGVPtSU1ORkpKChg0b6rsUIiKqg/yn+GPimYkYtGYQAKAwqxBhS8Nw+rPTorxb+28hbGkY7p2+J8RK8ksQtjQMJz89KcqNOxSHsKVhSDiRIMTUxbqLzGFLw6BVa4V4/LF4hC0Nw+2Q20JMq9UKuaoilRBPCEtA2NIwxP4VK9rfyWUnEbY0DMocpRBLPJeIsKVhiPkjRpR7ZuUZhC0NQ+GDQiGWHJGMsKVhuL7nuij3/NfnEbY0DHkpeUIs9UoqwpaGIXpHtCj34rcXEbY0DAq5Qohl3MxA2NIwXP7psij30g+XELY0DFm3s4RY1u0shC0NQ+SPkaLcyz9dRtjSMGTczBBiCrkCYUvDcPHbi6Lc6B3RCFsahtToVCGWm5yLsKVhOP/1eVHu9T3XEbY0DMkRyUKs8IGu7c+uOivKjfk9BmFLw5B4LlGIKXOUurZfJm772L9idW1/sqztSwpLhPYs707IHYQtDUP8sXghplWXtb26WC3E74be1R0nwbdF2yjNLckvEWL3Tt/Ttf1+cduf/uw0wpaGoSi7SIjdv3AfYUvDcGPvDVHu2S/OImxpGPLT8oVYSlQKwpaG4drP10S5F4IuIGxpGHLv5wqx9GvpCFsahitbrwgxe297mDuYw8zWDDmJOSAiIiIiIiKip0O1RkbYvHkzTp48iaNHj6JXr16iZceOHcPQoUOxZcsWjB07tlaLBAAHBwfs2LGjyuWenp7QarWimJmZGdauXYu1a9dWus7AgQMxcODAWq2TiIieHQYGHPKXiIiq5tjYUbg7HwBMbUwRMD0ARmbiP7O8+njB2NIY9fzrCTFjC2META+o0KFU1l03coK0g1SIGRgbIGC67o5/iWFZfv1O9REwPQAeXT2EmEQiEXINTctGy3IPcNfldinLBYB2b7eDRqWBiVXZSG5ubdwQMD1AuOu/VNvJbVFSUAIzezMh5tLSBQHTA+DW2k2U23p8axRlF8HCuWyqOqemTgiYHgDnZuKp+nxH+yI/LR/W9ayFmENDBwRMD4BDQwdRbovXW6BBlwaw9bAVYrYetgiYHiDcWV+q2fBmcG3jCntveyFm7W6NgOkBsHSxFOU2eakJHBo7wKmJkxCzdLZEwPQAmNubi3IbD2oMa6k1XFq6CDEzezMETA8QRqIo5d3PG6Z2psJoCwBgYmWCgOkBMDASf8/w7OkJA2MD0ftuZGYktGd5Hl09oC5Ro36n+kJMYliu7Y3L2r5+B91xUnpslWo/vT20Wq2o5nr+9RAwPQD1O9YX5fpP9YdKqYKpTdl0hq6tXBEwPQD12tYT5fpN9IMyVwkLx7K2d27ujIDpAaL3DABaj22NggcFsHQtaw+Hxrq2d/Qp+79laGyIkb+PhFU9Kxibi99jIiIiIiIiIqq7JNp/XsF/iP79+6N3796YN29epcuXLVuGEydOIDg4uNYKfBrk5OTA1tYWCoUCNjY2omVFRUWIj4+Hl5cXzMzMKqxbetdt69a6YUpjYmJgZmYGmUyGkpISREdHo2HDhrC1tUV6ejoSExPh5+cHAIiNjYWRkRG8vLygVqtx+fJleHl5wd7eHg8ePEBCQgL8/PwgkUigUChga2tbYf/07Pi3Y42IiIiIakdRUREmTpwIBwcHfPHFF5ySjYiIiIiIiIiIqBLVuuXzypUrDx1J4IUXXsDly5erXE46ubm5CA0NRW5uLrZs2SIaZWL8+PFYunQpACAjIwP+/v44dUo3R+ju3bvRsWNHIfftt9/Ghx9+CADIz8+Hv78/jhw5AgDYv38//P39oVarkZ6ejjfffBNyufxJvcSnSkxMDNzc3JCbm/vvyXqybt06DBkyRN9lED139u7di9GjR+Onn37SdylERFSHZGZmYufOnVi3bh2MjXmXNhERERERERERUWWq1RkhMzMTrq6uVS53dXVFVlZWlctJJzY2Fr169UJsbCzGjh2L48ePC8s2b96MBQsWAACcnJwQERGBrl27AgBee+01nDt3Tsj97rvvsGzZMgCApaUlIiIi0LdvXwDAkCFDEBERAUNDQ+Tk5KCkpAQlJWVzgT6qs2fPwtDQEIMHD67x663K5s2bYWdnV+31QkNDIZFIkJ2dXSt1zJ8/HzNmzIC1tW5Y2JiYGPTq1Quurq4wMzODt7c3Pv74Y9H7t2jRIrRp06bCtu7evQuJRIKoqCghNnPmTPj7+8PU1LTSdYqKijB+/Hj4+vrCyMgIQ4cOrZAzceJEXLp0CSdPnqywjIgen6tXr2LHjh04c+aMvkshIqI6xNLSEl988QUWL15cYZoFIiIiIiIiIiIi0jH695QyarUaRkZVr2JoaAiVSvWfi3rWNW/eHLGxsahfvz7MzMxEHTyaNGki/GxsbIy2bdsKz52dneHsXDa/auPGjYWfDQ0NRbmOjo5wdNTNsdmwYUMcPHiwRrVu2LABM2bMwIYNG5CUlAR3d/cabaeuksvlOHDgAIKCgoSYsbExxo4di7Zt28LOzg6XL1/G5MmTodFohM4f1TVx4kScP38eV65cqbBMrVbD3NwcM2fOxK+//lrp+iYmJnjjjTfwzTffoFu3bjWqgYiqr3///rC0tIS/v7++SyEiojrE1tYWgYGB+i6DiIiIiIiIiIioTqtWZwStVovx48fD1NS00uVKpbJWinrWmZmZoVGjRk9sf1qtFmq1GoaGhtW6cysvLw8///wzwsPDkZKSgs2bNwvTQpTav38/lixZgujoaFhZWaFbt2747bffAOiOh48++gg7d+5EdnY2WrZsic8++ww9e/ZEaGgoJkyYAABCTQsXLsSiRYuwdetWfP3114iJiYGlpSV69+6Nr776Ci4uLrh7964wrYW9vT0AYNy4cdi8eTM0Gg0+++wzrF+/HikpKfDx8cGCBQvw6quvVvkad+/ejdatW0MqlQoxb29veHt7C89lMhlCQ0NrPCrBN998AwBIT0+vtDOCpaUlvvvuOwDA6dOnqxzxYciQIejXrx8KCwthbm5eo1qIqHo6duwomh6HiIiIiIiIiIiIiIiIHk21pmkYN24cXFxcYGtrW+nDxcUFY8eOfVy1PjPu3buHmTNn4t69e09kf5GRkTA2NkZkZGS11tu9ezeaNm2KJk2aYMyYMdi4cSO0Wq2w/M8//8SwYcMwaNAgREZG4ujRo2jfvr2wfPr06Th79ix27dqFK1euYMSIERg4cCBiY2PRuXNnfPXVV7CxsUFycjKSk5MxZ84cAEBJSQmWLl2Ky5cv4/fff8fdu3cxfvx4AECDBg2E0QNiYmKQnJyMr7/+GgCwfPlybNmyBevWrcO1a9cQGBiIMWPG4MSJE1W+xpMnT6Jdu3YPfR/i4uJw6NAh9OjRo1rvX21r164dVCoVzp8/r9c6iIiIiJ53mZmZuHfvHgoKCvRdChERERERERERUZ1VrZERNm3a9LjqeK7k5uYiNDQU06ZNeyL7k8lk2LRpE2QyWbXW27BhA8aMGQMAGDhwIBQKBU6cOIGePXsCAP73v/9h5MiRWLx4sbBO69atAeimP9i0aRPkcrkwtcOcOXNw6NAhbNq0CcuWLYOtrS0kEgnc3NxE+504caLws7e3N7755hsEBAQgLy8PVlZWcHBwAAC4uLjAzs4OgG4UhmXLluHIkSPo1KmTsO6pU6fw/fffV9mRICEhocrOCJ07d8alS5egVCoxZcoULFmyRLS8dDSI8sp31qhtFhYWsLW1RUJCwmPbBxGJaTQapKSkID09Xfh8IyIi2rhxIz744AOMGTMGW7du1Xc5REREREREREREdVK1OiNQ7WjevHmlw/U/Lo6OjsLIAo8qJiYGFy5cEKZcMDIywuuvv44NGzYInRGioqIwefLkStePjo6GWq2Gj4+PKK5UKuHo6PjQfUdERGDRokW4fPkysrKyoNFoAOg6ODRv3rzSdeLi4lBQUIB+/fqJ4sXFxfDz86tyX4WFhTAzM6t02c8//4zc3FxcvnwZH3zwAVatWoX/+7//E5Y3adIE+/btE61z//594f15HMzNzXkHHtETlJeXJ0zjkp+fDwsLCz1XREREdYFSqYSxsbHQSZaIiIiIiIiIiIgqqlFnhGHDhkEikVSISyQSmJmZoVGjRnjjjTfQpEmT/1wg/XdZWVk4cuQI+vbtC3t7+0daZ8OGDVCpVMKoBoDurn9TU1OsWbMGtra2MDc3r3L9vLw8GBoaIiIiAoaGhqJl/xxNoLz8/HwMGDAAAwYMwPbt2+Hs7Ay5XI4BAwaguLj4ofsDdFNHlF44LGVqalrlek5OTsjKyqp0WYMGDQDoOo+o1WpMmTIFs2fPFl6PiYkJGjVqJFrHyOjx9u/JzMyEs7PzY90HEZWxtraGpaUlrK2tkZ2dzc4IREQEAPjoo4/w4YcfQqVS6bsUIiIiIiIiIiKiOsugJivZ2tri2LFjuHTpEiQSCSQSCSIjI3Hs2DGoVCr8/PPPaN26NU6fPl3b9T4ToqOjUb9+fURHRz+R/cXHx+O1115DfHz8I+WrVCps2bIFq1evRlRUlPC4fPky3N3dsXPnTgBAq1atcPTo0Uq34efnB7VajbS0NDRq1Ej0KJ2WwcTEBGq1WrTezZs38eDBA6xYsQLdunVD06ZNkZaWJsoxMTEBANG6zZs3h6mpKeRyeYX9lXYqqKrO69ev/+t7otFoUFJSIozSoA+3b99GUVHRQ0d6IKLaJZFIkJOTg+TkZFHnLCIiIolEAmNjY32XQUREREREREREVGfV6DZuNzc3vPHGG1izZg0MDHT9GTQaDd577z1YW1tj165dmDZtGubOnYtTp07VasHPAicnJwwePBjJycnw9fUFAFy/fh3W1tZo0KABioqKcP36dTRu3BjW1tZITU1FSkqKMF95TEwMzMzMIJPJUFJSgujoaDRs2BC2trZIT09HYmKicME6NjYWNjY2UCgUsLS0fKT6Dhw4gKysLEyaNAm2traiZcOHD8eGDRswbdo0LFy4EH369EHDhg0xcuRIqFQq/PXXX5g7dy58fHwwevRojB07FqtXr4afnx/S09Nx9OhRtGrVCoMHD4anpyfy8vJw9OhRtG7dGhYWFvDw8ICJiQmCgoIwbdo0XL16FUuXLhXVIJPJIJFIcODAAQwaNAjm5uawtrbGnDlzEBgYCI1Gg65du0KhUOD06dOwsbHBuHHjKn2tAwYMwFtvvQW1Wi2MeLB9+3YYGxvD19cXpqamCA8Px/z58/H666/X6IRzXFwc8vLykJKSgsLCQkRFRQHQdaAo7Vhx/fp1FBcXIzMzE7m5uUJOmzZthO2cPHkS3t7eaNiwYbVrIKKaK/09R0RERERERERERERERI+uRldYNmzYgFmzZoku0BgYGGDGjBlYv349JBIJpk+fjqtXr9Zaoc+SevXqoV69epg4caIQGzlyJFauXAkASExMhL+/PyIiIgAAW7ZsQa9evYTc8ePHCxfoMzIy4O/vL3T62L17Nzp27Cjkvv3221iwYAFsbGwqTJdQlQ0bNqBv374VOiIAus4I4eHhuHLlCnr27Ik9e/Zg3759aNOmDXr37o0LFy4IuZs2bcLYsWMxe/ZsNGnSBEOHDsXFixfh4eEBAOjcuTOmTZuG119/Hc7Ozvj888/h7OyMzZs3Y8+ePWjevDlWrFiBVatWiWqQSqVYvHgx5s2bB1dXV0yfPh0AsHTpUixYsADLly9Hs2bNMHDgQPz555/w8vKq8rW+8MILMDIywpEjR4SYkZERPvvsM7Rv3x6tWrXC4sWLMX36dPz444+P9P7901tvvQU/Pz98//33uHXrFvz8/ODn54ekpCQhZ9CgQfDz88P+/fsRGhoq5JS3c+dOTJ48uUY1EBEREVHt+fDDDzF9+nTExsbquxQiIiIiIiIiIqI6S6LVarXVXcne3h4//fQTXnrpJVF83759GDduHLKyshAbG4v27dsjKyur1oqtq3JycmBrawuFQgEbGxvRsqKiIsTHx8PLywtmZmZCPDk5GRkZGU9kZAQjI6OHXpB/3q1duxb79u1DcHCwvkup0rVr19C7d2/cunWr0k4iQNXHGhH9Nzt37sT+/fvx0ksvYeTIkfouh4iI6gBPT08kJCTg3Llz6NChg77LISIiIiIiIiIiqpNqNE3Dm2++iUmTJuHDDz9EQEAAAODixYtYtmwZxo4dCwA4ceIEWrRoUXuVPmNKR0co1bx5c+FnMzMztG3bVnju6uoKV1dX4XmTJk2En42NjUW5zs7OcHZ2Fp43bty41mt/1kydOhXZ2dnIzc2FtbW1vsupVHJyMrZs2VJlRwQienyioqKwc+dOuLq6sjMCEREBAObOnYukpCR4enrquxQiIiIiIiIiIqI6q0YjI6jVaqxYsQJr1qxBamoqAN0F8xkzZmDu3LkwNDSEXC6HgYEB6tevX+tF1zU1GRmBqLbxWCN6PMLCwhAeHo727duja9eu+i6HiIiIiIiIiIiIiIjoqVCtzggFBQWwsLAQxXJycgCgwkX45wk7I1BdwGONiIiIiIiIiIiIiIiIiOoKg+okOzk54cUXX8T69euRkpICQNcJ4XnuiEBERERERM+PoqIi3Lt3D/n5+fouhYiIiIiIiIiIqE6rVmeEmzdvYsCAAdi9ezc8PT3RoUMH/O9//0N0dPTjqo+IiEivNBoN7t+/jytXrui7FCIiqgMuXboEDw8PtG7dWt+lEBERERERERER1WnV6ozg4eGBGTNm4MiRI0hNTcWsWbMQHR2Nbt26wdvbG7NmzcKxY8egVqsfV71ERERPVGpqKurXrw8/Pz9oNBp9l0NERHqWl5cHY2Nj2Nvb67sUIiIiIiIiIiKiOq1anRHKs7W1xahRo7Br1y6kp6dj3bp1UKvVmDBhApydnbF9+/barJOIiEgvnJycYGxsDFdXV+Tk5Oi7HCIi0rP+/ftDqVTi1KlT+i6FiIiIiIiIiIioTjOqjY0YGxujf//+6N+/P4KCghAZGQmVSlUbmyYiItIrY2NjFBUVwcCgxv33iIjoGSORSGBqaqrvMoiIiIiIiIiIiOq0anVGkMvlj5Tn5+dXo2KeJ3K5HBkZGZUuc3R0hEwmQ2FhIW7cuAEfHx9YWVkhMTERaWlpD92ul5cX7O3tkZqaiuTkZLRp0wYAkJaWBhcXl9p+GUREzwV2RCAiIiIiIiIiIiIiIqqeanVG8PLyEn7WarUAdHcFlY9JJBKo1epaKu/ZJJfL0axZMxQUFFS6fNKkSfjxxx9x584d+Pv748yZM+jUqRO++OILfPnllw/d9u7duzFixAhs374dixYtQk5ODtLT09GrVy8cPHgQHh4ej+MlPdViYmLQo0cPxMbGwtra+onuOyMjA82bN8elS5dQv379J7pvIiIiIqq+zZs34+LFi3jllVfQp08ffZdDRERERERERERUZ1XrVk+JRIIGDRpgwYIFuHjxIiIjI3Hp0iXhUfqcHi4jIwMFBQXYtm0bIiIiKjwWLFgAAPD29kZERAR8fX0BAO+//36l+eUfffv2BQCMHj0aYWFhAIB79+7h+vXrVY7E8DBnz56FoaEhBg8eXEuvvszmzZthZ2dX7fVCQ0MhkUiQnZ1dK3XMnz8fM2bMEDoilG6/9OHs7IxBgwYhOjpatF5YWBiGDBkCd3d3SCQS/P7776LlJSUlmDt3Lnx9fWFpaQl3d3eMHTsWSUlJQo6TkxPGjh2LhQsX1sprIaLH46effsIbb7yB3377Td+lEBGRnh0+fBjffvstrly5ou9SiIiIiIiIiIiI6rRqjYyQmJiIn376CZs2bcK6deswZswYTJo0Cc2aNXtc9T2TGjVqhEOHDqFTp06wsbGpMs/c3Bxt27YVntevX/+R7553dXWFq6vrf651w4YNmDFjBjZs2ICkpCS4u7v/523WJXK5HAcOHEBQUFCFZTExMbCxsUFSUhI++OADDB48GHFxcTAxMQEA5Ofno3Xr1pg4cSJeeeWVCusXFBTg0qVLWLBgAVq3bo2srCy89957eOmllxAeHi7kTZgwAf7+/li5ciUcHBwe34slohoLDw/Hzp074e3tjWHDhum7HCIi0qMRI0agUaNG6NSpk75LISIiIiIiIiIiqtOqNTKCm5sb5s6di5s3b+KXX35BVlYWOnTogI4dO+KHH36ARqN5XHU+U2xsbDBgwICHdkSoC/Ly8vDzzz/j7bffxuDBg7F58+YKOfv370dAQADMzMzg5OQkukinVCoxZ84cSKVSWFpaokOHDggNDQWgG31gwoQJUCgUwggEixYtAgBs3boV7dq1g7W1Ndzc3PDGG28gLS0NAHD37l306tULAGBvbw+JRILx48cDADQaDZYvXw4vLy+Ym5ujdevW+OWXXx76Gnfv3o3WrVtDKpVWWObi4gI3Nze0bdsWs2bNwr1793Dz5k1h+QsvvIBPP/20yguTtra2CAkJwWuvvYYmTZqgY8eOWLNmDSIiIiCXy4W8Fi1awN3dnXdcE9Vhw4YNwxdffIEhQ4bouxQiItKzYcOGYcmSJejYsaO+SyEiIiIiIiIiIqrTqtUZobyuXbtiw4YNiI2NhYWFBaZNm1Zrw+Y/65KTk7Fo0SIkJyfru5SH2r17N5o2bYomTZpgzJgx2LhxI7RarbD8zz//xLBhwzBo0CBERkbi6NGjaN++vbB8+vTpOHv2LHbt2oUrV65gxIgRGDhwIGJjY9G5c2d89dVXsLGxQXJyMpKTkzFnzhwAuukNli5disuXL+P333/H3bt3hQ4HDRo0wK+//gpAN3JBcnIyvv76awDA8uXLsWXLFqxbtw7Xrl1DYGAgxowZgxMnTlT5Gk+ePIl27do99H1QKBTYtWsXAAijItRUaeeLf05P0b59e5w8efI/bZuIHp/evXsjMDAQHTp00HcpRERERERERERERERET4VqTdNQ3pkzZ7Bx40bs2bMHTZo0wdq1aytcYKXKZWRk4Mcff8Tw4cNRr149fZdTpQ0bNmDMmDEAgIEDB0KhUODEiRPo2bMnAOB///sfRo4cicWLFwvrtG7dGoBu+oNNmzZBLpcLUzvMmTMHhw4dwqZNm7Bs2TLY2tpCIpHAzc1NtN+JEycKP3t7e+Obb75BQEAA8vLyYGVlJUxl4OLiIhxzSqUSy5Ytw5EjR4Qhc729vXHq1Cl8//336NGjR6WvMSEhocrOCKVTYuTn5wMAXnrpJTRt2vTR3rxKFBUVYe7cuRg1alSFUTHc3d0RGRlZ420TERER0ZORmJgIOzs7WFpaQiKR6LscIiIiIiIiIiKiOqtanRGSk5OxZcsWbNq0CVlZWRg9ejROnz6Nli1bPq76nkm+vr5ITEzUdxkPFRMTgwsXLghTBxgZGeH111/Hhg0bhM4IUVFRmDx5cqXrR0dHQ61Ww8fHRxRXKpVwdHR86L4jIiKwaNEiXL58GVlZWcL0H3K5HM2bN690nbi4OBQUFKBfv36ieHFxMfz8/KrcV2FhIczMzCpddvLkSVhYWODcuXNYtmwZ1q1b99C6H6akpASvvfYatFotvvvuuwrLzc3NUVBQUOPtE9HjpVarkZycjOzsbP7OIyJ6jqnVanh4eECr1SIlJQWurq76LomIiIiIiIiIiKjOqlZnBA8PD0ilUowbNw4vvfQSjI2NodFocOXKFVFeq1atarVIevI2bNgAlUoljGoAAFqtFqamplizZg1sbW1hbm5e5fp5eXkwNDREREQEDA0NRcusrKyqXC8/Px8DBgzAgAEDsH37djg7O0Mul2PAgAEoLi5+6P4A3dQRUqlUtMzU1LTK9ZycnJCVlVXpMi8vL9jZ2aFJkyZIS0vD66+/jrCwsCq3VZXSjggJCQk4duxYhVERACAzMxPOzs7V3jYRPRnx8fFo3LgxrKyskJubq+9yiIhIT3Jzc2FkZISSkhLY29vruxwiIiIiIiIiIqI6rVqdEdRqNeRyOZYuXYpPP/0UgO4CdXkSiQRqtbr2KnwGRUdH44UXXsDBgwfh6+ur73IqUKlU2LJlC1avXo3+/fuLlg0dOhQ7d+7EtGnT0KpVKxw9ehQTJkyosA0/Pz+o1WqkpaWhW7dule7HxMSkwrFy8+ZNPHjwACtWrECDBg0AAOHh4RXWAyBat3nz5jA1NYVcLq9ySobK+Pn54fr16/+a9+6772L58uX47bffMGzYsEfefmlHhNjYWBw/frzKUSGuXr0qjDhBRHWPi4sLjIyMYGNjA6VS+dBOTkRE9Oyys7ODUqlEQUGB8J2UiIiIiIiIiIiIKletzgjx8fGPq47nSklJCe7fv4/z58+jpKSkyjwPDw84OTkhIyMDcrkcbdu2BaCbQiE/P/+h+2jZsiVMTExw584dWFpaQqFQwNLS8pHqO3DgALKysjBp0iTY2tqKlg0fPhwbNmzAtGnTsHDhQvTp0wcNGzbEyJEjoVKp8Ndff2Hu3Lnw8fHB6NGjMXbsWKxevRp+fn5IT0/H0aNH0apVKwwePBienp7Iy8vD0aNH0bp1a1hYWMDDwwMmJiYICgrCtGnTcPXqVSxdulRUg0wmg0QiwYEDBzBo0CCYm5vD2toac+bMQWBgIDQaDbp27QqFQoHTp0/DxsYG48aNq/S1DhgwAG+99RbUanWFERzKs7CwwOTJk7Fw4UIMHToUEokEeXl5iIuLE3Li4+MRFRUFBwcHeHh4oKSkBK+++iouXbqEAwcOQK1WIyUlBQDg4OAgnMAuKChAREQEli1b9kjtQ0RPnrW1NYqLizk3OBERQSKRPPL3aiIiIiIiIiIioueZRPvPoQ0eUVFREa5cuYK0tDRoNJqyDUokGDJkSK0V+DTIycmBra0tFApFhSH4i4qKEB8fDy8vL5iZmQEAkpOTRdMfVOWHH37AW2+9hR9//BGTJ08WRqHo1KkTzp0799B17927h/r162PEiBHIyclBcHDwI7+eIUOGQKPR4M8//6yw7MKFC+jQoQMuX76MVq1aYe/evVi6dCmuX78OGxsbdO/eHb/++isAXaeLTz/9FFu2bMH9+/fh5OSEjh07YvHixcKIEG+//Tb27NmDBw8eYOHChVi0aBF27tyJDz/8EMnJyWjbti3mz5+Pl156CZGRkWjTpg0AYOnSpfj222+RmpqKsWPHYvPmzdBqtfjmm2/w3Xff4c6dO7Czs0Pbtm3x4Ycfonv37pW+VpVKBZlMho0bN2LAgAEAgNDQUPTq1QtZWVmws7MTvafe3t7Yvn07XnvtNSHvn8aNG4fNmzfj7t278PLyqnS/x48fF0ZC2LlzJxYvXoybN28+UvtUpbJjjYiIiIiIiIiIiIiIiIhIH2rUGeHQoUMYO3YsMjIyKm7wOZymobqdEQBdh4Tk5OSHbre2RkZQq9Vo3LhxDV/ds2/t2rXYt29ftTps1KaOHTti5syZeOONN/7TdtgZgYiIiOjxOn36NHbs2IGAgACMHz9e3+UQERERERERERHVadWapqHUjBkzMGLECHzyySdwdXWt7ZoqlZmZiRkzZmD//v0wMDDA8OHD8fXXX8PKyqrKddavX48dO3bg0qVLyM3NrXCne023Wxvq1auHevXqPVKuk5MTnJychOdNmjR55P14e3tXu7bnzdSpU5GdnY3c3FxYW1s/0X1nZGTglVdewahRo57ofomo+tavX4/jx49j7NixeOGFF/RdDhER6UFkZCS+/fZbvPrqq+yMQERERERERERE9C8MarJSamoq3n///SfWEQEARo8ejWvXriEkJAQHDhxAWFgYpkyZ8tB1CgoKMHDgQHz44Ye1ul16thgZGeGjjz564h0RAF1Hk//7v//jPPRET4Fz585h165diIqK0ncpRESkJ+3atcOCBQvwyiuv6LsUIiIiIiIiIiKiOq9G0zRMnDgRXbp0waRJkx5HTRXcuHEDzZs3x8WLF9GuXTsAuqkiBg0ahMTERLi7uz90/dDQUPTq1avCyAj/dbulajJNA1Ft47FG9HgdOnQIN2/eRLdu3eDv76/vcoiIiIiIiIiIiIiIiOq0Gk3TsGbNGowYMQInT56Er68vjI2NRctnzpxZK8WVOnv2LOzs7IQOAwDQt29fGBgY4Pz58xg2bNgT3a5SqYRSqRSe5+Tk1Gj/RET09Bg4cCAGDhyo7zKIiIiIiIiIiIiIiIieCjXqjLBz504cPnwYZmZmCA0NFQ0xL5FIar0zQkpKClxcXEQxIyMjODg4ICUl5Ylvd/ny5Vi8eHGN90tERERERE+f9PR0mJubw9LSktNsERERERERERER/QuDmqz00UcfYfHixVAoFLh79y7i4+OFx507dx55O/PmzYNEInno4+bNmzUp8bGaP38+FAqF8Lh3756+SyIiosdMpVLh3r17uHbtmr5LISIiPXn55ZdhbW2N33//Xd+lEBERERERERER1Xk1GhmhuLgYr7/+OgwMatSXQTB79myMHz/+oTne3t5wc3NDWlqaKK5SqZCZmQk3N7ca77+m2zU1NYWpqWmN90tERE+f69evo3Xr1nBxcUFqaqq+yyEiIj3Izc0FADg4OOi5EiIiIiIiIiIiorqvRp0Rxo0bh59//hkffvjhf9q5s7MznJ2d/zWvU6dOyM7ORkREBPz9/QEAx44dg0ajQYcOHWq8/8e1XSIieva4uLjA2NgYZmZm0Gg0/7lDHhERPX2uXLmCgoICmJiY6LsUIiIiIiIiIiKiOq9GnRHUajU+//xzBAcHo1WrVjA2NhYt/+KLL2qluFLNmjXDwIEDMXnyZKxbtw4lJSWYPn06Ro4cCXd3dwDA/fv30adPH2zZsgXt27cHAKSkpCAlJQVxcXEAgOjoaFhbW8PDwwMODg6PtN3HrjAVKEoB7FvrnufEAIZmgKUM0JQA2dGAVUPAxBYoSgcKEgEHv79zYwEDI8DKC9CogezLup9N7AHlAyA/AbD3AyQSoFih2wYREdWIq6srlEol5wgnInqOSSQSWFpa6rsMIiIiIiIiIiKip0KNbuuMjo6Gn58fDAwMcPXqVURGRgqPqKioWi5RZ/v27WjatCn69OmDQYMGoWvXrli/fr2wvKSkBDExMSgoKBBi69atg5+fHyZPngwA6N69O/z8/LBv375H3u5jUZILpIbq/o3fAhztVbbs7Hjg6lLdz8oM4JA/kH5K91y+GzjcsSz34tvA5b9Hp1Dn63JTjuie39+ve65V6zoxnH0TyJc/3tdVQxs2bED//v31XcZDjRw5EqtXr9Z3GUSkRxKJhB0RiIiIiIiIiIiIiIiIHpFEq9Vq9V3E0y4nJwe2trZQKBSwsbERLSsqKkJ8fDy8vLxgZmamC2Ze0nUUGBgBmEsf/8gIeXeA8OlAuzWAdcNHek3jx4/HTz/9hOXLl2PevHlC/Pfff8ewYcNQ/rBRq9X45ptvsHHjRsTGxsLc3BwdO3bExx9/jC5dujx0P0VFRfD29saePXuE3L1792LZsmWIi4tDSUkJGjdujNmzZ+PNN98U1uvZsyfatGmDr776SrS9zZs3Y9asWcjOzgYAJCcnY/bs2QgPD0dcXBxmzpxZYZ1r167hk08+QUREBBISEvDll19i1qxZopyrV6+ie/fuiI+Ph61t3RxhotJjjYiIiIhqRVpaGhYvXgw3NzcsWLBA3+UQERERERERERHVeZzwWh9smwNDYnX/mruWdUQAAJsmuo4IAGBgDDi0LZtewcy5rCMCANg01nU+AAADw79z7XXPTR11zyUSXQeEXgcfuSNCKTMzM3z22WfIysqqMker1WLkyJFYsmQJ3nvvPdy4cQOhoaFo0KABevbsid9///2h+/jll19gY2Mj6rTg4OCAjz76CGfPnsWVK1cwYcIETJgwAcHBwdWqHwCUSiWcnZ3x8ccfo3Xr1pXmFBQUwNvbGytWrICbm1ulOS1btkTDhg2xbdu2atdARM+OoKAgjBw5EsePH9d3KURE9IQlJibi22+/xbp16/RdChERERERERER0VOBnRH0wdAMsG6k+/dJ0GoBjUr3bzX07dsXbm5uWL58eZU5u3fvxi+//IItW7bgrbfegpeXF1q3bo3169fjpZdewltvvYX8/Pwq19+1axeGDBkiivXs2RPDhg1Ds2bN0LBhQ7z33nto1aoVTp06Va36AcDT0xNff/01xo4dW+WIBgEBAVi5ciVGjhwJU1PTKrc1ZMgQ7Nq1q9o1ENGz49SpU/j5559x5coVfZdCRERPmJOTExYsWIB33nlH36UQERERERERERE9FdgZQR/y7wHhM3X/PglZkcAuY92/1WBoaIhly5YhKCgIiYmJlebs2LEDPj4+FToUAMDs2bPx4MEDhISEVLmPU6dOoV27dlUu12q1OHr0KGJiYtC9e/dq1V/b2rdvjwsXLkCpVOq1DiLSnzFjxuCrr75Cz5499V0KERE9YR4eHliyZAk++ugjfZdCRERERERERET0VDDSdwHPJVUukBYKNJ72ZPZnKQM6biqb/qEahg0bhjZt2mDhwoXYsGFDheW3bt1Cs2bNKl23NH7r1q1Kl2dnZ0OhUMDd3b3CMoVCAalUCqVSCUNDQ3z77bfo16+fKOfbb7/Fjz/+KIqpVCqYmT2eESfc3d1RXFyMlJQUyGTVfy+J6OlXWccrIiIiIiIiIiIiIiIiqoidEfTBtjkw6AkO8W3qCHiPr/Hqn332GXr37o05c+ZUulxbzekfShUWFgJApZ0HrK2tERUVhby8PBw9ehTvv/8+vL29RXcjjx49usKdaXv37sWyZctqVM+/MTc3BwAUFBQ8lu0TERERUd2Vk5MDAwMDWFpaQiKR6LscIiIiIiIiIiKiOo/TNDwPirMA+R7dvzXQvXt3DBgwAPPnz6+wzMfHBzdu3Kh0vdK4j49PpcsdHR0hkUiQlVWxLgMDAzRq1Aht2rTB7Nmz8eqrr2L58uWiHFtbWzRq1Ej0cHFxqe7Le2SZmZkAAGdn58e2DyKq20pKSiCXy6v83CMiomfX4sWLYW1tjXnz5um7FCIiIiIiIiIioqcCOyPoQ3Y08Ft93b9PQl48cOo13b81tGLFCuzfvx9nz54VxUeOHInY2Fjs37+/wjqrV6+Go6NjhekVSpmYmKB58+a4fv36v+5fo9FAqVTWrPhacvXqVdSvXx9OTk56rYOI9Cc8PBwymQyDBw/WdylERPSEKRQKAIC9vb2eKyEiIiIiIiIiIno6sDOCPpg6AdLBQGFyWUxxHci/p/tZXQRkXgJKcnXPC1OBrMtluTkxQH6C7mdNiS63WHdyFEXpQGZkudxYwNgGGKEA7FrXuGRfX1+MHj0a33zzjSg+cuRIDBs2DOPGjcOGDRtw9+5dXLlyBVOnTsW+ffvw448/wtLSssrtDhgwAKdOnRLFli9fjpCQENy5cwc3btzA6tWrsXXrVowZM6ZGtUdFRQlTPqSnpyMqKkrUAaK4uFjIKS4uxv379xEVFYW4uDjRdk6ePIn+/fvXqAYieja4uLjA2NgYJiYm+i6FiIiesB9++AF5eXmYMWOGvkshIiIiIiIiIiJ6KrAzgj6Y1wPM6gHnJpbFTo8EbqzU/VyQCBzyBzIjdM/jtwBHe5Xlnh0PXF2q+1mZoctN//uCvnw3cLhjWe7Ft4ErC3QdEgwM/1PZS5YsgUajEcUkEgl2796NDz/8EF9++SWaNGmCbt26ISEhAaGhoRg6dOhDtzlp0iT89ddfwp1mAJCfn4933nkHLVq0QJcuXfDrr79i27ZteOutt2pUt5+fH/z8/BAREYEdO3bAz88PgwYNEpYnJSUJOcnJyVi1ahX8/PxE+ysqKsLvv/+OyZMn16gGIno2eHt7Q6lU4ubNm/ouhYiInjCJRAJLS8uHdrQlIiIiIiIiIiKiMhKtVqvVdxFPu5ycHNja2kKhUMDGxka0rKioCPHx8fDy8oKZmVnZgsJkXUcCO1/dc8V1wMgasGygGxlBcR2wbgwYW+tGRihKAez/HtkgJwYwNAMsZbqREbKjAauGgImtbmSEgkTAwe/v3FjAwAiw8noC70TNjBgxAm3btsX8+fP1XUqVvvvuO/z22284fPiwvkupUpXHGhERERERERERERERERHRE2ak7wKeW+b1dI9Sts3LfjY0Axzalst11T1K2TQp+9nAWJxr5qx7CLmNa6/mx2TlypXYv3+/vst4KGNjYwQFBem7DCIiIiLSk3nz5sHIyAjvvfcenJ2d/30FIiIiIiIiIiKi5xxHRqgFNRoZgaiW8VgjejJWr16NCxcu4L333kPnzp31XQ4RET0BWq0W5ubmUCqVSEhIgIeHh75LIiIiIiIiIiIiqvM4MgIREVE1hIaG4sCBA+jXrx87IxARPSc0Gg3mzp2LzMxMODk56bscIiIiIiIiIiKipwI7IxAREVXDhAkT0K9fP3Tq1EnfpRAR0RNiaGiIxYsX67sMIiIiIiIiIiKipwo7IxAREVXDK6+8ou8SiIiIiIiIiIiIiIiI6jwDfRdARERERERUlymVSuTm5kKr1eq7FCIiIiIiIiIioqcGOyMQERFVQ0lJCRISEhATE6PvUoiI6An5888/YWNjg549e+q7FCIiIiIiIiIioqcGOyMQERFVw4kTJ+Dp6Ynhw4fruxQiInpCsrKyAAA2NjZ6roSIiIiIiIiIiOjpYaTvAp5b+XJAmVH5MlNHwFIGqAqBnBuAtQ9gbAUUJAJFaQ/frpUXYGIPFKYCRcmAfRtdvCgNMHOp1ZdARPQ8cnFxgYmJCYyNjfVdChERPSETJ07EqFGjoFQq9V0KERERERERERHRU4OdEfQhXw4caAaoCypf3nAS0OFHIO8OcMgf6HcGcO4E3PgCiPny4dvuuhvwGAHc3Q5ELwJeywGK0oGjvYCeBwFLj1p/Of/Vhg0b8PPPP+Pw4cNPfN+HDh3CvHnzcOnSJRgYcKAQIvp3vr6+KCoqgkQi0XcpRET0hEgkElhYWMDCwkLfpRARERERERERET01ePVVH5QZuo4InbYBAyMqPlou0OVZeeue2/nqnjd7v/L88g+3vrpcz9FAvzDdzwX3AMX1qkdiqMT48eMhkUiwYsUKUfz333+vcAFOrVbjyy+/hK+vL8zMzGBvb48XXngBp0+f/tf9FBUVYcGCBVi4cKEQW7RoESQSCSQSCQwNDdGgQQNMmTIFmZmZonXXr1+Pnj17wsbGBhKJBNnZ2aLld+/exaRJk+Dl5QVzc3M0bNgQCxcuRHFxsZAzcOBAGBsbY/v27Y/61hDRc67084mIiIiIiIiIiIiIiIiqxpER9MG6EdDzkG60A+OHzDtrZA44tC17blFf93gU5q66x39gZmaGzz77DFOnToW9vX2lOVqtFiNHjsSRI0ewcuVK9OnTBzk5OVi7di169uyJPXv2YOjQoVXu45dffoGNjQ26dOkiirdo0QJHjhyBWq3GjRs3MHHiRCgUCvz8889CTkFBAQYOHIiBAwdi/vz5FbZ98+ZNaDQafP/992jUqBGuXr2KyZMnIz8/H6tWrRLyxo8fj2+++QZvvvlmNd8hIiIiInoe/PDDD0hISMCrr76KNm3a6LscIiIiIiIiIiKipwI7I+iDsQ3gPkDfVfyrvn37Ii4uDsuXL8fnn39eac7u3bvxyy+/YN++fRgyZIgQX79+PR48eIC33noL/fr1g6WlZaXr79q1S7ReKSMjI7i5uQEApFIpRowYgU2bNolyZs2aBQAIDQ2tdNulHRVKeXt7IyYmBt99952oM8KQIUMwffp03L59Gw0bNqx0W0RE5S1btgxRUVGYO3cu/P399V0OERE9Zjt37sTx48fRokULdkYgIiIiIiIiIiJ6RJymQR8Kk4Eri3T/1mGGhoZYtmwZgoKCkJiYWGnOjh074OPjU2mHgtmzZ+PBgwcICQmpch+nTp1Cu3btHlrH3bt3ERwcDBMTk+q9gEooFAo4ODiIYh4eHnB1dcXJkyf/8/aJ6Plw5MgR7NmzB7du3dJ3KURE9AS89tprmD59Opo3b67vUoiIiIiIiIiIiJ4aHBlBH5QZwO0fAY/hgHk9fVfzUMOGDUObNm2wcOFCbNiwocLyW7duoVmzZpWuWxqv6mJddnY2FAoF3N3dKyyLjo6GlZUV1Go1ioqKAABffPFFTV8GACAuLg5BQUGiURFKubu7IyEh4T9tn4ieH1OnTsWwYcPQtm3bf08mIqKn3rRp0/RdAhERERERERER0VOHnRH0wc4XGFb5SAN10WeffYbevXtjzpw5lS7XarU12m5hYSEAwMzMrMKyJk2aYN++fSgqKsK2bdsQFRWFGTNm1Gg/AHD//n0MHDgQI0aMwOTJkyssNzc3R0FBQY23T0TPl9dff13fJRAREREREREREREREdVpnKaB/lX37t0xYMAAzJ8/v8IyHx8f3Lhxo9L1SuM+Pj6VLnd0dIREIkFWVlaFZSYmJmjUqBFatmyJFStWwNDQEIsXL65R/UlJSejVqxc6d+6M9evXV5qTmZkJZ2fnGm2fiIiIiJ5dGo0Gubm5Ne6AS0RERERERERE9LxiZwR9yI4Gfquv+/cpsWLFCuzfvx9nz54VxUeOHInY2Fjs37+/wjqrV6+Go6Mj+vXrV+k2TUxM0Lx5c1y/fv1f9//xxx9j1apVSEpKqlbd9+/fR8+ePeHv749NmzbBwKDiIV9UVITbt2/Dz8+vWtsmoudXcXExEhISEBsbq+9SiIjoMUtLS4ONjQ3Mzc2h0Wj0XQ4REREREREREdFTg9M06IOmBCi8D2Sc1/1cFQsPwMwJKMoACuSAw99zk+fEAKr8h+/DtiVgaALk3QGMLIERCsDQssYl+/r6YvTo0fjmm29E8ZEjR2LPnj0YN24cVq5ciT59+iAnJwdr167Fvn37sGfPHlhaVr3fAQMG4NSpU5g1a9ZD99+pUye0atUKy5Ytw5o1awAAKSkpSElJQVxcHAAgOjoa1tbW8PDwgIODg9ARQSaTYdWqVUhPTxe25+bmJvx87tw5mJqaolOnTtV9W4joOXXo0CG8/PLLaN++Pc6fP6/vcoiI6DHKzMwEAFhZWVXasZWIiIiIiIiIiIgqx84I+mBeT/fvhckPz2v/A9DoLSDxd13uG38PDXt2PPDg3MPXHXoPsKgPRM4FSnKA3sH/tWosWbIEP//8sygmkUiwe/dufPXVV/jyyy/xzjvvwMzMDJ06dUJoaCi6dOny0G1OmjQJ7dq1g0KhgK2t7UNzAwMDMX78eMydOxcNGjTAunXrRFM3dO/eHQCwadMmjB8/HiEhIYiLi0NcXBzq168v2lb5YXZ37tyJ0aNHw8LC4pHeByIiFxcXmJqawsiIv0aJiJ51zZo1Q35+PnJycvRdChERERERERER0VNFouXkp/9ZTk4ObG1toVAoYGNjI1pWVFSE+Ph4eHl5wczMrGxBYbLu8TC1NTKCRg3YNK7BK3syRowYgbZt22L+/PlPfN8ZGRlo0qQJwsPD4eXl9cT3X5uqPNaIqNaV/uqUSCR6roSIiIiIiIiIiIiIiKhu4i2d+mJer2yEhH9j5qR7lLJp8uj7sfKuXl16sHLlSuzfv18v+7579y6+/fbbp74jAhE9WeyEQERERERERERERERE9HAcGaEW1GhkBKJaxmONiIiIqPYdPXoUx48fR+fOnTFo0CB9l0NERERERERERPTUMNB3AURERE+jRYsWYcSIEbh69aq+SyEiosfo+PHj+N///oeDBw/quxQiIiIiIiIiIqKnylPTGSEzMxOjR4+GjY0N7OzsMGnSJOTl5T10nfXr16Nnz56wsbGBRCJBdnZ2hRxPT09IJBLRY8WKFY/pVRAR0bPi4MGD+OWXX3D79m19l0JERI9Rx44dMX36dPTs2VPfpRARERERERERET1VjPRdwKMaPXo0kpOTERISgpKSEkyYMAFTpkzBjh07qlynoKAAAwcOxMCBAzF//vwq85YsWYLJkycLz62trWu1diIievbMmDED2dnZaNmypb5LISKix+jFF1/Eiy++qO8yiIiIiIiIiIiInjpPRWeEGzduXqch1AABAABJREFU4NChQ7h48SLatWsHAAgKCsKgQYOwatUquLu7V7rerFmzAAChoaEP3b61tTXc3Nxqs2QiInrGjRkzRt8lEBERERERERERERER1VlPxTQNZ8+ehZ2dndARAQD69u0LAwMDnD9//j9vf8WKFXB0dISfnx9WrlwJlUr10HylUomcnBzRg4iIiIiInj0FBQXQarX6LoOIiIiIiIiIiOip81R0RkhJSYGLi4soZmRkBAcHB6SkpPynbc+cORO7du3C8ePHMXXqVCxbtgz/93//99B1li9fDltbW+HRoEGD/1QDERE9fZRKJe7evYvbt2/ruxQiInqMWrRoARMTE1y8eFHfpRARERERERERET1V9NoZYd68eZBIJA993Lx587HW8P7776Nnz55o1aoVpk2bhtWrVyMoKAhKpbLKdebPnw+FQiE87t27V+P956XmIeVyWYeKjJgMZCdkAwDUJWokX0pGkaIIAJCfno/kyGQh90HsA2TFZwEANGoNki8lozCrEABQ8KAAyZeShbu4SrdBRES1Y+/evfDy8sLkyZP1XQoRET1GmZmZUKlUsLW11XcpRERERERERERETxW9dkaYPXs2bty48dCHt7c33NzckJaWJlpXpVIhMzMTbm5utVpThw4doFKpcPfu3SpzTE1NYWNjI3pUhzJXibuhd6HMVeLylsv4qddPwrI/xv+BsKVhAICCjAKs918P+Sk5AODa7mvY0HGDkPvn23/i2IfHAAAl+SVY778ed47cAQDc2n8L6/3XQ6vWIj89H7+9+RsUckW16qxL3nzzTSxbtkzfZVSpuLgYnp6eCA8P13cpRPSEuLi4wMzMDIaGhvouhYiIHqPk5GTcu3cPXl5e+i6FiIiIiIiIiIjoqaLXzgjOzs5o2rTpQx8mJibo1KkTsrOzERERIax77NgxaDQadOjQoVZrioqKgoGBQYVpIWpTZmwmfur1EzJjM9F6bGuMOz5OWPby5pfRfUF3AICFkwWmREyBR1cPAECL11pg0rlJQu7g7waj97LeAABjS2NMiZgC777eAACfIT6YEjEFEkMJlDlKaEo0UJeoH7nG8ePHQyKRYMWKFaL477//DolEIjwPDQ3Fyy+/jHr16sHS0hJt2rTB9u3bK77mzEzMmjULMpkMJiYmcHd3x8SJEyGXy/+1lsuXL+Ovv/7CzJkzhdiiRYvQtGlTWFpawt7eHn379sX58+dF60kkEvz++++VvrahQ4cKz8PCwjBkyBC4u7tXuc7evXvRv39/ODo6QiKRICoqSrTcxMQEc+bMwdy5c//19RDRs6F3794oKChASEiIvkshIqLHyMLCAvXr14exsbG+SyEiIiIiIiIiInqq6LUzwqNq1qwZBg4ciMmTJ+PChQs4ffo0pk+fjpEjR8Ld3R0AcP/+fTRt2hQXLlwQ1ktJSUFUVBTi4uIAANHR0YiKikJmZiYA4OzZs/jqq69w+fJl3LlzB9u3b0dgYCDGjBkDe3v7x/Z6nJs7Y0bsDDg3d4aVqxXcWpeN7uDUxAl2MjsAwP+zd99xVdX/H8Bflw2yvIAMlSUOUBQcKUY4UnFh7jRylpYFmqY50qT85fqWmiPN0tTUzFwYiqYmprhBXOBAkSFb4LLnPb8/kKMnhqDoFX09H4/7kPs+7/M57wP3nojzvp+PuqY6LNtaQsdIBwBQz6weLF0txVyTpiaob1dap5q6GizbWkK3vi4AQM9ED5ZtLSGTySBvIod3oDfkTeQ1qlNHRwdLlixBenp6pTmnT59G69atsXv3bly5cgXjxo3D6NGjERAQIOakpaWhU6dOOHr0KNatW4fIyEjs2LEDkZGR6NChA+7evVtlHatWrcKwYcOgr68vxpo1a4bVq1fj6tWrOHXqFGxtbdGrVy+kpKTU6BwBICcnB23atMGaNWuqzHF3d8eSJUsqzfH29sapU6dw/fr1GtdARHVP2XJCREREREREREREREREVJ6Gqguorm3btsHHxwdvv/021NTUMGTIEKxcuVLcXlRUhJs3byI3N1eMrVu3Dl9//bX43MOjdMaBX3/9FWPHjoW2tjZ27NgBPz8/FBQUwM7ODlOnTsW0adOe67lo6GhA7lCzxoBnIQgChBIBMvWa3Tjr0aMHIiMjsWjRIixdurTCnDlz5kieT5kyBX///Tf27NmD/v37AwC+/PJLxMfHIzIyUlxWw9raGocPH0bTpk3x6aefIjAwsMLxS0pKsGvXrnKzLbz33nuS58uWLcOGDRtw5coVvP3229U+RwDo06cP+vTpU2XOqFGjAKDK5Tvq16+PN998Ezt27MCCBQtqVAMRERERvXzu3r2LDRs2wN7eHh988MGTdyAiIiIiIiIiIiJRnZgZAQDkcjm2b9+OrKwsKBQKbNy4UfJJeVtbWwiCgK5du4oxPz+/0hvx/3mMHTsWANC2bVucPXsWGRkZyMvLQ3h4OGbPng1tbe3nei6KWAUCJwdCEat4rscpk3gpEQs0FyDxUmKN9lNXV8fChQuxatUqxMXFVXs/hUIBuby02UKpVGLHjh3w9vYWGxHK6Orq4pNPPsHhw4fF2Sr+68qVK1AoFGjfvn2lxyssLMT69ethZGSENm3aVLvO5+GNN97AyZMnVVoDEb04s2fPxtChQ8UZeIiI6NUSERGBhQsXYu3ataouhYiIiIiIiIiIqM6pM80Ir5LCrELcC7qHwqzCF3I8IxsjvPPrOzCyMarxvoMGDYKLiwvmz59frfydO3fiwoULGDduHAAgJSUFGRkZcHR0rDDf0dERgiBUeiMvOjoa6urqaNCgQbltAQEB0NfXh46ODpYvX44jR47A1NRUkjNy5Ejo6+tLHv+dZaE2WVlZITo6+rmNT0Qvl4CAAOzevbvKWVOIiKjuaty4MXx9fTFkyBBVl0JERERERERERFTn1JllGl4lZk5mmHRl0gs7np6JHlzGujz1/kuWLEH37t0xffr0KvOOHz+OcePG4eeff0bLli0l2wRBeKpj5+XlQVtbu8LlJbp164awsDCkpqbi559/xvDhw3Hu3DlJ48Ly5cvRo0cPyX4zZ85ESUnJU9XzJLq6upKlQojo1TZt2jTk5uaiadOmqi6FiIieg9atW0uWhiMiIiIiIiIiIqLqYzPCayAvPQ93j96FfQ976NbXrfH+Hh4e8PT0xOzZs8UlLv7rxIkT8PLywvLlyzF69GgxbmZmBmNjY0RERFS4X0REBGQyGRwcHCrcbmpqitzcXBQWFkJLS0uyrV69enBwcICDgwM6deqEpk2bYsOGDZg9e7aYY2FhUW5sAwMDZGRkVOPMay4tLQ1mZmbPZWwievmUzQJDREREREREREREREREUlymQQWSriZhWaNlSLqa9EKOlxGVgV3DdyEjKuOpx1i8eDH++usvnDlzpty2oKAg9OvXD0uWLMHEiRMl29TU1DB8+HBs374diYmJkm15eXn48ccf4enpCblcXuFxXVxcAADh4eFPrFGpVKKgoKCaZ/R8XLt2Da6uriqtgYiIiIhqR0FBwVPP8EVERERERERERPS6YzOCCuiZ6qFpv6bITsgWYynhKVDEKgAAxfnFSAhNQEFW6Y317KRsJF5+dCM/9WYqMqIzAAAlRSVICE1AviIfAJCTkoOESwli7oPbD6BtqI1Zilkwb2P+1DU7OzvD29u73DS1x48fR79+/TB58mQMGTIEiYmJSExMRFpampizcOFCWFhYoGfPnggMDERsbCz+/fdfeHp6oqioCGvWrKn0uGZmZmjbti1OnTolxnJycjBnzhycPXsW0dHRCAkJwfjx43H//n0MGzasxueWnZ2NsLAwhIWFAQCioqIQFhaGmJgYMSctLQ1hYWFiU8TNmzcRFhZWrsHi5MmT6NWrV41rIKK6KT8/H1FRUbh7966qSyEioudg/Pjx0NTUxI8//qjqUoiIiIiIiIiIiOocNiOogIGlAQwsDeA/3l+M7RqxC6f/dxoAkBmXifXt1iMhpLSp4PKWy9jcbbOY6z/WH/8u+BcAkJuai/Xt1iPmVOmN8+s7r2NDpw1i7oFJB3B83nFoG2pDTf3ZftzffPMNlEqlJLZ582bk5uZi0aJFsLS0FB+DBw8Wc0xMTHD27Fl069YNH330EZo0aYLhw4ejSZMmuHDhAuzt7as87ocffoht27aJz9XV1XHjxg0MGTIEzZo1g5eXFx48eICTJ0+iZcuWNT6vixcvwtXVVZzRYNq0aXB1dcVXX30l5uzfvx+urq7o168fAGDEiBFwdXXFunXrxJwzZ85AoVBg6NChNa6BiOqmrVu3wt7eHpMnT1Z1KURE9Bykp6ejpKQEenp6qi6FiIiIiIiIiIiozpEJnHf0mWVmZsLIyAgKhQKGhoaSbWWfmrWzs4OOjo4Yz0rIQm5qLsydS2crSAlPgZaBFowaG6E4vxgp4SmQN5VD20Ab2UnZyE7MhkUbCwClMyNo6GjA2MYYJUUlSL6ajPpN6kPHSAc5KTnIjMuEpaslgNKZEdQ01FDfrv4L+m7Uvry8PDRv3hx//PEH3NzcVF1Opd599120adMGc+bMUcnxK3utEdHzs3//frz77rvo2bMn9u/fr+pyiIioluXl5SEtLQ0GBgblfs8nIiIiIiIiIiKiqrEZoRY8TTMC1UxQUBCysrLg5eWl6lIqVFhYiKVLl+Lzzz+Hrq6uSmrga43oxVMqlZDJZJDJZKouhYiIiIiIiIiIiIiI6KWioeoCiKqja9euqi6hSlpaWpg7d66qyyCiF0xNjasdERERERERERERERERVYR3UYiIiIiIiP5DqVTiyy+/xPfff4/8/HxVl0NERERERERERFTnsBmBiIjoGUybNg1DhgxBXFycqkshIqJalJmZiYULF2L69OlcjoeIiIiIiIiIiOgpcJkGIiKiZ7Bv3z5ERUVh+vTpaNSokarLISKiWuTr64usrCxoa2uruhQiIiIiIiIiIqI6h80IREREz2DWrFkoLi6GjY2NqkshIqJaZGxsjJUrV6q6DCIiIiIiIiIiojqLzQhERETPYOLEiaougYiIiIiIiIiIiIiI6KXDZgQiIqJnFB8fj9OnT0Mul6N79+5i/J9//kFaWho6d+4MKysrAEBycjL+/fdfGBkZoWfPnmLuiRMnkJKSgo4dO6Jx48YAgAcPHuD48eOoV68e+vTpI+YGBwcjISEB7dq1g52dHQAgIyMDR48ehba2Nry8vMTcs2fPIi4uDi4uLnBwcAAAZGdn49ChQ9DQ0MDAgQPF3IsXL+LevXto1aoVWrRoAQDIz89HQEAAAGDo0KFi7qVLl3Dnzh04OjqiZcuWAICioiL4+/sDAAYNGgR1dXUAwNWrV3Hz5k00bdoUbdq0AQAIgoDdu3cDAAYMGAAtLS0AQHh4OMLDw2Fvb4+2bduKx9uzZw+USiX69u0LPT09AMCtW7dw5coVWFtb44033hBz/f39UVRUhF69esHQ0BAAcOfOHVy6dAkNGzaEm5ubmHvgwAHk5eXh7bffRv369QEA0dHRuHDhAszNzfHWW2+JuYcPH0ZWVha6dOkCMzMzAEBcXBzOnj0LU1NTdO3aVcw9evQoMjIy4O7uDgsLCwBAYmIiTp06BWNjY/To0UPMDQoKQmpqKtzc3NCwYUMAQEpKCk6cOAEDAwN4enqKuSdPnkRSUhI6dOggzsaRnp6OY8eOQVdXF/369RNzT58+jfj4eLi6uqJJkyYAgMzMTPz999/Q0tLCgAEDxNzz588jJiYGrVu3RrNmzQAAubm5OHjwINTU1DB48GAxNzQ0FHfv3oWTkxOcnJwAAAUFBfjrr78AAEOGDIFMJgMAXL58Gbdv30bz5s3h7OwMACgpKcHevXsBAO+88w40NTUBANevX0dERAQcHBzg4uIiHm/Xrl0AgP79+0NHRwcAcOPGDVy7dg22trZo3769mLtv3z4UFxejd+/e0NfXB9GzKC4uhrq6uvh6JiIiIiIiIiIiohoS6JkpFAoBgKBQKMpty8vLE8LDw4W8vDxJPCM6Q4gPia/wkX4vXRAEQSjMLRTiQ+KFgqyC0uPEKirdp+yRm5YrCIIgZCVmCQmXEsTjZSdlP6ezp5dFZa81Inr+/P39BQBCx44dJfGOHTsKAIT9+/eLsaNHjwoABGdnZ0lut27dBADC77//LsbOnDkjABDs7e0luf379xcACBs2bBBjly9fFgAI5ubmktx3331XACCsXLlSjEVGRgoABAMDA0nuuHHjBADCokWLxFhCQoIAQFBTU5Pk+vj4CACEefPmibGy/x4CkFyLZs6cKQAQpk2bJsaKi4vF3AcPHojxr7/+WgAgfPTRR5LjaWtrCwCEmJgYMfbdd98JAIRRo0ZJcuvXry8AECIiIsTY2rVrBQDC4MGDJbmNGjUSAAghISFibPPmzQIAwdPTU5LbvHlzAYDw77//irFdu3YJAIS33npLkuvq6ioAEAIDA8VYYGCgAEBo27atJNfd3V0AIOzevVuMnThxQgAgNG/eXJLr6ekpABC2bNkixi5evCgAEBo3bizJHTRokABAWLt2rRiLiIgQAAhyuVyS+/777wsAhO+//16MRUdHCwAEbW1tSe5HH30kABC++eYbMZaamir+PEtKSsT41KlTBQDCzJkzxVheXp6Ym5mZKcbnzp0rABB8fX0lx5PJZAIAISHh0e81ixYtEgAI48ePl+Tq6+sLAIQ7d+4IRM9q9erVgrq6ujB27FhVl0JERERERERERFQncWYEFVDEKLDGcQ2Kcosq3O76gSsG/DIA6XfTsb7deow/PR6N3RrjzLIzOLv8bJVjD905FC2HtcTVbVcR5BeE2ZmzkZOSg83dNsM70BtG1kbP45Seu1GjRsHR0RFz5sx54ceeNWsWcnJysGrVqhd+bCKqG0xMTODh4SF+SryMq6srtLW1IZfLxZixsTE8PDxgb28vyW3dujVKSkrET9wDgIGBATw8PMRZFcq0atUKmZmZ4ifuAaBevXrw8PCQHAsAHB0dy42ho6MDDw8PcYaBMs2aNYOHh4c4MwMAaGpqwsPDA2pqapJcBwcHeHh4iJ/OBwB1dXV4eHgAgOSTxHZ2dhWec1muhsajX0dsbGzg4eGBpk2bSnLfeustFBYWQltbW4w1atQIHh4eaN68uSS3c+fOyMrKgq6urhiztLSs8GfUsWNH2NvbSz5Fb25uDg8PD/GT/GU6dOgAc3NzGBk9+m+pqakpPDw80Lp1a0lu27ZtYWBgIM62AAD169eHh4eHOPNAmTZt2kBNTQ2mpqZizMjICB4eHrC2tpbkOjs7Iy8vDw0aNBBj+vr68PDwkMQAwMnJCQ8ePIClpaUY09XVhYeHhzhjRJkWLVrAw8MDjRo1EmPa2trw8PAQZ60o07Rp03K1aWhoiD/Px9nb28PDw0OcwQMofW2U5ZbNngEAtra28PDwEGdxKOPh4QFBEMQZFACgcePGFX4v33zzTeTl5UFHRwdFRUXYs2cPgoODsWzZMsnrjKg60tLSUFJSInntERERERERERERUfXJBEEQVF1EXZeZmQkjIyMoFIpyf9zPz89HVFQU7OzsxKmFE0ITsL7degzaOghmjmblxtM10YWxjTGK8oqQGpEKk2Ym0NLXQmZcJnKSc6qsxdjOGLr1dZGdlI3shGxYuFiIx5sYMhGWbS2r3L/M2LFjsXnzZixatAizZs0S4/v27cOgQYNQ9rIJCgrC8uXLcf78eWRmZqJp06aYMWMGvL29JeOlpaXhm2++wd69e5GQkABTU1P07t0bfn5+5W60/Nfly5fRvXt3REdHizeLunbtihMnTgAovVlibW2NcePGYdasWZIbYJMnT0ZwcDCuXbsGR0dHhIWFScauTv2pqamwt7dHWFhYuRtpL5OKXmtERESvK6VSCVNTU6Snp+PcuXOSpTyIqiM/Px8PHjyAurq6pPmLiIiIiIiIiIiIqocfEVMBuYMc3oe80ditMbQNtSvN09TVlDQPGDYyhGEjw0rzH6dvrg9982dbK1lHRwdLlizBRx99JPlk5+NOnz6N1q1bY+bMmTA3N0dAQABGjx4NIyMj9O/fH0BpI0KnTp2gpaWFdevWoWXLlrh37x7mzp2LDh064MyZM1Xe5F+1ahWGDRtWbu3nCRMm4JtvvkFBQQH++ecfTJw4EcbGxpg0aZIkb/z48Th37hyuXLnyVPWbmprC09MTa9euxf/+978afQ+JiIhINdTU1DB+/HiUlJTA2NhY1eVQHaSjo4OGDRuqugwiIiIiIiIiIqI6izMj1IKazozwoj3tzAgPHjxAZGQkvLy8sHTpUgDlZ0aoSL9+/WBubo6NGzcCACZNmoTffvsNkZGRkk+V5eXloWnTpnB2dkZgYGCFY5WUlMDExATbtm1Dv379xHjXrl3h4uKCFStWiLF27drBxsYGe/bsKTeOn58f9u3bV25mhOrUDwBbtmzBl19+idjY2Cfuryovw2uNiIiIiIiIiIiIiIiIiAgA1J6cQrUtKyELQX5ByErIUnUpVVJXV8fChQuxatUqxMXFVXs/hUIhrlmuVCqxY8cOeHt7l5veVldXF5988gkOHz6MtLS0Cse6cuUKFAoF2rdvX+nxBEHAyZMncePGjXLrWj+Nx+sv88YbbyAuLg737t175vGJiIiI6OX3008/4bvvvuPvf0RERERERERERE+JzQgqkJuai9BfQpGbmqvqUp5o0KBBcHFxwfz586uVv3PnTly4cAHjxo0DAKSkpCAjIwOOjo4V5js6OkIQBERGRla4PTo6Gurq6mjQoEG5bT/++CP09fWhra0NDw8PKJVKTJ48uZpnVr36y1hZWYn1EBERUd0hCAJu3bqF5ORkVZdCdcyKFSswY8YMNiMQERERERERERE9JTYjqIC5szmmxU2DubO5qkupliVLlmDz5s2IiIioMu/48eMYN24cfv75Z7Rs2VKy7WlXA8nLy4O2tjZkMlm5bd7e3ggLC0NwcDD69OmDL7/8Ep07d36q4wBV16+rqwsAyM19+RtIiIiI6JFRo0ahefPm2Lp1q6pLoTpm6NCheP/992Ftba3qUoiIiIiIiIiIiOokDVUXQC8/Dw8PeHp6Yvbs2Rg7dmyFOSdOnICXlxeWL1+O0aNHi3EzMzMYGxtX2sgQEREBmUwGBweHCrebmpoiNzcXhYWF5ZZgMDIyEvfbuXMnHBwc0KlTJ/To0aPG51hZ/WXKlpEwMzOr8dhERESkOm3atMGff/6J1NRUVZdCdcyCBQtUXQIREREREREREVGdxpkRVCDpahKWNVqGpKtJqi6l2hYvXoy//voLZ86cKbctKCgI/fr1w5IlSzBx4kTJNjU1NQwfPhzbt29HYmKiZFteXh5+/PFHeHp6Qi6XV3hcFxcXAEB4eHiV9enr62PKlCmYPn16jWdhqKr+MteuXYOmpma5GROIiIjo5fbxxx8jIyMDCxcuVHUpRERERERERERERK8VzoygAsoiJbLuZ+H+uftQFikrzTOyNoKeqR5yU3OhiFHAsq0lACD1ZiqKcoqqPEaDVg2grqWO9Lvp0KyniVmKWdCsp/nUNTs7O8Pb2xsrV66UxI8fP47+/ftjypQpGDJkiNhwoKWlJTYYLFy4EMeOHUPPnj2xdOlStGrVClFRUZg7dy6KioqwZs2aSo9rZmaGtm3b4tSpU2JjQmU++ugjLFiwALt378bQoUMBAJGRkcjOzkZiYiLy8vIQFhYGAHBycoKWlla16geAkydP4q233hKXayAiIqK6wcDAQNUlUB2kVCohk8kqXCqMiIiIiIiIiIiIqkcm1PRj5FROZmYmjIyMoFAoYGhoKNmWn5+PqKgo2NnZQUdHBwCQlZCFZVbLnjiu189eaPthW4T+Eoq/JvyF+cJ8AMAGtw2IOxtX5b5TY6fCsJEh/hz2JwoyC/D+4fdrdE5jx45FRkYG9u3bJ8bu3buH5s2bo7CwUJx9YOzYsdi8eXO5/bt06YKgoCDxeWpqKr755hvs27cPiYmJkMvl6NOnD77++usnrsO7du1abNmyRTIrQ9euXeHi4oIVK1ZIcj/++GOcOnUKV65cgZqaGrp27YoTJ06UGzMqKgq2trbVrr9Fixbw8/PDiBEjqqxVlSp6rRERERFRzV26dAkdOnSAo6Mjrl69qupyiIiIiIiIiIiI6iQ2I9SCmjYjAKUNCdkJ2VWOW1szIyhLlDBpavKUZ6d6eXl5aN68Of744w+4ubm98OMHBgbi888/x5UrV6Ch8fJOJsJmBCIiooqdO3cO33zzDczMzLBp0yZVl0N1wLFjx9CjRw+0bNkS165dU3U5REREREREREREddLLe2f1FWdgaQADy+pNG6xnqgc9Uz3xuWlz02ofp759/RrX9rLR1dXFli1bkJqaqpLj5+Tk4Ndff32pGxGIiIiockqlEgcPHoSJiQmUSiXU1NRUXRK95Dw8PHD//n3k5+eruhQiIiIiIiIiIqI6i3dXqU7o2rWryo49dOhQlR2biIiInl379u2xfPlydOnSBTKZTNXlUB2gqakJKysrVZdBRERERERERERUp7EZgYiIiIheaZqamvjss89UXQYRERERERERERHRa4XNCERERERERI8JDAzE9evX4eHhgTfeeEPV5RAREREREREREdVJXDCXiIiIiF55RUVFOHLkCBYsWABBEFRdDr3kdu3ahRkzZuDo0aOqLoWIiIiIiIiIiKjO4swIRERERPTKUyqVGDBgAPLz8zF06FA4OjqquiR6iXXu3BmFhYVwcXFRdSlERERERERERER1Vp2ZGSEtLQ3e3t4wNDSEsbExPvjgA2RnZ1eZ7+vri+bNm0NXVxfW1taYPHkyFAqFJC8mJgb9+vWDnp4eGjRogBkzZqC4uPh5nw4RERERvUDa2toYOnQoRo0apepSqA744IMP8Ntvv6Fv376qLoWIiIiIiIiIiKjOqjMzI3h7eyMhIQFHjhxBUVERxo0bh4kTJ2L79u0V5sfHxyM+Ph7fffcdnJycEB0djY8//hjx8fHYtWsXAKCkpAT9+vWDhYUFTp8+jYSEBIwePRqamppYuHDhizw9IiIiInrOfvvtN1WXQERERERERERERPTakAl1YNHciIgIODk54cKFC2jfvj0A4NChQ+jbty/i4uJgZWVVrXH+/PNPvP/++8jJyYGGhgYCAwPRv39/xMfHw9zcHACwbt06zJw5EykpKdDS0qrWuJmZmTAyMoJCoYChoaFkW35+PqKiomBnZwcdHZ1y+yYBSATQ5uHzmwB0ANgAKAJwFUATAEYAUgDEAXB9mHsbpd0kdgBKAFx++HV9AA8ARD/MlQFQPByDXl1Peq0RERERUfUIggCZTKbqMoiIiIiIiIiIiOq0OrFMw5kzZ2BsbCw2IgBAjx49oKamhnPnzlV7nLJmAQ0NDXFcZ2dnsREBADw9PZGZmYnr169XOk5BQQEyMzMlj5rIAhD08N8tALo9tm0sgAUPv04F0A7AqYfPdwLo9FjuJABzHn6d8zD36MPnfz18XoLSJoZRAGJqVOXzN2/ePEycOFHVZVSpU6dO2L17t6rLICIiolqUkpJSbukuoscZGhrCzMwMcXFxqi6FiIiIiIiIiIiozqoTzQiJiYlo0KCBJKahoQG5XI7ExMRqjZGamooFCxZIbn4nJiZKGhEAiM+rGnfRokUwMjISH40bN67uqQAondGg28N/RwM4/ti2TQDmPfzaFEAIAPeHz4cDOPtY7loAZYtJ1HuY2+Phc6+Hz9UBZKJ0loWiGtQ4duxYyGQyLF68WBLft2+f5FNiQUFBeOedd2BpaYl69erBxcUF27Zte+L4iYmJ+OGHH/Dll18+Op+1a9G6dWsYGhrC0NAQbm5uCAwMlOxna2uLFStWlBvPz88PLi4u4vPr169jyJAhsLW1hUwmq3Cff//9F15eXrCysoJMJsO+ffvK5cydOxezZs2CUql84jkRERHRy2/s2LFo0KABdu7cqepS6CWVl5eH7OxspKamlpv1jIiIiIiIiIiIiKpPpc0Is2bNgkwmq/Jx48aNZz5OZmYm+vXrBycnJ/j5+T3zeLNnz4ZCoRAfsbGxNdrfCaWNCE4AzPFoiQYAaI7SJRoAQBNAWzxaXsEMj5ZoAICmKF2WAShtOmiL0iUaAMDk4XMZSpd5CHz4b03o6OhgyZIlSE9PrzTn9OnTaN26NXbv3o0rV65g3LhxGD16NAICAqoc+5dffkHnzp1hY2Mjxho1aoTFixcjJCQEFy9eRPfu3fHOO+9UOUtFZXJzc2Fvb4/FixfDwsKiwpycnBy0adMGa9asqXScPn36ICsrq1xTBBEREdVN1tbWAIDbt2+ruBJ6WWlra+P+/fu4evUqDAwMVF0OERERERERERFRnaWhyoN//vnnGDt2bJU59vb2sLCwQHJysiReXFyMtLS0Sm80l8nKykLv3r1hYGCAvXv3QlNTU9xmYWGB8+fPS/KTkpLEbZXR1taGtrZ2lcetig4Ah6feu+YElC7XoI7S5oTq6tGjByIjI7Fo0SIsXbq0wpw5c+ZInk+ZMgV///039uzZg/79+1c69o4dOzBp0iRJzMvLS/L822+/xdq1a3H27Fm0bNmyBpUDHTp0QIcOHQCUNr1UpE+fPujTp0+V46irq6Nv377YsWMH+vXrV6MaiIiI6OXj4+ODyZMnw9TUVNWl0EtKTU0NVlZWsLKyUnUpREREREREREREdZpKZ0YwMzNDixYtqnxoaWnBzc0NGRkZCAkJEff9559/oFQq0bFjx0rHz8zMRK9evaClpYX9+/dDR0dHst3NzQ1Xr16VNDocOXIEhoaGcHJyqv0TfigWwOSH/74Il1A6y8KlGu6nrq6OhQsXYtWqVTVaL1ehUEAul1e6PS0tDeHh4Wjfvn2lOSUlJdixYwdycnLg5uZWo7pr2xtvvIGTJ0+qtAYiIiKqHQ0aNGAjAhEREREREREREdELoNJmhOpydHRE7969MWHCBJw/fx7BwcHw8fHBiBEjxE8s3b9/Hy1atBBnOihrRMjJycGGDRuQmZmJxMREJCYmoqSkBADQq1cvODk5YdSoUbh8+TIOHz6MuXPn4tNPP32mmQ+eJAtA0MN/XwQbAL/i0fIPNTFo0CC4uLhg/vz51crfuXMnLly4gHHjxlWaExMTA0EQKvy02dWrV6Gvrw9tbW18/PHH2Lt3b7nGkJkzZ0JfX1/yWLhwYc1OrAasrKwQGxsLpVL53I5BRERERC+H69ev47vvvnvismNERERERERERERUtTrRjAAA27ZtQ4sWLfD222+jb9++cHd3x/r168XtRUVFuHnzJnJzcwEAoaGhOHfuHK5evQoHBwdYWlqKj9jY0jkJ1NXVERAQAHV1dbi5ueH999/H6NGj8c033zzXc3ECcOXhvy+CCYCxD/99GkuWLMHmzZsRERFRZd7x48cxbtw4/Pzzz1Uuq5CXlwcA5WaqAIDmzZsjLCwM586dw6RJkzBmzBiEh4dLcmbMmIGwsDDJ4+OPP36KM6seXV1dKJVKFBQUPLdjEBER0Ytz8eJFjBo1Cl988YWqS6GX0NmzZzFjxgysW7dO1aUQERERERERERHVaRqqLqC65HI5tm/fXul2W1tbCIIgPu/atavkeWVsbGxw8ODBWqnxZZUO4CiAHgDqP8X+Hh4e8PT0xOzZszF27NgKc06cOAEvLy8sX74co0ePrnK8sqmR09PTYWZmJtmmpaUFBwcHAEC7du1w4cIF/PDDD/jpp58k+5fllKlqWYhnlZaWhnr16kFXV/e5HYOIiIhenLS0NGzduhU2NjZYunSpqsuhl4ydnR3ef/99uLi4qLoUIiIiIiIiIiKiOq3ONCO8Sq4C6AMgEIDzCzheFIDhAELwdM0IALB48WK4uLigefPm5bYFBQWhf//+WLJkCSZOnPjEsZo0aQJDQ0OEh4ejWbNmVea+DDMSXLt2Da6uriqtgYiIiGpP586dMXfuXLF5VSaTqbokeol0794d3bt3V3UZREREREREREREdR6bEVTAFEA/AAl41IwQDsAAQGMA+Q+fN30YSwKQCKDNw9ybAHQA2AAoQmlzQxMARgBSAMQBKLt1fhuAIQAFgHrPULOzszO8vb2xcuVKSfz48ePo378/pkyZgiFDhiAxMRFA6QwHlc1WoKamhh49euDUqVMYOHCgGJ89ezb69OkDa2trZGVlYfv27QgKCsLhw4drXG9hYaG4vENhYSHu37+PsLAw6Ovri7MqZGdnIzIyUtwnKioKYWFhkMvlsLa2FuMnT55Er169alwDERERvZz09fWxYMECVZdBRERERERERERE9EpTU3UBryPLh4/xj8VGAPjfw6/jALRD6UwGALAFQLfHcscCKPvzeerD3FMPn+8E0Omx3EkA5qG0IUH9Gev+5ptvoFQqJbHNmzcjNzcXixYtgqWlpfgYPHhwlWN9+OGH2LFjh2S85ORkjB49Gs2bN8fbb7+NCxcu4PDhw+jZs2eNa42Pj4erqytcXV2RkJCA7777Dq6urvjwww/FnIsXL4o5ADBt2jS4urriq6++EnPu37+P06dPY9y4cTWugYiIiIiIiIiIiIiIiIjodSUTBEFQdRF1XWZmJoyMjKBQKGBoaCjZlp+fj6ioKNjZ2UFHR0eMJ6C0keBFzIygAcCuFs+3NgiCgI4dO2Lq1KkYOXKkqsup1MyZM5Geno7169erupQnquy1RkREROWVlJTg8uXLuHjxYrWWmaLXh6enJ0JDQ7FhwwYMGDBA1eUQERERERERERHVWVymQUXKZkco4/TY1zoA2j723Pzho0zzx77W/E+u2cNHmabPVuZzI5PJsH79ely9elXVpVSpQYMGmDZtmqrLICIiolqWk5ODDh06QKlUom/fvmjUqJGqS6KXRHJyMlJTU6GlpaXqUoiIiIiIiIiIiOo0NiOQyri4uMDFxUXVZVTp888/V3UJRERE9BwYGhqie/fu0NbWRlZWlqrLoZdIYGAgUlNTYW1trepSiIiIiIiIiIiI6jQ2IxARERHRa+nIkSOqLoFeQhYWFrCwsFB1GURERERERERERHWemqoLICIiIiIiIiIiIiIiIiIiolcLmxGIiIiI6LWWl5eH/Px8VZdBL4GsrCx89913+PXXX1VdChERERERERERUZ3HZgQiIiIiem1NnDgRxsbG2Ldvn6pLoZdAXFwcZsyYgc8//1zVpRAREREREREREdV5bEYgIiIiotdWvXr1UFhYiIsXL6q6FHoJ6Ojo4P3338fgwYNVXQoREREREREREVGdJxMEQVB1EXVdZmYmjIyMoFAoYGhoKNmWn5+PqKgo2NnZQUdHR0UV0uuArzUiIqKau3fvHoqKiuDg4ACZTKbqcoiIiIiIiIiIiIheGRqqLuB1FQMgtZJtJgBsAOQBiADQDIA+gDgAyU8Y1w5AfQBJABIAuDyMJwNo8EwV17558+YhKSkJ69evf+HHXrduHQ4cOIC//vrrhR+biIiIXh62traqLoGIiIiIiIiIiIjolcRlGlQgBoAjgHaVPBY8zLv78PnVh8+XVbFP2ePow9xtADwefp0CoNvD41bX2LFjIZPJsHjxYkl83759kk8NBgUF4Z133oGlpSXq1asHFxcXbNu27YnjJyYm4ocffsCXX35Z7pgymQyampqws7PDF198gfz8fMm+3377LTp37gw9PT0YGxuXG/vy5csYOXIkGjduDF1dXTg6OuKHH36Q5IwfPx6hoaE4efJkdb4dRERERERERERERERERERUA2xGUIFUALkAtgIIqeAx72Ge/cPnzg+fT6sk//FHj4e53gD+ffh1LIBwVD4TQ2V0dHSwZMkSpKenV5pz+vRptG7dGrt378aVK1cwbtw4jB49GgEBAVWO/csvv6Bz586wsbGRxHv37o2EhATcvXsXy5cvx08//YT58+dLcgoLCzFs2DBMmjSpwrFDQkLQoEEDbN26FdevX8eXX36J2bNnY/Xq1WKOlpYW3nvvPaxcufJJ3wYiIiJ6xV2+fBmfffYZli5dqupSSMX8/PxgamqKr7/+WtWlEBERERERERER1XlcpkEFHAAcAuAGwLCKPF0AbR973ujhozrMHz6eRY8ePRAZGYlFixZV+sf5OXPmSJ5PmTIFf//9N/bs2YP+/ftXOvaOHTsqbCbQ1taGhYUFAKBx48bo0aMHjhw5giVLlog5ZX8c3rRpU4Vjjx8/XvLc3t4eZ86cwZ49e+Dj4yPGvby80LNnT+Tl5UFXV7fSWomIiOjVFhkZiR9++AEtW7bEF198oepySIVSUlLw4MEDlJSUqLoUIiIiIiIiIiKiOo8zI6iAIQBPVN2I8DJQV1fHwoULsWrVKsTFxVV7P4VCAblcXun2tLQ0hIeHo3379lWOc+3aNZw+fRpaWlrVPnZNamrfvj2Ki4tx7ty5Zx6fiIiI6q4uXbpg0qRJ+OqrryAIgqrLIRVasGABrl27ho8++kjVpRAREREREREREdV5nBlBBRIA/ATgIwCWKq7lSQYNGgQXFxfMnz8fGzZseGL+zp07ceHCBfz000+V5sTExEAQBFhZWZXbFhAQAH19fRQXF6OgoABqamqS5RWexunTp/HHH3/gwIEDkrienh6MjIwQHR39TOMTERFR3WZqaooff/xR1WXQS0Aul1fZVEtERERERERERETVx5kRVCAVwC8P/60LlixZgs2bNyMiIqLKvOPHj2PcuHH4+eef0bJly0rz8vLyAAA6OjrltnXr1g1hYWE4d+4cxowZg3HjxmHIkCFPXfu1a9fwzjvvYP78+ejVq1e57bq6usjNzX3q8YmIiIiIiIiIiIiIiIiIqDw2I6iAM4C4h//WBR4eHvD09MTs2bMrzTlx4gS8vLywfPlyjB49usrxTE1NAQDp6enlttWrVw8ODg5o06YNNm7ciHPnzlVrRoaKhIeH4+2338bEiRMxd+7cCnPS0tJgZmb2VOMTERHRq+XevXvYt2+fqssgFVq/fj02bNiAtLQ0VZdCRERERERERERU53GZBqqWxYsXw8XFBc2bNy+3LSgoCP3798eSJUswceLEJ47VpEkTGBoaIjw8HM2aNas0T01NDXPmzMG0adPw3nvvQVdXt9r1Xr9+Hd27d8eYMWPw7bffVphz584d5Ofnw9XVtdrjEhER0aspJSUFdnZ2kMlkSE1N5VT9r6mZM2ciIyMDb775Jl8DREREREREREREz4gzI6jAVQCNHv5bVzg7O8Pb2xsrV66UxI8fP45+/fph8uTJGDJkCBITE5GYmFjlp8nU1NTQo0cPnDp16onHHTZsGNTV1bFmzRoxFhMTg7CwMMTExKCkpARhYWEICwtDdnY2gNKlGbp164ZevXph2rRpYk0pKSmSsU+ePAl7e3s0adKkJt8KIiIiegWZmZnB2dkZHTt2RFJSEgAgICAA/v7+kiWd7ty5A39/f4SEhEj2DwwMhL+/P7KyssTYvXv34O/vj3Pnzkly//77b/j7+0tmiYqNjYW/vz9Onz4tyT127Bj8/f2Rmvpoga+EhAT4+/vj5MmTktwTJ07A399frB8AkpOT4e/vj+PHj0tyT506BX9/f9y/f1+MPXjwAP7+/jh69Kgk98yZM/D390dMTIwYUygU8Pf3x+HDhyW5Fy5cgL+/P6KiosRYdnY2/P39ceDAAUluaGgo/P39cfv2bTGWl5cHf39/7N+/X5J7+fJl+Pv748aNG2KsqKgI/v7+8Pf3h1KpFOPXr1+Hv78/rl+/LsaUSqWYW1RUJMZv3LgBf39/XLlyBYIgYMCAAejXrx9nziIiIiIiIiIiIqoNAj0zhUIhABAUCkW5bXl5eUJ4eLiQl5cnxkIEQYAgCD8//LqyR8rD/JSHz8vceMJ+IYIgFDzMvfMwXyEIQnENzmnMmDHCO++8I4lFRUUJWlpawuMvmzFjxggAyj26dOlS5fgHDx4UGjZsKJSUlFR5TEEQhEWLFglmZmZCdnZ2lcc8fvy4IAiCMH/+/Aq329jYSMbt1auXsGjRomp/T152Fb3WiIiIqPqKiookz3V1dQUAQlRUlBhbvny5AEB47733JLmmpqYCAOH69eti7KeffhIAlPv9xsbGRgAgnD9/Xoxt3bpVACD07NlTkuvo6Cj5PUcQBGHv3r0CAKFz586S3Pbt2wsAhAMHDoixw4cPCwCENm3aSHK7dOkiABB27twpxk6dOiUAEJo2bSrJ7dOnjwBA+PXXX8XYpUuXBACClZWVJHfo0KECAGHNmjVi7ObNmwIAwcjISJJb9jvd0qVLxVhcXJwAQNDU1JTkTpo0SQAgzJ8/X4ylp6eLv+cVFhaK8enTpwsAhBkzZoixgoICMTc9PV2Ml/3e+MknnwhERERERERERERUu7hMgwpYPvx3whPyfgbwIYB9D3OFh/GxAM4+Yd9YlM6+MBNAJoDDVaeXs2nTpnIxW1tbFBQUlMurKPdJevfuDSsrK/zxxx8YOXJkpccEgFmzZmHWrFnVPqafnx/8/PyqPP7169cRFhaGnTt31rR0IiIiekVpaEh/Ne7YsSMKCgqgra0txiwtLeHm5oamTZtKcjt06ICMjAzJslLm5uZwc3Mrt8xV27ZtYWVlBX19fTFmamoKNzc3ODk5SXJdXFxgbGwMQ0NDMSaXy+Hm5oZWrVpJcp2dnaGpqQljY2MxZmRkVGG9LVu2RGFhIUxMTMSYgYEB3Nzc0LhxY0muo6MjMjIyJLMF6Onpwc3NDaamppLcZs2awc3NDRYWFmJMR0cHbm5ukvMFAAcHB7i5ucHKykqMaWlpwc3NrdzPws7Orlxt6urqcHNzAwDIZDIxbmNjAzc3N9jY2IgxmUwm5qqrq4vxxo0bw83NDXZ2diAiIiIiIiIiIqLaJRMEQXhyGlUlMzMTRkZGUCgUkj8UA0B+fj6ioqJgZ2cHHR0dMZ7w8FEVawCmAFIBxABo+zB+E0DOE/ZtBUALwF0AJQCaVp2uEmFhYbh69SpGjRr1wo999OhRlJSUwNPT84Uf+3mp7LVGRERERERERERERERERPSicWYEFbHEoxkSnsT04aNM88oSK2Bfg9wXzcXFBS4uLio5do8ePVRyXCIiIiIiIiIiIiIiIiKi14GaqgsgIiIiIiIiIiIiIiIiIiKiVwubEYiIiIiIiIiIiIiIiIiIiKhWsRnhBREEQdUl0CuOrzEiIiIiIiIiIiIiIiIielmwGeE5U1dXBwAUFhaquBJ61eXm5gIANDU1VVwJEREREREREREREREREb3uNFRdwKtOQ0MDenp6SElJgaamJtTU2P9BtUsQBOTm5iI5ORnGxsZiAwwRERERERERERERERERkaqwGeE5k8lksLS0RFRUFKKjo1VdDr3CjI2NYWFhoeoyiIiIiIiIiIiIiIiIiIjYjPAiaGlpoWnTplyqgZ4bTU1NzohARERERERERERERERERC8NNiO8IGpqatDR0VF1GURERERERERERERERERERM+dmqoLqK60tDR4e3vD0NAQxsbG+OCDD5CdnV1lvq+vL5o3bw5dXV1YW1tj8uTJUCgUkjyZTFbusWPHjud9OkRERERERERERERERERERK+sOjMzgre3NxISEnDkyBEUFRVh3LhxmDhxIrZv315hfnx8POLj4/Hdd9/ByckJ0dHR+PjjjxEfH49du3ZJcn/99Vf07t1bfG5sbPw8T4WIiIiIiIiIiIiIiIiIiOiVJhMEQVB1EU8SEREBJycnXLhwAe3btwcAHDp0CH379kVcXBysrKyqNc6ff/6J999/Hzk5OdDQKO3DkMlk2Lt3LwYOHPjU9WVmZsLIyAgKhQKGhoZPPQ4REREREREREREREREREdGroE7MjHDmzBkYGxuLjQgA0KNHD6ipqeHcuXMYNGhQtcYpaxYoa0Qo8+mnn+LDDz+Evb09Pv74Y4wbNw4ymazScQoKClBQUCAZFyhtSiAiIiIiIiIiIiIiIiIiInqVGRgYVHlPHagjzQiJiYlo0KCBJKahoQG5XI7ExMRqjZGamooFCxZg4sSJkvg333yD7t27Q09PD3///Tc++eQTZGdnY/LkyZWOtWjRInz99dfl4o0bN65WLURERERERERERERERERERHVVdVYNUGkzwqxZs7BkyZIqcyIiIp75OJmZmejXrx+cnJzg5+cn2TZv3jzxa1dXV+Tk5OB///tflc0Is2fPxrRp08TnSqUSaWlpMDExeWL3Bz29zMxMNG7cGLGxsVwOg+g1xGsA0euN1wCi1xuvAUSvN14DiF5ffP8Tvd54DSB6vfEa8PIzMDB4Yo5KmxE+//xzjB07tsoce3t7WFhYIDk5WRIvLi5GWloaLCwsqtw/KysLvXv3hoGBAfbu3QtNTc0q8zt27IgFCxagoKAA2traFeZoa2uX22ZsbFzluFR7DA0NedEheo3xGkD0euM1gOj1xmsA0euN1wCi1xff/0SvN14DiF5vvAbUbSptRjAzM4OZmdkT89zc3JCRkYGQkBC0a9cOAPDPP/9AqVSiY8eOle6XmZkJT09PaGtrY//+/dDR0XniscLCwlC/fv1KGxGIiIiIiIiIiIiIiIiIiIioaiptRqguR0dH9O7dGxMmTMC6detQVFQEHx8fjBgxAlZWVgCA+/fv4+2338aWLVvwxhtvIDMzE7169UJubi62bt2KzMxMZGZmAihtglBXV8dff/2FpKQkdOrUCTo6Ojhy5AgWLlyI6dOnq/J0iYiIiIiIiIiIiIiIiIiI6rQ60YwAANu2bYOPjw/efvttqKmpYciQIVi5cqW4vaioCDdv3kRubi4AIDQ0FOfOnQMAODg4SMaKioqCra0tNDU1sWbNGkydOhWCIMDBwQHLli3DhAkTXtyJUbVpa2tj/vz5nLWC6DXFawDR643XAKLXG68BRK83XgOIXl98/xO93ngNIHq98RrwapAJgiCouggiIiIiIiIiIiIiIiIiIiJ6daipugAiIiIiIiIiIiIiIiIiIiJ6tbAZgYiIiIiIiIiIiIiIiIiIiGoVmxGIiIiIiIiIiIiIiIiIiIioVrEZgYiIiIiIiIiIiIiIiIiIiGoVmxGozlizZg1sbW2ho6ODjh074vz586ouiYhq2aJFi9ChQwcYGBigQYMGGDhwIG7evCnJyc/Px6effgoTExPo6+tjyJAhSEpKUlHFRPQ8LV68GDKZDJ999pkY4zWA6NV2//59vP/++zAxMYGuri6cnZ1x8eJFcbsgCPjqq69gaWkJXV1d9OjRA7dv31ZhxURUW0pKSjBv3jzY2dlBV1cXTZo0wYIFCyAIgpjDawDRq+Pff/+Fl5cXrKysIJPJsG/fPsn26rzf09LS4O3tDUNDQxgbG+ODDz5Adnb2CzwLInpaVV0DioqKMHPmTDg7O6NevXqwsrLC6NGjER8fLxmD1wCiuulJvwM87uOPP4ZMJsOKFSskcb7/6xY2I1Cd8Mcff2DatGmYP38+QkND0aZNG3h6eiI5OVnVpRFRLTpx4gQ+/fRTnD17FkeOHEFRURF69eqFnJwcMWfq1Kn466+/8Oeff+LEiROIj4/H4MGDVVg1ET0PFy5cwE8//YTWrVtL4rwGEL260tPT8eabb0JTUxOBgYEIDw/H999/j/r164s5S5cuxcqVK7Fu3TqcO3cO9erVg6enJ/Lz81VYORHVhiVLlmDt2rVYvXo1IiIisGTJEixduhSrVq0Sc3gNIHp15OTkoE2bNlizZk2F26vzfvf29sb169dx5MgRBAQE4N9//8XEiRNf1CkQ0TOo6hqQm5uL0NBQzJs3D6GhodizZw9u3ryJAQMGSPJ4DSCqm570O0CZvXv34uzZs7Cysiq3je//ukUmPN5iTvSS6tixIzp06IDVq1cDAJRKJRo3bgxfX1/MmjVLxdUR0fOSkpKCBg0a4MSJE/Dw8IBCoYCZmRm2b9+OoUOHAgBu3LgBR0dHnDlzBp06dVJxxURUG7Kzs9G2bVv8+OOP+L//+z+4uLhgxYoVvAYQveJmzZqF4OBgnDx5ssLtgiDAysoKn3/+OaZPnw4AUCgUMDc3x6ZNmzBixIgXWS4R1bL+/fvD3NwcGzZsEGNDhgyBrq4utm7dymsA0StMJpNh7969GDhwIIDq/Tc/IiICTk5OuHDhAtq3bw8AOHToEPr27Yu4uLgKb1wQ0cvpv9eAily4cAFvvPEGoqOjYW1tzWsA0Suisvf//fv30bFjRxw+fBj9+vXDZ599Js6cyvd/3cOZEeilV1hYiJCQEPTo0UOMqampoUePHjhz5owKKyOi502hUAAA5HI5ACAkJARFRUWS60GLFi1gbW3N6wHRK+TTTz9Fv379JO91gNcAolfd/v370b59ewwbNgwNGjSAq6srfv75Z3F7VFQUEhMTJdcAIyMjdOzYkdcAoldA586dcezYMdy6dQsAcPnyZZw6dQp9+vQBwGsA0eukOu/3M2fOwNjYWLwJAQA9evSAmpoazp0798JrJqLnS6FQQCaTwdjYGACvAUSvMqVSiVGjRmHGjBlo2bJlue18/9c9GqougOhJUlNTUVJSAnNzc0nc3NwcN27cUFFVRPS8KZVKfPbZZ3jzzTfRqlUrAEBiYiK0tLTE//EoY25ujsTERBVUSUS1bceOHQgNDcWFCxfKbeM1gOjVdvfuXaxduxbTpk3DnDlzcOHCBUyePBlaWloYM2aM+D6v6P8LeA0gqvtmzZqFzMxMtGjRAurq6igpKcG3334Lb29vAOA1gOg1Up33e2JiIho0aCDZrqGhAblczmsC0SsmPz8fM2fOxMiRI2FoaAiA1wCiV9mSJUugoaGByZMnV7id7/+6h80IRET0Uvr0009x7do1nDp1StWlENELEhsbiylTpuDIkSPQ0dFRdTlE9IIplUq0b98eCxcuBAC4urri2rVrWLduHcaMGaPi6ojoedu5cye2bduG7du3o2XLlggLC8Nnn30GKysrXgOIiIheU0VFRRg+fDgEQcDatWtVXQ4RPWchISH44YcfEBoaCplMpupyqJZwmQZ66ZmamkJdXR1JSUmSeFJSEiwsLFRUFRE9Tz4+PggICMDx48fRqFEjMW5hYYHCwkJkZGRI8nk9IHo1hISEIDk5GW3btoWGhgY0NDRw4sQJrFy5EhoaGjA3N+c1gOgVZmlpCScnJ0nM0dERMTExACC+z/n/BUSvphkzZmDWrFkYMWIEnJ2dMWrUKEydOhWLFi0CwGsA0eukOu93CwsLJCcnS7YXFxcjLS2N1wSiV0RZI0J0dDSOHDkizooA8BpA9Ko6efIkkpOTYW1tLf5tMDo6Gp9//jlsbW0B8P1fF7EZgV56WlpaaNeuHY4dOybGlEoljh07Bjc3NxVWRkS1TRAE+Pj4YO/evfjnn39gZ2cn2d6uXTtoampKrgc3b95ETEwMrwdEr4C3334bV69eRVhYmPho3749vL29xa95DSB6db355pu4efOmJHbr1i3Y2NgAAOzs7GBhYSG5BmRmZuLcuXO8BhC9AnJzc6GmJv0zlbq6OpRKJQBeA4heJ9V5v7u5uSEjIwMhISFizj///AOlUomOHTu+8JqJqHaVNSLcvn0bR48ehYmJiWQ7rwFEr6ZRo0bhypUrkr8NWllZYcaMGTh8+DAAvv/rIi7TQHXCtGnTMGbMGLRv3x5vvPEGVqxYgZycHIwbN07VpRFRLfr000+xfft2+Pv7w8DAQFzjycjICLq6ujAyMsIHH3yAadOmQS6Xw9DQEL6+vnBzc0OnTp1UXD0RPSsDAwO0atVKEqtXrx5MTEzEOK8BRK+uqVOnonPnzli4cCGGDx+O8+fPY/369Vi/fj0AQCaT4bPPPsP//d//oWnTprCzs8O8efNgZWWFgQMHqrZ4InpmXl5e+Pbbb2FtbY2WLVvi0qVLWLZsGcaPHw+A1wCiV012djYiIyPF51FRUQgLC4NcLoe1tfUT3++Ojo7o3bs3JkyYgHXr1qGoqAg+Pj4YMWIErKysVHRWRFRdVV0DLC0tMXToUISGhiIgIAAlJSXi3wjlcjm0tLR4DSCqw570O8B/m480NTVhYWGB5s2bA+DvAHWSQFRHrFq1SrC2tha0tLSEN954Qzh79qyqSyKiWgagwsevv/4q5uTl5QmffPKJUL9+fUFPT08YNGiQkJCQoLqiiei56tKlizBlyhTxOa8BRK+2v/76S2jVqpWgra0ttGjRQli/fr1ku1KpFObNmyeYm5sL2trawttvvy3cvHlTRdUSUW3KzMwUpkyZIlhbWws6OjqCvb298OWXXwoFBQViDq8BRK+O48ePV/j//2PGjBEEoXrv9wcPHggjR44U9PX1BUNDQ2HcuHFCVlaWCs6GiGqqqmtAVFRUpX8jPH78uDgGrwFEddOTfgf4LxsbG2H58uWSGN//dYtMEAThBfU9EBERERERERERERERERER0WtA7ckpRERERERERERERERERERERNXHZgQiIiIiIiIiIiIiIiIiIiKqVWxGICIiIiIiIiIiIiIiIiIiolrFZgQiIiIiIiIiIiIiIiIiIiKqVWxGICIiIiIiIiIiIiIiIiIiolrFZgQiIiIiIiIiIiIiIiIiIiKqVWxGICIiIiIiIiIiIiIiIiIiolrFZgQiIiIiIiIiIiIiIiIiIiKqVWxGICIiIiIiIiIiIiIiIiIiolrFZgQiIiIiIiIiIiIiIiIiIiKqVWxGICIiIiIiIiIiIiIiIiIiolrFZgQiIiIiIiIiIiIiIiIiIiKqVWxGICIiIiIiIiIiIiIiIiIiolrFZgQiIiIiIiIiIiIiIiIiIiKqVWxGICIiIiIiIiIiIiIiIiIiolrFZoRaIAgCMjMzIQiCqkshIiIiIiIiIiIiIiIiIiJSOTYj1IKsrCwYGRkhKytL1aUQERERERERERERERERERGpHJsRiIiIiIiIiIiIiIiIiIiIqFaxGYGIiIiIiIiIiIiIiIiIiIhqlYaqCyAiIiIiepn8EvoLCooL8J7ze6ivWx8AcC35Gk7cO4Em8ibo7dBbzN0Utgk5hTkY3nI4zOqZAQBupN7AsbvHYG1kDa/mXmLutivbkJGfgUGOg2BlYAUAiEyLxOHIw7A0sMRgx8Fi7h/X/kBqbiq8mnvB2sgaABCdEY2AWwEwq2eG4S2Hi7l7IvYgISsBvR16o4m8CQAgPiseeyP2or5ufbzn/J6Yu//mfsQqYtHDvgeamzYHACTnJOPP639CX0sfY1zGiLmBtwNxN/0uuth2QasGrQAAaXlp+P3q79DR0MEHbT8Qc4/cOYJbD27hTes34WLhAgDIKsjClstboK6mjo/bfyzmBt0LwvXk6+jYqCPaW7UHAOQV5WHjpY0AgE86fAKZTAYAOBVzCpcTL6OtZVu4NXYDABQri/HTxZ8AABPaTYCWuhYA4GzcWYTEh8DZ3BkeNh7i8dacXwMAGOc6DnqaegCAkPgQnI07C0czR3S36y7mrg9Zj3aW7dDOqh2IiIiIiIiIiIjo2XBmBCIiIiKix3xx5Av4BPogOSdZjJ2MPgmfQB/8EvqLJHfuP3PhE+iD2MxYMXb+/nn4BPrgx4s/SnK/+fcb+AT64G76XTEWlhgGn0AfrDi7QpK7JHgJfAJ9EJESIcbCU8LhE+iDpcFLJbnLziyDT6APLiddFmORaZHwCfTBgn8XSHLXXFgDn0AfXIi/IMZiFDHwCfTBvOPzJLk/h/4Mn0AfBMcEi7Gk7CT4BPpg5tGZktzNlzfDJ9AH/0T9I8bS89PhE+iDqYenSnJ/v/o7fAJ9cCjykBjLKcqBT6APfAJ9IEAQ43si9sAn0Af7b+4XY0UlRWJuYUmhGA+4FQCfQB/sCt8lOZ5voC98An2QVZAlxv6+8zd8An2w/ep2MSYIAqYenoqum7sisyATRERERERERERE9Gw4MwIRERER0WPeafEOcgpzYKBtIMaayJtgmNMwdGzYUZLbv1l/pOWlwVjHWIzZGNlgmNMwcYaAMr2b9EYb8zYw1TMVY40MG2GY0zA4mjpKcnva94SD3AHm+uZizELfAsOchsG+vr0kt5ttN1gZWKGhQUMxZqpnimFOwyQxAPCw9oCRtpE42wIA1Nepj2FOw2CiayLJ7dy4MzTUNCTHM9A2wDCnYTDQMpDkdmzYEYUlhWhm0kyM6WnqYZjTMGiqa0py21m1w7B86TlrqWthmNMw/Fcb8zYY5jQMzubOYkxdTV3M1VB79L8zrRq0wjCnYXC1cJWMMazlMAiCAG0NbTHWwrQFhjkNE2dmKJNblIvBjoORnpcOQ23DcvUQEREREREREb0sSkpKUFRUpOoy6BWlpaUFNbVnn9dAJgiC8OQ0qkpmZiaMjIygUChgaMg/WhIRERHVJblFubiUcAlvWr+p6lJIxUqUJVBXU1d1GURERERERERElRIEAYmJicjIyFB1KfQKU1NTg52dHbS0tJ5pHM6MQERERESvta+Of4Xvz3yP+V3mw6+rn6rLIRViIwIRERERERERvezKGhEaNGgAPT09yGQyVZdErxilUon4+HgkJCTA2tr6mV5jbEYgIiIioteWIAjIKcwBAHSw6qDiauhlkZGfgeScZMmyE0REREREREREqlZSUiI2IpiYmDx5B6KnZGZmhvj4eBQXF0NTU/PJO1Ti2Rd6ICIiIiKqo2QyGdb2X4trk66hX7N+qi6HXgK7wnfB/DtzfHLgE1WXQkREREREREQkUVRUBADQ09NTcSX0qitbnqGkpOSZxmEzAhERERG99lo2aKnqEugl0c6yHQpLCpGSm4LCkkJVl0NEREREREREVA6XZqDnrbZeY3WuGWHNmjWwtbWFjo4OOnbsiPPnz1eZ/+eff6JFixbQ0dGBs7MzDh48KNk+duxYyGQyyaN3797P8xSIiIiISMVuP7iNTw58goz8DFWXQi8Zu/p2uO17G5c/vgwtdS1Vl0NERERERERERFRn1almhD/++APTpk3D/PnzERoaijZt2sDT0xPJyckV5p8+fRojR47EBx98gEuXLmHgwIEYOHAgrl27Jsnr3bs3EhISxMfvv//+Ik6HiIiIiFRAEAR8FPAR1l5cC5+DPqouh15CDnIHVZdARERERERERFRjSdlJuJx4WXx+M/UmojOiAQBFJUUITQiFIl8BAEjJScGlhEti7u0HtxGVHgUAKFGWIDQhFOl56QCAB7kPEJoQCkEQAEAcg+hJ6lQzwrJlyzBhwgSMGzcOTk5OWLduHfT09LBx48YK83/44Qf07t0bM2bMgKOjIxYsWIC2bdti9erVkjxtbW1YWFiIj/r167+I0yEiIiIiFZDJZJjfZT5cLVyxoNsCVZdDLzGloERBcYGqyyAiIiIiIiIiqlRWQRaC7gUhqyALWy5vQbfN3cRtY/3HYsG/pX//Ss1NRbv17XAq5hQAYOf1nei0oZOYO+nAJMz5Zw4AIKcoB+3Wt8PRu0cBAH/d+gvt1rdDiVCClJwUjNo7CjGKmBd1is9s06ZNMDY2fiHHunnzJiwsLJCVlfVCjvc01q1bBy8vrxdyrDrTjFBYWIiQkBD06NFDjKmpqaFHjx44c+ZMhfucOXNGkg8Anp6e5fKDgoLQoEEDNG/eHJMmTcKDBw+qrKWgoACZmZmSBxERERHVHV1suyBkYgjs6tupuhR6Sf0c8jPsfrDDqvOrVF0KEREREREREVGlbqfdRrfN3XA77TZGtxmN42OOi9s2vbMJ8zzmAQBM9UwRMjEE7tbuAIDhLYfj7Adnxdy1/dZiYfeFAIB6mvUQMjEEPexL77N6NfNCyMQQqMvUkVmQiSJlEYpKiqpd49ixYzFw4MBnPdWn9u677+LWrVsv5FizZ8+Gr68vDAwMAJQ2J3Tr1g3m5ubQ0dGBvb095s6di6KiR98/Pz8/uLi4lBvr3r17kMlkCAsLE2OTJ09Gu3btoK2tXeE++fn5GDt2LJydnaGhoVHh9338+PEIDQ3FyZMnn/V0n0jjuR+hlqSmpqKkpATm5uaSuLm5OW7cuFHhPomJiRXmJyYmis979+6NwYMHw87ODnfu3MGcOXPQp08fnDlzBurq6hWOu2jRInz99dfPeEZERERE9KLlFOagnlY9AKUzJBBVplhZjBhFDPbf3I/pnaeruhwiIiIiIiIiogo5mTnhtu9tNDJsBB0NHZjrP7o32ty0ufi1prom2lq2FZ+b1TODWT0z8XlTk6bi1+pq6pJcEz0TmOiZAACayJsg0DvwuZzL86KrqwtdXd3nfpyYmBgEBARg1apHH27R1NTE6NGj0bZtWxgbG+Py5cuYMGEClEolFi5c+FTHGT9+PM6dO4crV66U21ZSUgJdXV1MnjwZu3fvrnB/LS0tvPfee1i5ciXeeuutp6qhuurMzAjPy4gRIzBgwAA4Oztj4MCBCAgIwIULFxAUFFTpPrNnz4ZCoRAfsbGxL65gIiIiInoqeyP2oumqptgbsVfVpVAdMKzlMOwevhuH3z+s6lKIiIiIiIiIiCqlo6EDB7kDdDR0XsjxBEFAsbIYgiDU2pjXrl1Dnz59oK+vD3Nzc4waNQqpqanidltbW6xYsUKyj4uLC/z8/MTnGRkZ+Oijj8QZCFq1aoWAgAAA5ZdpKJuJ4LfffoOtrS2MjIwwYsQIydIKSqUSixYtgp2dHXR1ddGmTRvs2rWryvPYuXMn2rRpg4YNG4oxe3t7jBs3Dm3atIGNjQ0GDBgAb2/vp56VYOXKlfj0009hb29f4fZ69eph7dq1mDBhAiwsLCodx8vLC/v370deXt5T1VFddaYZwdTUFOrq6khKSpLEk5KSKv1GWlhY1CgfKH1BmJqaIjIystIcbW1tGBoaSh5ERERE9HJbfWE1ErITcDH+oqpLoTrAVM8Ugx0HQ1fz+XfNExERERERERE9rVhFLCYHTkas4sV8ePpS4iVoLtDEpcRLtTJeRkYGunfvDldXV1y8eBGHDh1CUlIShg8fXu0xlEol+vTpg+DgYGzduhXh4eFYvHhxpbPgA8CdO3ewb98+BAQEICAgACdOnMDixYvF7YsWLcKWLVuwbt06XL9+HVOnTsX777+PEydOVDrmyZMn0b59+yprjYyMxKFDh9ClS5dqn9/z0L59exQXF+PcuXPP9Th1ZpkGLS0ttGvXDseOHRPXtlAqlTh27Bh8fHwq3MfNzQ3Hjh3DZ599JsaOHDkCNze3So8TFxeHBw8ewNLSsjbLJyIiIiIVO/DeAaw+vxo+b1T8uyMREREREREREVFdk1WYhaB7Qfi4/ccv5Hg2Rjb49Z1fYWNkUyvjrV69Gq6urpIlCzZu3IjGjRvj1q1baNas2RPHOHr0KM6fP4+IiAgxv7KZA8oolUps2rQJBgYGAIBRo0bh2LFj+Pbbb1FQUICFCxfi6NGj4n1le3t7nDp1Cj/99FOljQTR0dGVNiN07twZoaGhKCgowMSJE/HNN99Itl+9ehX6+vqSWG3OPvFfenp6MDIyQnR09HM7BlCHmhEAYNq0aRgzZgzat2+PN954AytWrEBOTg7GjRsHABg9ejQaNmyIRYsWAQCmTJmCLl264Pvvv0e/fv2wY8cOXLx4EevXrwcAZGdn4+uvv8aQIUNgYWGBO3fu4IsvvoCDgwM8PT1Vdp5EREREVPt0NHQwvfN0VZdBdcxvl3/DlitbsNxzOVo1aKXqcoiIiIiIiIiIJJzMnHBl0pUXdjwTPROMdRlba+NdvnwZx48fL3cjHiidvaA6zQhhYWFo1KhRtXLL2Nraio0IAGBpaYnk5GQApbMX5ObmomfPnpJ9CgsL4erqWumYeXl50NGpeLmMP/74A1lZWbh8+TJmzJiB7777Dl988YW4vXnz5ti/f79kn/v376Nr167VPqea0tXVRW5u7nMbH6hjzQjvvvsuUlJS8NVXXyExMREuLi44dOgQzM3NAQAxMTFQU3u08kTnzp2xfft2zJ07F3PmzEHTpk2xb98+tGpV+kdEdXV1XLlyBZs3b0ZGRgasrKzQq1cvLFiwANra2io5RyIiIiKqPfnF+Thy5wj6N+sPmUym6nKoDtodsRtH7x7FH9f+QKvubEYgIiIiIiIiotdbel46jt49ih72PVBft/4zj5ednQ0vLy8sWbKk3LaymezV1NTKzRJQVFQkfq2rW/NlNjU1NSXPZTIZlEqlWBMAHDhwAA0bNpTkVXUP2dTUFOnp6RVua9y4MQDAyckJJSUlmDhxIj7//HNxKQktLS04ODhI9tHQeL638tPS0mBmZvZcj1GnmhEAwMfHp9JlGYKCgsrFhg0bhmHDhlWYr6uri8OHD9dmeURERET0EllwYgEWnlqIiW0n4ievn1RdDtVBk9pPQseGHTGi1QhVl0JEREREREREVM7VpKvos60PAr0D4Wzu/NyPF5URheG7hiNkYkitNCO0bdsWu3fvhq2tbaU3383MzJCQkCA+z8zMRFRUlPi8devWiIuLq/ayDk/i5OQEbW1txMTEVLokQ0VcXV0RHh7+xDylUomioiIolUqxGeFFu3PnDvLz86uc6aE2PFUzQklJCTZt2oRjx44hOTlZ7BIp888//9RKcUREREREz0JHQweaapro7dBb1aVQHeXp4AlPBy7hRkREREREREQvJ1M9U/Rr2g8J2QliM0J4SjgMtAzQ2Kgx8ovzEZ4SjqbypjDQNkBSdhISsxPRxqINAOBm6k3oaOjAxtgGRSVFuJp8FU3qN4GRjhFSclIQlxkHV8vSG9a3H9yGobYhFLMUqKdZr0Z1KhQKhIWFSWImJib49NNP8fPPP2PkyJH44osvIJfLERkZiR07duCXX36Buro6unfvjk2bNsHLywvGxsb46quvJDfxu3TpAg8PDwwZMgTLli2Dg4MDbty4AZlMht69a/53QQMDA0yfPh1Tp06FUqmEu7s7FAoFgoODYWhoiDFjxlS4n6enJz788EOUlJSI9W3btg2amppwdnaGtrY2Ll68iNmzZ+Pdd98tNztDdURGRiI7OxuJiYnIy8sTv6dOTk7Q0tICAISHh6OwsBBpaWnIysoSc1xcXMRxTp48CXt7ezRp0qTGNdTEUzUjTJkyBZs2bUK/fv3QqlUrTnlLRESE0nXFC0sKMdRpKIx0jAAAESkROB17GrbGtnjb/m0x9/ervyO3KBcDWwyEiZ4JgNJf5P6N/heNDBtJbnz9ef1PZBZkon+z/jDXL12aKCo9Cv9E/QMLfQv0a9ZPzN0bsRdpeWnwdPBEI8NGAIBYRSz+vvM3TPVM8U6Ld8Tcv27+heScZLxt/zZsjW0BAAlZCTh4+yCMdYwxxGmImHso8hDuZ95HF9sucJCXThWVkpOC/Tf3o55WPcknho/ePYrojGi8af0mWpi2AFA6ddeeiD3Q0dCBd2tvMTfoXhDupN1Bx0YdxbXYswuz8ce1P6Cupi5Ze+xUzCncTL2Jdlbt4GLhAgDIK8rD9qvbAQDjXceLv5OcjTuL68nX0caiDdpbtQcAFCuLsTlsMwBgdJvR0FQv/UXvYvxFXE68DCczJ7g1dhOPtyF0AwDgPef3oKtZOs1XWGIYQuJD0Ny0Odyt3cXczWGbUawsxvCWw2GgXbrO2PXk6zgbdxb29e3Rza6bmLvtyjbkF+djsONgsXP4RuoNBMcEw9rIGj2bPFqH7I9rfyC7MBsDmg+AWb3S6bLupN1B0L0gWBlYoU/TPmLu7vDdyMjPQJ+mfWBlYAUAiM6IxtG7R9GgXgN4NfcSc/1v+CM1NxU9m/SEtZE1AOB+5n0cijwEua4cgxwHibkHbx9EQlYCutl1g319ewBAUnYSAm4FwFDbEMNaPpqB6u87fyNWEYu3bN5CM5PSDuQHuQ+w78Y+6GnqYaTzSDH3n6h/EJUeBbfGbnAycwIAKPIV2BW+C5rqmhjdZrSY+2/0v7j94DY6NOyA1uatAQA5hTnYcW0HZDIZxruOF3NPx55GREoEXC1d0dayLeZ1mYfRbUbDxtgGRERERERERERErxpLA0tYGlhivP94xE2LAwCM2DUCXW27YmWflYjLjEO79e1wfMxxdLXtii2Xt2DRqUVIm5kGABjrPxYtzVrilwG/IDU3Fe3Wt0PAyAD0a9YPO6/vxLS/p6FgbgEAYNKBSTCrZ4bfh/xe4zqDgoLKfQr/gw8+wC+//ILg4GDMnDkTvXr1QkFBAWxsbNC7d2+oqakBAGbPno2oqCj0798fRkZGWLBggWRmBADYvXs3pk+fjpEjRyInJwcODg5YvHhxjesss2DBApiZmWHRokW4e/cujI2N0bZtW8yZM6fSffr06QMNDQ0cPXoUnp6lf+PX0NDAkiVLcOvWLQiCABsbG/j4+GDq1KlPVdeHH36IEydOiM/LvqdRUVGwtbUFAPTt2xfR0dHlch5f6uL333/HhAkTnqqGGhGegomJiXDgwIGn2fWVpFAoBACCQqFQdSlERKRCxouNBfhBuJl6U4ytOb9GgB+EoTuHSnKtvrcS4AchND5UjG26tEmAH4Q+W/tIcpuubCrAD8Kp6FNibOe1nQL8IHj86iHJdVnnIsAPwuHIw2LswK0DAvwgtF/fXpLbeUNnAX4Q9oTvEWNBUUEC/CA4rnaU5Pbc0lOAH4Stl7eKsfNx5wX4QbBebi3JHbhjoAA/CD9d/EmMXU++LsAPgulSU0nue7vfE+AHYdnpZWLsXvo9AX4QdP9PV5I7Yf8EAX4Q/u/E/4mx5OxkAX4Q4AdBqVSK8c8CPxPgB2H20dliLKcwR8zNLsgW43OOzhHgB2HywcmS45XlJmUnibFv//1WgB+ED/0/lOTqfasnwA/C3bS7YmzFmRUC/CCM3DVSkmu21EyAH4RrSdfE2PqL6wX4QRjw+wBJru0KWwF+EM7FnRNj265sE+AHoceWHpJcpzVOAvwg/HP3HzG2L2KfAD8Ibr+4SXI7rO8gwA9CwM0AMfZ35N8C/CC0Xttaktt1U1cBfhD+uPaHGAuOCRbgB8FhpYMkt++2vgL8IGwM3SjGwhLCBPhBsPzOUpI7bOcwAX4QVp9bLcZupd4S4AfBcJGhJHfsvrEC/CAsObVEjN3PvC/AD4LGNxqS3E8CPhHgB+Grf74SiGpLibJE+Pfev8LMIzOFEmWJqsshIiIiIiIiotdUXl6eEB4eLuTl5Uni8ZnxwpXEK+Lz68nXhZiMmNJ9ivKEkPgQITM/UxAEQUjMShTCEsLE3BspN4R76fcEQRCEwuJCISQ+RMjIyxAEofTvr4//DftW6i3J30CpvNWrVwu9evVSdRlVunbtmtCgQQMhIyOj0pzKXms19VQzI2hpacHBwaGW2yKIiIjqFkEQJLMD9XbojZzCHMn0VLbGtvBq5oX2lu0l+/a074m0vDQYahuKsUaGjeDVzAvtLNtJcrvbdUcL0xaS9bcsDSzh1cwLLc1aSnK72HRBY8PGMNMzE2MN6jWAVzMvcUaDMu6N3WGiawILfQsxZqJnAq9mXmhs2FiS26lRJ+ho6KChYUMxZqxjDK9mXpJjAUAHqw4oUZbAxujRJ9H1tfTh1cxLcr4A0NaiLbIKssRP3AOArqYuvJp5QUtdS5Lb2rw1vJp5oalJUzGmpa4Fr2Ze+K+WDVrCq5mXODMDAKjL1MVcdbVHU3i1MG0Br2Ze4swMZcpyH6+jqbwpvJp5iVOYlenbtC8Kigugp6knxuzq28GrmRfaWraV5Ho6eEKRrxBnUAAAayNreDXzQgerDpLct+3eRnJOMox1jMVYQ4OGpTWYS2voatMVTeo3EWfaAAALfYty3wcAeMv6LVjoW6BBvQZizKyeGbyaeYmzZJTp3KgzDLQMxNkWAKC+Tn14NfOCpb6lJLdjw45Ql6mjsdGj14+htiG8mnlBriuX5LazbIf84nzJ8epp1YNXMy/J9xEAXMxd4NXMC03qP5oyTFtdG17NvCQ/SwBwNneGVzMvNDdtDqLaUlhSiP6/9xdnqXl8ZhQiIiIiIiIiIlUrmx2hTNlMpEDpMqaP/43SXN9cnIEXgOTvaJrqmpJcs3pm4oytACR/m6WKffTRR8jIyEBWVhYMDAyevIMKJCQkYMuWLTAyMnrux5IJwmPzMVTT999/j7t372L16tVcogFAZmYmjIyMoFAoYGho+OQdiIjolfDd6e9wLOoY5neZj06NOqm6HCIieo4mB05GZkEmpneeXq55iYiIiIiIiIjoRcjPz0dUVBTs7Oygo6Oj6nLoFVZbr7Vqz4wwePBgyfN//vkHgYGBaNmyJTQ1NSXb9uzZ89QFERER1QUlyhKsPLcSsZmxGO40nM0IRESvuJV9Vqq6BCIiIiIiIiIiojql2s0I/52mYdCgQbVeDBERUV2hrqaOoLFB+OniT3jP+T1Vl0NERERERERERERERPRSqdEyDbm5udDT03ty4muGyzQQEREREb0eErIScD3lOnrY91B1KURERERERET0muEyDfSi1NZrTa0myaampujfvz/Wr1+PpKSkpz4oERFRXVaDPj4iInqFXEq4hIbLGmLYn8NQWFKo6nKIiIiIiIiIiIheajVqRoiIiICnpyd27twJGxsbdOzYEd9++y2uXr36vOojIiJ66fTd3hdTD01Fck6yqkshIqIXqLV5a1gaWMLR1BEJWQmqLoeIiIiIiIiIiOilVqNlGh6nUChw8OBB+Pv749ChQ5DL5RgwYAAGDBiALl26QF1dvbZrfWlxmQYiotfHxfiL6PBzB2iqaeLeZ/dgZWCl6pKIiOgFyirIgoG2garLICIiIiIiIqLXEJdpoBeltl5rGk+7o5GREUaOHImRI0eiqKgIQUFB2L9/P8aNG4esrCysWrUK3t7eT10YERHRy6idZTsc8j6E8JRwNiIQEb2G2IhARERERERERC+bGEUMUnNTK9xmomsCG2Mb5BXlISI1As1MmkFfSx9xmXFPnP3XztgO9XXrIyk7CQnZCXCxcAEAJOcko0G9BrV9GvQKeuqZEapy6dIlFBcXo0OHDrU99EuJMyMQEREREb1eikqKkJ6fzv/xJiIiIiIiIqIXpqJPq8coYuC4xhG5RbkV7vOB6wf4ZcAvuJ58Ha3WtsLp8afh1tgN0w5Pw/Kzy6s83s6hOzGs5TAsO7MMfkF+yJydiZScFHTd3BWB3oGwNrKu7VN8LjZt2oTPPvsMGRkZz/1YN2/eRJcuXXD79m0YGLzYD7WkpqbCyckJoaGhaNSo0TONVVszI9SoGcHGxgbdu3dHt27d0K1bNzRu3PipD/wqYTMCEdHrQRAEyGQyVZdBREQqtjdiLyb8NQFdbbti1/Bdqi6HiIiIiIiIiF4TFd0gDk0IRbv17bB10FY4mjmW26e2Z0YoO17IxBC0tWxbrbrHjh2LjIwM7Nu3r8bnXBvy8vKQlZWFBg2e/4dKBg8ejHbt2uHLL78EAAQFBaFbt27idlNTU3To0AFLliyBs7OzGP/333/xv//9DyEhIUhISMDevXsxcOBAcXtRURHmzp2LgwcP4u7duzAyMkKPHj2wePFiWFk9msV5+vTpSE9Px4YNG57pPFSyTMO4ceMQFBSEHTt2oLCwEHZ2dujWrZvYoGBhYfHUhRAREb3MErIS0GtrL/h08MGEdhOgJlNTdUlERKQitsa2eJD3ABfiL6BYWQwNtade/Y6IiIiIiIiI6Jk4yB1wyPsQ3Bq7wVC78g9N62rqSpoHGhk2QiPD6n163lzfHOb65s9cq6ro6upCV1f3uR8nJiYGAQEBWLVqVbltN2/ehKGhIeLj4zFjxgz069cPkZGR0NLSAgDk5OSgTZs2GD9+PAYPHlxu/9zcXISGhmLevHlo06YN0tPTMWXKFAwYMAAXL14U88aNG4d27drhf//7H+Ry+fM72Wqq0Z0UPz8/BAUFISMjA0eOHIG3tzdu3bqFcePGoWHDhnB0dMSnn376vGolIiJSmR8v/Ihrydfw25Xf2IhARPSac7FwQdCYINyZfIeNCERERERERESkUobahvB08KyyEeFld+3aNfTp0wf6+vowNzfHqFGjkJqaKm63tbXFihUrJPu4uLjAz89PfJ6RkYGPPvoI5ubm0NHRQatWrRAQEACgdJkGY2NjMdfPzw8uLi747bffYGtrCyMjI4wYMQJZWVlijlKpxKJFi2BnZwddXV20adMGu3ZVPUPmzp070aZNGzRs2LDctgYNGsDCwgJt27bFZ599htjYWNy4cUPc3qdPH/zf//0fBg0aVOHYRkZGOHLkCIYPH47mzZujU6dOWL16NUJCQhATEyPmtWzZElZWVti7d2+Vtb4oT3U3RVtbG927d8fXX3+NEydOICEhAbNnz0Z8fDzWrVtX2zUSERGp3Ez3mVjhuQJfd/1a1aUQEZGKyWQydLHtwkYEIiIiIiIiIlK5hKwE+AX5ISErQdWlPJWMjAx0794drq6uuHjxIg4dOoSkpCQMHz682mMolUr06dMHwcHB2Lp1K8LDw7F48WKoq6tXus+dO3ewb98+BAQEICAgACdOnMDixYvF7YsWLcKWLVuwbt06XL9+HVOnTsX777+PEydOVDrmyZMn0b59+yprVSgU2LFjBwCIsyI8LYVCAZlMJmm0AIA33ngDJ0+efKaxa8tT/fWssLAQZ86cQVBQEIKCgnDu3Dk0bNgQQ4cORZcuXWq7RiIiIpXT19LHlE5TVF0GERG9hARBgEwmU3UZRERERERERPQaSs1NxS+hv2CI4xBYGliqupwaW716NVxdXbFw4UIxtnHjRjRu3Bi3bt1Cs2bNnjjG0aNHcf78eURERIj59vb2Ve6jVCqxadMmGBgYAABGjRqFY8eO4dtvv0VBQQEWLlyIo0ePws3NTRzv1KlT+Omnnyq9Hx4dHV1pM0KjRqVLYuTk5AAABgwYgBYtWjzx3CqTn5+PmTNnYuTIkTA0lM6KYWVlhUuXLj312LWpRs0I33zzjdh8YGNjAw8PD0ycOBHbtm2DlZXV86qRiIiIiIjopfP71d/x/ZnvMbHdRExsNxEAkF+cj7yiPGipa6GeVj0xNyM/A4IgwFDbEOpqpV35BcUFyC3Khaa6JvS19MVcRb4CSkEJA20DcfaFslwNNQ0YaBuUy9XX0oemuiYAoLCkEDmFOVBXU5dM0ZhZkIkSZYkkt6ikCNmF2eVyswqyUKwsRj2tetBSL+3SL1YWI6sgC2oyNRjpGJXL1dPUg7aGtiRXJpPBWMdYzM0uzEZRSRF0NXWho6EDAChRliCzILNcbk5hDgpLCiW5SkEJRb4CAFBft76Ym1uUi4LiAuho6EBXU7dcrrGOsdgwUparraENPU09AKUNJRn5GeVy84rykF+cL8kFgPS8dACAkY6RuHxTZT/7stzHf/Zluf/92Ze9Tir62VfndVL2s//v66Sin/2TXieP/+zLXieV/eyr8zop+9k//jqp7Gdf0euEiIiIiIiIKuZs7oy4aXGqLuOpXb58GcePH4e+vn65bXfu3KlWM0JYWBgaNWpUrdwytra2YiMCAFhaWiI5ORkAEBkZidzcXPTs2VOyT2FhIVxdXSsdMy8vDzo6Ff9/7MmTJ6Gnp4ezZ89i4cKFz7TaQFFREYYPHw5BELB27dpy23V1dZGbm/vU49emGi3T4Ofnh7t37+L777/HyZMnsW7dOowcOZKNCERE9MraHLYZ/bf3x5nYM6ouhYiIXjLRimiEJISgvs6jm+JrL6yFfKkcHwV8JMl1WOkA+VI5bj64KcY2X94M+VI5Ru0dJcltva415EvlCEsME2N/hv8J+VI5huwcIsl12+AG+VI5TseeFmMHbh2AfKkcfbf1leR239wd8qVyHLl7RIwdv3cc8qVydNkk7ejv/3t/yJfKsf/mfjF2Nu4s5Evl6PBzB0nuu7vehXypHDuu7RBjV5OuQr5UjlY/tpLkjt03FvKlcmy8tFGM3Um/A/lSOex+sJPkfnLwE8iXyrH6/GoxFp8VD/lSOcy/M5fkTv97OuRL5VgavFSMKfIVkC+VQ75UjhKhRIx/dfwryJfK4RfkJ8aKlEVibmZBphhffGox5Evl+OLIF5Ljmf3PDPKlciRmJ4qxledWQr5UDp9AH0mu7Q+2kC+VIyojSoz9EvoL5EvlGO8/XpLrtMYJ8qVyXE++Lsa2X90O+VI5RuwaIcltt74d5EvlOH//vBjbd2Mf5EvlGLBjgCT3rV/fgnypHCeiH00l+fedvyFfKkePLT0kub239oZ8qRyBtwPF2KmYU5AvlePNjW9Kcgf9MQjypXLsCn+0ZmZoQijkS+Vw+clFkuu9xxvypXL8duU3MRaRGgH5UjmarZL+sWjiXxMhXyrHTxd/EmOpuamov6Q+Wv3YCiXKRz/P07GnsTt8N+6m3wURERERERHVPdnZ2fDy8kJYWJjkcfv2bXh4eAAA1NTUIAiCZL+ioiLxa11d3RofV1NTU/JcJpNBqVSKNQHAgQMHJDWFh4dj165d5cYqY2pqivT09Aq32dnZoXnz5hgzZgw+/PBDvPvuuzWuGXjUiBAdHY0jR46UmxUBANLS0mBmZvZU49e2GjUjBAYGYsSIEdi0aROsrKzg7OwMX19f7Nq1CykpKc+rRiIiIpUQBAHfn/keB24fwMmYl2N9JSIienmMbjMaVgZWeKPhG6ouheiVF58Vj4z8DCTnJIszTADAuovrMPTPofjz+p9iLDU3FW3WtUGfbX0kYyw4sQDuG93x+9XfxVhyTjLcN7qj2+ZuktzvTn8H943u+PXSr2IssyAT7hvd4b7RHcXKYjG++vxquG90x9oLjz6NUlhSKObmFOaI8V9Cf4H7RncsO7NMcrwum7rAfaM7UnNTxdjWK1vhvtEdi04ukuT2+q0X3De6Iy7z0SefdofvhvtGd3x1/CtJ7js73oH7RndEpkWKsYBbAXDf6F6uyebdXe/CfaM7riVfE2PH7h6D+0Z3TA6cLMkds28M3De648L9C2IsOCYY7hvdMfGviZLcj/76CO4b3XEq5pQYC4kPgftG93LNWJ8d+gzuG91x5M6jpqnrydfhvtEdw/+Urhc788hMuG90x183/xJjd9Pvwn2jO7x+95Lk+gX5wX2ju+R1cj/zPtw3uqPnb9JPOi0+tRjuG93x2+VHjTNpeWlw3+iOt359S5K74uwKuG90x/qQ9WIstyhX/NkXFBeI8XUX18F9oztWnVslxpSCUswtm50FKG2Idt/oLmmwAkqbytw3uiMpO0mM7bi2A+4b3fHNiW8kuf2294P7Rnfcy7gnxvxv+MN9ozvmHJsjyR38x2C4b3THjdQbYuxw5GG4b3THtMPTJLnee7zhvtFd0jB34t4JuG90x6SASZLcD/w/gPtGd5yNOyvGzsWdg/tG93LNWJ8e+BTuG91xPOq4GLuSdAXuG90xcvdISe7nhz+H+0Z3HIo8JMZupt6E+0Z3DPpjkCR37j9z4b7RHXsj9oqxGEUM3De6q/QaQURERFSbriZdRaNljXA16aqqS3kqbdu2xfXr12FrawsHBwfJo1690pkHzczMkJCQIO6TmZmJqKhHTf+tW7dGXFwcbt26VSs1OTk5QVtbGzExMeVqaty4caX7ubq6Ijw8/Injf/rpp7h27Rr27t37xNzHlTUi3L59G0ePHoWJiUmFedeuXatyBocXqUbLNHh6esLT0xMAkJWVhZMnT+LEiRNYunQpvL294eDggG7dumH16tVPGImIiOjlJ5PJsOfdPfjh7A/4qN1HT96BiIheK1YGVoibKp0GcUqnKfDt6AsZZJJ44vTST9Cryx7dRP2w7YcY7zq+XO6dyXfK5b7n/B5GtBpRLvfKpCvlct9p8Q6K5hXhv85+WHozqGxZAQDoYd+jwtxjo4+Vy32z8ZsV5v418i8IECS5LhYuFeb+MfSPcrlN5U0rzN04YCM2DNggyW1o0LDC3FV9VmFln5WSXGMdYzH38e/Pkh5LsLjHYsn3UlNNs8Lcr7p8hXld5pX7vufPzS+XO73zdExzm1Yu98EXD8rlftLhE3zc/uNyuTFTY8rljnEZg1FtRpXLveFzo1zuUKehKJpXVC43ZGIIAOnPs2/TvhV+L/8d92+53C62XSrMPfz+4XI/zw5WHSrM3TN8T7nclmYtK8z9bdBv2DJoiyS3uUlzXP/kumTmCgBwkDugc+POaG7aXIzdz7yPK0lXEKuIleTeTruN4NhgDGwxUIwVlhQiODZYXGaizJ20OwiODUavJr3EWLGyGMGxweXqvZdxD8GxwXiz8aOZIwRBEHMfn5kjRhGD4NhguFi4SMYIjglGiVCCopJH34/7mfcRHBuMZibSmSPOxp1FVmEW8ovzxVhCdgKCY4PR0LChJPf8/fNIzE5EbtGj6TmTc5IRHBssWRoDKG0QuJN+B1kFWWIsNTe1wu/PpYRLuJp8FYoChRhLz09HcGwwipTSn+mV5Cs4G3cWaXlpYkxRoEBwbLDkBjwAXEu+huDYYElTRnZhNoJjg2FnLJ09JSI1AsGxwUjKeXRjPrcoF8GxwWhQr4Ek9+aDmwiODcbwlo8aGgpKChAcG4x6mvUkuZFpkQiODUa/pv3EWFFJEYJjg8u9t+6m30VwbDC62nYVY0pBKf7slYJSjEdnRCM4NrhcA1tZ7uM3r2MzYxEcG4yWZi0luWfiziC/OB8FJY+aHOKz4hEcGwxbY1tJ7rm4c3iQ9wB5RXliLDE7scLvz8X4i4jNjEV2YbYYS8lNKf3+aEm/P6EJobiRekPyXnyQ96DC98blpMsISQgRl6sBSpejCY4NlrwmAeBq8lUExwbjQd4DMZZZkFn6HsiVvgfCU8MRHBuM5JxkMZZTlFP6HjCQvgdupN5AcGwwvJ29xVheUR6CY4MlMxsBL/YakVeUB99AX8zoPENy/SIiIiJ6GkXKItzPuo9z98+V+338cdZG1jDVM0VqbipiFDFoa9kWQGljZ05RTqX7AUCrBq2gpa6Fu+l3UU+zHhSzFOV+l34ShUKBsLAwSczExASffvopfv75Z4wcORJffPEF5HI5IiMjsWPHDvzyyy9QV1dH9+7dsWnTJnh5ecHY2BhfffUV1NUf/f9wly5d4OHhgSFDhmDZsmVwcHDAjRs3IJPJ0Lt37xrVCQAGBgaYPn06pk6dCqVSCXd3dygUCgQHB8PQ0BBjxoypcD9PT098+OGHKCkpkdT3X3p6epgwYQLmz5+PgQMHQiaTITs7G5GRjxrJo6KiEBYWBrlcDmtraxQVFWHo0KEIDQ1FQEAASkpKkJhY+vcmuVwOLa3S31lzc3MREhKChQsX1vi8n4caNSM8zsDAAH379oWnpyfOnz+P/fv348cff8TatWvZjEBERK8MB7kDVvVd9eREIiJ6Lclk0htTajI1yQ3UMhpq5f/Xq67lymQyaMjKxx//lPrrkAu8vD+jF537Ir/v2hracDJzKhf/qstX+KqLdDYAu/p2OOR9CIUlhZL45I6TMbDFQLRq8Gj5EBNdE+wevrvc+U1sNxE9m/SEo6mjGNPX0sfu4bsBSJs1xrQZg86NO0uaBjTUNMRcXY1H04WOaDUCLhYusK9vLznen8P+hABB0iAwsMVANDVpChsjG0nu1sFbUawshoW+hRjr49AHu4fvLncjdsOADcgvzpeM0d2uO3YP3y3ZHwDW9F2DnKIcyXm8af0mdg/fDTM96fSeyzyXIbMgE63NW4uxdpbtsHv47nI3eBe9vQhpeWnoYPVoiZdWDVph9/DdMNSWTic6v8t8fNLhE0luU5Om2D18N/Q09SS5s9xnYazLWLhaPPq0T2PDxtg9fDe01bUluVM7TcUwp2GSes3rmWP38N2Shh6gtFmob9O+kkYAIx0j8ef5uA9cP0BX265obvLoZrKOho6Y+/gNbO/W3ujQsAMc5A5iTAaZmGug9Wit2qFOQ+Fk5lSuweD3Ib9DKShhqmcqxryaecHW2BaNDaWfzto0cBMKSwolDSq9mvTC7uG7YWUgXW71p/4/Ia84D03qNxFjHjYe2D18d7nGhZW9VyKrMEvyfuzYsCN2D98NE13pp7KW9lyKjPwMuFo++hm5WLhg9/Dd5ZphFnRbgAd5D9CxYUcx1sK0BXYP3w19LenawXPfmosJbSegnWU7MWZnbIfdw3dDR0O6Pu/0ztPxnvN7kgYgKwMr7B6+G5pq0ml5X+Q1YsXZFdhwaQOO3zuOWz63Kv3vDREREVF1WOpbAgAm/DWhyryfvX7Gh20/xL4b+zDhrwkQ5pcuezDWf6xkNquKxE6NRSPDRph5dCYyCzJx+P3DNa4zKCio3Kf1P/jgA/zyyy8IDg7GzJkz0atXLxQUFMDGxga9e/eGmlrp71WzZ89GVFQU+vfvDyMjIyxYsEAyMwIA7N69G9OnT8fIkSORk5MDBwcHLF68uMZ1llmwYAHMzMywaNEi3L17F8bGxmjbti3mzJlT6T59+vSBhoYGjh49Kn7AvzI+Pj5YtmwZ/vzzTwwfPhwXL15Et26PZuSaNq10lrIxY8Zg06ZNuH//PvbvL11O08XFRTLW8ePH0bVrVwCAv78/rK2t8dZb0pndVEUm/HeBjSdQKpW4ePEijh8/jqCgIAQHByMnJweNGjVCt27d0K1bt0q7QV5VmZmZMDIygkKhqHBdDiIiIiIiIiIiIiIAiEiJwBdHv8C7Ld/F+63fF+NFJUXQVNesYk8iIiJ63eXn5yMqKgp2dnbQ0XnUiJmQlYCE7IQq9qy9mRFKlCVoatL02U/mFbVmzRrs378fhw/XvGGjNnTq1AmTJ0/Ge++990zjVPZaq6kazYzQp08fnD59GllZWbCyskK3bt2wfPlydOvWDfb29k8egIiIqI4YvXc0GtRrgOmdp5f71BgRERERERHR03I0cyxd5uixz4gdvXsUE/+aiP/1/B+GOA1RYXVERERUF1kaWMLSwLJauaZ6ppLZtmqybNR/Z3mj8j766CNkZGQgKysLBgYGT96hFqWmpmLw4MEYOXLkCz1uVWrUjGBsbIz//e9/6NatG5o2ZccLERG9miLTIrH1ylYIEPCB6wdsRiAiIiIiIqJa9/hyT9+f+R5RGVH4N/pfNiMQERER1WEaGhr48ssvVXJsU1NTfPHFFyo5dmVq1Izw+++/P686iIiIXhpN6jfBgfcO4GzcWTiaOT55ByIiIiIiIqJnsGvYLiw/uxyT2k8SY0nZScgrzoOtsa3qCiMiIiIiegZqNd1BqVRi48aN6N+/P1q1agVnZ2cMGDAAW7ZskUwtRkREVFfJZDL0adoHX3f7WtWlEBERERER0WugnlY9zPWYCxM9EzE2+9hstFjdAiHxIWIsNCEUvgd9sfLcSsn+i04ugu9BX9xIvSHGriVfg+9BX3x3+jtJ7venv4fvQV9cTboqxm49uAXfg75YeHKhJHf1+dXwPeiLi/EXxdi9jHvwPegLvyA/Se5PF3+C70FfnI49Lcbis+Lhe9AXc47NkeRuCtsE34O+CLoXJMZSc1Phe9AXnx/+XJK7/ep2+B70xd93/hZjmQWZ8D3oi8mBkyW5u8J3wfegLwJuBYixguIC+B70he9BXxSWFIrx/Tf3w/egL/ZE7BFjSkEp5mYXZovxQ5GH4HvQFzuu7ZAcb9rhafA96Iu0vDQx9k/UP/A96IvNYZslubOOzoLvQV8kZieKsVMxp+B70Be/hP4iyf3q+FfwPeiLGEWMGLtw/wJ8D/pizfk1ktz/+/f/4HvQF5FpkWIsLDEMvgd9sfzMcknu0uCl8D3oi/CUcDEWkRIB34O+WHJqiSR3xdkV8D3oi0sJl8TYnbQ78D3oiwUnFkhyf7zwI3wP+uL8/fNiLFYRC9+Dvpj3zzxJ7obQDfA96IuT0SfFWFJ2EnwP+mLmkZmS3C2Xt8D3oC+O3T0mxtLz0uF70BdTD02V5P5x7Q/4HvRF4O1AMZZTmCP+PEuUJWJ8b8Re+B70hf8NfzFWVFIk5uYV5YnxA7cOwPegL/68/qfkeFMCp8D3oC8U+QoxduTOEfge9MW2K9skuTP+ngHfg75IyUkRYyfunYDvQV9svLRRkvvlsS/he9AX9zPvi7EzsWfge9AX6y6uk+R+HfQ1fA/6Iio9Soy96GtEel46lIISRERElalRM4IgCPDy8sKHH36I+/fvw9nZGS1btkR0dDTGjh2LQYMGPa86iYiIiIiIiIiIiF4LxcpixGbGoqCkQHID/faD21h9YTX23dgnyf/92u9YfWE14jLjxNi9jHtYfWE1/gyX3kTdFbELqy+sRlTGoxuYcZlxWH1hNbZf3S7J3XdjH1ZfWI3bD26LsaTsJKy+sBpbLm+R5B64fQCrL6yW3OhOy0vD6gurseHSBknu4TuHsfrCalxJ+n/27ju+pvOPA/jnZu+9SST2ColN7FmEUhRVYmvtVUKbSrV2lVY0ojVbqdGqFXuLGSO2CEJEZMreuff8/ri/nDh1g0u4wef9euXF/Z7vfc5z85z7iJzvfZ4rYiw9Lx0BYQEIuhAkyT0cdRgBYQGSooycghwEhAUg4FyAJPf4g+MICAvAmZgzYqxAUaDMDQuQ3JA+/fA0AsICEBodKmmjKDe3MFeMnY89j4CwAByJOiLJDTwfiICwAEnhQnhcOALCAnDg3gFJ7u8Xf0dAWABSclLE2PWE6wgIC8DuyN2S3LXhaxEQFoCErAQxFpEcgYCwAOy4vUOSu+HqBgSEBSA2I1aM3Uu5h4CwAPxz8x9J7ubrmxEQFoAHqQ/EWHRaNALCArDp+iZJ7tabWxEQFoC7KXfF2OPMxwgIC8CfV/+U5O68vRMBYQGSG92J2YkICAvAmvA1ktw9d/YgICwA1xKuibHU3FQEhAXgt4u/SXIP3juIgLAAXIorLojIKshCQFgAfj3/qyT36P2jCAgLQFhsmBjLk+eJ4ymg+IOUJx+eREBYgKRwRiEoxNwCRYEYP/voLALCAnDswTHJ+ZaHLUdAWACyC7LF2MXHFxEQFoBDUYckuUEXghAQFoC0vOLChasJVxEQFoB9d/dJcleHr0ZAWACSc5LF2M2kmwgIC5AU2QDAH1f+QEBYgKTA5W3PET7bfFAtoNoz7w0ievP4AXF600rrGlNrm4a1a9fixIkTOHToENq0aSM5dvjwYfTo0QPr16/HoEGDSqVzRP/146kfEZsRi1H1R6GaTTUAwI3EG/j94u9wNnPGpKbFFbG/nP0F91PvY4jHELjbuwNQ7gP/a9ivsDe2x/TmxZW2K86vwO3k2xjgPgD1neoDUP4gvvTMUlgaWMKvVXEF7+pLq3Et4Rr61OyDps5NAQBxmXFYeHIhjHWN8X3b4srgP6/8iYuPL+Ljah+jlWsrAMr/hP1w/Afoaethfvv5Yu7m65txJuYMOlfujA6VOgAAMvMz8e2RbwEAP3X6Sczddmsbjj84jvYV26NLlS4AlFXeMw7NAADMazcP+jr6AIDdkbtx8N5BtKzQEj2q9xDbmLxvMgBgdpvZMNEzAaCs3t1zZw+alG+CT2t9Kub6HvRFvjwf37T8BlaGVgCU1bvbI7ajnmM9fF7nczHX77AfsgqyMM1rGhxMHAAo/3O35cYW1LarjaGeQ8Xc7499j5TcFExsMhEu5i4AgAuxF7Dh6gZUta6KLxp8IeYuCF2A+Kx4jG44GpWtKgMArsZfxZrwNXC1cMX4xsWV8EtOL8HD9IcYXm84atrWBABEJEUg6EIQnEydMLXZVDF3+bnluJtyF4PqDoKHgwcAIColCsvOLYONkQ1mtiiu3P/twm+4mXQT/Wr3Q6NyjQAAj9IfYfHpxTDTN4N/a38xd134OlyOv4xPanyC5i7NAQCJWYmYFzoPBjoGmNuuuIr4r6t/ISw2DN2qdkMbN+Xcmpabhu+OfQctmRZ+7FhcnfzPjX9w8uFJdKrUCZ0qdwKg/A/414eV+w8t6rAI2lraAJQV/kfvH0Vr19boXq07AECukOOrA18BAOa0nQNDXUMAwL47+7Dv7j54OXtJ9qacun8qFIICs1rNgrmBOQDgSNQR7Ly9Ew2dGqK/e38xd+ahmcgtzMWM5jNga2wLQFnhv/XmVtS1rwsfDx8x1/+oP9Lz0jGl6RSUMysHADj36Bw2XtuIGjY1MKL+CDF37om5yk9HNBoHN0s3AMr/2K+/vB6VLCthTKMxYu7rzhGX4y6j5dqWWNxxMQZ7DIaOllr/TBIRERERERGVCh0tHez/fD/2392P8mblxXhN25rwa+kHNws3Sf6o+qMQnxUviVexqgK/ln4oZ1pOkjvEYwg6VOyAqtZVxZirhSv8WvrBzthOkvt5nc/RzLkZatnVEmPlzMrBr6UfLA0sJbl9a/WFh4MHPB08xZitkS38WvrBWNdYkvtJ9U9QxaqK+PsVALAwsIBfSz/oaetJcr2resPJ1AleLl5izFjPGH4t/SCDTJLbqVInWBhYoGWFlmJMV0sXfi2Vv9t7+v/5bd3aQldbF03LN5W0UZRrqGMoxlq4tIBfSz80cGogyZ3RfAYKFYUw0zcTY03KN4FfSz/Usa8jyZ3abCqyC7JhY2Qjxuo51oNfSz/UsJFuETmh8QSk5aXB0cRRjLnbucOvpZ/4e7EiXzb4EknZSeLv1gCguk11+LX0k8QAYHi94eiS0QWVrCqJsYqWFeHX0k9yLgDwqeuD1q6tJX1zNnOGX0s/WBtaS3I/q/0ZGjo1lLxmBxMH+LX0k3xvAKB3zd6oaVtT/B0sAFgbWcOvpZ/kew4AH1f7GK4WrpIxMtUzhV9LP2jLtCW5Xap0ga2xrWTsDXQMxPF8+lppX7E9jHSNxN/ZAYC2lraY+/Q12KpCK6AlJNcqAHzT8hsoBIX4e1UAaObcDH4t/STvAQCY7jUdefI8yXumoVND+LX0Q2272pLcSU0mITM/U/Je9HDwgF9LP8l7FgDGNhqLJzlPNDZHZORlIDQ6FCm5KXA0Lb5+sguyYahjCJlM+v4kotKhq6sLAMjOzoahoeELsoleXX6+siBWW1v7BZkvIKihQ4cOwrx580o8PmfOHKFjx47qNKm2gIAAoUKFCoK+vr7QqFEj4ezZs8/N37x5s1CtWjVBX19fqF27thASEiI5rlAoBD8/P8HBwUEwMDAQ2rVrJ9y+fVutPqWlpQkAhLS0NLVfD6mnbmBdAf4Q9t/ZL8Z2RewS4A+hwcoGktxmq5oJ8Ifw781/xdiRqCMC/CHUXF5Tktt+fXsB/hD+vPynGDsXc06AP4QKSypIcj/+62MB/hBWnl8pxq7FXxPgD8FmoY0k97N/PhPgD2HJ6SViLColSoA/BKM5RpLc4duHC/CH8MOxH8RYQmaCAH8I8Je+VSfsmSDAH8LMgzPFWGZeppibmZcpxmcenCnAH8KEPRMkbRTlJmQmiLEfjv0gwB/C8O3DJblGc4wE+EOISokSY0tOLxHgD+Gzfz6T5NostBHgD+Fa/DUxtvL8SgH+ED7+62NJboUlFQT4QzgXc06M/Xn5TwH+ENqvby/Jrbm8pgB/CEeijoixf2/+K8AfQrNVzSS5DVY2EOAPYVfELjG2/85+Af4Q6gbWleS2WtNKgD+Ezdc2i7HQB6EC/CFU/qWyJLfLhi4C/CGsubRGjF16fEmAPwSnxU6S3N6bewvwhxBwNkCM3U66LcAfgvk8c0muz78+AvwhLAxdKMZi0mIE+EPQma0jyR29a7QAfwizjswSYyk5KeJ45hfmi/Gp+6YK8Icwdd9UMZZfmC/mpuSkiPFZR2YJ8Icwetdoyfl0ZusI8IcQkxYjxhaGLhTgD8HnXx9Jrvk8cwH+EG4nFc+hAWcDBPhD6L25tyTXabGTAH8Ilx5fEmNrLq0R4A+hy4YuktzKv1QW4A8h9EGoGNt8bbMAfwit1rSS5L7uHHH43mEB/hCqB1QX5Aq5QERERERERERERKpl5GUI229tl8Sm7JsiVPmliuR3bkRUumJjY4UbN24ISUlJQnZ2tpCTk8MvfpXqV1ZWlhAZGSncv39fUCgUr3W9qvWRzytXrmDhwoUlHu/cuTN++eWXEo+/rk2bNmHy5MlYsWIFGjdujKVLl6JTp06IiIiAnZ3dM/mnTp1C//79MW/ePHh7eyM4OBg9evTAxYsXUbu2suJw4cKF+OWXX7Bu3Tq4ubnBz88PnTp1wo0bN2BgYPDGXgu9mqGeQ/E44zFcLVzFWCWrSvD18hU/XV1kYJ2BaOnSElWsqogxF3MX+Hr5PlPl3a9WPzRwbCCp8nY0dYSvly8sDCwkub1q9EINmxqo61BXjNkY2cDXyxfGetIq725Vu8HFzEVSNW2ubw5fL1/oautKcjtX6QwbIxs0c24mxgx1DeHr5fvM96F9xfYw1DGUVnlr64q5T7fdskJLKASFpHocgJhb9Ml4QFm96+vli4blGkpypzSdggJ5Acz1zcVYA6cG8PXylXwfAGXldlZ+lqTKu65DXfh6+YqrFBT5ssGXSM1NlVTO1rKrBV8v32eqvId7DkdCVoKkoruKVRX4evmigkUFSa5PXR+0d2svqfJ2tXCFr5ev5FwA8Jn7Z2havimq21QXY+XMysHXy1eyTyMA9KnZB3Xs6sDdzl2M2RnbwdfL95kq7x7VeqCyZWXUc6wnxiwNLeHr5QsDHenc0rVKVziaOKJx+cZizETPBL5evtCSSXfT6VipI8z0zSSV2/ra+uJ4Pp3fxq0NdLR00KJCCzGmJdMSc/W19cV4c5fm8PXyRZPyTSTnm9Zs2jNV3o3LN4avl6/ktQHKyu3cwlxYGhZXeddzrAdfL99nqrzHNhyL9Lx0yXvR3c4dvl6+4ooGRUbVH4Xk7GTJe7y6TXX4evmKKyUUed05ooJFBXzd4mt85v7ZM997IiIiIiIiIiIiKmaiZyKuyAoot7vYenMrolKjJCuRFCoKoS3T5moJRKXEwUG5KnVCQsILMolenZaWFlxcXF577pYJwstv+KCnp4cHDx7A0dFR5fHY2Fi4ubkhLy/vtTpVksaNG6Nhw4YICFDuBaZQKODs7Ixx48bB1/fZG7Z9+/ZFVlYWdu0q3kupSZMm8PDwwIoVKyAIApycnDBlyhRMnapctj0tLQ329vZYu3Yt+vXr91L9Sk9Ph7m5OdLS0mBmZvbiJxAREREREREREREREb1nMvMz8c+Nf/B5nc/F7WSDzgfhx9M/Yl7beehdqzcA4EHqAyw6tQj62vroWrWr+PywR2F4mP4Q7nbuqGKt/BBRVn4W9t3dB22ZNua2myt+KPCPy3/g7KOzaF2htdhuam4qvjn8DQDgkxqfiO1eib+CO0/uoJp1NfFDiYXyQuy4vQMA8G3Lb2Fnovzg1LZb23Dw3kE0cGqAwR6DASj3Th+3ZxwA5bYgRR84u5V0CzcSb8DV3BX1nIo/vLX91nbIBTkmNZkkfmju4N2D2BaxDdVtqmNso7Fi7rT905BdmI12bu3ErXKjUqJwKe4SHE0cxe2iAWBv5F5kF2ZjmOcweDoqtwQ5G3MWf1z5A85mzpLtqf2P+iMpOwktXFqI2+rGpsfizKMzsDa0FreWBoDDUYeRmpuKT2t+ipauyg9B3ky8ieVhy2FlaIXZbWaLuYtOLsKDtAdoVK6RuE1IUnYSjj84DmNdY3F7YQA49fAU4jLj0LlyZ3GcH6U/ErczfnqL4l/DfsWNxBuo61AXlSyV37PM/Ezsv7sfOlo6ksKX87HnEZ0WjRYuLdC3dl8Ayq1DZhyaAZlMhsUdF4tbrqwLX4ew2DDUsKmBGrbKrWfy5fnYdVt57/Djah+L1+rV+KuIfBIJTwdPDKs3DIBy6+PJ+yZDLsgxu/VsWBkpt7LeemMrDt8/DDcLN3EsAODfW/9CEAR0rtxZ/DDo7aTbuJZ4DVWtq0q2nJ52YBqyC7IxtdlU8QN2B+4ewPaI7ShnWk7yAcbdkbuRW5iLtm5txQ/RRqdE43bibdgb22NUg1FibsC5AKTkpODTWp+KH/679PgSdt3eBUtDS8kHaE8/PI3M/Ex4OnqKHzJNzEpEeFw4TPVNMbHJRDF3zaU1iEmPQZcqXcTtdm4n38ama5tgrGcs+bDthdgLeJLzBLXtaosfEk3PTcfZR2dhoG2ACU0niGO08dpGRCZHorVra/HDlY/SH2H1pdXQ09aTXKtX468iLjMOVa2rih9UzSnIQWh0KLRkWpjUZBKM9IxAr09PTw9aWq//oU21ihG0tbURFxcHW1tblcfj4+Ph5OQEuVz+2h37r/z8fBgZGeHvv/9Gjx49xLiPjw9SU1Oxffv2Z57j4uKCyZMnY+LEiWJs1qxZ2LZtGy5fvox79+6hUqVKuHTpEjw8PMScVq1awcPDAz///LPKvuTl5UkKLtLT0+Hs7MxiBCIiIiIiIiIiIiIioqe4LnXFg7QH6Fa1G3b0V978335rO3ps6qF2W9dHXxdX4K0XVA+X4i6hcbnGODP8DADgRsIN1Aqs9bwmVNozYA8+qvwRAKDTH52w/95+VLGqgtvjbgNQFiNozVb/plxAlwCMaTgGAOCzzQfrL6+HnbEd4qfGizla32lBwEvfqgOgXNF2QYcFAICvD32NuaFzYaxrjMyZmWKO/g/6yJfnq9XuZ7U/w4ZeGwAAv134DSN3jYSOTAcF3xaIORbzLZCWl6ZWu21d2+KQzyEAysKHduvbAQCEWcWvu/xP5fEo45Fa7daxq4PLX14GAMSkxcB5qTMAIGFqgliAUfvX2rieeF2tdp3NnBE9KRoAUCAvgN4Pypvmp4edFlcXbrW2FY4/OK5Wu+b65kj1TRUfa8/WhkJQ4M+ef2JAnQEAgE+3fIotN7ao1a6eth7yvim+b2k4xxC5hbmY3Xo2/Fr5AQAm7Z2EpWeXqtUuIB0jm4U2SM5Jxsh6IxHULQgAsOT0EkzeP1ntdp8eI7ef3XA/9X6pzxFUNqi1TYMgCBg8eDD09fVVHn9TKyIAQFJSEuRyOezt7SVxe3t73Lp1S+Vz4uLiVObHxcWJx4tiJeWoMm/ePHz33XdqvwYiIiIiIiIiIiIiIqL3WWZ+JnS1dKGvo7yXNKL+CHxz+BvJlq1WhlYw1zeHlkxLsr1qcnYysguyYWFgAVN9UwDKT6bHZsRCJpNJtp6tZlMN91LuiZ+iBwAjPSNxu2Fnc2cxnpqTioz8DJjpm4mrDwiCgJj0GACAqZ6pmFvVpirOPjqLipYVJa+rqN1yZuXELV7T89KRlpsGYz1jWBlaibkx6TEQBAE2hsXbGVe2rAxzfXO4WUi3nrU3tkdOYQ4cTBzELZgz8zORkpMCQ11DyZbIsRmxkCvkcDJ1EmMVLCrAXN9cEgOUN9STspNgZ2wnjkVOQQ6SspOgp60He5Pie2PxmfHIl+fDxaJ4m2RHU0eY65uL41DEzcINUalRsDayhpGu8hPoeYV5SMhKgI6WjmSr5MSsROQW5kq227U0sIS5vjm0ZdqSditbVUZmfiYsDSxhoq/cNrhQXojHmY8hk8nEVRgA4En2E2QVZEnaNdQ1FMeoaKUDAKhiXQUx6TGSsVcICjxKVxY+lDcrLy5Dn5qbioy8DMkYyWQy2BrZIl+eD2Pd4q26q1hVweW4yzDRM5FsXfww7SEAwMnUSexHRl4GUnNTn9lyupxpOaTnpcPasHjL6IqWFWGub/7s2KfHQi7IJddJVn4WnuQ8kVx7gHKMYjNiJWNRdJ3o6+hL3otxmXEokBfA1thWXPHj6evkaVWsqqAwqVCynXbRdaKrpQsHUwcxXjT21obW4koF+fJ8xGfGQ1tLWzJG1ayrISUnRfJ9L405gsoGtVZGGDJkyEvlrVmz5pU7VJLY2FiUK1cOp06dQtOmxUvSTJs2DceOHcPZs2efeY6enh7WrVuH/v37i7Fff/0V3333HeLj43Hq1Cl4eXkhNjZWsvXEp59+CplMhk2bNqnsC1dG0JzYjFi1K/nM9c3FfwgK5AV4lPEIWjItyWQZlxmH3MJctdo10TMR/yFQCApEpymr5CqYVxD/4UrMSkRWQZZa7RrpGkn+Ibifeh+A8h/Eon22nuQ8QXpeulrt6mvrS/7heZj2EHJB+UNL0T8oqbmpSM1NVatdHS0dyQ8BRWNkb2wvLkGUkZeB5JxktdotaYxsjGxgoqf8QSS7IBsJWerviaRqjKwMrWCmr3z/5hbmIi6z5IKkkqgaI1XXn7pUjVFJ1586VI1RSdefOlSNUUnXnzpUjVFJ1586/jtGcZlxkh9AiYiIiIiIiIiI6MUuPb6EoAtB2HB1AwK7BuLzOp8DUN48vJZwDS0rtOTv3IiIPjBqrYzwJooMXpaNjQ20tbURHx8vicfHx8PBwUHlcxwcHJ6bX/RnfHy8pBghPj5esm3Df+nr65e4OgS9WV02dMHl+MtqPWdm85mY024OAOWN1aoBVZ9ZCmfgvwNx8N5Btdod7jkcv3X/DYCy+tHtZ2XFVv43+WJV2sR9ExF8NVitdj+u9jG29dsmPq6yrAoKFYWImRQjVn/NPjYbP59VvY1ISZo5N8PJoSfFx01WNUFsRiwujboEDwcPAMDyc8vxzZFv1Gq3slVlRI6LFB8XjdH+z/ejQ6UOAJT7/YzcNVKtdksao6eXK9p/dz96buqpVruA6jFa0mmJuPfRhdgLaL6mudrtqhojVdefulSNUUnXnzpUjVFJ1586VI1RSdefOlSNUUnXnzpUjdFQj6FY9fEqtdohIiIiIiIiIiL60GTmZ2LjtY1YeWElwmLDxPieO3vEYgRrI2vJnu9ERPThUKsYQZP09PRQv359HDp0CD169AAAKBQKHDp0CGPHjlX5nKZNm+LQoUOYOHGiGDtw4IC4soKbmxscHBxw6NAhsfggPT0dZ8+exZdffvkmXw69IgMdA3HZn5dVdNMZUC6nY6Rr9Ewbr9Luf5enUfV8fW19tdstWi7p6XYLFYWSilE9bT212y1aXqeIoY4hjHSNxOWkAOX3St12DXUMnznPf9vV0dJRu92SxujppXu0Zdpqt/tfRWNUtKIBoFyV4VXaVTVGqq4/dakao5e5/tRpt2iMSrr+1KFqjEq6/tShaoxKuv7U8fQYFa1kcijqELILsl/7+iIiIiIiIiJ6HXKFHPnyfHFlw+yCbKTkpKjdzn+XN84tzIW5gbm4smFeYR6SspPUbtfBxEH8PUBqbiqy8rNgqm8qrmxYIC94pVUt7YztxP+vp+elIyMvA8Z6xrAwsACg/L68yqqWNkY24u8+MvMzkZabBkNdQ3F5a0EQ1P7wBKBczfG/Y6SnrSfuhQ0AjzMeQyEo1GpX1RjpaOk8s7S6ur+7UTVGWjKtZ5ZWV3f1yZLGSNX1p46SxkjV9aeOksZI1fWnjpLGSNX1p46SxkjV9aeuV5kjHmc+xupLq/HnlT+Rka/8Hulq6eKTGp9gVP1RaO3aWu1+EBHR+0etbRqK9OzZU+VSOjKZDAYGBqhcuTI+++wzVKtWrVQ6WWTTpk3w8fFBUFAQGjVqhKVLl2Lz5s24desW7O3tMWjQIJQrVw7z5s0DAJw6dQqtWrXC/Pnz0bVrV2zcuBFz587FxYsXUbt2bQDAggULMH/+fKxbtw5ubm7w8/PDlStXcOPGDRgYGDyvO6L09HSYm5tzmwYiovfA/rv70ca1jaRIgYiIiIiIiOhtEgQBW25sge9BXyzssBC9a/YGAGy6tgn9/umnVlsyyKCYVXwTvPfm3vjn5j/4tcuv+LKh8gNZh6MOo936dmr3M/GrRHEbyS93fYkVF1bgu9bf4dtW3wIAriVcg3ugu9rt3hh9AzVsawAAvj3yLb4//j3GNByDgC4BAJQ3dx0Wq14t93mODT6GlhVaAgACzgVg3J5x+LTWp9jUW7ldr0JQQHu29vOaUGlLny3PjFEb1zY47HNYzLFZaKP2NqaqxqiWbS1cG31NzKmxvAZuJd1Sq11VY2RnbIf4qcWrDLdc0xInok+o1a6qMSrp+lNHSWOk6vpTR0ljpOr6U0dJY6Tq+lNHSWOk6vpTR2nMEZWtKmNkvZHw8fCRbAFLRET0SisjmJubY9u2bbCwsED9+vUBABcvXkRqaio6duyITZs2YcGCBTh06BC8vLxKrbN9+/ZFYmIivv32W8TFxcHDwwN79+6Fvb2yyjA6OhpaWsWf9G3WrBmCg4PxzTffYObMmahSpQq2bdsmFiIAwLRp05CVlYWRI0ciNTUVzZs3x969e1+6EIGIiN4vHSt11HQXiIiIiIiIiLDq0ipEpUZJPp0uk8kkKwe+DBmkHyrT1tKGjpaOZMVEGdRv97+0ZFrPtAugTLX79PeiqF1tmbT44HXbLRqjp1eOLGpX3bZVjdF/23jddktqo+g6ed12S7r+1PEyY1Q0nmq1+xJj9CrtljRGqq6/12m36Hup6vpTx6vOEXraeuhapStG1R+FNm5tnhl/IiIi4BVXRvD19UV6ejoCAgLEm/8KhQITJkyAqakp5syZgy+++ALXr19HaGhoqXe6rOHKCERE759CRSFuJd1CbbvaL04mIiIiIiIiek33U+/DVM8U1kbWAICr8Vex9eZWTG02FcZ6xhruHRERERGR+l6pGMHW1hYnT55E1apVJfHbt2+jWbNmSEpKwtWrV9GiRQukpqaWVl/LLBYjEBG9X+6l3EO79e2QnpeO6InR/KUPERERERERvTFpuWmYe2Iufj77M4bXGy4uc09ERERE9K57pXVzCgsLcevWs/tQ3bp1C3K5HABgYGAAmUz2TA4REVFZV8G8ArRl2niS8wSrL63WdHeIiIiIiIjoPVQgL8Dyc8tReVllLDy1EHnyPNxNuQu5Qq7prhERERERlYpXKkYYOHAghg0bhiVLliA0NBShoaFYsmQJhg0bhkGDBgEAjh07hlq1apVqZ4mIiN4GbS1tTG02FQCw+PRiFCoKNdwjIiIiIiIiel8IgoBdt3ehzoo6GLtnLJKyk1Ddpjp29d+F3Z/tfmYfeyIiIiKid9UrbdMgl8sxf/58BAQEID4+HgBgb2+PcePGYfr06dDW1kZ0dDS0tLRQvnz5Uu90WcNtGoiI3j85BTmosLQCErMTEfxJMPq799d0l4iIiIiIiOgdFx4Xjin7p+Bw1GEAgI2RDb5r/R1G1BsBXW1dDfeOiIiIiKh0qVWMkJ2dDSMjI0ksPT0dAD7om/AsRiAiej/9cPwH+B3xg4eDBy6OvMjth4iIiIjKAEEQkJqbitiMWPHLxdwFbdzaAADiM+PR+PfGyC7IxoOJD2CoawgAGBMyBltubFHrXB0qdcCGTzaIj12WuCC3MBcXR11EeTPlhy/8j/rj17Bf1Wq3nmM97P18r/jYM8gTj9IfYf/A/fBw8AAALDu7DN8f/16tditYVEDYiLDi/v/RAZfjLuOvXn+hXcV2AIDgq8GYuHeiWu0a6Rrh/sT74uN+f/fD4ajDCOgSgE9rfQoA2H93Pz7f+rla7QJQOUazWs3CmEZjAAAXYi+g84bOareraozGNhqLb1t9CwC4n3ofjX5rpHa7qsaof+3++LnzzwCArPwsuP3spna7qsaopOtPHarGqKTrTx2qxqik608dqsaopOtPHSWNkSbmiKTsJAgQoK+tj4lNJmJG8xkwNzBX67xERERERO8KHXWSbWxs0LZtW3Tv3h3du3eHg4MDb74TEdF7a3TD0ZgXOg/hceE4eO8gOlTqoOkuERFRGSJXyPHD8R8QnRb9zDF7E3vMbTdXfDzryCzEpMdgSrMpqGlbEwBw7P4xrL+8Xq1zGukaYVmXZeLjH0/9iJuJNzGi/gg0Kd8EAHDx8UUsP7dc7dezsttKcVnolRdW4mzMWfSr3U/89y8yORLzQ+er3e7iTothYWABAPjr6l84eO8gvKt6o2eNngCAuMw4fH3oa7Xb9W/tD2dzZwDAzoid2HZrG1pWaAkfDx8AyptN4/eMV7tdVWPk6eiJsY3GijkjdoyAQlCo1a6qMapsVRkzWswQcybvm4y03DS12lU1RiVdf+pQNUYlXX/qKGmMVF1/T8ssyJQUH/z3huzAOgPFYgRLQ0s8SHvwzLkz8jOQmJ2oVn//Ox6J2YnILcyVjH9mfqba7abkpkgeJ2cnIzE7UbI9WHZBttrtmuiZSM+Tk4LE7ETky/PFWG5hrtrtGusaSx6n5aWJ34si+fJ8tdv9r6IxyinMEWOFisJXalfVGGXlZ0mOv0q7qsYoIz9DjAkQXqldVWNU0vWnDlVjVNL1pw5VY1TS9acOVWNU0vWnjpcZo7c5R/Sr3Q/z2s2Dq4WrWucjIiIiInrXqLUyQnR0NLZv347t27cjNDQUdevWFQsT3N3d32Q/yzSujEBE9P6auHcifj77M9pXbI8DAw9oujtERFSGbLm+BZ/+/anKY1WsquD2uNvi47or6uJK/BUcGHgA7Su2B6C84Tpq1yi1zmlhYIGU6cU3kdqvb49DUYew4ZMN+Mz9MwDAvzf/xSebP1H35aDArwA6Wsp69c/++Qx/XfsLSzstxYQmEwAAodGhaLGmhdrtPpr8CE6mTgCACXsm4Jdzv+DrFl/jh7Y/AABuJ99GtYBqarcbPiocdR3qAihezWhEvRFY2W0lAOVNMKuFVmq3q2qMelTvgX/7/ivm6MzWgVyQq9WuqjHycvZC6NBQMcdpsRMeZz5Wq11VY1TS9acOVWNU0vWnjpLGSNX19yKWBpZwMnWCk6kT2ldsj2le08RjYY/CYKRrhBq2NaAl0wIAxKTHqF3sYaJnggoWFcTHNxJvQBAEVLGuAj1tPQDKYo3k7GS12jXUNURFy4ri49vJt1EgL0BFy4rip7STspMQnxmvVru62rqoal1VfHz3yV3kFubCxdwFpvqmAJTf99iMWLXa1ZJpoYZtDfHxg9QHyMzPRDmzcmKxUUZehsrirBdRNUb2JvawMbIBoLzhH5USpXa7qsbI2sgaDiYOAJQ35iOTI9VuV9UYWRhYoJxZOQDKQrVbSbfUblfVGJV0/alD1RiVdP2pQ9UYlXT9qUPVGJV0/amjpDHSxBzxdF+IiIiIiN53ahUjPC0tLQ27d+/G9u3bsXfvXlhZWYmFCa1atYK2tnZp97XMYjECEdH760HqA1T6pRLkghznR5xHfaf6mu4SERGVEb0298LWm1vRuXJntHCR3qS3NLTEFw2+EB+vurgKCVkJ6Fe7H9wslUtDX3p8CXvv7IU6DHQMMKnpJPHxX1f/wv3U++herTtq2dUCAEQkRWDrza1qv57pzaeLN2S239qOG4k30L5iezQs1xAA8DDtIf688qfa7Y5tNFa8wXbg7gGcjz2PZs7N0Mq1FQDgSc4TBJ0PUrvdoZ5DYW9iDwA4GX0Sxx8ch4eDBzpXUS7nnlOQg6VnlqrdrqoxqmpdFb1q9hJz5ofOV/uGoKoxKm9WHgPrDhRzlp1dpvYNNlVjVNL1pw5VY1TS9aeOksZI1fX3NENdQ5QzLScWHziYOIg3hImIiIiIiIiobHrlYoSnFRQU4MiRI9i5cyd27NiBjIwMLFu2DAMGDCiNPpZ5LEYgInq/fb71c2y4ugF9a/XFxt4bNd0dIiIqA9Lz0mG3yA558jxcGnVJ3D+ciIiIiIiIiIiIlEqlGOG/Ll26hMLCQjRs2LC0my6TWIxARPR+uxJ/BXVX1IWWTAuR4yIlS5oSEdGH6Y/Lf2DQtkGoZl0NN8fchEwm03SXiIiIiIiIiIiIyhQddZKjo19u7z9PT89X6gwREVFZVMe+Dj6q/BH23tmLn07/hIAuAZruEhERadjG68qVcvrV7sdCBCIiIiIiIiIiIhXUWhlBW1tb/HvR057+xZsgCJDJZJDL5aXYxbKPKyMQEb3/jkQdQdv1bWFjZIOHkx7CQMdA010iIiINSc5OhsNiBxQqCnFzzE1Ut6mu6S4RERERERERERGVOWqtjCCTyVC+fHkMHjwY3bp1g46OWk8nIiJ6Z7V2bY3AroHoXbM3CxGIiD5wW29uRaGiEB4OHixEICIiIiIiIiIiKoFaKyPExcVh3bp1WLNmDVJTU/H5559j2LBhqFGjxpvsY5nHlRGIiIiIiD4cWflZCIkMga6WLnrW6Knp7hAREREREREREZVJahUjPC00NBRr1qzBli1bULNmTQwbNgzDhg2DlpZWafexzGMxAhHRhycpOwk2Rjaa7gYREREREREREREREVGZ9MrFCEXi4+PRv39/HDt2DImJibCysiqtvr0zWIxARPThiEqJwqBtg/Aw7SHujL8DHS1uWURERERERERERERERPRfr7yMwalTpzB8+HBUrVoVmZmZWL58OSwsLEqxa0RERGWPg4kDIpIiEJsRiwuxFzTdHSIiesuGbB+CH47/gKTsJE13hYiIiIiIiIiIqExT6+Ocjx8/xvr167FmzRqkpKRgwIABOHnyJGrXrv2m+kdERFSmGOoa4q9ef6GGbQ04mTppujtERPQWRadFY234Wsggw1DPoZruDhERERERERERUZmm1jYNurq6KFeuHHx8fNC9e3fo6uqqzKtTp06pdfBdwG0aiIiIiIjef5n5mfj7xt+4mXgTCzos0HR3iIiIiIiIiIiIyjS1ihG0tIp3dZDJZACA/z5dJpNBLpeXUvfeDSxGICL6cN19cheVrCppuhtERERERERERERERERlilrbNERFRb2pfhAREb1T5Ao5Pt74MUIiQ3Bh5AXUc6yn6S4RERERERERERERERGVGWoVI1SoUEH8e25uLq5cuYKEhAQoFAoxLpPJJHlERETvI20tbVgYWAAAFp1ahL96/aXZDhER0Ru1LnwdknOS0a92PziZOmm6O0RERERERERERGWeWts0FNm7dy8GDRqEpKSkZxvkNg2a7g4REb0ll+MuwyPIA1oyLWz4ZANM9UxLzDXUNURbt7bi49DoUKTlpqFhuYawM7YDAMSkx+By3GW1+qAl00LnKp3Fx+cenUNiViLq2NeBs7kzACAhKwFhj8LUahcAOlXuBB0tZd3i5bjLiEmPQXWb6uK2FKm5qTgZfVLtdtu4tYGRrhEA4GbiTdxLuYeKlhVRw7YGACC7IBtHoo6o3a6Xi5dYIHL3yV3cSrqFcmbl4OHgAUC5msXeO3vVblfVGNka26JRuUZizt47eyFXqPfzj6oxMjcwR3OX5mLO4ajDyCnIUatdVWNU0vWnDlVjVNL1p46SxkjV9aeO/44R0esQBAG1fq2Fm0k3sfbjtfDx8NF0l4iIiIiIiIiIiMq8VypGqFKlCjp27Ihvv/0W9vb2b6Jf7xQWIxARfbg++vMj7Lu774V5LuYueDDxgfi40W+NEBYbhl39d6Fr1a4AlJ+6Hbx9sFrnN9QxRPbX2eLjrsFdsTtyN1Z3X40hnkMAALsjd6NrcFe12gWAzBmZMNYzBgAM2T4Ea8PXYkH7BZjmNQ0AEPYoDI1+V/9m773x9+Bm6QYAmHZgGhadWoSpTadiUcdFAIAHqQ/g+rOr2u2eHX5WvPm86OQiTDs4DYPqDsK6HusAKG+gG881VrtdVWPUuXJn7B6wW8wxnmuM7ILskppQSdUYNXBqgLARxYUjbj+74X7qfbXaVTVGJV1/6lA1RiVdf+ooaYxUXX/q+O8YEb2Oq/FXUWdFHehp6yFhagLMDcw13SUiIiIiIiIiIqIyT61tGorEx8dj8uTJLEQgIqIP3qIOi5Anz0NWftZz8xxMHCSPa9rWBADJDS0bIxs0dGqo1vn1dfQlj6taVUWiUyJsjGzEmLm+udrtAspVF4q4WbihoVNDyesw1jN+pXb1tPXEvzubOaOhU0NxhYCi46/SrrFucaGBg4kDGjo1hJuFmxjTkmm9UruqxqiqdVVJTn3H+sgtzFWrXVVjVLTyQJG69nVha2SrVruqxqik608dqsaopOtPHSWNkarrTx3/HSOi17Hx2kYAQJcqXViIQERERERERERE9JJeaWWEoUOHwsvLC8OGDXsTfXrncGUEIiIiorIpOTsZMw/NxDctv5EUVBC9LEEQUHlZZdxLuYeNvTaib+2+mu4SERERERERERHRO+GVihGys7PRp08f2Nrawt3dHbq6upLj48ePL7UOvgtYjEBERERUNn288WPsiNiB7tW6Y3u/7ZruDr2DirY7MdI1QsLUBHH7ECIiIiIiIiIiInq+V9qm4a+//sL+/fthYGCAo0ePQiaTicdkMtkHV4xARERERGXTvHbz8DDtIXy9fDXdFXpHFW3R0L1adxYiEBERERERERERqeGVVkZwcHDA+PHj4evrCy0trRc/4T3HlRGIiIiIyi5BECTFs0QvSyEo4LLEBY8yHmFb3234uPrHmu4SERERERERERHRO+OVKgny8/PRt2/ft1qI8OTJEwwYMABmZmawsLDAsGHDkJmZ+dzn5ObmYsyYMbC2toaJiQl69eqF+Ph4SY5MJnvma+PGjW/ypRARERHRW/R0IUJCVoIGe0LvmpPRJ/Eo4xHM9c3xUeWPNN0dIiIiIiIiIiKid8orVRP4+Phg06ZNpd2X5xowYACuX7+OAwcOYNeuXTh+/DhGjhz53OdMmjQJO3fuxJYtW3Ds2DHExsbik08+eSZvzZo1ePz4sfjVo0ePN/QqiIiIiEhTFp5ciApLK+DgvYOa7gq9I4q2aOhZoyf0dfQ13BsiIiIiIiIiIqJ3i86rPEkul2PhwoXYt28f6tSpA11dXcnxn376qVQ6V+TmzZvYu3cvwsLC0KBBAwDAsmXL0KVLF/z4449wcnJ65jlpaWlYtWoVgoOD0bZtWwDKooMaNWrgzJkzaNKkiZhrYWEBBweHUu0zEREREZUtMekxyC3MxcidI3Ft9DUY6RppuktUhhUqCrHlxhYAQL9a/TTcGyIiIiIiIiIionfPK62McPXqVXh6ekJLSwvXrl3DpUuXxK/w8PBS7iJw+vRpWFhYiIUIANC+fXtoaWnh7NmzKp9z4cIFFBQUoH379mKsevXqcHFxwenTpyW5Y8aMgY2NDRo1aoTVq1dDEITn9icvLw/p6emSLyIiIiIq2+a0nQNnM2dEpUZh1pFZmu4OlXFHoo4gMTsRNkY2aOvWVtPdISIiIiIiIiIieue80soIR44cKe1+PFdcXBzs7OwkMR0dHVhZWSEuLq7E5+jp6cHCwkISt7e3lzxn9uzZaNu2LYyMjLB//36MHj0amZmZGD9+fIn9mTdvHr777rtXf0FERERE9NaZ6psisGsgvP/yxk9nfkLf2n3RwKnBi59IH6Rtt7YBAHrX6A1dbd3nJxMREREREREREdEzXmllhNLi6+sLmUz23K9bt2690T74+fnBy8sLnp6emD59OqZNm4ZFixY99zkzZsxAWlqa+PXw4cM32kciIiIiKh1dq3ZF/9r9oRAUGL5jOArkBZruEpVRSz9aij0D9mBso7Ga7goREREREREREdE76ZVWRigtU6ZMweDBg5+bU7FiRTg4OCAhIUESLywsxJMnT+Dg4KDyeQ4ODsjPz0dqaqpkdYT4+PgSnwMAjRs3xvfff4+8vDzo6+urzNHX1y/xGBERERGVbUs/Wop9d/fhcvxlLD69GL7NfTXdJSqDdLV18VHljzTdDSIiIiIiIiIioneWRosRbG1tYWtr+8K8pk2bIjU1FRcuXED9+vUBAIcPH4ZCoUDjxo1VPqd+/frQ1dXFoUOH0KtXLwBAREQEoqOj0bRp0xLPFR4eDktLSxYbEBEREb2n7IztsKTTEvhs84H/UX/0qtELVayraLpbRERERERERERERO8VjW7T8LJq1KiBjz76CCNGjMC5c+dw8uRJjB07Fv369YOTkxMA4NGjR6hevTrOnTsHADA3N8ewYcMwefJkHDlyBBcuXMCQIUPQtGlTNGnSBACwc+dO/P7777h27Rru3LmDwMBAzJ07F+PGjdPYayUiIiKiN29gnYHoULED8uR5GLFzBBSCQtNdojIiuyAbtX+tjWkHpiGnIEfT3SEiIiIiIiIiInpnvRPFCACwYcMGVK9eHe3atUOXLl3QvHlzrFy5UjxeUFCAiIgIZGdni7ElS5bA29sbvXr1QsuWLeHg4ICtW7eKx3V1dbF8+XI0bdoUHh4eCAoKwk8//YRZs2a91ddGRERERG+XTCZDkHcQjHSNcOzBMay+tFrTXaIyIuR2CK4nXseWG1tgoGOg6e4QERERERERERG9s2SCIAia7sS7Lj09Hebm5khLS4OZmZmmu0NEREREL2nJ6SWYvH8yzPXNcXPMTTiaOmq6S6RhOQU52B25G3nyPHzm/pmmu0NERERERERERPTOYjFCKWAxAhEREdG7Sa6Qo+mqpgiLDUOvGr3w96d/a7pLRERERERERERERO+Fd2abBiIiIiKi0qatpY3fuv2GmrY1Ma7ROE13h4iIiIiIiIiIiOi9wZURSgFXRiAiIiJ6tykEBbRkyjrdMzFnkJWfBU9HT1gZWgEAYtJjEJEUoVabutq6aFmhpfj44uOLSMlJQW272rA3sQcAJGQl4Gr8VbX729atLWQyGQDgavxVJGQloKp1VTibOwMAUnJScPHxRbXbbe7SHPo6+gCAiKQIxKTHwNXCFZWsKgEAsvKzcCbmjNrtNi7fGCZ6JgCAqJQo3Eu5h3Jm5VDdpjoAIF+ejxMPTqjdrqoxsjW2RR37OmLOoXuHXrq9P6/+CVdzV4xqMAoOJg5q94eIiIiIiIiIiIiK6Wi6A0REREREmlZUiAAAw3cMx/XE6zg06BDaurUFAOyM2InRu0er1aa1oTWSpiWJj6fun4oj949gY6+N6Fu7LwDg+IPj6LOlj9r9lX8rhwzKYoQfTvyAzdc3Y1nnZRjbaCwA4GrCVbT/o73a7cZNiRMLJZadW4blYcvh19IPs9vMBgBEp0W/UrtXv7yK2na1AQB/XPkDs47Owhf1v0CgdyAAID0v/ZXaVTVG/91uo8MfHSBAvfrrvrX7shiBiIiIiIiIiIjoNbEYgYiIiIjoKVWsq0Amk8FY11iMWRlaiTfTX5aFgYXksZuFGxLtEmFuYC7GzPTN1G73v5zNnFHbrra4QgAAGOkavVK7OlrF/z1wMnVCbbvasDO2E2P6Ovqv1K6+tr74dztjO9S2qw0nUycxpi3TfqV2VY2Ri7mLJKe2XW21ihE6VuworthAREREREREREREr47bNJQCbtNARERERERERERERERERERUTOvFKUREREREREREREREREREREQvj8UIREREREREREREREREREREVKp0XpxCL1K000V6erqGe0JERERERERERERERERERPRmmZqaQiaTPTeHxQilICMjAwDg7Oys4Z4QERERERERERERERERERG9WWlpaTAzM3tujkwo+lg/vTKFQoHY2NiXqv6gV5eeng5nZ2c8fPjwhRc2Eb1/OAcQfdg4BxB92DgHEH3YOAcQfbj4/if6sHEOIPqwcQ4o+7gywluipaWF8uXLa7obHwwzMzNOOkQfMM4BRB82zgFEHzbOAUQfNs4BRB8uvv+JPmycA4g+bJwD3m1amu4AERERERERERERERERERERvV9YjEBERERERERERERERERERESlisUI9M7Q19fHrFmzoK+vr+muEJEGcA4g+rBxDiD6sHEOIPqwcQ4g+nDx/U/0YeMcQPRh4xzwfpAJgiBouhNERERERERERERERERERET0/uDKCERERERERERERERERERERFSqWIxAREREREREREREREREREREpYrFCERERERERERERERERERERFSqWIxAREREREREREREREREREREpYrFCPTOWL58OVxdXWFgYIDGjRvj3Llzmu4SEZWyefPmoWHDhjA1NYWdnR169OiBiIgISU5ubi7GjBkDa2trmJiYoFevXoiPj9dQj4noTZo/fz5kMhkmTpwoxjgHEL3fHj16hM8//xzW1tYwNDSEu7s7zp8/Lx4XBAHffvstHB0dYWhoiPbt2yMyMlKDPSai0iKXy+Hn5wc3NzcYGhqiUqVK+P777yEIgpjDOYDo/XH8+HF069YNTk5OkMlk2LZtm+T4y7zfnzx5ggEDBsDMzAwWFhYYNmwYMjMz3+KrIKJX9bw5oKCgANOnT4e7uzuMjY3h5OSEQYMGITY2VtIG5wCid9OLfgZ42hdffAGZTIalS5dK4nz/v1tYjEDvhE2bNmHy5MmYNWsWLl68iLp166JTp05ISEjQdNeIqBQdO3YMY8aMwZkzZ3DgwAEUFBSgY8eOyMrKEnMmTZqEnTt3YsuWLTh27BhiY2PxySefaLDXRPQmhIWFISgoCHXq1JHEOQcQvb9SUlLg5eUFXV1d7NmzBzdu3MDixYthaWkp5ixcuBC//PILVqxYgbNnz8LY2BidOnVCbm6uBntORKVhwYIFCAwMREBAAG7evIkFCxZg4cKFWLZsmZjDOYDo/ZGVlYW6deti+fLlKo+/zPt9wIABuH79Og4cOIBdu3bh+PHjGDly5Nt6CUT0Gp43B2RnZ+PixYvw8/PDxYsXsXXrVkRERKB79+6SPM4BRO+mF/0MUOTff//FmTNn4OTk9Mwxvv/fLTLh6RJzojKqcePGaNiwIQICAgAACoUCzs7OGDduHHx9fTXcOyJ6UxITE2FnZ4djx46hZcuWSEtLg62tLYKDg9G7d28AwK1bt1CjRg2cPn0aTZo00XCPiag0ZGZmol69evj111/xww8/wMPDA0uXLuUcQPSe8/X1xcmTJ3HixAmVxwVBgJOTE6ZMmYKpU6cCANLS0mBvb4+1a9eiX79+b7O7RFTKvL29YW9vj1WrVomxXr16wdDQEH/++SfnAKL3mEwmw7///osePXoAeLl/82/evImaNWsiLCwMDRo0AADs3bsXXbp0QUxMjMobF0RUNv13DlAlLCwMjRo1woMHD+Di4sI5gOg9UdL7/9GjR2jcuDH27duHrl27YuLEieLKqXz/v3u4MgKVefn5+bhw4QLat28vxrS0tNC+fXucPn1agz0jojctLS0NAGBlZQUAuHDhAgoKCiTzQfXq1eHi4sL5gOg9MmbMGHTt2lXyXgc4BxC973bs2IEGDRqgT58+sLOzg6enJ3777TfxeFRUFOLi4iRzgLm5ORo3bsw5gOg90KxZMxw6dAi3b98GAFy+fBmhoaHo3LkzAM4BRB+Sl3m/nz59GhYWFuJNCABo3749tLS0cPbs2bfeZyJ6s9LS0iCTyWBhYQGAcwDR+0yhUGDgwIH46quvUKtWrWeO8/3/7tHRdAeIXiQpKQlyuRz29vaSuL29PW7duqWhXhHRm6ZQKDBx4kR4eXmhdu3aAIC4uDjo6emJ//EoYm9vj7i4OA30kohK28aNG3Hx4kWEhYU9c4xzANH77d69ewgMDMTkyZMxc+ZMhIWFYfz48dDT04OPj4/4Plf1/wLOAUTvPl9fX6Snp6N69erQ1taGXC7HnDlzMGDAAADgHED0AXmZ93tcXBzs7Owkx3V0dGBlZcU5geg9k5ubi+nTp6N///4wMzMDwDmA6H22YMEC6OjoYPz48SqP8/3/7mExAhERlUljxozBtWvXEBoaqumuENFb8vDhQ0yYMAEHDhyAgYGBprtDRG+ZQqFAgwYNMHfuXACAp6cnrl27hhUrVsDHx0fDvSOiN23z5s3YsGEDgoODUatWLYSHh2PixIlwcnLiHEBERPSBKigowKeffgpBEBAYGKjp7hDRG3bhwgX8/PPPuHjxImQymaa7Q6WE2zRQmWdjYwNtbW3Ex8dL4vHx8XBwcNBQr4joTRo7dix27dqFI0eOoHz58mLcwcEB+fn5SE1NleRzPiB6P1y4cAEJCQmoV68edHR0oKOjg2PHjuGXX36Bjo4O7O3tOQcQvcccHR1Rs2ZNSaxGjRqIjo4GAPF9zv8XEL2fvvrqK/j6+qJfv35wd3fHwIEDMWnSJMybNw8A5wCiD8nLvN8dHByQkJAgOV5YWIgnT55wTiB6TxQVIjx48AAHDhwQV0UAOAcQva9OnDiBhIQEuLi4iL8bfPDgAaZMmQJXV1cAfP+/i1iMQGWenp4e6tevj0OHDokxhUKBQ4cOoWnTphrsGRGVNkEQMHbsWPz77784fPgw3NzcJMfr168PXV1dyXwQERGB6OhozgdE74F27drh6tWrCA8PF78aNGiAAQMGiH/nHED0/vLy8kJERIQkdvv2bVSoUAEA4ObmBgcHB8kckJ6ejrNnz3IOIHoPZGdnQ0tL+msqbW1tKBQKAJwDiD4kL/N+b9q0KVJTU3HhwgUx5/Dhw1AoFGjcuPFb7zMRla6iQoTIyEgcPHgQ1tbWkuOcA4jeTwMHDsSVK1ckvxt0cnLCV199hX379gHg+/9dxG0a6J0wefJk+Pj4oEGDBmjUqBGWLl2KrKwsDBkyRNNdI6JSNGbMGAQHB2P79u0wNTUV93gyNzeHoaEhzM3NMWzYMEyePBlWVlYwMzPDuHHj0LRpUzRp0kTDvSei12VqaoratWtLYsbGxrC2thbjnAOI3l+TJk1Cs2bNMHfuXHz66ac4d+4cVq5ciZUrVwIAZDIZJk6ciB9++AFVqlSBm5sb/Pz84OTkhB49emi280T02rp164Y5c+bAxcUFtWrVwqVLl/DTTz9h6NChADgHEL1vMjMzcefOHfFxVFQUwsPDYWVlBRcXlxe+32vUqIGPPvoII0aMwIoVK1BQUICxY8eiX79+cHJy0tCrIqKX9bw5wNHREb1798bFixexa9cuyOVy8XeEVlZW0NPT4xxA9A570c8A/y0+0tXVhYODA6pVqwaAPwO8kwSid8SyZcsEFxcXQU9PT2jUqJFw5swZTXeJiEoZAJVfa9asEXNycnKE0aNHC5aWloKRkZHQs2dP4fHjx5rrNBG9Ua1atRImTJggPuYcQPR+27lzp1C7dm1BX19fqF69urBy5UrJcYVCIfj5+Qn29vaCvr6+0K5dOyEiIkJDvSWi0pSeni5MmDBBcHFxEQwMDISKFSsKX3/9tZCXlyfmcA4gen8cOXJE5f//fXx8BEF4ufd7cnKy0L9/f8HExEQwMzMThgwZImRkZGjg1RCRup43B0RFRZX4O8IjR46IbXAOIHo3vehngP+qUKGCsGTJEkmM7/93i0wQBOEt1T0QERERERERERERERERERHRB0DrxSlEREREREREREREREREREREL4/FCERERERERERERERERERERFSqWIxAREREREREREREREREREREpYrFCERERERERERERERERERERFSqWIxAREREREREREREREREREREpYrFCERERERERERERERERERERFSqWIxAREREREREREREREREREREpYrFCERERERERERERERERERERFSqWIxAREREREREREREREREREREpYrFCERERERERERERERERERERFSqWIxAREREREREREREREREREREpYrFCERERERERERERERERERERFSqWIxAREREREREREREREREREREpYrFCERERERERERERERERERERFSqWIxQCgRBQHp6OgRB0HRXiIiIiIiIiIiIiIiIiIiINI7FCKUgIyMD5ubmyMjI0HRXiIiIiIiIiIiIiIiIiIiINI7FCERERERERERERERERERERFSqWIxAREREREREREREREREREREpYrFCERERERERERERERERERERFSqWIxARERERATgccZjzDw0E7OOzJLEfw37FaNDRuP0w9NiLCY9BqNDRmPGwRmS3N8v/o7RIaNx9P5RMZaQlYDRIaMxed9kSe76y+sxOmQ09t/dL8ZSc1MxOmQ0xu4eK8nddG0TRoeMxq7bu8RYTkEORoeMxuiQ0ShUFIrxf2/+i9Eho/HPjX/EmFwhF3OzC7LFeMjtEIwOGY2N1zZKzjdu9ziMDhmNlJwUMXbw3kGMDhmNdeHrJLlT9k3B6JDRiM+MF2PH7h/D6JDR+O3Cb5LcmYdmYnTIaDxMeyjGzsScweiQ0Vh+brkk1/+oP0aHjMadJ3fE2MXHFzE6ZDR+Ov2TJHfuibkYHTIaNxJviLFrCdcwOmQ05ofOl+QuPrUYo0NGIzwuXIxFJkdidMhozD42G0RERERERERERFQ6WIxARERERATgr2t/YV7oPGy4ukES3x25G4HnA3Er6ZYYS85ORuD5QKy7LL0xv//ufgSeD8S1hGtiLD0vHYHnA7Hq0ipJ7pH7RxB4PlByUzy7IBuB5wOx4vwKSe6J6BMIPB+IsEdhYixfno/A84EIPB8IhaAQ46djTiPwfCBOxxQXTwgQxNy8wjwxfj72PALPB+L4g+OS8wVdCELg+UBkFWSJsfC4cASeD8Th+4cluavDVyPwfCDS8tLE2PXE6wg8H4h9d/dJctdfXo/A84FIyk4SYxFJEQg8H4iQyBBJbvDVYASeD0RcZpwYu5dyD4HnA7E9Yrskd8uNLQg8H4iY9BgxFp0WjcDzgfj7xt+S3H9v/YvA84GISokSY7EZsQg8H/hMUQYRERERERERERG9Oh1Nd4CIiIiIqCyY3HQyChWFkEEmiX/m/hkaOjWEh4OHGLM3sYd/K3+Y6JlIcvvU7INatrXQqFwjMWZlaAX/Vv7Q19GX5Pao1gOu5q7wcvYSY6Z6pvBv5Q+ZTNqHLlW6wNbIFq1cW4kxfR19+LfyBwBoy7TFeIeKHWCsa4ymzk3FmJZMS8w10DEQ461cW8Ef/mjg1EByPr+WflAICpjpm4mxZs7N4N/KH3Ud6kpyfb18kVuYC2tDazHW0Kkh/Fv5o4ZtDUnu5KaTkZGXAQcTBzFW16Eu/Fv5o7JVZUnuuEbj8CTnCVzMXcRYTdua8G/ljwoWFSS5X9T/AnGZcahkWUmMVbGqAv9W/nA0dZTkDvUcig4VO6C6TXUxVsGiAvxb+cPGyAZERERERERERB86uVyOgoICTXeDNEhPTw9aWq+/roFMEAShFPrzQUtPT4e5uTnS0tJgZmb24icQERERUZmQV5gHXW1daMm4YBgREREREREREX3YBEFAXFwcUlNTNd0V0jAtLS24ublBT0/vtdrhyghERERE9EEqVBSi7999YW5gjlXdV0FHiz8af+jyCvMQGh2KW0m3MKbRGE13h4iIiIiIiIjorSoqRLCzs4ORkdEzq3fSh0GhUCA2NhaPHz+Gi4vLa10H/I0rEREREX2Qzsacxa7bu6CjpYNJTSZJtmGgD1NidiLa/9EeWjItDKgzABYGFpruEhERERERERHRWyGXy8VCBGtr6xc/gd5rtra2iI2NRWFhIXR1dV+5HRYjEBEREdEHycvFC//2/RcCBBYiEACgvFl5tKrQCs7mzsjIy2AxAhERERERERF9MAoKCgAARkZGGu4JlQVF2zPI5XIWIxARERERvaxCRaG4JUO3at003Bsqa44OPqrpLhARERERERERaQy3ZiCg9K4DrVJppYxZvnw5XF1dYWBggMaNG+PcuXMl5v72229o0aIFLC0tYWlpifbt2z83n4iIiIjeXSvOr0DLNS2RkpOi6a4QERERERERERERvdfeu2KETZs2YfLkyZg1axYuXryIunXrolOnTkhISFCZf/ToUfTv3x9HjhzB6dOn4ezsjI4dO+LRo0dvuedERERE9Cal5qbim8Pf4HTMafx55U9Nd4fKuKTsJOQU5Gi6G0REREREREREZUZ8PHD5cvHjiAjgwQPl3wsKgIsXgbQ05ePERODSpeLcyEggKkr5d7lcmZvy/88LJScrHwuC8nFRG/Tue++KEX766SeMGDECQ4YMQc2aNbFixQoYGRlh9erVKvM3bNiA0aNHw8PDA9WrV8fvv/8OhUKBQ4cOveWeExEREdGbZGFggaODj+LrFl9jbKOxmu4OlWE9N/WE7SJbHLx3UNNdISIiIiIiIiLSqIwM4OhR5Z/r1wNt2hQfGzwY+P575d+TkoD69YHQUOXjzZuBJk2Kc7/8Epg5U/n3rCxl7sH//+pl507lY7lcWcQwcCAQHf2mX9mbM3DgQMydO1fT3ShRfn4+XF1dcf78+Td+rveqGCE/Px8XLlxA+/btxZiWlhbat2+P06dPv1Qb2dnZKCgogJWVVYk5eXl5SE9Pl3wRERERUdkkFJVUA6htVxs/tP2Be9/Rc9kb2wMAriVc03BPiIiIiIiIiIg0KzJSWYAQGQkMGgQcOVJ8bO1awM9P+XcbG+DCBaB5c+XjTz8Fzpwpzg0MBIruzxsbK3OLbul266Z8rK0NpKcrV1koKHj5Pg4ePBgymQzz58+XxLdt2/bM7wHlcjmWLFkCd3d3GBgYwNLSEp07d8bJkycleaGhofDy8oK1tTUMDQ1RvXp1LFmy5IV9uXz5Mnbv3o3x48eLMX9/f1SvXh3GxsawtLRE+/btcfbsWcnzZDIZtm3bpvK19ejRQ3x8/PhxdOvWDU5OTiU+Z+vWrejYsSOsra0hk8kQHh4uOa6np4epU6di+vTpL3w9r+u9KkZISkqCXC6Hvb29JG5vb4+4uLiXamP69OlwcnKSFDT817x582Bubi5+OTs7v1a/iYiIiOjNuJZwDfVW1kNEUoSmu0LvkK9bfI34qfGY0WKGprtCRERERERERKRRNWsqCxFq1gTs7YG6dYuPVasGVKig/LuuLlCvHmBurnxsawt4ehbnVqkCuLkp/66trcy1tFQ+trZWPpbJgEqVgD17lH+qw8DAAAsWLEBK0d4PKgiCgH79+mH27NmYMGECbt68iaNHj8LZ2RmtW7eW3Ng3NjbG2LFjcfz4cdy8eRPffPMNvvnmG6xcufK5/Vi2bBn69OkDExMTMVa1alUEBATg6tWrCA0NhaurKzp27IjExET1XiSArKws1K1bF8uXL39uTvPmzbFgwYIScwYMGIDQ0FBcv35d7T6oQ+eNtv6OmT9/PjZu3IijR4/CwMCgxLwZM2Zg8uTJ4uP09HQWJBARERGVQeP3jEd4XDimHZyG7f22a7o79I5wNufP9kREREREREREAGBgAFSu/PbOJwjK7Rq0tZXFCS+rffv2uHPnDubNm4eFCxeqzNm8eTP+/vtv7NixA926dRPjK1euRHJyMoYPH44OHTrA2NgYnp6e8HyqmsLV1RVbt27FiRMnMHLkSJXty+Vy/P3339iwYYMk/tlnn0ke//TTT1i1ahWuXLmCdu3avfyLBNC5c2d07tz5uTkDBw4EANy/f7/EHEtLS3h5eWHjxo34vmivjTfgvVoZwcbGBtra2oiPj5fE4+Pj4eDg8Nzn/vjjj5g/fz7279+POnXqPDdXX18fZmZmki8iIvqwLT+3HN7B3th4baMYS89Lh3ewN7yDvSFXyMX47xd/h3ewN9aGrxVj+fJ8MTe7IFuM/3H5D3gHe2PF+RWS83X/qzu8g72RklNc5bnl+hZ4B3vj5zM/S3L7bOkD72BvPM54LMZ2RuyEd7A3FoRKKyM/3/o5vIO9cT/1vhjbf3c/vIO9MfvYbEnu8B3D4R3sjVtJt8TY8QfH4R3sja8PfS3JHRMyBt7B3giPCxdjZ2POwjvYG1P2TZHkTtk3Bd7B3jgbU7xMVXhcOLyDvTEmZIwk9+tDX8M72BvHHxwXY7eSbsE72BvDdwyX5M4+Nhvewd7Yf3e/GLufeh/ewd74fOvnktwFoQvgHeyNnRE7xdjjjMfwDvZGny19JLk/n/kZ3sHe2HJ9ixhLyUmBd7A3uv/VXZK74vwKeAd744/Lf4ix7IJscezz5flifG34WngHe+P3i7+LMblCLuam5xVvE7Xx2kZ4B3tj+TlpNWzPTT3hHeyNxKziCtt/b/4L72BvLD61WJLb/5/+8A72xsO0h2Jsd+RueAd7Y+4J6f5mg7cNhnewN+48uSPGDkcdhnewN7498q0k94tdX8A72BvXE4orbE9Gn4R3sDemHZgmyZ2wZwK8g71xIfaCGLsQewHewd6YsGeCJHfagWnwDvbGyeji5dOuJ1yHd7A3vtj1hRjb1HsTBtYZiDUfrwERERERERERERGp5+FDYPx45Z9vw6VLylUWLl1S73na2tqYO3culi1bhpiYGJU5wcHBqFq1qqQQociUKVOQnJyMAwcOlNCvSzh16hRatWpVYh+uXLmCtLQ0NGjQoMSc/Px8rFy5Eubm5qj79DITGtCoUSOcOHHijZ7jvVoZQU9PD/Xr18ehQ4fEvTMUCgUOHTqEsWPHlvi8hQsXYs6cOdi3b99zLw4iIqKSXE24ipDIEDQu11iMFcgLEBIZ8kzuzcSbCIkMQW272mJMISjE3KcLF24n30ZIZAjcLNwkbYREhkAhKJAnzxNjd1PuIiQyRNzrvMjeO3uRmZ8pKXK4n3ofIZEhMNEzkeQevHcQ8VnxmJc3T4w9THuIkMiQZ/bWOnL/CO6l3MM3Lb8RY7EZsQiJDEFOYY4k93j0cVxLuIZJTSaJsYSsBIREhiApO0mSe/LhSZx9dBaj6o8SY8nZyc98zwDgzKMzOBx1GJ/XKS4mSM1NRUhkCCpaVpTkhsWGISQyBD2r9xRjGXkZKr9nl+IuISQyBJ0qdRJj2QXZKr9nV+KvICQyBM1dmouxPHkeQiJDoCWT1n1eT7iOkMgQeDoUV9TKFXJx7BWCQozfSrqFkMgQVLOuJmmjKLdAXrxpWmRyJEIiQ1DerLwkd0/kHuTJ85BbmCvG7qXcQ0hkCCwNLSW5++/ux5OcJ8gqyBJj0WnRCIkMgb6OviT3UNQhxKTH4LvW34mxR+mPEBIZgkJFoST36P2jiEiOwHSv4v3H4jLjEBIZgrS8NElu6MNQXHx8EWMbFf/clpidiJDIENRzrCfJPR1zGqHRoRjiMUSMPcl58sz3zNbYFut7rgeRuk4/PI0VF1agmnU1zGwxU9PdISIiIiIiIiLSiIwM4OhR4IsvXphaKipUANasKd7+QR09e/aEh4cHZs2ahVWrVj1z/Pbt26hRo4bK5xbFb9++LYmXL18eiYmJKCwshL+/P4YPH67q6QCABw8eQFtbG3Z2ds8c27VrF/r164fs7Gw4OjriwIEDsLGxkeT0798f2traklheXh66du1a4jlfh5OTEx48ePBG2i7yXhUjAMDkyZPh4+ODBg0aoFGjRli6dCmysrIwZIjyF9WDBg1CuXLlMG+e8ibLggUL8O233yI4OBiurq6Ii4sDAJiYmEj28iAiInqeQXUHoXG5xvB0LL7JbKxnjNXdVwOA5EZ+39p9UduuNtzt3cWYjpaOmGugU7xVUM8aPVHRsiJq2Ep/QFrVfRUEQYCZfvHqPF2qdIG9sT2qWFeR5P7a5VcUKgpha2wrxtpVbIfV3VfDzVJa5LD0o6XIKchBObNyYqxFhRZY3X31M8uWL2i/ABl5GZKb/o3KNcLq7qvhaOooyf2+zfdIyUmRvI66DnWxuvtqSb8A4JuW3yAxKxF1HYqrQmvY1sDq7qufuYH+VbOv8Ln752hUrpEYq2hZEau7r4apvqkkd0LjCfik+ifwcvESY+XMymF199Uw1DWU5H7R4At0qtQJjcsXF5fYGttidffV0NGS/vg0xHMImrs0R32n+mLMTN8Mq7uvfqaAY0CdAajnWE/y2gx0DMSxf7rt3jV7o5p1NdSyqyXGZDKZmGusZyzGu1XrhvJm5VHNRlq4sLLbSsgVclgZWomxTpU7wcrQCpWspJuuLeu8DHmFeXAwKV5NqrVra6zuvhoVLKQ/+f/Y4UdkF2RL4k2dm2J199WSawcA5rabi7TcNMl1Wd+pPlZ3Xw17E2kRyKxWs5CcnSwpOqltVxuru6+GtZG1JHdG8xmIz4yXfN+rWFfB6u6rYW5gDqLX9TD9IdZfXo+69nVZjEBEREREREREH6yaNYErV97e+aytgcGDX/35CxYsQNu2bTF16lSVxwVBUKu9EydOIDMzE2fOnIGvry8qV66M/v37q8zNycmBvr7+M78XBoA2bdogPDwcSUlJ+O233/Dpp5/i7NmzksKFJUuWoH379pLnTZ8+HXK5/L/NlQpDQ0NkZ2e/OPE1yAR1v+PvgICAACxatAhxcXHw8PDAL7/8gsaNlTcTWrduDVdXV6xduxaAcn8PVRUfs2bNgr+//0udLz09Hebm5khLS+OWDUREH5AjUUeQkZ+BzpU7Q1dbV9PdISKiUpSQlYCfz/yMtm5t0a6ienv3ERERERERERG9a3JzcxEVFQU3NzcYGBi8+AlvSEoKcPAg0L49YGn54nwAGDx4MFJTU7Ft2zYAQNeuXaGrq4vBgwejZ8+eYgHCxx9/jJs3bz6z+gEAnDp1Cl5eXvj333/FFfj/64cffsAff/yBiIgIlccPHDiAjh07Ii8vD3p6es/tc5UqVTB06FDMmDEDgPKDaKrO/d/X9rSSnlPk/v37cHNzw6VLl+Dh4fHM8QULFuCPP/7AtWvXnjlWWtfDG1sZQS6XY+3atTh06BASEhKgUCgkxw8fPvymTo2xY8eWuC3D0aNHJY/v37//xvpBRETvt9nHZ+Po/aNY0H4BpnlN03R3iIioFNkZ22FOuzma7gYRERERERERkUZdvQp07gzs2QO4u784/3VFRQGffgpcuPDyxQj/NX/+fHh4eKBaNelKsv369cNnn32GnTt3olu3bpJjixcvhrW1NTp06FBiuwqFAnl5eSUeL7rhf+PGDZU3/9Vp6224du0aPD09X5z4Gt5YMcKECROwdu1adO3aFbVr11a5HAUREdG7SiEo0MCxASKSItCvdj9Nd4eIiIiIiIiIiIiIqNTZ2ABduwKPHxcXI9y4AZiaAs7OQG6u8nGVKspYfDwQFwfU/f9OtRERgIEBUKECUFCgLG6oVAkwNwcSE4GYGKDofnhkJGBmBqSlAcbGqvvzMtzd3TFgwAD88ssvkni/fv2wZcsW+Pj4YNGiRWjXrh3S09OxfPly7NixA1u2bIHx/0+8fPlyuLi4oHr16gCA48eP48cff8T48eNLPK+trS3q1auH0NBQsRghKysLc+bMQffu3eHo6IikpCQsX74cjx49Qp8+fdR+bZmZmbhz5474OCoqCuHh4bCysoKLiwsA4MmTJ4iOjkZsbCwAiCs5ODg4wMGheJveEydO4Pvvv1e7D+p4Y8UIGzduxObNm9GlS5c3dQoiIiKN0ZJpYVHHRVjQYQG0ZFqa7g4REb0BCkGBK/FXcDnuMnw8fDTdHSIiIiIiIiKit87RUfk1dKiycAAA+vUDWrcGfvlFGatfHzhyRBlbvx6YNw948kSZO3gwUKsW8PvvQFKSMnfXLmWBw+bNwOTJQNECAV9+CdjaAn/99fr9nj17NjZt2iSJyWQybN68GUuXLsWSJUswevRoGBgYoGnTpjh69Ci8vLzEXIVCgRkzZiAqKgo6OjqoVKkSFixYgFGjRj33vMOHD8f69evFVfy1tbVx69YtrFu3DklJSbC2tkbDhg1x4sQJ1KpVS+3Xdf78ebRp00Z8PHnyZACAj48P1q5dCwDYsWMHhgwZIub066f8QOWsWbPg7+8PADh9+jTS0tLQu3dvtfugDplQtElGKXNycsLRo0dRtWrVN9F8mZKeng5zc3OkpaXBzMxM090hIiIiIqJSkJCVAPsf7QEASV8lwdrIWsM9IiIiIiIiIiJ6M3JzcxEVFQU3NzcYGBhIjj1+rCwkeBsrI+joAG5ub/GFl7KcnBxUq1YNmzZtQtOmTTXdnRL17dsXdevWxcyZM1Uef971oI43tjLClClT8PPPPyMgIIBbNBAR0Xvl7pO7yJfno4ZtDU13hYiI3iA7Yzs0Kd8EVoZWeJLzhMUIRERERERERPRBKlodoUjNmsV/NzAA6tUrfmxvr/wqUq1a8d91daW5trbKryJVqpRenzXF0NAQ69evR1JSkqa7UqL8/Hy4u7tj0qRJb/xcpboywieffCJ5fPjwYVhZWaFWrVrQ1dWVHNu6dWtpnVbjuDICEdGHZcSOEfj90u/wb+WPWa1nabo7RET0BgmCwOJqIiIiIiIiInrvldYn4en9UCZXRjA3N5c87tmzZ2k2T0REVCbkynOhLdNGK9dWmu4KERG9YSxEICIiIiIiIiIiejWlujICAGRnZ8PIyKg0myzzuDICEdGHJyErATZGNtCSaWm6K0RE9BbkFuZCBhn0dfQ13RUiIiIiIiIiolLHlRHoaaV1PZT6HRQbGxt4e3tj5cqViI+PL+3miYiIygQ7YzsWIhARfSBG7BgBi/kW2HV7l6a7QkRERERERERE9M4o9bsoN2/eRKdOnbB582ZUqFABjRs3xpw5c3D16tXSPhUREdFblZ6XjvS8dE13g4iI3jJDXUPkyfNw7tE5TXeFiIiIiIiIiIjonVHqxQgVKlTAuHHjcPDgQcTHx2PixIm4evUqWrRogYoVK2LixIk4fPgw5HJ5aZ+aiIjojQoMC4TDjw6Yd2KeprtCRERv0cQmE3FrzC3Mbz9f010hIiIiIiIiIiJ6Z7zR9aXNzc3Rv39/bNy4EYmJiQgKCoJcLseQIUNga2uLDRs2vMnTExERlapTMaeQU5gDO2M7TXeFiIjeooqWFVHNphpkMpmmu0JERERERERERPTOkAmCIGjixJcuXUJhYSEaNmyoidOXqvT0dJibmyMtLQ1mZmaa7g4REb0hgiDg3KNzqGFbA2b6nO+JiIiIiIiIiIiI6P2Qm5uLqKgouLm5wcDAQHIsOhpISlL9PGtroEIFICcHuHkTqFoVMDEBYmKAhITnn9PNDbC0BOLjgcePAQ8PZTwhAbDjZwI16nnXgzp0SrFPAJTbNLRt2xZt2rRBmzZt4OzsrDLP09OztE9NRET0RslkMjQu31jT3SAiIg24En8Fay6tgYOJA6Y3n67p7hARERERERERvRXR0UCNGkB2turjw4YBv/8O3LsH1K8PnDoFNG0K/PQTsGTJ89vevBno0wfYsAHw9wfS04HERKBNG2DPHsDFpdRfzlsxcOBA1KhRAzNnznzr5/b19UVWVhaWLVv21s+tSqlv0zBkyBBERUVh1KhRcHV1ReXKlTFixAj89ddfiIuLK+3TERERvXFyhRwaWkiIiIjKiLtP7mLp2aVYd3mdprtCRERERERERPTWJCUpCxH+/BO4cOHZLz8/ZV7FisrH7u7Kx5Mnq85/+qt9e2XugAHA8ePKvz98CNy4UfJKDKoMHjwYMpkM8+fPl8S3bdv2zLabcrkcS5Ysgbu7OwwMDGBpaYnOnTvj5MmTkrzQ0FB4eXnB2toahoaGqF69Opa8qLoCwOXLl7F7926MHz9ejLVu3RoymQwymQwGBgaoWrUq5s2b98x9h/Hjx6N+/frQ19eHR9EyEU85evQoPv74Yzg6OsLY2BgeHh7YsGGDJGfq1KlYt24d7t2798K+vg2lvjKCv78/ACAvLw8nT57EsWPHcPToUfzxxx8oKChA1apV0bZtWyxfvry0T01ERPRGbLu1DdMPTsekJpMwptEYTXeHiIg0oGWFlvii/hdo7doagiA88x9ZIiIiIiIiIqL3UeXKwN69ytUOnrdbvaEhUK9e8ePy5ZVfL8PeXvn1OgwMDLBgwQKMGjUKlpaWKnMEQUC/fv1w8OBBLFq0CO3atUN6ejqWL1+O1q1bY8uWLejRowcAwNjYGGPHjkWdOnVgbGyM0NBQjBo1CsbGxhg5cmSJ/Vi2bBn69OkDExMTSXzEiBGYPXs28vLycPjwYYwcORIWFhb48ssvJXlDhw7F2bNnceXKlWfaPnXqFOrUqYPp06fD3t4eu3btwqBBg2Bubg5vb28AgI2NDTp16oTAwEAsWrRInW/hGyET3tJHPVNSUrB48WIsW7YMmZmZkMvlb+O0b0V6ejrMzc2RlpYGs+e9C4mI6J3UZ0sf/H3jb/h6+WJe+3ma7g4RERERERERERERUanKzc1FVFQU3NzcYGBgoLF+XLyo3O7hwgVpccPzDB48GMnJybhz5w66deuGhQsXAlCujNCzZ09xBYJNmzahX79+2LFjB7p16yZpo1evXjh27BgePHgAY2Njlef55JNPYGxsjD/++EPlcblcDmtra2zYsAFdu3YV461bt4aHhweWLl0qxurXr48KFSpg69atz7Tj7++Pbdu2ITw8/IWvvWvXrrC3t8fq1avF2Pr16/H111/j4cOHL3x+SUrreij1bRqK5Ofn49ixY/juu+/Qpk0blCtXDps2bULv3r2xZs2aN3VaIiKiUrf247X4o+cfGF5vuKa7QkRERERERERERET01jx+DPj7K/8sy7S1tTF37lwsW7YMMTExKnOCg4NRtWrVZwoRAGDKlClITk7GgQMHVD730qVLOHXqFFq1alViH65cuYK0tDQ0aNCgxBxBEHDixAncunULenp6L3hVL5aWlgYrKytJrFGjRoiJicH9+/dfu/3XVerFCLNnz0bbtm1haWmJL7/8Eo8fP8bIkSNx584dREZGYtWqVRg0aFBpn5aIiOiNMdYzxud1Pkclq0qa7goREWlYdFo0/rnxj6a7QURERERERET0ViQlAb//rvyzrOvZsyc8PDwwa9Yslcdv376NGjVqqDxWFL99+7YkXr58eejr66NBgwYYM2YMhg8v+UOLDx48gLa2Nuzs7J459uuvv8LExAT6+vpo2bIlFAoFxo8f/7IvTaXNmzcjLCwMQ4YMkcSdnJzE/miaTmk36O/vDxcXFyxevBh9+vSBtbV1aZ+CiIiIiIjorUvNTYXrUlcIEPB4ymM4mDhouktERERERERERG+UuztQwkIDZdKCBQvQtm1bTJ06VeXxoi0bXtaJEyeQmZmJM2fOwNfXF5UrV0b//v1V5ubk5EBfXx8ymeyZYwMGDMDXX3+NlJQUzJo1C82aNUOzZs3U6svTjhw5giFDhuC3335DrVq1JMcMDQ0BANnZ2a/cfmkp9ZUR9uzZg379+mHt2rVwcnKCu7s7xo0bh7///huJiYmlfToiIqI35nLcZXT6sxP+vvG3prtCRERlgIWBBeo71Ufjco2RkJWg6e4QEREREREREdF/tGzZEp06dcKMGTOeOVa1alXcvHlT5fOK4lWrVpXE3dzc4O7ujhEjRmDSpEnw9/cv8dw2NjbIzs5Gfn7+M8fMzc1RuXJlNGzYEJs3b0ZAQAAOHjyoxisrduzYMXTr1g1LlixRuSPBkydPAAC2trav1H5pKvVihE6dOmH+/Pk4c+YMkpKSsGDBAhgZGWHhwoUoX748atWqhbFjx5b2aYmIiErd2vC12H93PzZd36TprhARURlxZtgZnBl+BnXs62i6K0REREREREREb9zVq0D58so/3xXz58/Hzp07cfr0aUm8X79+iIyMxM6dO595zuLFi2FtbY0OHTqU2K5CoUBeXl6Jxz08PAAAN27ceG7/TExMMGHCBEydOlXtlRqOHj2Krl27YsGCBRg5cqTKnGvXrkFXV/eZFRM0odS3aXiaqakpunTpgk6dOuHcuXPYsWMHfv31VwQGBiIgIOBNnpqIiOi1jW00Fmb6Zmjt2lrTXSEiojJCW0tb010gIiIiIiIiInprCgqAR4+As2eVfy+JiwtgYwMkJQHR0UC9esp4RASQlfX8c9SuDejpAffuAcbGQFqa8s9X5e7ujgEDBuCXX36RxPv164ctW7bAx8cHixYtQrt27ZCeno7ly5djx44d2LJlC4z/f+Lly5fDxcUF1atXBwAcP34cP/74I8aPH1/ieW1tbVGvXj2EhoaKhQklGTVqFL7//nv8888/6N27NwDgzp07yMzMRFxcHHJychAeHg4AqFmzJvT09HDkyBF4e3tjwoQJ6NWrF+Li4gAAenp6sLKyEts+ceIEWrRoIW7XoEkyQd1yi5egUChw/vx5HDlyBEePHsXJkyeRlZWF8uXLo02bNmjTpg18fHxK+7Qak56eDnNzc6SlpcHMzEzT3SEiIiIiojdMISggV8ihq62r6a4QEREREREREb223NxcREVFwc3NDQYGBmL88WPAyenFz//tN2D4cOD334ERI4CiO9BNmwJnzjz/uQ8fKldf6NMHSE8H9u1Tr++DBw9Gamoqtm3bJsbu37+PatWqIT8/X7L6QGFhIZYuXYq1a9ciMjISBgYGaNq0Kfz8/ODl5SXmLVu2DEFBQYiKioKOjg4qVaqEESNGYNSoUdDSKnnzgcDAQKxfv16yKkPr1q3h4eGBpUuXSnK/+OILhIaG4sqVK9DS0kLr1q1x7NixZ9qMioqCq6srBg8ejHXr1j1zvFWrVjh69Kj4uHr16vD390e/fv2e9217rpKuB3WVejFC586dcerUKWRkZMDJyQlt2rRB69at0aZNG1SsWLE0T1VmsBiBiIiIiOjDMf3AdPx+6XcEdA5Af/f+mu4OEREREREREdFre97N58ePlV/PU1orI8jlQJUqr/FCNCwnJwfVqlXDpk2b0LRp07d+/j179mDKlCm4cuUKdHRefZOE0ipGKPVtGiwsLLBo0SK0adMGVd7lK4WIiD5YydnJ+O7Yd/Cp64P6TvU13R0iIipjChWFeJLzBMcfHGcxAhERERERERG99xwdlV8vw8ZG+VWkWrWXP8/78Ll2Q0NDrF+/HklJSRo5f1ZWFtasWfNahQil6Y1s0/Ch4coIRETvl+XnlmPsnrHwcPDApVGXnpv7JOcJNlzZgMz8THSt2hV17OsAAO4+uYvN1zfD0dQRgz0Gi/m/hv2KtNw0tfrTxq0NmpRvAgCIzYjFuvB1MDcwx+iGo8WcteFr8TjjBaWp/9G4fGO0dWsLAEjNTUVgWCB0tHTwlddXYs7m65tx98ldtdp1t3eHd1VvAECBvAA/nvoRADCl2RToaesBAHbd3oWr8VfVareiZUX0rd1XfPzjqR9RIC/Alw2/hIWBBQDgcNRhnI05q1a7JY2Rj4cPnEyV64+diTmDI1FH1Gq3pDHqU6sPKltVBgBcib+CkNsharVb0hipuv7UpWqMVF1/6lI1RqquP3WpGqOnrz+iN+V28m0kZyejgVMDbtNARERERERERO+F0vokPL0fyuzKCACgUCiwdu1abN26Fffv34dMJoObmxt69+6NgQMHQiaTvYnTEhERlYp6jvXQr3Y/tHRp+dy8MzFn0PfvvohOiwagvKlddDM4IjkCMw/PRAOnBpIb3QtPLsSDtAdq9WdB+wXizeBH6Y8w8/BMVDCvILnR/WvYrwiLDVOr3alNp0puBs88PBOGOoaSG93rLq/D7sjdarXrU9enuBhBUYCZh2cCAMY3Hi/e6P77xt9Yd1m9m9qdK3eWFCPMOjoL2QXZ6O/eX7zRvffOXiw6tUitdksao3YV24k3uk88OCG+jpdV0hjVsa8jFiNcfHxR7XZLGiNV15+6VI2RqutPXarGSNX1py5VY/T09ZeYlYjA84GY2WImdLTKRiUwvR+qWlcFrDXdCyIiIiIiIiIiorKt1H8rKwgCunXrhj179qBu3bpwd3eHIAi4efMmBg8ejK1bt2Lbtm2lfVoiIqJS09S5KZo6l7yXkyAIWHJmCaYfnI5CRSEqWlZE6wqtUcWqeHui8mblMdRjKFwtXCXP/bTWp0jOTlarP+527uLfbYxsMNRjKKyNpHfBulfrLsl7GQ3LNRT/bqJngqEeQ8Ub0UU6VOwAB2MHtdpt5txM/Lu2TBtDPYYCgORmcAuXFtCWaavVrru99PUNqjMI+fJ8mOiZiLGGTg3F872sksbIxqh4LTF3e3e12y1pjJzNncVYFasqardb0hipuv7UpWqMVF1/6lI1RqquP3WpGqOi60+ukKPJqia4l3IPDiYOGFl/pNrtExEREREREREREdGrK/VtGtasWYMJEyZg+/btaNOmjeTY4cOH0aNHDwQEBGDQoEGleVqN4jYNREQfjpScFAzePhg7InYAUN64/q3bbzDT5/xPVNb8fOZnTNw3EfbG9rgz/o6kKILodd19chfBV4NhomeCSU0nabo7RERERERERESvhds00NNK63rQKsU+AQD++usvzJw585lCBABo27YtfH19sWHDhtI+rcTy5cvh6uoKAwMDNG7cGOfOnXtu/pYtW1C9enUYGBjA3d0du3ertxw1vT0RSREIjwtHRl6GGEvLTUN4XDgikiIkuZHJkQiPC5fszZ6Zn4nwuHDcSrolyb3z5A7C48LxJOeJGMsuyEZ4XDhuJN6Q5EalRCE8LlzyyeacghyEx4U/s//5g9QHCI8LR2JWohjLl+cjPC4cV+KvSHKj06IRHheOuMw4MVaoKER4XDjC48IluY/SHyE8LlyyP7xcIRdz5Qq5GH+c8RjhceF4lP5I0kZRbqGiUIzFZcYhPC5cXHK+yJX4KwiPC0e+PF+MJWYlIjwuHA9SpcvNX42/ivC4cOQU5Iix5OxkhMeFIyolSpJ7I/EGwuPCkV2QLcae5DxBeFw47jy5I8m9lXQL4XHhyMzPFGNFYx+ZHCnJLbpOnh77jLwMlddJ0din5qaKsaLr5L9jfy/l3jPXSdHYX0+4Lsktuk6eHvu8wjyV10nR2CdkJYixouvkv2Mfkx7zzHXy9Ng/XV9WdJ08PfaCIKi8TorGPiY9RnK+otynxz4hK0HldVI09nmFeWKs6Dr579hfT7j+zHVSNPb3Uu5Jcouuk6fHPjU3VeV18rpzRFpuGr498i2SspOgyrlH5+AZ5IkdETugp62HX7v8io29NrIQgaiM+rLhl6hkWQnxWfFYdFK97TuIXuRW0i18e/Rb/Hr+V013hYiIiIiIiIiIqEwq9WKEK1eu4KOPPirxeOfOnXH58uXSPq1o06ZNmDx5MmbNmoWLFy+ibt266NSpExISElTmnzp1Cv3798ewYcNw6dIl9OjRAz169MC1a9feWB/p1fX9uy88gzxxJuaMGAuNDoVnkCc+//dzSe7g7YPhGeSJI/ePiLHzsefhGeSJXpt7SXK/DPkSnkGe2BO5R4xdT7gOzyBPdNnQRZI7ad8keAZ5YuvNrWLsXso9eAZ5ou36tpLcmYdnwjPIExuuFhfgxGbEwjPIE01XSZeA//7Y9/AM8sSqi6vEWEpOCjyDPOEZ5CnJXXRqETyDPBFwLkCM5Rbmirm5hbliPOBcADyDPJ/ZQ70oNyUnRYyturgKnkGe+P7Y95LcpquawjPIE7EZsWJsw9UN8AzyfGaP77br28IzyFNyQ3nrza3wDPLEpH3STw122dAFnkGekhv5eyL3wDPIE1+GfCnJ7bW5FzyDPHE+9rwYO3L/CDyDPDF4+2BJ7uf/fg7PIE+ERoeKsTMxZ+AZ5Im+f/eV5A7fMRyeQZ44cPeAGLscdxmeQZ74eOPHktxxe8aJN6KLRCRHwDPIEx3/7CjJnXZwGjyDPLH5+mYxFp0WDc8gT7RY00KS++2Rb+EZ5Il14evEWGJWIjyDPNHwt4aS3Hkn5sEzyBMrzq8QYxn5GeJ4Pl1csvTMUngGeWLpmaVirFBRKOZm5BffsF9xfgU8gzwx78Q8yfka/tYQnkGekqKKdeHr4BnkiW+PfCvJbbGmBTyDPCVFCpuvb4ZnkCemHZwmye34Z0d4BnkiIrm4QGBHxA54Bnli3J5xktyPN34MzyBPXI4r/rfjwN0D8AzyxPAdwyW5rztHHI46jO+Pfw/3QHdJsYYgCFh6Zimar26OB2kPUNGyIk4PO40vG34JmUwGIiqb9LT1ML/9fADAj6d/lPw7RvS6mrs0x6e1PsXkJpOhEBSa7g4REREREREREVGZo/PiFPU8efIE9vb2JR63t7dHSkpKicdf108//YQRI0ZgyJAhAIAVK1YgJCQEq1evhq+v7zP5P//8Mz766CN89dVXAIDvv/8eBw4cQEBAAFasWPFMPmmWrbEtHE0coa+jL8b0dfThaOIo2TcaUO4j7WjiCAOd4qVD9LT14GjiCFsjW0mulaEVHE0cYahrKMZ0tXXhaOIIO2M7Sa6loSUcTRxhpGskxnS0dOBo4ggrQytJroW+BRxNHGGsayzGtGXaz5wLAMwNzOFo4ihZQlpLpgVHE8dnvg9m+mZwNHGEqb6pGJPJZGLu0zdHTfVN4Wji+Mwnt4tytWTFNUkmeiZwNHGEuYG5JNfBxAE5BTmS/d2NdY3haOIIC30LSa69sT10tXQl+44b6RrB0cQRloaWklw7Yzvky/Ohq60rxgx1DVV+L22NlGP/9F7pBjoGzx17VdeJrbF07K2NrJ+5Tkoae/E60Skeu6KxtzeWznuWBs9eJ9pa2irHwsLg/9eJXvF1UjT2T38fgeLrxFTvqbGH7LnXSUljL8NT14meqcqxdzRxRKGiUHKdGOv9f+wNLCS5DiYOMNI1grZW8XUijr2BdOztje0hCILk9RnqqB57O2M7ZOVnSa6TorG3NrKW5L7uHGFvYo/yZuUxo/kM8XWk5KRg6I6h2HZrGwCgd83e+L3b7898r4iobOpVoxealm+K0zGnMevILPzW/TdNd4neE+YG5tjUe5Omu0FERERERERERFRmyYSn1/QuBdra2oiLi4Otra3K4/Hx8XBycoJcLld5/HXk5+fDyMgIf//9N3r06CHGfXx8kJqaiu3btz/zHBcXF0yePBkTJ04UY7NmzcK2bdteegWH9PR0mJubIy0tDWZmXKqbiOh9kZSdhIa/NcT91PvQ09bD4o6LMabhGK6GQPSOOfXwFLxWe0FLpoXLX1xGbbvamu4SvScUCuC334CgK0tgYpOCRf1GoHENZ8yZA4Q/vooYsy2o5VQRv48djAMHgBMngL+jA5CJBLQ294GreSUAwJ3UWwhND4aFrDx6OI8U29+XtBL6djGY0fUzdG5YHUuXAhej7iLCcB0q2Nhh89SxOHUK2LsX2PlwLZKFe2hs0gc1rNwBAI8yHuJAym8wgiU+dSleoepg/AboOEZgVMuPMaBtfaxcCVyIiMMF7eWwszDB7pnTcfky8M8/wP5HmxErv4q6hl3hadsEgHJrpR2JS6ANPQx08RPbPfL4X8jKXUSfeh0wrntLbNgAhF3JwLHChTAzleGY/2xERgJ//AEcjd2F+4VnUVWvFZo5tAcA5BbmYVPsDwCAz8p/C10tZSHiybj9yHM4gY9qNsM3/Tpj2zbg/AUFdmbOgrk5sHXSDORnGWHFCuBs/FHcyjsEF52GaOPUXezbH9HfQYFC9LCbKhYUnk84iVTrvfCqXBeLhvQWxygkfQ6MLXKwctgEOJrZYvFi4HLSOVzK2QEHrZr4qNxnYrsbHy5ELtLRyfJLOJqUAwBcTw5HjNnf8HCugqDRPuIY7U9fCj2LJMztPRxNqrti9mwgIuU6Tmf+BUtZBXxcfoTY7taHvyIdsWhpNggVzasCAO6l3cYt/fWo6uiE4EmjxTE6nPYbtKweYGrH/ujetBbmzAHuJN3HodTfYQwb9HGeKLYbErMOiUIkGhr1Ri1rDwDA48xHOK/1K8rbmGOn7zRxjE6kBkNufR1Dm3XH4A6NsXQpcPtRInYlLYUuDDHA+Rux3QOxW/BIHo7a+p3RwK45AOW2WscKFsHKUgdHvv0OsbHAihXAyeTtKLA7h0/qtsfEHm2wciVwOyobW+LmAAAGlv9eLIQ9HrcbUQUnUVmvJbzsOwEAChQF2JXhD0srYNfUbyEU6mPxYuBMwgHkOh5F2ypN4P9ZN2zYAEREAOsefgNAwCf2vmJB77mEY7iZtx/lteujndMn4uv4N9Ufltb5WD18ClztrTF7NnAx8RRS7HahkUsdLBnWD9u2ARcvAsEP5yJflonOluNhb+wAALiafB4XcrbCTlYdXcoNKv6+p/wIY5snWNT3CzSu7vL/OeIyYiw2oZZjJfw+ZljxHBHzMzIRj9ZmQ+FqVhkAEJl6Eycz/4AFnNGjfPEKcvuSA6Fv9xAzugxE54Y1lHPE/TuIMFqNCjb22Dx5QvEcEbMKybiLxsZ9UcOyLgAgJiMaB9MCYQQrfFr+q+I5InEddBxuYWSLT/B524ZYuRK4eDsO53V+hp25CXbP+Fq8/vbF/oXHiiuoo98N9Wyb/X+OSMaO5B+Vc0T574rniLh/ICt3Hn3qdcK4bq2xYQNw/moGjsnnwtRUhmPfzi2eIx7vwAP5aVTRbYNm9h2L54g4f+Uc4TS7eI6I34s8x2P4qEZzfNO3a/Eckf01zM2Bf8Z/g4JsY+UckXAYt/IPwEW7Edo49hT7tj7mGyhkhehh7SsWXZ9PPI4Um91oXskTiwb3LZ4jMmfD2CIbQYMnw8ncTjlHJJ/BpdxtcJDVxkdOxSuybYyZh1xZGjqaj4WTSXnlHPHkImLMN6Nu+apY+eXQ4jkiczH0LBIxt9coNKnmppwjUq/idNYGWMIVH5f7oniOeLQM6XiElqZDUNGsmnKOSI/ALcM1qOpQDsETxhXPEekroGV1H1M7DkD3Ju6YMweITIrC4fQgGMMWfcpNEdvdFbsKScJtNDTsi1pW9QAAsZkxuKCzDOWszbFr+kxxjI6n/QGF9TUM8+oJn3ZN/j9HJGDXk8XQhREGlJtVPEc83ohHikuordcVDWxbAgDS8lJxpHAebCx1cPibOeIccSplK/LtzuKTuh0xsXs7rFwJRERl4e+E2co5wmle8RwRvwtRhSdQWbc1vOw6i3PEzqxvYGUF7Jo8u3iOSNyHXKfDaFu5Gfz7f1w8RzzyhSBToJeNX/EckXgENwr2wFmrIdo59BFfx7Y0P1jY5GHNsOmoYKecIy4lncQT++1o6FwXS4cOKJ4jHs1WzhEWk2BvpPxAwJXkc7iY9zfsZDXQxXFI8fc9dT5MbJ9gUZ8xaFy9gnKOiAvHI6tg1HSojN+/HClef//E/oQMxKG1yQi4mlUBANxJu4HQrLWwgAt6OI0tniNSAqBvF40ZnQejc4Oa/58jIhFh8hsqWDtg86TJxXNEbBCScQeNDQeghqWHco7IfICD6QEwFKzRt1zxB7wOJK2GruNNjGzRB5+3bqT8OeL2Y1zQ/Ql2FqbYPf3b4jni8Z94LFxGHb2PUc9G+e9Dck4SdqYsgLagj4HlfiieIxI2Q1Y+DH08OmOcd9v/zxHpOCZ8r5wjvlkoXn/H4rfhvvwkqui0QzO7j/4/R+RiU4Ly55LPHOYWzxEJu5HneAQf1WiJbz7tVjxH5E5X/hwxzh/5Wf+fIxIP4GbBPrhoNUFbh97Fc0SsLxQoRE/rb2D+/w/lnE86hhTbnfCqWA8/+nxWPEdkfwtji2ys9JkGR7P/zxFPTuNS7j+wl7mjs6OP2O5fsd8jD2noZD4RjsZFc8QFxFj+BY/y1RA0akTxHJG1AHqWiZjbczSaVKv4/zniCk5nr4elzA0fO44pniMeL0G68AgtTYajoln1/88Rt3DL6HdUcSiHv8ZPKp4jMgMgs4rCVx180L1xHeXPEcn3cChjOYwFO/Rxml58rT5eiSREoKFBf9SybAAAeJz1EOd1lyrniK++LZ4j0tdCbnMVw5r2wuB2zbB0KRDxKB4hqQuhKxhhgFPxqqwH4oIRK1xALd1uaGDTWpwjjiq+V/4cMXNB8RyR+jfy7U/jkzofYWK3DsVzRJJy9c6BDovEOeJEwg7ckx9DZe228LLrWjxH5Pgq54hJcyAUGCjniKQ9yHE6gLZVmuO7vp8UzxGPp0CAgF7W/jDVU/7e/1zSIdwoCIGzViO0s+8nvo5/M2bAwjoPa4bOhKudjXKOSD6BJ/b/oqGzB5YOGVQ8RzyehXxkoLP5V+IccfXJWVzI2wQ7WU10cUdKnb0AAGP1SURBVCheCXRX+hyY2CZjUe/xaFzNVTlHxF9CjNUfqOlQBau++LL454jHC5GJOLQ2+QKupsqfISPTruNk9ipYoAJ6OE4Q292b+jMM7B9gRqdh6NyglnKOeHAbt0wD4WrtiM0TponX3464X/EEkWhsMBA1LJT/PsRk3cfBjJ+Vc4Rj8c+FB5/8Dm3H6xjl1Reft27y/zkiFhf0F8HEVI7ebaviwcNCXLkC3MoIQ7oQg0YFX6GxlTcA4Eb+XhzKmwf9AieMtPpLOW7IxqasLyCzeIC65WqhZc2quHABiI7NxR3ZHhjoyzCuQw8kJgLnzwN3Mi7jiXAPtfKHoq218j33UHEO27K+gk6hJYabbxHniL+yhqPQPBI17CujY113XL0KPHwo4FrhNhgYAkObd4U8Xw+nTgEPsm4hXn4TlfJ7oov1RABAMm7jr4xR0JIbYYDhnzDXV34ga2vWZGSYXUBFK2d83LABIiKAe/eA6wW7oGdYgL4N28NM3xRHjwKPsqPwqDAcTvlt0cta+e9nOmKwIWM4FAoBn+j8DkdjZwDA7mx/JBofgZOFHfo29UJUFHDrFnAr/wB0jDLR1b0FKtjZYP8+ICHnEe4XnIN1QT18ZrUEAJCNZGzIGIo8IRNdZAGoaFoDAHA0dymiDLbCxtQCPi3a4tEj4MoVIDL/GGCUjDZVG8O9QjkcOAAkZiUhMv84TPIrY4jVanGM/sj0QRbi0abgR9S2bAQAOJu3Ftf0VsPCyBAj2nQWx+hu3lkojB+hiasnGlVxw7FjQEJaBm7kHoBBoT1GWGwRr6n1mQOQhodolOeLxtbKVayvFWzHGa3FMDLUxtj2HyMtDTj1v/buOzyqou3j+HfTeyUkBAgJvROKhFCkKiKgIqAoKkXFhoCIgh31EQQ7FnywoD4KKLwooCICAmJDpCtdeiCEkN7bef84ZDcrG2EhEMrvc1252Nw7e5/ZndnJsmfOzC+wN3cDxf57aR7ZmM5NGvLLr3DseAEbc77GtdiPewO+to4Rn2fdRxJ/0TR/BF1Dzc9v+4yf+L7ocXx8YETnvhjF7qxcCfuyt1IYuJ16VerQq2UL1q2DpCT4PXM+LiWe3OH1f9Yx4svsRzlk/EadvIFcW8VcATiRTSwqeAhv3yJujbuaYD8/vl8Ch3J2k+O/maigGvRr25YtW+DQIViX+Q0lRjE3uX1KVe9I8z2b/QK7jCVE5vWgf5Wnrf1vQcEoPPxyuL55F2pVDWHpUvO7gDTftUT4hzGofSdr/9uUuYx8MuhjzCDG3/z7sCrnbTaXzCE0vy23hr6Cn18eHTrtwq+aBy4eBgFefnh5uJOZCQXFhRRZskjNT6WYXOoGNiEvD7albsLN1ZUGvnG4WTzZnrKFMP9gXNzzSc/NJj/XhaZVWlJCERtTV+HmZtAgrD5e7m6sPfAX4d7V8fFyIaMgjdySTBoENyMv18KxvER8PDzxNSLwdQ0CIM9IJ8M4govhThVX8zsVg2JSS/aDawHeHt4E+fiedGGinJm8vDz27t1LTEwMXl5ep35AeYwKZrFYjGuvvdbo16+fw59rr73WcHFxqejDGoZhGAkJCQZg/PLLL3bxRx55xGjbtq3Dx7i7uxuzZs2yi7399ttG1apVyz1OXl6ekZ6ebv05ePCgARjp6eln/yTkX8XFGYa3t3M/zzxje/yuXWYsIsI+b+/ezue9/37b41NTbfGCAlt86FDn8w4caF83f38znpBgi40b53zerl3t89aubcY3brTFXnzR+bxNmzpuo2XLbLEPPnA+b3ltNHu2LbZwofN5y2ujN9+0xX755czyOmojR/3P2R9HbVRe/3Pmx1Ebldf/nPlx1Ebl9T9nfhy1UXn9z5mff7ZRQIAtVlJSYtw2/zYj5vUYY23CWkNELl79P+9vMBGj16e9KrsqcgmZPNkwwDAso2sbTMR4b/GvhmGYfz9pOttgIkbw6G6GYRjGhAlmWe5rajARg5hl5u8YBvUXmrG74mwxDMNlRJzBRIwnP1loGIZh1KljmI+biOH5kPlH8JVXTpS/o5uZo+lsW44av5qxUbXt897Wx2AixpA33jcMwzDatTMMqm42mIjh8mi4YRiG8b//nSg/4GYzR9tpthzBu83YY352ebl+uMFEjJ7PTzYMwzD69jUM/I6YZZ82/w/43XcnyvYaaca7Pml7vEeGGZuIgVuuLd5jvMFEjNaPjTUMwzDuvNMwsBRZy+48mGysW3ei7JXPmfE+99jX7UlPMx5wwBaLf9lgIkbM2Nvs22h8iMFEjG/WbDMOHjwRazPdfPxNN9rnfaiGGa/2hy3W/BODiRihY3ratZHLqAYGEzHeXPijkZd3omyjeebjh3W0zzuilRmvu9gWq7vYYCKG95hWdm3kendHg4kY4z6YZ+t/UT+ajx/ZwD7vbT3NePNPbLFqfxhMxHAdV8OujdwG32gwEeOWV6bb+l+VbebjHw2xz9vvNjMe/7ItFnDAjD3paRiGYW0jtxvuMZiI0e3Z52z9zzvZ1vaWIluOq8easR7jbTG3XGvZhOQMaxtZuj9pMBGj2fiRtv6HYfC0i1ne74gtR8fJZuy64fbP4zE/g4kYyzfstrVR22kGEzFqPnSzrf9hGIwLN3NU3Wx7fMv3zdgtfezyaozQGKExQmOExgiNERojNEZc3mPEJrPsMxZbW5X96faYLcc1o8zYU262mE+S48ed6qffbbYc7V5xPEacSd7be9ge3/gLW7zsGPGYr/N572lhe3ytlbZ42TFibHXn846paXt82F+2eNkx4t7mzucdH+S4jZp/bIvf3sP5vE+627+3SuOdn7HFbrjjzNqu7BjxhPfJ7+WuT55Z3rJjxLiqZuzWXrbYFW+fWd6yY8QD5t8BRrRy3P+c+YlZassxrIMZG13LAMOoVSvXWPz9emPt/rXG2gTbz8q9K42PN35s7EjeYTy5/EkjaHKQkZCRYCRkJBit/tvKuGXeLUZCUpaxftdhg4kYH/8x20jISDBeWPWC4fGch5GQYBgJRwqMjh92NK6ffb2RkJFgbD+23WAixrt/vGskZCQYr/76qsFEjP1p+43NiZuNrh91NRbtWGSs3X7QWLvWMH927DfrdOgPW2xdgV1dNyduNi4Et912m/HCCy9UdjXKlZ+fb9SqVctYu7b88x65ubnG1q1bjdzc3LM6VoVv0zBkyJBTlrnjjjtOWeZCNnnyZJ599tlTF5QKl5cHubnOPaaw0HbbMMzHe3jYl8nPdz5vQYH9744eX1BQMXmLisy6lyosdD5vfr7976WvZdm8RUXO583Lc5y3pMzWycXFzuctr43KLqpyJnn/qbSNiopssZKSM8vrqI0c9b+zyVvaRqfT/07FURuV1/+c4aiNyut/znDURuX1P2eUbaOSEsjIT+edD0u4775gwsMtTO89naKSopO2pRCRi8vk7pNZsGMBi3cvZtmeZfSo3aOyqyQXud9+gydPXAAUnnQ7YV7J1I80t20aMQI2JdUjIXMkjSPNK5LatYMHHoAFKbeQm3mE+CtrUMu8qIO/s6JZu3skfsXR9LFd1MbynIG4515BbEw0ALfdBuv21WBX+kiigs0rqGJjzbyLU24gfXdjWrasR4PO5uMTcsJZvXskniVV6Fcm74rMPrjmRtP+isYA9O8PNbeFsiFlJGEB5lWh9eubeZen9OTY7jAa1WtOiyvMx6fkB7Bk90hcDU9uKpP3x7RukOND59atAejdG0Kq+bD62IP4+ZqrCtWsaeb9KaUzB3dZqB3RjrgTOfKK3Plyl3nlyIC7XXF3MeO/prQnP+tBujU2r6js2hU8PC0sPvog/v4Q4OuFV5iZd23qFeze9SDV/TtwZZm6fb73fkooovfNfgSc+Jy5Ia0lqRkP0rH2FXZttCT9bryNHGpWCcbX14xtTm/KX7seJMylBT3K5P2/xGEUJKXR5Zowqp3YnWtbRkMSUkfRokZDuzb6If923HKSaFQjEhcXM7Yzow7rd43Cv7g2vcvkXXR8ENnZHYnrUIsYc0EA9mbVYtfxUdSpWsOujX4sGAA5rWhdu461/+0+HslPu0bhVVKVG8rk/e749aTtakCLFg1p1MmMJeZUZeOxUUQEB9m10S95vSnKqUHHVs2s/W/HoWC+3zUKN8OHgWXy/nD8ao7uCqFBTEtatTJj6fl+/JQ4mqAA82uHsBNttCarG/nZXnRp2dba/xq18GLBztEA3HyfBZcTi1D9fLwTB3YWEx3WgfgTxyssceW7w6MJDAQfT3eME6/l2rR4crNH06NeJ2v/i4qCOX+PwjAM+t7qg9+JXb/WpbZh587RRPrE0bnM8/jm2P34B+cTGRJobaONqS1IyxxN21otrf3PywvmJdxNoSWT7n1CqXpiF7e/0puweedoQo0mXF0m75LMYXi7H6d+ZIS1jTYl1SchfQyNq9Wz638Lj99OdvoR2l9Z0zpG7M6MYe3OMQSU1LLrJ8uzB+GeFU9sTIy1jdbtq8mulDFEhfxjjEjuT9rO5rRqWd86RhzOiWDVzjF4lYTajRErM67HJasu8Vc0sbZRzW2hbEgeQ5V/jhHJ15K0sxqN68Zax4jU/EC+2/HQyWNEylWQFUjnNldY2yikmg+rjz508hhxvCsHd7hTO6K9/Rixw1zlxW6MON6R/IwCujW50tpGHp4WFic+hL/fP8aIlDh273iIGn7xdCo7Rvw9ihKKuPYmPwJP7Pi2IbU1qWkP0bF2a7s2WpJ6H17FOdQILTNGpDbnrx0PEWZpbj9GHL6bgsR0ul5TlYjSMSK9EYeOjyW2RgO7NvohdxhumUk0qlHd2v92ZdTjjx1jCSiJsR8jkm8jK7ML7dpH28aIzGh2HhtLvX+OEXk3Q2Zb2tSuZ+1/u5Kr89OOsXj/Y4xYknwjKTuaENu8kd0YseHoWKoFB9q10S85fSnMjKZDy+bW/rf9YDBLd4w9aYxYkdyLxB3hNIhuU2aM8Oenww+fPEZk9iA/048urdpZ+1+jFl4s2GGu4FB2jPjleGf277AQXaWT/Rhx6OGTx4jUDuRmPkz3+h2s/S8qCubsHIth+ccYkdKWnTsepppXW7qUeR5fHx2Ff1A+1YJtY8Sm1JakpD9MXFSstf95ecG8g/dRaMmie58q1jHiz9RmbNk+jtCSRvZjRPrdeLsep361atY22nS0IQkp42gUUdeu/y08NpTs1ETaXxll+xyRUYfft4/DvyTK/nNE5mDcMzrRMrqOtY3W7YtiV/I4okIi7Prf4mM3kba9Fa1iG9o+R2RX48ft404eI9L7YcloSHybZtY2qrmtChuSxlHF/x9jxLG+JG2LonHdVmXGiCC+2/YIrvxjjEi+BjJC6XxFnLWNQqr5svrII/j+c4xI7s7Bbd7UDu9oP0ZsM1d5sRsjkq8kP62Ebk06WdvIw9PC4oRHTv4ccTye3dseobpPO7vPEXN2jcWgiGtv8reNESlXkJLyCB3rtLJro++OP4i3fw41q4TYxoiUWP7a9ihhNLUfIw7dR8HhdLr0DKfaiZ07t6Y1IeHYo8TWqG/XRsuz78LN9RiNqtewjRHp9flj26MElETbjxFJQ8hK70G79jFlxogYdh59lLrh1e3a6MecWzHS29O6U31r/9udXIPV2x7FuyTM/nNE0kBSt7WgRbMmND4xRhzJDmfj4UepFmI/RvycdQNF6fXoEBtr7X/bD4awdOv4k8eIpD4kbq1Ow+graFl2jDg0/uQxIqMneelBdGnd3tr/GrXwYsFWcwUHuzEiuRv7t7oTHdrZboxYfMBcFcPHw8M2RqR0Iid9PN0bxFv7X1QUzN7+KGDQ91Zf2xhxvB07t46nmmcb+zHiyEP4BxUQGRJkGyNSWpOSMoG46ObW/uflBfP2P0ihJYsefcIIK/0ckdqczVsnEGo0tB8jUu/Fy5JCg8hIaxttOtqIhOQJNIqoY9f/Fhy9k5zjR2nfqZZtjEivy+9bJ+BfUtNujFiWfgfuaV2JrVXX2kbr9tZiZ9IEaoWG2/W/xUdvIW1rW1q2aETD0s8R2ZGs2joBr5IQ+/9rpA7AJbUZ8a1aANCj32H2pTxEIoDFoE1kG0KN+uzZC0fz9pNHKi2qt6XtiRybLK34Pa0xHtl1GXIiVmDx5Iv0juCVQnSVSJpEV2XXLkhOKeQYf+HqZqF36xakp8POnXAsP4Ec4xj1/Dpb2+hvlwb8kNYYt9xIBt/liseJXWZnpXeh2CuJ6kFVaVk3kn174ViyweHiTbi5QffmTSkpdOOvrZCSf5RM4wg1LT245kTeRLcovk5riktBMP3LjBHzcnqQa+wmzD+YuIZRHDoER47AkeI/cXUrpkODBvh4erFpE6QVJJNekkDVvF5cfyJvimtVvkyLhSIveveMIOLEGLGoqDupuesI9vWnY5PaHE2EAwfhaPF2LG75tI6pS9VgX9atg8zCNFKK9xOU0cH6nstyCWBuWhuKS4rpHl/bOkYsdenK4dxi/L286dq8PseTYc9eSCraDe7ZNK1Ri1oRQaxfD5l52Rwr3o1PVjMGl2mj2WntKCCTDk2bWseIn1w68XfOEbw83Lm6ZWNrGyUX7qPEI5164TWoXzOULZshIyePI4U78MipZW17gP+ldSSPVGKrt+OKE/H1rm3ZlL0OT3cXerVuRk42/LUVjhceotjjOLVCI2gaE862rZCeWcShgr9wzQ9laJkx4vPMrmS47Ke+X1fr/wl2uDXjl6wmuLvDVS2aguHKpk2Qkp9IkddRqgVWoVW96uzaBWlpsD9vEy6F/tx0iy/+J/6fOT+/G8eLtlDTco21nxx0r8eyzOa4exTTqVEj/Lw9WLcO0vKTyfdMoIpfEO0a1TrR/+Bg3laMEheuLzNGfENXDqe5UTWnr7WfJLpFsSSzJa4eBVxRpx5Vg31Yvx7SctPI8dhPoLc/nZrWtva/Q7k7KbbkclWnaKJPjBHL6cyetDSC0roz8AEIDARfH1csxR64uIC3hwce7q7sTT7MkK+GsG7EOka2HcmAxgOI9DfHpVk3zsLLzYvIIF/CQjxYN2IddYLrEOgVyN2t76ZXvV5EVgNw58PrPsTNxY1I/0iKfYtZN2IdMUExBHsHc0fzO+hcqzM1A2pSWFwIhoXiQld8vf0o3VE7Bx+yi72xFHtS5USsBBdSi/14ZuwEFs1bwPhnxvPixBetfeirr76iX79+GGVOtBQXFzNt2jQ+/PBDdu3ahbe3N+3atePJJ5+kQ4cO1nLz589n+vTpbNy4kfz8fJo0acLEiRPp2bMn/2bTpk18++23TJ8+3RqbOHEic+bM4eDBg3h4eNC6dWteeOEF4uLirGUsFgtffvml3er/AEOHDiUtLY2vvvoKgB9//JGXXnqJdevWceTIEYePmT9/Pu+++y7r1q0jJSWFDRs2EHvi7zKAh4cH48aNY/z48Sxfvvxfn8/ZqvBtGirT+dqmIT8/n/wyZ9YyMjKoWbOmtmk4D6qNupkUyw4iI8H7xCCck2MOpF5eUL26rWxCgnli8o6md/Le3eaXmvN/2M8tC67Hx9Wf1FdXW8vWe+heDpT8Rng4+PmZsfx8c0kcd3fzw2epxETIzoZrY27kyzHmcjjr/8okfkYnXF0hbepaPNzMT6etxz/Gn3mLqVLFHMTBPKG6fz+4uMCJ74wAOHYMMjIgrmpXfnziNQBSUiByYhsMSxF7n/ueyEBzdO3xzEusTvuM4GAICTEfbxjmUjsAtWtD6SryKSmQmgoNAluw+bmPrcfzvfcqijyPsfy+z+nY0PwSZNDU9/ky4S0CAswP+aX27jVP0taqBW4npjClp0NyMlTzjWLfpIXWsiH33Ey21w4+uHE6t3U2P8CPmv5//Hf78/j6QkSELe+BA+aJ4Bo1wPPEB7WsLDh6FAK8/Dk2xdZGNe+7lySP33iu8yTG32j+pZw8ewUTf3uo3LavVg18Tnzhk5sLhw+bx0meZGujxqMe42/LYu5r/giv3zkYgE++38jd3wzF3QOiap7c9lWrwon/X1NQAAcPmq/LrqdtbRQ/7iXWF37GjdF3Mvshs/+t2rifq2dej6srREfb8iYdg8wMCA2FoCAzVlQM+/eZ7bh2/Oc0q2a2Ue+n3mdZxlt0rnoj3z9h9r+DSZnUfcH8hFe7DpRuIHD8uPmhKCjIzA1gAHv+Nm/PHz6d3i3MNho65f+Yffh5mgd0Ze3zr1nr5j26DSUUUSsa3E58SE9LM3P7B0DVMv1k3z5z8sEb103i3u5mG41/dwWvb3uIWl4t2DnF1v+CHryKXJdj1Kxpm3iSmWkub3VSPzkIhQXwaMdHeH6g2UZvfL6RR38ZSqhbFIdfsfW/ihgjBixvSmOfrmx5fIG2YxC5xIxePJppv08jNiKWdSPWWZfmE3FWerr5xdy+fXDzzTB7tu2zl4iIiIiIyOXOMAzm/DmHB759gNS8VDxdPZnUfRJj2o3R/8VFLmDlLcufV5THoYxD1AiogZfbWSzXfw4NHTqUzz//HC8vL/bs2UNwsLltyj8nIxiGwU033cSyZct46aWX6N69OxkZGbz99tvMnDmTuXPnWs8xjxkzhsjISLp27UpQUBAzZ87k5ZdfZs2aNbRs2bLcutx11124ubnx7rvvWmOzZs2iatWq1K5dm9zcXF577TXmzp3L7t27CTtxQu50JyMsXryYn3/+mdatW3PjjTc6fMz//vc/9u7dS2RkJHffffdJkxEAUlNTiYiIYP369TRp0uSk51FR2zRU+MoIlal0Jsny5cutL3pJSQnLly9n5MiRDh8THx/P8uXL7SYjLF26lPj4+HKP4+npiWfpmVM5r9Jcd1AQtIl9eUDZK6JDoADISC0T8zF/UosSraGcvAIKQjZRVBBolzfF+JuCkE0cLATK5jiRd1vZmKf5k1x4hTWUX1BMQYg5eaXsF9HHiw5QELKJwyVw+B95+WdeNzOeXBxtDRUXQ37QJnAtwrDYLt8+XpBAQcgmjgJHHeTdnlYmZjmRt8jX7jnn+G6FgMMUGLbLyI/nH6UgZBPJQHLZvEHmP7sysRcCxwuy7UIZ7jsoDtlEbnGWNZaWn0JByCYKMCdGWJ04ob8nB8ixz5tWZN9GqZhtlFFoS5BRkG7N66jt9+cDZa/IP9Gedm1UeICCiE2kFR6zxrILs615HbX9oSIc9pOybZScn0BBlU2kFNr6X0FxgbWfOGr7IwYccdCexRZbGyXnnWijMv2vxLD1v+1lH+9i5kgCkhzkLcDWRsdzzTY6nh9NWXmBZv/blYG9EDgOHC+b90STZRfbgqk5ZhulZNv3v0zvrZT4HubvbKBsFzrxWtr1kxMThDKKbG2UkWe2UVqOff872zHiaHIBhkcW21O2cCj9CDWDIikpMScPicjF76nOT/HRpo/YmLiRTzd/yh0tLu7VuqRyGAbcc485EcHfH666yoxpMoKIiIiIiAgk5yRz/zf3M3frXABaV2vNJ/0+oXFY40qumYicKS83L+qG1D1vxzMMg2KjGFeLq1MXDPbo0YPdu3czefJkpk6d6rDMF198wbx581i4cCF9+/a1xmfMmMHx48e56667uOqqq/D19eX111+3e+ykSZNYsGABixYtKncyQnFxMfPmzeOzzz6zi9966612v7/66qt88MEHbN68me7du5/2cwTo1asXvXr1+tcyt99+OwD79u0rt0xwcDAdOnRgzpw5PP/8807VwRnnbDJCv379HHYQi8WCl5cXdevW5dZbb6VBgwYVetyxY8cyZMgQ2rRpQ9u2bXn99dfJzs5m2LBhgLlFRPXq1Zk8eTIAo0ePpnPnzrzyyiv07t2bOXPm8McffzBjxowKrZdUjLd6Ted4ZiZ16tiuTE9PN6/c9/ExlxgrtWuXeRV75+a25Qe6tIlkSu4SfL3tu/606yeTkPIIUVG2lQayc2DXTvOq7cZlPift3Wse84oGtkusG9XxZUrTJbi5gauLqzX+Wv/x7DoyhOrVbSsN5OfDtm3myc3mzW15Dx40rzZvEm271DwwEKbGfothGIT6hFrjk/vfy+b91xIebl79D+bEhS1bzNvNmoHriWocOWKuNFA7MsjuOb/WcRYFJfk0r1HbGnvqhlu4aucVhIaay6qV2rzZXBmhUSPbCgbHjplXllcL87HL+1av6WTkZdKzeStrbNS1vWi6ZQmBgfarQWzdaq4sUK8++J5Ik5JirphQugybNW+/ySRlPkLfuGbW2O1d2hP8xxJ8faFePVvZnTvNq+FjYmwrUmRmwt9/m1fLl22jaTePZ//xIXSPtY1F17ZpzJS8JXh6ms+51J495uoVNaMg9EQ/yckxj+fujl0bvXLLvWw/ci3xDW1POLZOJFOaLsHV1WyjUgcOnFgFI9JcdQGgoBC2/mWe2KgdbGujSbfcwrq9V9Citq3/hQWa/Q/MPlV64jzhMBxLgrCqUN1cMYmSErM9AeKjbW302IBedNqxhPrVyyx1ALwU+y0lhkHjJuBxYjm6pCRzlYmQEPtVQ7ZsMfvhDbG2J3d/3/bU3byEmmFBdnnfuHIWOfn51K9vW73ieAocPAABAebqHqW2bTPfN73a2tro5m6N8fx9CVUCT+5/ZzNG9OoYybWrl/HSqHbUDPLlyy9hyhT4/nuzXiJycaviU4XHOz7OhOUTeOKHJxjYeCDe7t6VXS25yMycCZ9/bn7WysyE//wH7ryzsmslIiIiIiJS+ZJzkmk2vRmJWYm4Wlx56sqneLzT47i7uld21UTkLBxMP8hLv7zEI+0foWZgzVM/4CxtSNxA6xmtWTdiHa2qtTr1A05wdXVl0qRJ3HrrrYwaNYoaNWqcVGbWrFnUr1/fbiJCqYcffpj58+ezdOnSk1YaAPMC+MzMTEJKTyQ6sHnzZtLT02nTpk25ZQoKCpgxYwaBgYG0aNHi9J7cOdK2bVtWr1596oJn4Zxt0zB06FC++uorgoKCaH1iz9D169eTlpbG1VdfzaZNm9i3bx/Lly+323+jIrz11lu89NJLJCYmEhsby7Rp06x7bnTp0oXo6Gg++ugja/m5c+fy5JNPsm/fPurVq8fUqVO59tprT/t4GRkZBAYGapsGEZFLSE6OOXkhIQH69IGvvrJN8hGRi1duYS69PuvFvW3u5aYmN2l5SHHKtm3Qpo35N2LMGHPSYFAQPP10ZddMRERERETkwjB8wXDWJKzhkxs+oXVk68qujog4obxl+bce28qgeYOYM2DOeVnl5HjOcRbtXETf+n3tLgL9N2W3MoiPj6dx48Z88MEHJ23T0KhRIxo0aGDd8qCs1NRUQkJCmDJlCo8++uhJ90+dOpUXX3yR7du3U7X0ytJ/+OqrrxgwYACFhYUnXbT/9ddfM2jQIHJycqhWrRpfffUVV1xhWwW79IJ+13+ciMjPz6d3794O61ze1g6l9u3bR0xMjMNtGgCmTZvGa6+9xt69e0+674LfpiEiIoJbb72Vt956C5cTl+mWlJQwevRo/P39mTNnDvfeey/jx4/np59+qtBjjxw5stxtGVauXHlSbODAgQwcOLBC6yAiIhc3Hx/48ku48kr4+mt44gl48cXKrpWInC1vd29WDl1Z2dWQi1BeHtxyizkRoUcPeOUVbeMjIiIiIiKyct9K6ofWJ9LfXJp1Wq9puLm4XbD7youI8xqHNWbzfZvP2/FCfUIZGjv0jB8/ZcoUunXrxrhx4xzefybX6c+aNYtnn32WBQsWlDsRASA3NxdPT0+Huwd07dqVjRs3kpyczHvvvcdNN93EmjVr7PK99tpr9OjRw+5x48ePp7i42Ok6nw5vb29ycnJOXfAsnLOvzz744APGjBljnYgA4OLiwoMPPsiMGTOwWCyMHDmSP//881xVQURE5Ixs2gT3329eAfvhh2ZsyhT49NPKrZeIVLyikqLKroJcJB591Pz7EBYGn3yiiQgiIiIiIiJvrnmTrh935a6Fd1lP7vl5+GkigoicldTcVOb+NZfU3NQzevyVV15Jz549eeyxx066r379+mzbts3h40rj9cvu9wzMmTOHu+66iy+++OKkiQL/VKVKFXJycigoKDjpPl9fX+rWrUu7du344IMPcHNz44MPPrArExERQd26de1+/Ev3pD4HUlJSCAsLO3XBs3DOVkYoKipi+/btJzXY9u3brbM3vLy8HM4MERERqUzLl8P06bB+Pfz2G/z5J0yaBHfdBfXqwYmdf0TkImYYBjPWzeD5H59n+R3LaVClQWVXSS5gixbBm2+atz/+GAoLYft2aNDA3KpBRERE5Fz5dPOnfL3zawxOvoIvNjyWxzrZvmS/48s7yC/OZ9o10wj3Cwfgs82fsXDnQqeOWTuoNpN7TLb+/uC3D5KUk8R/uv6HeqH1AFi0YxGfbnFuxn6odyjv9H7H+vsTy59gd+puHm3/qHUp91X7VvHOH++Ul8Ihdxd3Pr3RVpcpP01hfeJ67m19L11jugKw4cgGXvzZ+eUOP77hY+tJ1elrp7Ny/0pubXor1ze8HoC/U/7m8R8edzqvozbqU68Pt7e4HYDknGQe+PYBp/M6aqMro67kgbZmroLiAm7/8nan8zpqo/L6nzMctVF5/c8ZjtqovP7nDEdtVF7/c0Z5beSo/znjfIwR3Wt3x8vNi5oBNSkoLsDTzdOpXCJycdhydAu9PuvF4sGLaRbe7Jwfb2/aXm6adxPrRqwj2Dv4jHK8+OKLxMbG0qCB/Xd+gwYN4tZbb2XRokX07dvX7r5XXnmF0NBQrrrqKmts9uzZDB8+nDlz5tC7d+9THrd0K4StW7c63BahrJKSEvLznfvbWdH+/PNPWrZseU6Pcc4mI9x+++3ceeedPP7449b9LtauXcukSZO44447AFi1ahVNmjQ5V1UQERE5I4MHw4YNcOLPFc8/D3/9BQsWwA03wNq1UKNGpVZRRM6SxWLh611fk5CZwBtr3rD7UkqkrMOHYdgw8/bYsdCrF4wfD1OnwsiRtkkKIiIiIhXJMAye+OEJJv80udwyGfkZPIbtROP8bfPJLsxmcnfbYzYf3cwXf33h1LFbV2vNZGw5vtn1DXvT9jK23VhrbMfxHU7nrRlQ0+5z97K9y/g94Xdub247Ob4/fb/Teb3cvPgU28ng1QdW882ub+hZpyddMU90J2YlOp0X4IPrbFcrrj28li/++oJWEa24HvNEd2pe6hnlddRGNQNqcjvma5FTmHNGeR21kaerJw9gnuguLik+o7yO2qi8/ucMR21UXv9zhqM2Kq//OcNRG5XX/5xRXhs56n/OOB9jROOwxuwcuZOagTWdyiEiF5cqPlXoXa83R7KOWCcjbD22FX8Pf2oG1iSvKI+tx7ZSL6Qe/p7+HM06SmJWIi0iWgCwI3kHXm5e1AqqRWFxIVuStlAnuA6BXoEcyz7GoYxDtKxmnhDfdXwXAZ4BpE9Ix9fd94zr3KxZMwYPHsy0adPs4oMGDWLu3LkMGTKEl156ie7du5ORkcHbb7/NwoULmTt3Lr6+5nFnzZrFkCFDeOONN4iLiyMxMREwtzYIDAx0eNywsDBatWrFTz/9ZJ2MkJ2dzQsvvMB1111HtWrVSE5O5u233yYhIYGBAwc6/dyysrLYvds2oW7v3r1s3LiRkJAQoqKiAHPFgwMHDnD48GEAduzYAZgrL0RERFgfu3r1ap5//nmn6+CMczYZ4bXXXiM8PJypU6dy9OhRAMLDw3nooYcYP348AFdffTXXXHPNuaqCiIjIGQkPh//9z/a7i4v5e4cOsGULXH89rF4NPj6VV0cROXtTe0zlqtpXcW+beyu7KnIBCwmBW2+FX34xV8kByM4GT084MedaREREpEIVlxRz3zf38d769wAYHTeauiF1TyoXFRhl9/srV79CYUkhod6h1tj1Da93+iRhmI/9Ur0Tu0wkIz+DWkG1rLHuMd15s5dzszL9PPzsfh8XP46j2UdpEma7WK1t9bZO53W1uNr9fm+be7mm7jW0q9HOGmsc1tjpvAAerh7W24ObDaZVtVbE14i3xqICo84or6M2io2ItcaCvYLPKK+jNmoQarsi1N3V/YzyOmqj8vqfMxy1UXn9zxmO2qi8/ucMR21UXv9zRnlt5Kj/OeN8jRGaiCBy6avmX41q/tUYvmA4h8YeAmDQvEF0ie7CtF7TOJRxiNYzWrNiyAq6RHfhk02fMPmnyaSMTwFg6IKhNAlrwvvXvU9yTjKtZ7Tm61u+pnf93nzx1xeM/X4s+U+aKwTc9819hPmGMbv/7LOu93PPPcfnn39uF7NYLHzxxRe8/vrrvPbaa9x///14eXkRHx/PypUr6dChg7XsjBkzKCoq4oEHHuCBB2wrFg0ZMoSPPvqo3OPeddddfPLJJ4wcORIAV1dXtm/fzscff0xycjKhoaFcccUVrF69+owu2v/jjz/o2rWr9fexY8eeVK+FCxcyrPTqGsxJGADPPPMMEydOBODXX38lPT2dAQMGOF0HZ1iM0o18KkhOTg4+/zg7k5FhflgICAioyENdMDIyMggMDCQ9Pf2SfY4iIgL79pknnpKT4aabYM4cLc8tInK5yM0Fb2/b73l5YBj2MREREZGzlVeUx+D5g5m/bT4uFhfe7f0ud7e+u7KrJSIiIpeBvLw89u7dS0xMDF5eXnb3Hck8QnJO8nlZGcHNxY2Y4Jjz++QrUG5uLg0aNODzzz8nPj7+1A+oJDfffDMtWrTg8ccdbzn1b/3BGRU+GcHHx4du3bpx3XXXcd1119kt9XCp0mQEEZFLU1ISzJoFcXFQ+pnhxx+hRw9zv/DnnoOnnqrcOopIxSgsLmRf2j7r/qoi+/ZBzZrg6nrKoiIiIiIVIjM/kxs+v4Ef9v6Ah6sHs/vP5sZGN1Z2tUREROQyUVEnnwVWrlxJZmYmffv2reyqOFRQUMDUqVN5+OGH8S7nSpuK6g8uZ/zIcmzfvp2ePXvyxRdfEB0dTVxcHC+88AJbtmyp6EOJiIicU88+Cw89BG+9ZYtdeSW8c2KLwaefhv/7v8qpm4hUnK3HttLknSb0/LQn+UX5lV0duQCkpUHnztCtG5zYDtCqYqdyi4iIiNhsSNzAj/t/xM/Dj8WDF2sigoiIiMhFqkuXLhfsRAQADw8PnnzyyXInIlSkCp+MEBUVxYMPPsiyZcs4evQoY8aMYcuWLXTq1InatWszZswYfvjhB4qLiyv60CIiIhVqyBBzW4Zu3ezjd90Fo0ebtzdsOP/1EpGKVSuwFlkFWexN28s7a9+p7OrIBWDTJkhJgYQE+McOdPToAb16wV9/VU7dRERE5NJ1Za0rmXXjLFYMWUG3mG6nfoCIiIiIyAWuwrdpKE9hYSErVqxg0aJFLFy4kMzMTN58800GDx58Pg5/TmmbBhGRy09REXz/PVx7rfn7tm2wYgXUqgW9e9vK/fe/4Oz8u+7doUED8/a+ffDttxAeDv3728p88glkZTmXt317iI01bycmwvz5EBAAt91mKzN3Lhw75lzeli1t21ikp8Nnn4G7O9xdZlvTRYvg4EHn8jZsaJsIUlAA779v3h4xAtzczNvLlsHOnc7lLa+Nbr8d/P3N2M8/mycjnVFeGw0YAFWrmrH16+G335zLW14b9ekDUVFmrLT/OaO8NnLU/5zlqI0c9T9nOWojR/2vrKpVzTaPijJvWyyOc3+w/gPuWnQXwV7BLBi0AA9Xj3LrEeoTSt2QugAYhsHvCb8D0DqyNW4u5hPfk7qHY9nOvZkCPANoFNbI+vsfh/+guKSY5uHN8XY3ZykfTD/I4czDTuX1cfex7ucHsClxE3lFeTQOa4y/p/mCJmYlsj9tv1N53V3daVWtlfX3v5L+Iqsgi3qh9QjxDgEgOSeZv1P+diovQFyNOOvtncd3kpqbSkxwDFV9zTdTel4625O3O53XURvVCKhB9YDqAGQXZJNblEsVnyrs3m2+h0v7LUBGBgQHQ0mJ+X6pUcPpKoiIiIjY+SvpL9xd3akfWr+yqyIiIiKXOW3TIGVVVH84b5MR/mnDhg0UFRVxxRVXVMbhK5QmI4iIyAcfmCsm9OljntQt5eUF+U6u+v7JJ+ZJVzBzXXcdxMXZn8SuWRMOHXIu78svw8MPm7d/+808gVu7Nvxd5jxh69bmCXNnjB8PL75o3v77b6hbF/z8IDPTVuaaa2DJEufyDh9uvq5g5ir9E5uba76uYL5On37qXN7y2ujAAfN1BfN1evVV5/KW10Z//GG+rmC+To895lze8tpo8WLzdQVb/3NGeW3kqP85y1EbOep/znLURo76X3k8Pc1JCaWTE0r/7dsXgoKLif1vLH8m/XnKetzS9BZm9Z8FQFFJEe7PuwOQ8mgKwd7BAIxYNIL31r/n1PPrHtOdZXcss/4ePCWYtLw0dozcYf1y+skfnuSF1S84lbd5eHM23WubXVP/zfrsStnF6mGr6RjVEYA3fnuDMUvGOJW3ml81Dj9smxjR8cOO/HzwZ+bfNJ9+jfoBMGvLLAbPd27ysavFlaKni6y/9/u8H19t/4r/9vkvI1qPAGDZnmVc9b+rnMoLjtvo+a7P8+SVTwLmRI12H7RjVNtRjO843jqpolRJCWzZAmvXOv+eExEREfmndYfXcdX/riLAM4Cfh/9snSApIiIiUhk0GUHKqqj+4FaBdQLgwIEDp1WuZcuWFX1oERGRc6KoCL77Dlq0sJ0I/afoaPMK+NKTzqVuvBEKC507XunV7gDVqpl569WzL9O7Nxw/7lze+mUutAkJMfOGh9uX6dHDPPntjGa2C67x9TXz/vOzSadOtivaT1ebNrbbbm5mXgCXMptMtW0LeXnO5S2vjcpuj9W8ue14p6u8NgoKssUaNHA+b3ltVDZe2v+cUV4bOep/znLURo76n7MctZGj/leqpMRchWH/fjh82Jx0smuX+VPW1q0QGurKf/v8l/4f3c2x9BwCAiAw0Ly/qAiOHLGVX/R5GFEPmbcNC7gOjAagWVMXXE6839PahFI9Phr3EwssZGSYKzf4+UJwiK1+CQm2vL8ujSDqSdvv2TdE4eoRRJcr3XA7MXEko2kwEZ2jre2XnQUpqeZrU6WK7bGHDkLpjOOdByPt2jWpVw1c/Qvpf4MnnslmLKteAFW7R+Pja/6emwvJyeDpAVXL9LXDh22rvRxPqmqXN7lbNVyrRDNiuA+jTzyv3ChfqlwTjd+J939BPhxNMt/T1arZHns0EQpOvHYWw9Uub0qHqrhWj+axh/35zx4zlh/uRXDf6JPayMUFqpf5Dv/YMfsx4p9t5Fo7mlcmBTLjxOojSe6F5N+Rx9RfpvLfdf/l0Q6PMjpuNL4e5gvj4mL+LWjRAhEREZGzVjOwJlV8qhDqE2pdCUtERERE5FJS4SsjuLq6Wm+XpraUWQ/XMAwsFgvFzq5ZfQHTyggiIpe2QYPg88/hmWdg4sTKro2InImCAvPE//795goL+/fbbs+fb64UAebWFe+/b65gMWmSGdu1y34yxenasMG2xP+kSfDEE+bV9O+dWDAhLc1c8t9ZS5bA1Vebt997z9wW4/rr4auvbGU8PJyfCPXpp1C6g9pXX0G/fuYKFr/8YitTvbo5IcEZr70GY8aYt3/5BTp0MFewKDspJDbW+a1RHLVRYKD5upa6+mpYutSZrAah8d9Q7bbH+fPYFgDCfcN56sqnuLv13f+6fYeIiIjImTiYfpAQ7xDr5EcRERGRyqKVEaSsC3abBjc3N2rUqMHQoUPp27cvbm6OF19ocQldTqTJCCIil7bZs2H0aHNZ+PHjK7s2InIu/f03pKZCRATUqGHG8vLgz1Pv3nCSxo3Bx8e8feSIORmiShVzJQswr+bfuNH5vPXq2VZtOHbMnFQRFGS/RcW6deDsp/yYGAgNNW+nppqvha8vNGpkK7Npk/OTHGrWtK3kkZUF27ebW2aUXdXir7/M1Ric4aiNXF2h7AJsO3eaq1I4o04dCAwqYfaW2Ty14in2pu0FoFZADM2PP8d9nW7hmqtdKTPfWkREROS0vf372/i4+zCs5bDKroqIiIiIHU1GkLIu2MkIiYmJfPzxx8ycOZO0tDRuu+027rzzThqV/RbzEqPJCCIil7bSE2/u7pVbDxEROb8Kigt4f/37PLfqOY5mHwXAI7UZ/3f/JHrX6223ApyIVL6jWUeZt3UeGxI3sDFxI6l5qaf1uOV3LCc6KBqAl395mel/TGdoi6E81fkpABKzEunwYQen6/PFgC9oHWnuDzVzw0z+s/o/XFf/Ol675jXAHGMave38dyXTe0/n6jrmEjkLti9g7Pdj6RjVkY9v+NhaJvbdWDILMp3K+0K3FxjUdBAAq/evZuiCoTSq0oivb/3aWqbbx93Yn77fqbwPxz/M/VfcD8DWY1vpO7sv4b7h/HKnbemdgXMHsv7IeqfyOmojdxd3to/cbi1z79f3snSPU0vklNtGG+7ZQICn+Z3P48sf5/O/Pncqb3lt5Kj/OaO8NnLU/5xRXhs56n/OKK+NHPU/ZzlqI0f9z1kVOUaUGCXsS9uHi8WF9SPW0yLi0rlYS0RERC5+/3by+UD6AZJzkh0+LtQ7lFpBtcgtzGVb8jbqh9bHz8OPQxmHSMpO+tdjxgTFEOwdzNGsoxzJOkJsRCwASdlJVPWtWiHPS85MRU1GcLxswVmIiIhg/PjxjB8/np9++omZM2cSFxdH48aNufPOO7nzzjtxKbuRsIiIyAVOkxBERC5PHq4e3H/F/QxpMYRH/m8a72+bQkHwFvrO7kv7mu15sfuLdKrVqbKrKXJZWn9kPUv/XkpsRCw96/YE4EjWEUYuHul0rsJi25IvKbkp7Endw/Hc49ZYcUkxe1L3OJ03vzjfejs9P509qXtIyrH/Iu5M8uYU5lhvZxVksSd1D3WC69iV2Ze2j/T8dKfyZubbJi/kFuWyJ3UP/h7+dmUOZhx0us5peWnW2wXFBexJ3UNeUZ5dmYSMBKfzOmojdxf7D+6JWYlO5y2vjUqMEmvsWPYxp/OW10aO+p8zymsjR/3PGeW1kaP+54zy2shR/3OWozZy1P+cdS7GiKevfJrm4c2drouIiIhIZTiQfoBGbzey+yxY1p0t7+T9695nT+oeWs9ozS/DfyG+Zjyv/voqr/322r/m/mLAFwxsMpDPtnzGxJUTyXgsg2PZx+j6cVcWD15MVGDUuXhK59ztt99Oo0aNePzxx8/7sSdMmEB2djZvvvnmeT+2IxW+MoIjR48e5ZZbbmHVqlUcO3aMkJCQc33I80orI4iIXD527jSXBS9del1ERC4fKbkpTP15Km+seYO8ojxqB9dmx8gduLm4kZSdxP9t/T/8Pf25rflt1sf839b/O+VVAP/UIqIF7Wu2ByAjP4PPNn+Gm4sbd7e+21rmm53fcCD9gFN5G1RpQLeYboB5YuX99e8DcFeru3B3NU8O/bD3B3Yk73Aqb1RgFL3r97b+/t669ygqKWJw88HWK1R/PfgrGxM3OpU3zDeMAY0HWH//dPOnZOZncmOjGwn3M/f+2Ji4kV8P/upU3vLa6Np611IrqBYA25O3s2LvCqfyltdGXWO60rBKQwD2p+3n213fOpUXHLdRuxrtaFnN3JektP85y1EbOep/znLURuX1v9N1JOsII9uOtF4Z89QPT/Gf1f9heOxwPrj+A8A80TjgiwE0D29Oy4iWRPpHntYKJi3CW+Dt7g2YX7IdzjxMhF+E9UroguICp6/aB2gS1gR/T/NE8ZHMI+xP30+odyj1QusB5onT3xN+dzpv/dD6hHib36sk5ySzO2U3gZ6BNAqzrbKwNmEtxUaxU3ljgmKs7ZaWl8b25O34uPvYnTDdmLjxpJPUp1IzoCbVA6oDkF2QzZakLbi7uFuv2gf4M+lPsgqynMrrqI0sWIirEWctsyN5x2mvkFGqvDZqE9kGNxfzmp49qXucHtvLayNH/c8Z5bWRo/7njPLayFH/c0Z5beSo/znLURs56n/OqugxoqpvVWoH13a6HiIiIiLnWnlXwq8/sp7WM1rzab9P7T7TlqrolRFKj7duxDpaVWt1WnUfOnQoH3/8MZMnT2bChAnW+FdffUW/fv0oezq8uLiYadOm8eGHH7Jr1y68vb1p164dTz75JB062Fa8mj9/PtOnT2fjxo3k5+fTpEkTJk6cSM+ePf+1Lps2baJbt27s378fPz8/ALp06cKqVasA8PT0JCoqimHDhjFhwgS7/7eOGjWKn3/+mT///JNGjRqx8R97vK5cuZLXXnuN33//nYyMDOrVq8cjjzzC4MGDrWWSk5OpXbs2GzdupHbtM//cecFu01DWL7/8wocffsjcuXNp0KABw4cPZ8SIEZfcygiajCAicnm49VaYPRs++QRuv72yayMiIpUlISOB5398ni7RXaxLSq9NWEvb99tSK7AW+8bss5Zt+15b1h5e61T+cfHjeOnqlwDzytmYN2LwdvMm5wnbFQi9Z/V2+qT2kBZD+OiGjwDzymrfSb4AZD2Wha+HeXvoV0P5eNPH5aVwqFfdXnw72FYX30m+5BTmsHf0XuuJmkeXPspLv7zkVN42kW1Ye7fttYt+PZr96ftZc9ca2lZvC8BLP7/Eo8sedSpveW309S1fWydVfLTxI4YtcG4v7/LaaOb1MxkaOxSAb3d9S+9ZvcvJUD5HbTSlxxQe7WA+99L+5yxHbeSo/znLURuV1/+cUbaNlu1Zxnvr3+PautcyJHaI07lERERERETEXnknnzPyM/j14K/E14y3Tmg/l850MsLnn3+Ol5cXe/bsITg4GDh5MoJhGNx0000sW7aMl156ie7du5ORkcHbb7/NzJkzmTt3LjfccAMAY8aMITIykq5duxIUFMTMmTN5+eWXWbNmDS1btiy3LnfddRdubm68++671liXLl2oX78+zz33HPn5+fzwww+MGDGCadOmcd9991nLjRo1igYNGrBmzRo2b9580mSESZMmkZubS69evQgPD+frr79m7NixLFiwgD59+ljLDRw4kOjoaF56ybnvYsq6YLdpOHLkCJ988gkzZ84kNTWVwYMH8/PPP9O0adOKPpSIiMh51bAhuLqaqyOIiMjl4/Bhc/wPNy/YpHpAdd7t865dmWDvYPo36k+YT5hdvFtMN6eXFGwW3sx628fdh/6N+uPh6mFXpkPNDni7eTuVt01kG+ttV4sr/Rv1N2+7uNqVcfbq5JYR9v8Bv6HhDeQX5ePjbltGqFnVZtbjna5/Lmneq24vjuUcI9gr2BqrH1rf6bzltVGEX4Q1ViuwltN5y2ujWoG1rLEIvwin84LjNqofWt8aK+1/znLURo76n7MctVF5/e90BXkF2e0X2qN2D3rU7uF03URERERERMQ5AZ4B1u3xLmQ9evRg9+7dTJ48malTpzos88UXXzBv3jwWLlxI3759rfEZM2Zw/Phx7rrrLq666ip8fX15/fXX7R47adIkFixYwKJFi8qdjFBcXMy8efP47LOTVxn08fEhIsL87mHYsGG89dZbLF261G4ywrRp0wA4duwYmzdvPinHP7d9GD16NN9//z3z58+3m4zQt29fnnjiibOajFBRKnxlBHd3d6pXr86QIUO47rrrcC9no+3mzS+dfdG0MoKIyOXh+HEoLISIiFOXFRGRS8fYsfDaa/DUU/Dcc5VdGxERERERERGRilfelfBHMo/w33X/5Z7W91DNv9o5r8eZroyQlpbGkCFDuPXWW9m1axc1atQ4aWWE66+/nu3bt7Njx8lbVP7yyy906NCBL7/80ro6QlklJSVER0fz6KOPMnLkSIf12LBhA61atSIxMZHw0qtaMFdGiI2N5fXXX8cwDH766SeuueYa+vbty5w5c07KM3HiRL766quTVkZwpGPHjrRr146XX37ZGtu+fTuNGjVi7969REdHnzKHIxW1MkKF75dQXFzMgQMHeP7552nbti0tW7YkNjbW7ufflq4QERG5UIWGaiKCiMjlKDHR/Ldx48qth4iIiIiIiIjI+Zack8z7698nOSe5sqtySv369SM2NpZnnnnG4f07d+6kUaNGDu8rje8sZ2nkl19+maysLG666aZyj79//35cXV2pWrXqSfe98847+Pn54enpyZVXXklJSQmjRo061VP6V1988QVr165l2DD7rSYjIyOt9alsFb5Nw969eys6pYiIyAUnKwt8fcFiqeyaiIjIuTZrFrz5JpzFJHARERERERERkYtSs/BmHBp7qLKrcdqmTJlCt27dGDdunMP7z2TTgFmzZvHss8+yYMEChxMNSuXm5uLp6YnFwYmDwYMH88QTT5CamsozzzxD+/btad++vdN1KbVixQqGDRvGe++9R5MmTezu8/Y2t/bMyck54/wVpcInI9SqZdsPMy8vj82bN5OUlERJSYk1brFY7MqJiIhcTB54AD7+GJYuhfj4yq6NiIicD6GhlV0DERERERERERE5lSuvvJKePXvy2GOPMXToULv76tevz7Zt2xw+rjRev359u/icOXO46667mDt3Lj169PjXY1epUoWcnBwKCgrw8PCwuy8wMJC6desC5ooGdevWpV27dqfM6ciqVavo27cvr732GnfcccdJ96ekpAAQFhbmdO6KVuGTEUp999133HHHHSQnn7xkh8Viobi4+FwdWkRE5JzKzITsbFi0SJMRREREREREREREROTSteXoFnp91ovFgxfTLLxZZVfntLz44ovExsbSoEEDu/igQYO49dZbWbRoEX379rW775VXXiE0NJSrrrrKGps9ezbDhw9nzpw59O7d+5THjY2NBWDr1q3W2474+fkxevRoxo0bx4YNGxyupFCelStX0qdPH6ZMmcKIESMclvnzzz9xd3c/acWEynDOJiM8+OCDDBw4kKeffprw8PBzdRgREZHzbvx4uPdeTUQQEbkcXHsthITA889DTExl10ZERERERERE5PwqLCkkITOBNQlrKCwpLLdcVGAUVXyqkJyTzIH0A7Sq1gqAHck7yC7M/tdjNK3aFA9XD/ak7sHX3Zf0Cen4uvuecZ2bNWvG4MGDmTZtml180KBBzJ07lyFDhvDSSy/RvXt3MjIyePvtt1m4cCFz587F19c87qxZsxgyZAhvvPEGcXFxJCYmAuYWCIGBgQ6PGxYWRqtWrfjpp5/+dTICwD333MPzzz/P//3f/zFgwAAAdu/eTVZWFomJieTm5rJx40YAGjdujIeHBytWrKBPnz6MHj2a/v37W+vk4eFBSEiINffq1avp1KmTdbuGymQxzmRjjNMQEBDAhg0bqFOnzrlIf0HJyMggMDCQ9PR0AgICKrs6IiIiIiJSAVJSoEoVMAxITATNsRYRERERERGRS1VeXh579+4lJiYGLy8va/xI5hEiX4085ePf6/sed7W6i/fXv8/di+7GeMY8BR3/QTy/HfrtXx978KGD1AiowcC5A8nIz2DJbUucqvvQoUNJS0vjq6++ssb27dtHgwYNKCgooOzp8KKiIl5//XU++ugjdu3ahZeXF/Hx8Tz11FN06NDBWq5Lly6sWrXqpGMNGTKEjz76qNy6TJ8+nU8++YRff/3VLldsbCyvv/66Xdl7772Xn376ic2bN+Pi4lLuMffu3Ut0dDRDhw7l448/Pun+zp07s3LlSuvvDRs2ZOLEiQwaNKjcep5Kef3BWedsMsLw4cPp0KEDd95557lIf0HRZAQRERERkUtPQQH8/DNs2gRjxlR2bUREREREREREzp1/O/l8JPMIR7KO/OvjK2plhOKSYuqF1ju7J1OJcnNzadCgAZ9//jnxlbC88uLFi3n44YfZvHkzbm5nvknCBT8ZIScnh4EDBxIWFkazZs1wd3e3u3/UqFHn4rCVQpMRREQuPyUlMHkyfPopLF8OkaeeGCoiIiIiIiIiIiIickGqqJPPAitXriQzM5O+ffue92PPmzePmjVrEhcXd1Z5Kqo/nPl0iFOYPXs233//PV5eXqxcuRKLxWK9z2KxXFKTEURE5PLj4gLffgvbt8OsWTBuXGXXSEREREREREREREREKluXLl0q7dgDBgyotGM7cs4mIzzxxBM8++yzTJgwARcXl3N1GBERkUrzxBNw7Bj071/ZNRERkYqWkgIffghdu0Lr1pVdGxERERERERERkYvPOZuMUFBQwM0336yJCCIicsm69lrb7U2bYN8+aNgQGjQwYwUFsHixefu666B0kaA//4S//4Z69aBxYzNWXAxff23LW7q70bZtsHMnxMRA8+a24y1YYP7bsyeUrpC0c6dZPioKWra0lf3mGygqgh49wNfXjO3ZA1u2QPXq0KaNrex330F+vnnyrXTnof37YeNGCA+Hdu1sZZcuhZwc6NQJQkLM2KFDsG4dVKkCHTrYyv7wA2RmQvv2EBZmxhITYc0aCA6GK6+0lf3xR0hNhbg4iIgwY8eOwS+/gL8/dOtmK/vzz5CcbJ4orFHDjKWkwOrV4OMDV11lK/vbb3D0KMTGQq1aZiwjA1asAE9PuOYaW9k//oCEBGjWDGrXNmPZ2bBsGbi5Qe/etrIbNsCBA9CoEdSvb8by8mDJEvP29dfbym7eDHv3muUaNTJjhYXmKhsAffqAq6t5e+tW2LUL6tSBpk3NmGHAwoXm7V69wMPDvL1jh7lKR3Q0tGhhO96iReaWIldfDd7eZmz3bvjrL/P1KnuC9dtvzbp062a+zmDWdfNmqFYN2ra1lV2yxHyOnTtDUJAZO3gQ1q+HqlWh7FZoy5dDVhZ07AihoWbs8GFYu9bsN5062cquXAnp6WY/Cw83Y0ePmm0XGAhlJxSvXm229RVX2LZJOX4cfvoJ/Pyge3dEzsrKlfDII9CkiTlui4iIiIiIiIhcDgzDqOwqyAWgwvqBcY6MGTPGeOGFF85VeoeOHz9u3HrrrYa/v78RGBhoDB8+3MjMzPzX8iNHjjTq169veHl5GTVr1jQefPBBIy0tzanjpqenG4CRnp5+tk9BREQuUvfcYxhgGM89Z4slJ5sxMIyiIlt87FgzNn68LZabayubkWGLP/mkGRs50v54Li5m/MgRW2zyZDM2fLh9WT8/M757ty02bZoZu/lm+7Lh4WZ882Zb7P33zVifPvZla9c247/+aovNnm3GunWzL9u0qRlftswWW7jQjMXF2ZeNizPjCxfaYsuWmbGmTe3LdutmxmfPtsV+/dWM1a5tX7ZPHzP+/vu22ObNZiw83L7szTeb8WnTbLHdu82Yn5992eHDzfjkybbYkSNmzMXFvuzIkWb8ySdtsYwMW9vn5tri48ebsbFjbbGiIlvZ5GRb/LnnzNg999gfz9PTjB84YIu9/LIZu+02+7IhIWZ82zZbbPp0M3bjjfZla9Qw43/8YYt98okZ69nTvmyDBmb8xx9tsXnzzFjHjvZlW7Uy44sX22KLF5uxVq3sy3bsaMbnzbPFfvzRjDVoYIictR9+MIy+fQ3jsccquyYiIiIiIiIiIudeUVGRsXXrViO57BePctlKS0sztm7dahQUFJxVnnO2MkJxcTFTp05lyZIlNG/eHPfSSzxPePXVVyv8mIMHD+bIkSMsXbqUwsJChg0bxogRI5g1a5bD8ocPH+bw4cO8/PLLNG7cmP3793Pvvfdy+PBh5s2bV+H1ExGRS1ft2ubV4KVX54N5BX3ZK8RL1aplxqOibDGLxVa27KJCNWua8ZgY+xzx8eYV72X/vFavbsbr1LEvGxdnrmDg6WmLRUSYZUuv5C/Vpo15tbmPjy1WeqV7w4b2ZVu1Mq9e9/OzxUJDzbKlKz6UatHCvNo+MNAWCw42yzZpYl+2WTPzNQgOtsUCA82ypasUlGrcGHJzbVfcg1mf+Hjz9SirYUPzyvmqVW0xHx+zbOnKDqXq1zfjpSszgPn6xcfbvzZgvt7/PJ67uxn75wJRMTFmvGZNW8zFxdb2patngNk/4uNtqziUKi3rVuZTXI0ajl+fdu3MFTpKV1AAcxWB+HioW9e+7BVXmCtFlK6gAGb7xsfbVvso1bq1+RxKV9oAc8WL+Hjbig+lYmPN17d0tQUwf4+Pt634UKp5c/N1Ll1tAczbjurQtKm5okjZtvP3P/m9lZEBTz0FL7xg31dFTqVrV/NHRERERERERORy4OrqSlBQEElJSQD4+PhgKfuFpVw2SkpKOHbsGD4+Pri5nd10AothnJu1Nrr+yzd3FouFH374oUKPt23bNho3bszatWtpc2K96e+++45rr72WQ4cOEVm6fu8pzJ07l9tuu43s7OzTfnEzMjIIDAwkPT2dgNI1rUVERESk0l19tbmlSP/+oLmmIiIiIiIiIiIi5TMMg8TERNLS0iq7KlLJXFxciImJwaPslW5n4JytjLBixYpzldqhX3/9laCgIOtEBIAePXrg4uLCmjVr6Nev32nlKZ1Q8G8TEfLz88nPz7f+npGRceYVFxEREZFz5vnn4e+/4fHHK7smcjE5dsxc+eOfK6GIiIiIiIiIiFzKLBYL1apVo2rVqhQWFlZ2daQSeXh44PLPpX/PwDmbjHC+JSYmUrXsusuAm5sbISEhJCYmnlaO5ORknn/+eUaMGPGv5SZPnsyzzz57xnUVERERkfMjLg62b7ff0kTkVJ59FmbMgClT4KGHKrs2IiIiIiIiIiLnl6urK66urpVdDbkEnP10hnNswoQJWCyWf/3Zvn37WR8nIyOD3r1707hxYyZOnPivZR977DHS09OtPwcPHjzr44uIiIjIuVF2IsKePfDqq5VXF7k4bN8OhYVQq1Zl10REREREREREROTidcGvjPDwww8zdOjQfy1Tu3ZtIiIiSEpKsosXFRWRkpJCRETEvz4+MzOTa665Bn9/f7788kvcT3HpnKenJ56enqdVfxERERG5MKSlQceOcOSIuQT/PfdUdo3kQrV0qbm9xyn+GyEiIiIiIiIiIiL/4oKfjBAWFkZYWNgpy8XHx5OWlsa6deto3bo1AD/88AMlJSXExcWV+7iMjAx69uyJp6cnCxcuxMvLq8LqLiIiIiIXjqAgGD0aZs2C666r7NrIhcxigbp1K7sWIiIiIiIiIiIiFzeLYRhGZVeiovTq1YujR4/y7rvvUlhYyLBhw2jTpg2zZs0CICEhge7du/PJJ5/Qtm1bMjIyuPrqq8nJyeHLL7/E19fXmissLOy090LJyMggMDCQ9PR0AgICzslzExEREZGKkZsL3t6VXQsRERERERERERGRS9sFvzKCMz777DNGjhxJ9+7dcXFxoX///kybNs16f2FhITt27CAnJweA9evXs2bNGgDq/uPSp7179xIdHX3e6i4iIiIi50fZiQgrV0JJCXTrVmnVkQvMjTdCjRowYQJERlZ2bURERERERERERC5el9TKCJVFKyOIiIiIXHx++w26dAF3d/j1V2jatLJrJJXt6FGIiDC3aTh2DEJDK7tGIiIiIiIiIiIiF69LamUEEREREZHT1bIldOwIfn7wj0Wy5DLl5wdz58KOHZqIICIiIiIiIiIicra0MkIF0MoIIiIiIhen7Gzw9AQ3TdEVERERERERERERqVD62lVERERELlu+vva/v/ceGAaMGGGLLVoE+/ZB9+7QuLEZO3YM5swxHz98uK3s4sWwezd07gzNm5uxtDT43//AwwPuucdWdtky2LYN2reH1q3NWFYWzJxpbhMwcqSt7MqVsGULtG0LcXFmLD8fZswwb99/P7i6mrd//hnWr7et/ABQUgJvv23evvtu8PIyb69ZA7//Ds2amVtWlHr7bfMxw4aZqwWAmfPnn6FhQ7jqKlvZGTPMutx2GwQHm7HNm2HVKqhTB6691lb2ww/NCSCDBkFYmBnbts18LWrVguuus5X93//M165/f4iMNGO7d5uvcWSkGS81ezYkJ8P110NUlBnbt89su6pV4eabbWXnzYMjR8x61aljxhISYP58s/633YaIiIiIiIiIiIhUAK2MUAG0MoKIiIjIxW/6dPOkfp065knvUn36wDffmCfShw0zY5s2QWwsVKsGhw/byt50k7nM/5tv2iYT7N4N9epBQACkp9vKDhsGH30EU6bAo4+ascOHoXp1c2JBUZGt7MiR5gSBp5+GZ581Y+npEBRk3s7PNyc7gJnrpZfg4Yfh5ZfNWFERuLubt1NSbJMGnn0WJk6E++6Dd96xHc/DAwoL4eBBqFHDjL38MjzyCNxxB3z8sa1scLA5aWDHDqhf34y98w488IA5YWDePFvZGjXME/+lkyXAzDV0KPTqBd9+aytbvz7s2gWrV9smVcybBwMHwpVXmpMdSrVsCRs3wpIlcPXVZuzbb6F3b3Oixx9/2Mp27GhOqpg/H/r1M2OrVpmTMRo1gq1bERERERERERERkQqglRFERERERICePc2VCzw97eOdOpmrA8TE2GJBQebV9qUn9Uu1bw8uLubkg1J+fmZZb2/7sm3bQm6uudJAKS8vs6yLi33ZVq3MeNOmtpi7u+2K/7LlW7Qw47GxtpjFYitbOikBoEkTM166MkOpgQOhuNi+zg0amGVLV2YodeON5moH/v62WN26jsted505GaJ0EgVAdPTJ9QVz5YLERKhSxRarUcMs26iRfdmePc36RUTYYtWqmWVr17Yv2727mad6dVssLMwsWzYmIiIiIiIiIiIiZ0crI1QArYwgIiIiIiIiIiIiIiIiIiJi43LqIiIiIiIiIiIiIiIiIiIiIiKnT5MRREREREREREREREREREREpEK5VXYFLgWlO11kZGRUck1ERERERERERERERERERETOLX9/fywWy7+W0WSECpCZmQlAzZo1K7kmIiIiIiIiIiIiIiIiIiIi51Z6ejoBAQH/WsZilF7WL2espKSEw4cPn9bsDzlzGRkZ1KxZk4MHD56yY4vIpUdjgMjlTWOAyOVNY4DI5U1jgMjlS+9/kcubxgCRy5vGgAufVkY4T1xcXKhRo0ZlV+OyERAQoEFH5DKmMUDk8qYxQOTypjFA5PKmMUDk8qX3v8jlTWOAyOVNY8DFzaWyKyAiIiIiIiIiIiIiIiIiIiKXFk1GEBERERERERERERERERERkQqlyQhy0fD09OSZZ57B09OzsqsiIpVAY4DI5U1jgMjlTWOAyOVNY4DI5Uvvf5HLm8YAkcubxoBLg8UwDKOyKyEiIiIiIiIiIiIiIiIiIiKXDq2MICIiIiIiIiIiIiIiIiIiIhVKkxFERERERERERERERERERESkQmkygoiIiIiIiIiIiIiIiIiIiFQoTUYQERERERERERERERERERGRCqXJCHLRePvtt4mOjsbLy4u4uDh+//33yq6SiFSwyZMnc8UVV+Dv70/VqlW54YYb2LFjh12ZvLw8HnjgAUJDQ/Hz86N///4cPXq0kmosIufSiy++iMViYcyYMdaYxgCRS1tCQgK33XYboaGheHt706xZM/744w/r/YZh8PTTT1OtWjW8vb3p0aMHu3btqsQai0hFKS4u5qmnniImJgZvb2/q1KnD888/j2EY1jIaA0QuHT/++CN9+/YlMjISi8XCV199ZXf/6bzfU1JSGDx4MAEBAQQFBXHnnXeSlZV1Hp+FiJypfxsDCgsLGT9+PM2aNcPX15fIyEjuuOMODh8+bJdDY4DIxelUnwHKuvfee7FYLLz++ut2cb3/Ly6ajCAXhc8//5yxY8fyzDPPsH79elq0aEHPnj1JSkqq7KqJSAVatWoVDzzwAL/99htLly6lsLCQq6++muzsbGuZhx56iEWLFjF37lxWrVrF4cOHufHGGyux1iJyLqxdu5b//ve/NG/e3C6uMUDk0pWamkqHDh1wd3dn8eLFbN26lVdeeYXg4GBrmalTpzJt2jTeffdd1qxZg6+vLz179iQvL68Say4iFWHKlClMnz6dt956i23btjFlyhSmTp3Km2++aS2jMUDk0pGdnU2LFi14++23Hd5/Ou/3wYMH89dff7F06VK+/vprfvzxR0aMGHG+noKInIV/GwNycnJYv349Tz31FOvXr2f+/Pns2LGD6667zq6cxgCRi9OpPgOU+vLLL/ntt9+IjIw86T69/y8uFqPsFHORC1RcXBxXXHEFb731FgAlJSXUrFmTBx98kAkTJlRy7UTkXDl27BhVq1Zl1apVXHnllaSnpxMWFsasWbMYMGAAANu3b6dRo0b8+uuvtGvXrpJrLCIVISsri1atWvHOO+/wn//8h9jYWF5//XWNASKXuAkTJvDzzz+zevVqh/cbhkFkZCQPP/ww48aNAyA9PZ3w8HA++ugjBg0adD6rKyIVrE+fPoSHh/PBBx9YY/3798fb25tPP/1UY4DIJcxisfDll19yww03AKf3N3/btm00btyYtWvX0qZNGwC+++47rr32Wg4dOuTwxIWIXJj+OQY4snbtWtq2bcv+/fuJiorSGCByiSjv/Z+QkEBcXBxLliyhd+/ejBkzxrpyqt7/Fx+tjCAXvIKCAtatW0ePHj2sMRcXF3r06MGvv/5aiTUTkXMtPT0dgJCQEADWrVtHYWGh3XjQsGFDoqKiNB6IXEIeeOABevfubfdeB40BIpe6hQsX0qZNGwYOHEjVqlVp2bIl7733nvX+vXv3kpiYaDcGBAYGEhcXpzFA5BLQvn17li9fzs6dOwHYtGkTP/30E7169QI0BohcTk7n/f7rr78SFBRkPQkB0KNHD1xcXFizZs15r7OInFvp6elYLBaCgoIAjQEil7KSkhJuv/12HnnkEZo0aXLS/Xr/X3zcKrsCIqeSnJxMcXEx4eHhdvHw8HC2b99eSbUSkXOtpKSEMWPG0KFDB5o2bQpAYmIiHh4e1v94lAoPDycxMbESaikiFW3OnDmsX7+etWvXnnSfxgCRS9uePXuYPn06Y8eO5fHHH2ft2rWMGjUKDw8PhgwZYn2fO/p/gcYAkYvfhAkTyMjIoGHDhri6ulJcXMwLL7zA4MGDATQGiFxGTuf9npiYSNWqVe3ud3NzIyQkRGOCyCUmLy+P8ePHc8sttxAQEABoDBC5lE2ZMgU3NzdGjRrl8H69/y8+mowgIiIXpAceeIA///yTn376qbKrIiLnycGDBxk9ejRLly7Fy8ursqsjIudZSUkJbdq0YdKkSQC0bNmSP//8k3fffZchQ4ZUcu1E5Fz74osv+Oyzz5g1axZNmjRh48aNjBkzhsjISI0BIiIil6nCwkJuuukmDMNg+vTplV0dETnH1q1bxxtvvMH69euxWCyVXR2pINqmQS54VapUwdXVlaNHj9rFjx49SkRERCXVSkTOpZEjR/L111+zYsUKatSoYY1HRERQUFBAWlqaXXmNByKXhnXr1pGUlESrVq1wc3PDzc2NVatWMW3aNNzc3AgPD9cYIHIJq1atGo0bN7aLNWrUiAMHDgBY3+f6f4HIpemRRx5hwoQJDBo0iGbNmnH77bfz0EMPMXnyZEBjgMjl5HTe7xERESQlJdndX1RUREpKisYEkUtE6USE/fv3s3TpUuuqCKAxQORStXr1apKSkoiKirJ+N7h//34efvhhoqOjAb3/L0aajCAXPA8PD1q3bs3y5cutsZKSEpYvX058fHwl1kxEKpphGIwcOZIvv/ySH374gZiYGLv7W7dujbu7u914sGPHDg4cOKDxQOQS0L17d7Zs2cLGjRutP23atGHw4MHW2xoDRC5dHTp0YMeOHXaxnTt3UqtWLQBiYmKIiIiwGwMyMjJYs2aNxgCRS0BOTg4uLvZfU7m6ulJSUgJoDBC5nJzO+z0+Pp60tDTWrVtnLfPDDz9QUlJCXFzcea+ziFSs0okIu3btYtmyZYSGhtrdrzFA5NJ0++23s3nzZrvvBiMjI3nkkUdYsmQJoPf/xUjbNMhFYezYsQwZMoQ2bdrQtm1bXn/9dbKzsxk2bFhlV01EKtADDzzArFmzWLBgAf7+/tY9ngIDA/H29iYwMJA777yTsWPHEhISQkBAAA8++CDx8fG0a9eukmsvImfL39+fpk2b2sV8fX0JDQ21xjUGiFy6HnroIdq3b8+kSZO46aab+P3335kxYwYzZswAwGKxMGbMGP7zn/9Qr149YmJieOqpp4iMjOSGG26o3MqLyFnr27cvL7zwAlFRUTRp0oQNGzbw6quvMnz4cEBjgMilJisri927d1t/37t3Lxs3biQkJISoqKhTvt8bNWrENddcw9133827775LYWEhI0eOZNCgQURGRlbSsxKR0/VvY0C1atUYMGAA69ev5+uvv6a4uNj6HWFISAgeHh4aA0QuYqf6DPDPyUfu7u5ERETQoEEDQJ8BLkqGyEXizTffNKKiogwPDw+jbdu2xm+//VbZVRKRCgY4/Jk5c6a1TG5urnH//fcbwcHBho+Pj9GvXz/jyJEjlVdpETmnOnfubIwePdr6u8YAkUvbokWLjKZNmxqenp5Gw4YNjRkzZtjdX1JSYjz11FNGeHi44enpaXTv3t3YsWNHJdVWRCpSRkaGMXr0aCMqKsrw8vIyateubTzxxBNGfn6+tYzGAJFLx4oVKxz+/3/IkCGGYZze+/348ePGLbfcYvj5+RkBAQHGsGHDjMzMzEp4NiLirH8bA/bu3Vvud4QrVqyw5tAYIHJxOtVngH+qVauW8dprr9nF9P6/uFgMwzDO07wHERERERERERERERERERERuQy4nLqIiIiIiIiIiIiIiIiIiIiIyOnTZAQRERERERERERERERERERGpUJqMICIiIiIiIiIiIiIiIiIiIhVKkxFERERERERERERERERERESkQmkygoiIiIiIiIiIiIiIiIiIiFQoTUYQERERERERERERERERERGRCqXJCCIiIiIiIiIiIiIiIiIiIlKhNBlBRERERERERC4oK1euxGKxkJaWVtlVEREREREREZEzZDEMw6jsSoiIiIiIiIjI5atLly7Exsby+uuvA1BQUEBKSgrh4eFYLJbKrZyIiIiIiIiInBG3yq6AiIiIiIiIiEhZHh4eREREVHY1REREREREROQsaJsGEREREREREak0Q4cOZdWqVbzxxhtYLBYsFgsfffSR3TYNH330EUFBQXz99dc0aNAAHx8fBgwYQE5ODh9//DHR0dEEBwczatQoiouLrbnz8/MZN24c1atXx9fXl7i4OFauXFk5T1RERERERETkMqOVEURERERERESk0rzxxhvs3LmTpk2b8txzzwHw119/nVQuJyeHadOmMWfOHDIzM7nxxhvp168fQUFBfPvtt+zZs4f+/fvToUMHbr75ZgBGjhzJ1q1bmTNnDpGRkXz55Zdcc801bNmyhXr16p3X5ykiIiIiIiJyudFkBBERERERERGpNIGBgXh4eODj42PdmmH79u0nlSssLGT69OnUqVMHgAEDBvC///2Po0eP4ufnR+PGjenatSsrVqzg5ptv5sCBA8ycOZMDBw4QGRkJwLhx4/juu++YOXMmkyZNOn9PUkREREREROQypMkIIiIiIiIiInLB8/HxsU5EAAgPDyc6Oho/Pz+7WFJSEgBbtmyhuLiY+vXr2+XJz88nNDT0/FRaRERERERE5DKmyQgiIiIiIiIicsFzd3e3+91isTiMlZSUAJCVlYWrqyvr1q3D1dXVrlzZCQwiIiIiIiIicm5oMoKIiIiIiIiIVCoPDw+Ki4srNGfLli0pLi4mKSmJTp06VWhuERERERERETk1l8qugIiIiIiIiIhc3qKjo1mzZg379u0jOTnZurrB2ahfvz6DBw/mjjvuYP78+ezdu5fff/+dyZMn880331RArUVERERERETk32gygoiIiIiIiIhUqnHjxuHq6krjxo0JCwvjwIEDFZJ35syZ3HHHHTz88MM0aNCAG264gbVr1xIVFVUh+UVERERERESkfBbDMIzKroSIiIiIiIiIiIiIiIiIiIhcOrQygoiIiIiIiIiIiIiIiIiIiFQoTUYQERERERERERERERERERGRCqXJCCIiIiIiIiIiIiIiIiIiIlKhNBlBREREREREREREREREREREKpQmI4iIiIiIiIiIiIiIiIiIiEiF0mQEERERERERERERERERERERqVCajCAiIiIiIiIiIiIiIiIiIiIVSpMRREREREREREREREREREREpEJpMoKIiIiIiIiIiIiIiIiIiIhUKE1GEBERERERERERERERERERkQqlyQgiIiIiIiIiIiIiIiIiIiJSoTQZQURERERERERERERERERERCrU/wO5BmSpU7pvmAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "comm_plots.plot_organism_uptake_data(plot_data_50_leu, title='3H11/R12 Exchange rates 50% mATM to Leucine')" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "e2062fd2-81ad-426f-b268-0c449c10dc43", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "%run analysis.py" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "e77db98d-6ab9-4305-a710-b94bbfb5d118", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cpd00106_e0 Fumarate [e0] cA;e0 0.05024813621420463\n", + "cpd00106_e0 Fumarate [e0] cR;e0 -0.05024813621420463\n", + "\t total Fumarate [e0] 0.0\n", + "cpd00075_e0 Nitrite [e0] cR;e0 7.2976561006926985e-06\n", + "cpd00075_e0 Nitrite [e0] cA;e0 0.16031105624841363\n", + "\t total Nitrite [e0] 0.1603183539\n", + "cpd00036_e0 Succinate [e0] cA;e0 -0.0001757917097127821\n", + "cpd00036_e0 Succinate [e0] cR;e0 0.0001757917097127821\n", + "\t total Succinate [e0] 0.0\n", + "cpd00209_e0 Nitrate [e0] cR;e0 -7.2976561006926985e-06\n", + "cpd00209_e0 Nitrate [e0] cA;e0 -0.16031105624841363\n", + "\t total Nitrate [e0] -0.1603183539\n", + "cpd00029_e0 Acetate [e0] cR;e0 0.02601553895952209\n", + "cpd00029_e0 Acetate [e0] cA;e0 -0.10317384995952208\n", + "\t total Acetate [e0] -0.077158311\n", + "cpd00020_e0 Pyruvate [e0] cA;e0 -0.006105946560650522\n", + "cpd00020_e0 Pyruvate [e0] cR;e0 0.006105946560650522\n", + "\t total Pyruvate [e0] 0.0\n", + "cpd00363_e0 Ethanol [e0] cA;e0 -0.06506453496781739\n", + "cpd00363_e0 Ethanol [e0] cR;e0 0.06506453496781739\n", + "\t total Ethanol [e0] 0.0\n", + "cpd00071_e0 Acetaldehyde [e0] cR;e0 -0.06279165741615607\n", + "cpd00071_e0 Acetaldehyde [e0] cA;e0 0.06279165741615607\n", + "\t total Acetaldehyde [e0] 0.0\n", + "cpd01981_e0 5-Methylthio-D-ribose [e0] cA;e0 1.2162760167821002e-06\n", + "\t total 5-Methylthio-D-ribose [e0] 1.2163e-06\n" + ] + } + ], + "source": [ + "exclude = {\n", + " 'cpd00067_e0', 'cpd00058_e0', 'cpd00239_e0', 'cpd00081_e0',\n", + " 'cpd00001_e0', 'cpd00013_e0', 'cpd00205_e0', 'cpd00009_e0',\n", + " 'cpd10515_e0', 'cpd00254_e0', 'cpd00034_e0', 'cpd00149_e0',\n", + " 'cpd00063_e0', 'cpd00099_e0', 'cpd00030_e0', 'cpd00048_e0',\n", + " 'cpd00305_e0', 'cpd00047_e0', 'cpd00011_e0'\n", + "}\n", + "model_comm_io(model_comm2, solution_array[1]['solution'], exclude)" + ] + }, + { + "cell_type": "markdown", + "id": "80f352d4-ac48-40c7-883d-2901abfab942", + "metadata": { + "tags": [] + }, + "source": [ + "We can see Acetaldehyde Ethanol Acetate Fumarate Succinate Pyruvate been exchanged between the models\n", + "\n", + "R12 --> Acetate --> 3H11 \n", + "\n", + "R12 --> Ethanol --> 3H11\n", + "\n", + "R12 <-- Acetaldehyde <-- 3H11\n", + "\n", + "We will block the ability to excrete Acetate and block uptake for Ethanol and Acetaldehyde" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "e1cbc377-a5d3-40ed-ba42-8acbf7f75361", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "model_comm2.reactions.rxn05488_cR.bounds = (0, 1000)\n", + "model_comm2.reactions.rxn05488_cR.bounds = (0, 1000)\n", + "model_comm2.reactions.rxn08032_cA.bounds = (0, 1000)\n", + "model_comm2.reactions.rxn08032_cR.bounds = (0, 1000)\n", + "model_comm2.reactions.rxn08428_cA.bounds = (0, 1000)\n", + "model_comm2.reactions.rxn08428_cR.bounds = (0, 1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "781b6fa2-342b-429e-a943-abb27585bcca", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "monitor = {\n", + " 'acetate': 'cpd00029_e0',\n", + " 'no3': 'cpd00209_e0',\n", + " 'no2': 'cpd00075_e0',\n", + " 'no': 'cpd00418_e0',\n", + " 'n2o': 'cpd00659_e0',\n", + " 'n2': 'cpd00528_e0',\n", + " 'leu': 'cpd00107_e0',\n", + " \n", + " 'pyr': 'cpd00020_e0',\n", + " 'for': 'cpd00047_e0',\n", + " 'succ': 'cpd00036_e0',\n", + " 'fum': 'cpd00106_e0',\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "e10c87a8-81ce-43be-8419-2cfff4614149", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 GROWTH 0 ATPM, exceess 0.00018710323799890112 0.00018311819799890112\n", + "0 MAX isolate ATPM 0.028253554797059186 0.028264750187804423\n", + "1 GROWTH 0 ATPM, exceess 0.00181287191561189 0.00176886101561189\n", + "1 MAX isolate ATPM 0.326342821406569 0.28193590311789457\n", + "2 GROWTH 0 ATPM, exceess 0.00296525683335289 0.00292727353335289\n", + "2 MAX isolate ATPM 0.4936864659946487 0.4665252512485685\n", + "3 GROWTH 0 ATPM, exceess 0.0008420868425733754 0.0008246068425733754\n", + "3 MAX isolate ATPM 0.1094921589521533 0.10949171582289213\n", + "4 GROWTH 0 ATPM, exceess 0.000794317385181797 0.0007855273851817971\n", + "4 MAX isolate ATPM 0.09911162981557199 0.09911102644661317\n", + "5 GROWTH 0 ATPM, exceess 0.00028912378713418754 0.00028061278713418754\n", + "5 MAX isolate ATPM 0.04175351298850642 0.041771238782689554\n", + "6 GROWTH 0 ATPM, exceess 7.4284531941559484e-06 8.890363194155948e-06\n", + "6 MAX isolate ATPM 0.0007191215624999998 0.0007181217410714286\n", + "Acetate: -0.00796337 NO3 -0.015765185 NO2 -0.000300664 min community biomass 3.98504e-06 mATP 3H11 0.011301421918823676\n", + "Found solution mATP R12 0.016898212555758067 solution status optimal\n", + "Acetate: -0.077158311 NO3 -0.260613674 NO2 0 min community biomass 4.40109e-05 mATP 3H11 0.1305371285626276\n", + "Found solution mATP R12 0.17627469306978785 solution status optimal\n", + "Acetate: -0.126205391 NO3 -0.336007637 NO2 0 min community biomass 3.79833e-05 mATP 3H11 0.1974745863978595\n", + "Found solution mATP R12 0.29620164868980464 solution status optimal\n", + "Acetate: -0.047720639 NO3 0 NO2 -0.112949487 min community biomass 1.748e-05 mATP 3H11 0.04379686358086132\n", + "Found solution mATP R12 0.06570254706220673 solution status optimal\n", + "Acetate: -0.044917204 NO3 -0.00050591 NO2 -0.100448798 min community biomass 8.79e-06 mATP 3H11 0.0396446519262288\n", + "Found solution mATP R12 0.05946566355943479 solution status optimal\n", + "Acetate: -0.0163845 NO3 0 NO2 -0.06937439 min community biomass 8.511e-06 mATP 3H11 0.016701405195402568\n", + "Found solution mATP R12 0.02506534165611449 solution status optimal\n", + "Acetate: -0.018624539 NO3 -0.00033594 NO2 0 min community biomass -1.46191e-06 mATP 3H11 0.00028764862499999994\n", + "Found solution mATP R12 0.0004314729374999999 solution status optimal\n", + "Biomass 3H11 0.0008575773279999989 Biomass R12 0.0013000459919999979 Biomass Total 0.002157623319999997 Time 141 Acetate 12.91198508635927 NO3 0.11462903200001467 NO2 0.5926385523946796 N2O 1.5172819522394776 N2 2.751226140563252\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "comm_plots = CommPlots(model_comm2)\n", + "atpm_max_cA_isolate, atpm_max_cR_isolate, time_steps, expected_growth_60R_40A, rates = comm_plots.constants()\n", + "model_comm2.reactions.ATPM_cA.lower_bound = 0\n", + "model_comm2.reactions.ATPM_cR.lower_bound = 0\n", + "solution_array = comm_plots.generate_solutions(cobra, rates, expected_growth_60R_40A)\n", + "solution_exp = comm_plots.generate_growth_gap_solutions(cobra, expected_growth_60R_40A, rates, solution_array)\n", + "exp_syncom = comm_plots.get_exp_syncom()\n", + "pred_syncom = comm_plots.generate_total_acc_data(time_steps, solution_exp)\n", + "plot_data_I = comm_plots.generate_organism_uptake_data(time_steps, solution_exp, monitor)\n", + "comm_plots.plot_organism_uptake_data(plot_data_I, title='3H11/R12 Exchange rates no Leucine')" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "d940d2e5-12ac-45ac-b05c-55d1e621a5e0", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "comm_plots.plot_total_acc(pred_syncom, exp_syncom)" + ] + }, + { + "cell_type": "markdown", + "id": "7bed52f5-7eaa-42da-9f40-c672bd15c3ae", + "metadata": { + "tags": [] + }, + "source": [ + "We can see that R12 is no longer producing Acetate but there is no uptake either. Lets see what carbon sources they are exchanging" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "d85c43f1-4d16-4ad7-9655-2c243fa3c597", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cpd00106_e0 Fumarate [e0] cA;e0 0.0497130439243808\n", + "cpd00106_e0 Fumarate [e0] cR;e0 -0.0497130439243808\n", + "\t total Fumarate [e0] 0.0\n", + "cpd00075_e0 Nitrite [e0] cR;e0 0.007309239269061858\n", + "cpd00075_e0 Nitrite [e0] cA;e0 0.13427521363624614\n", + "\t total Nitrite [e0] 0.1415844529\n", + "cpd00036_e0 Succinate [e0] cA;e0 -0.00016769664689503434\n", + "cpd00036_e0 Succinate [e0] cR;e0 0.00016769664689503434\n", + "\t total Succinate [e0] 0.0\n", + "cpd00659_e0 Nitrous oxide [e0] cR;e0 0.006390919750588489\n", + "\t total Nitrous oxide [e0] 0.0063909198\n", + "cpd00209_e0 Nitrate [e0] cR;e0 -0.020091078770238836\n", + "cpd00209_e0 Nitrate [e0] cA;e0 -0.13427521363624614\n", + "\t total Nitrate [e0] -0.1543662924\n", + "cpd00029_e0 Acetate [e0] cR;e0 -0.005794041919127427\n", + "cpd00029_e0 Acetate [e0] cA;e0 -0.07136426908087257\n", + "\t total Acetate [e0] -0.077158311\n", + "cpd00020_e0 Pyruvate [e0] cA;e0 -0.04038336584013636\n", + "cpd00020_e0 Pyruvate [e0] cR;e0 0.04038336584013636\n", + "\t total Pyruvate [e0] 0.0\n", + "cpd01981_e0 5-Methylthio-D-ribose [e0] cA;e0 1.1602675123102006e-06\n", + "\t total 5-Methylthio-D-ribose [e0] 1.1603e-06\n" + ] + } + ], + "source": [ + "model_comm_io(model_comm2, solution_array[1]['solution'], exclude)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "5fb8efc4-dfa2-453d-aef3-fb0d03de9a6c", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "colors = {\n", + " 'pyr': 'blue',\n", + " 'succ': 'orange',\n", + " 'fum': 'purple',\n", + "}\n", + "fig, ax_arr = plt.subplots(1, 1)\n", + "fig.set_size_inches(25.7, 8.27)\n", + "d = plot_data_I\n", + "_ax = ax_arr\n", + "for k, color in colors.items():\n", + " sns.lineplot(data=d[1], x='i', y=k, ax=_ax, color=color, linestyle=comm_plots.linestyle_3h11)\n", + " sns.lineplot(data=d[2], x='i', y=k, ax=_ax, color=color, linestyle=comm_plots.linestyle_r12)" + ] + }, + { + "cell_type": "markdown", + "id": "a20cbe63-7f82-42fa-8bbd-a3630949eb86", + "metadata": {}, + "source": [ + "We can see that 3H11 is providing fumarate as carbon source to R12. We will block and check next behavior" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "86f714ca-4951-4404-b661-24ad1211c998", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# fum\n", + "model_comm2.reactions.rxn05561_cR.bounds = (-1000, 0)\n", + "model_comm2.reactions.rxn05561_cA.bounds = (-1000, 0)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "a6d12d0d-ffa8-4df9-9b42-c4e647564fe1", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 GROWTH 0 ATPM, exceess 0.00017600606386170958 0.00017202102386170958\n", + "0 MAX isolate ATPM 0.028253847182977375 0.02376587463924424\n", + "1 GROWTH 0 ATPM, exceess 0.001705349696589219 0.001661338796589219\n", + "1 MAX isolate ATPM 0.32633503773439104 0.22892535968768418\n", + "2 GROWTH 0 ATPM, exceess 0.0027893861654096097 0.0027514028654096094\n", + "2 MAX isolate ATPM 0.49367328899977786 0.3790712785812422\n", + "3 GROWTH 0 ATPM, exceess 0.0008420868425733763 0.0008246068425733764\n", + "3 MAX isolate ATPM 0.10949406691900601 0.10949272552798239\n", + "4 GROWTH 0 ATPM, exceess 0.0007943173851817941 0.0007855273851817942\n", + "4 MAX isolate ATPM 0.09911138333127378 0.09911199665320303\n", + "5 GROWTH 0 ATPM, exceess 0.0002891237871341901 0.0002806127871341901\n", + "5 MAX isolate ATPM 0.04176962520883251 0.04176868326299718\n", + "6 GROWTH 0 ATPM, exceess 7.69352976819308e-06 9.15543976819308e-06\n", + "6 MAX isolate ATPM 0.0007191215624999996 0.0005877256754032257\n", + "Acetate: -0.00796337 NO3 -0.015765185 NO2 -0.000300664 min community biomass 3.98504e-06 mATP 3H11 0.01130153887319095\n", + "Found solution mATP R12 0.016807327306884605 solution status optimal\n", + "Acetate: -0.077158311 NO3 -0.260613674 NO2 0 min community biomass 4.40109e-05 mATP 3H11 0.13053401509375642\n", + "Found solution mATP R12 0.14770564538251443 solution status optimal\n", + "Acetate: -0.126205391 NO3 -0.336007637 NO2 0 min community biomass 3.79833e-05 mATP 3H11 0.19746931559991115\n", + "Found solution mATP R12 0.2572682921139303 solution status optimal\n", + "Acetate: -0.047720639 NO3 0 NO2 -0.112949487 min community biomass 1.748e-05 mATP 3H11 0.043797626767602404\n", + "Found solution mATP R12 0.06569794157994639 solution status optimal\n", + "Acetate: -0.044917204 NO3 -0.00050591 NO2 -0.100448798 min community biomass 8.79e-06 mATP 3H11 0.03964455333250952\n", + "Found solution mATP R12 0.0594691522248691 solution status optimal\n", + "Acetate: -0.0163845 NO3 0 NO2 -0.06937439 min community biomass 8.511e-06 mATP 3H11 0.016707850083533007\n", + "Found solution mATP R12 0.02505067653626429 solution status optimal\n", + "Acetate: -0.018624539 NO3 -0.00033594 NO2 0 min community biomass -1.46191e-06 mATP 3H11 0.00028764862499999983\n", + "Found solution mATP R12 0.0004076211975000003 solution status optimal\n", + "Biomass 3H11 0.0008575773279999989 Biomass R12 0.0013000459919999979 Biomass Total 0.002157623319999997 Time 141 Acetate 12.911993223001463 NO3 0.6132028955939737 NO2 -0.4054842313076311 N2O 1.767500181393028 N2 2.75078237146381\n" + ] + }, + { + "data": { + "image/png": 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f//7Ha6+9xjPPPMNLL73Eddddt8/n2lcf/dYaX+vll1/OuHHjmo1pnFixt1UNPB7PQa1pX+ekJTWLiIiIiIjI/tNkBBEREREREfld1NTUAHveHR9oOTk5bNu2jXPOOWefsY0fQI8YMYIXXniBe++994Cf9+6772bSpEk8++yzXHrppQecZ18yMzOpqKjgscce47777uPZZ5/lzjvvtL7ftWtXcnJyDspzrVixgnXr1vHWW29x5ZVXWu3Tp08/4JypqanMmjWL6upqv9URNmzY4BfXpUsXAIKDg/drxYiWmDJlCl26dOHjjz/2+wB9woQJfnF7+3C9pbXFx8dz9dVXc/XVV1NZWckpp5zCxIkT92sywr6kpqYCsHbtWqsugLq6OjZv3vyrz11SUhLR0dF4PJ595mpctaGsrMyv/eerMzRusZCTk3PQ+xZaVrOIiIiIiIjsvwO7FUJERERERERkL5pbzry+vp63336b8PBwevfuHYCq9u7LL78kOTnZWv1gX0499VQGDx7Ms88+i8vlOqDn/Mc//sFTTz3FX//6V2677bYDyrE/pkyZwgcffMDjjz/OvffeyyWXXML999/PunXrrJgLL7yQ5cuX88knn+xxfEvvpm+8A73pccYY/vWvfx3gK4CRI0dSX1/Pq6++arV5vV6ysrL84lq3bs2pp57Kyy+/zK5du/bIU1hYeMA1NPe6FixYwPz58/3iGidL/PzD9ZbUVlxc7Pe9qKgounXrRm1t7QHX31R6ejohISE899xzfq/n9ddfx+l07teknF/icDi48MIL+eijj5qd5NL0tTZOMvjuu++sNo/Hs8dWCccddxydO3fm2Wef3ePcHowVH1pSs4iIiIiIiOw/rYwgIiIiIiIiB9WNN95IeXk5p5xyCu3atSMvL4/33nuPNWvW8PTTT//qrQ3eeecdtm7dSnV1NeD7IPORRx4B4IorrrDu/HY6nTz//PMAzJ07F4AXXniBVq1a0apVK26++WYAvvjiC84+++y93tXenLvvvpuLLrqIN998kz/96U+A727ud955B8DaFqGxrtTUVK644goAPvnkE+655x66d+9Or169ePfdd/1yn3HGGSQnJ++zhu+//77ZyRD9+vWjX79+FBQUMH78eEaMGGG91hdeeIFZs2Zx1VVXMWfOHOx2O3fffTdTpkzhoosu4pprrmHgwIGUlJQwdepUXnrpJfr377/f56Vnz5507dqVu+66i9zcXGJiYvjoo48oLS3d7xw/N2bMGAYPHsyf//xnNmzYQM+ePZk6dSolJSWA/2oEWVlZnHzyyaSlpXH99dfTpUsX8vPzmT9/Pjt27GD58uUHVMO5557Lxx9/zPnnn88555zD5s2beemll+jduzeVlZVWXONkmw8++IAePXoQHx9P37596du3737X1rt3b0499VQGDhxIfHw8ixYtYsqUKVYf/lpJSUncd999PPTQQ5x11lmMHj2atWvX8uKLL3L88cdz+eWX71eeN954g6+//nqP9ttuu43HH3+cWbNmccIJJ3D99dfTu3dvSkpKWLJkCdnZ2Vbf9enThxNPPJH77ruPkpIS4uPjef/993G73X457XY7//73vznvvPMYMGAAV199NW3atGHNmjWsXLmSb7755lefl/2tWURERERERFrAiIiIiIiIiBxE//3vf016erpJTk42QUFBJi4uzqSnp5vPPvtsj9jhw4ebPn36NJtn8+bNBjD/+Mc/9jgGaPYxa9asPY5v7pGammqMMaasrMwEBQWZDz/8cI/nnzRpkgHMjz/+uMf3PB6P6dq1q+natatxu93GGGNmzZq11+cbPny4deyECRP2Gvfz19CcX3oewEyYMMEYY8wFF1xgoqOjzZYtW/yO/+yzzwxgnnjiCautuLjY3HzzzaZdu3YmJCTEtG/f3owbN84UFRX5PefkyZOb7aNJkyZZbatWrTLp6ekmKirKJCYmmuuvv94sX758j7hx48aZyMjIPV5f4/lpqrCw0Fx22WUmOjraxMbGmquuusrMnTvXAOb999/3i924caO58sorTUpKigkODjbt2rUz5557rpkyZcovnte9jTdjjPF6vebvf/+7SU1NNaGhoebYY48106ZNM+PGjbPGUqN58+aZgQMHmpCQEL/+2N/aHnnkETN48GDTqlUrEx4ebnr27GkeffRRU1dX94v17228Nvbdz8fVCy+8YHr27GmCg4NNcnKyGT9+vCktLf3F52j6PHt7bN++3RhjTH5+vsnMzDQdOnQwwcHBJiUlxZx++unmlVde8cu3ceNGk56ebkJDQ01ycrL561//aqZPn95szXPmzDFnnHGGiY6ONpGRkaZfv37m+eeft77f3NgBTGZm5h6vIzU11YwbN86vbX9rFhERERERkf1jM+YgrGcnIiIiIiIichj68MMP+eMf/0hRURGxsbGBLkda4NNPP+X8889nzpw5DB06NNDliIiIiIiIiMjP2ANdgIiIiIiIiEigtGrViueee04TEQ5xNTU1fl97PB6ef/55YmJiOO644wJUlYiIiIiIiIj8kqBAFyAiIiIiIiISKGeeeWagS5D9cMstt1BTU8NJJ51EbW0tH3/8MfPmzePvf/874eHhgS5PRERERERERJqhbRpERERERERE5JD2n//8h6effpoNGzbgcrno1q0b48eP5+abbw50aSIiIiIiIiKyF5qMICIiIiIiIiIiIiIiIiIiIgeVPdAFiIiIiIiIiIiIiIiIiIiIyJFFkxFERERERERERERERERERETkoNJkhIPAGEN5eTna8UJERERERERERERERERERESTEQ6KiooKYmNjqaioCHQpIiIiIiIiIiIiIiIiIiIiAafJCCIiIiIiIiIiIiIiIiIiInJQaTKCiIiIiIiIiIiIiIiIiIiIHFSajCAiIiIiIiIiIiIiIiIiIiIHlSYjiIiIiIiIiIiIiIiIiIiIyEGlyQgiIiIiIiIiIiIiIiIiIiJyUGkygoiIiIiIiIiIiIiIiIiIiBxUmowgIiIiIiIiIiIiIiIiIiIiB5UmI4iIiIiIiIiIiIiIiIiIiMhBpckIIiIiIiIiIiIiIiIiIiIiclBpMoKIiIiIiIiIiIiIiIiIiIgcVJqMICIiIiIiIiIiIiIiIiIiIgeVJiOIiIiIiIiIiIiIiIiIiIjIQaXJCCIiIiIiIiIiIiIiIiIiInJQBQW6ABERERGRQ0Hh6kK+uuUr6irq/NqH3D2E3mN7A7Bz0U6+zPySVp1bMfb9sVbMlIunULalrEXPd9z1x3HcdccBULqplI8u/YiwuDAu//pyK2ban6aRtzSvRXl7je3F0LuHAlBTUsN7Z78HwHULrrNisu/LZsvMLS3K2/n0zpz+99MBMMbw+omvA/DHr/9IeFw4AHOfnMvqj1a3KG+bgW0458VzrK/fHfkurjIXF75/IXGd4wBY/Mpilr6+tEV599ZH5/z7HNoc1waAlZNXMv+p+X7HdTmjC6c9clqLnktERERERERERET2pMkIIiIiIiLAopcWsXnG5j3aqwqqrH/XVtSSuzCXukr/CQv5K/IpWl3UoufrNqqb9e/6mnpyF+YSkRThF1O0uojchbktyttmUBvr3163t9njSzeUtjhvbGqs39eNx3vdXqutbEtZi/MGRwT7fb1ryS6qi6px17ittvLc8hbn3Vsf1VbUWm1VBVV75M1dmMux1xxLXJe4Fj2fiIiIiIiIiIiI+NNkBBERERERIH9ZPuBbCSH1lFSrvXXf1ta/k9OSufTzSwmJCvE79pwXz9njw+99SeiRYP07tmMsl35+KY4Qh1/M6Y+dTk1JTYvyNp00EBobyqWfX7pHzNB7h9J/XP8W5Y1qE+X3dWPe0JhQq23Q+EF0H9W9RXnDE8L9vr7gvQvw1HmI6RBjtaVdlka749u1KO/e+qhpf/Y4pwetUltZX3//6Pfs+GEHKyev5OS/nNyi5xMRERERERERERF/NmOMCXQRh7vy8nJiY2NxOp3ExMTs+wAREREROaQYY3gi7glqnbXcuOxGUvqnBLokCYBFLy/iiz99QZuBbbhh0Q2BLkdEREREREREROSwZg90ASIiIiIigebc5qTWWYs92E5Sr6RAlyMB0uv8XtjsNnYt3kXpptJAlyMiIiIiIiIiInJY02QEERERETnq5S/3bdGQ1Dtpj60S5OgR2TqSTqd2AmDVR6sCW4yIiIiIiIiIiMhhTpMRREREROSol7csD0DbMwi9xvYCYNVkTUYQERERERERERH5NTQZQURERESOeo0rIyT3Tw5wJRJovS7wbdWw88edlG0pC3Q5IiIiIiIiIiIihy1NRhARERGRo17ect/KCJqMIFHJUaSekgrAqilaHUFERERERERERORABQW6ABERERGRQDLGcOy1x5K3NE/bNAjg26qhPLec0NjQQJciIiIiIiIiIiJy2LIZY0ygizjclZeXExsbi9PpJCYmJtDliIiIiIjIr+B1e7E5bNhstkCXIiIiIiIiIiIictjSyggiIiIiIiJN2IO0m52IiIiIiIiIiMivpb+yiYiIiMhRLW9ZHqWbSjFeLRgm/twuN1tmbwl0GSIiIiIiIiIiIoclTUYQERERkaPatD9N47muz7FqyqpAlyKHkNqKWp5KeYq3Tn0L53ZnoMsRERERERERERE57GgygoiIiIgctYwxOIIdOEIcJPdLDnQ5cggJjQ4luV8y0e2iKd1YGuhyREREREREREREDjs2Y4zWo/2VysvLiY2Nxel0EhMTE+hyRERERKSFPPUe7A47Nrst0KXIIaSqoIqIxAiNCxERERERERERkQMQFOgCREREREQCzRHsCHQJcgiKbB0Z6BJEREREREREREQOW9qmQURERESOWlokTPaH1+2lPLc80GWIiIiIiIiIiIgcVjQZQURERESOWh9e+CEvH/sym2ZsCnQpcojaPHMzT7d9mo8u+SjQpYiIiIiIiIiIiBxWtE2DiIiIiBy1chfmUpFbQVCY3hZL8xJ6JFBdWM22om1U7Kwgum10oEsSERERERERERE5LGhlBBERERE5KlUXVVORWwFAcr/kAFcjh6qY9jF0GNIBDKz6aFWgyxERERERERERETlsaDKCiIiIiByV8pbnARDXJY7Q6NAAVyOHsl5jewGwarImI4iIiIiIiIiIiOwvTUYQERERkaNS/vJ8AJL7a1UE+WW9x/YGYNucbVTsqghwNSIiIiIiIiIiIocHTUYQERERkaOSJiPI/ortEEv7E9uDgdUfrw50OSIiIiIiIiIiIocFTUYQERERkaNS4zYNKQNSAlyJHA56X+RbHUFbNYiIiIiIiIiIiOwfTUYQERERkaOOp85D4apCAFL6azKC7FvjVg1bv9tKZV5lgKsRERERERERERE59GkygoiIiIgcdQpXF+Kt9xIaG0psamygy5HDQGzHWNoNbqetGkRERERERERERPaTJiOIiIiIyFEnf3k+AMn9krHZbAGuRg4X1lYNU7RVg4iIiIiIiIiIyL5oMoKIiIiIHHXylucBkNw/OcCVyOHE2qph9laqCqoCXI2IiIiIiIiIiMihTZMRREREROSo07gyQsqAlABXIoeTVp1a0fb4thiv0VYNIiIiIiIiIiIi+xAU6AJERERERH5PxhjylvlWRkjpr8kI0jK9L+oNBsLjwwNdioiIiIiIiIiIyCHNZowxgS7icFdeXk5sbCxOp5OYmJhAlyMiIiIiv8AYw64lu8hfnk/fS/sSHB4c6JLkMGK8BpvdFugyREREREREREREDnmajHAQaDKCiIiIiIiIiIiIiIiIiIjIbvZAFyAiIiIiInK4cTldbJy+MdBliIiIiIiIiIiIHLKCAl2AiIiIiMjvafGri/HWe+lxXg9iO8QGuhw5DFXmV/Jsx2fxerzclXcXEYkRgS5JRERERERERETkkKPJCCIiIiJyVPnhnz9QtKaIuC5xmowgByQqOYqkPkm4a9yUbS3TZAQREREREREREZFmaDKCiIiIiBw1jDH0GtuLvCV5pAxICXQ5chgbN3McYa3CAl2GiIiIiIiIiIjIIctmjDGBLuJwV15eTmxsLE6nk5iYmECXIyIiIiIiIiIiIiIiIiIiElBaGUFEREREROQA1dXUU1VQRWzHWGwNbU1ne9ua/Ltpu93m+463ydzwxjZjTLM5jpa8NpvNivdrb+b4vbU3V9u+8u6t5iMtb9P2X5v35zl+67wiIiIiIiIicnixB7oAEREREZHfS9GaIirzKwNdhhwh5n2xjtaF1cSntmL8oFd52P4wD9sfZuyVn+Kw2ejxzUar7WH7w7ReW4zDZmNmRZ2V4/9eWYzDZmPA9nKrrWBFAe2X7MJhs3Hl2e9Zx1959ns4bDbaL9nll7fznG04bDbe2llh5Xju9SU4bDZSC6qstqr8Knp8sxGHzcbYKz+1jh8/6FUcNhtxO8r98vb9eDUOm43HNpRYOSa/+xMOm43Yyt2vwXgNxza0n33XdOv4uzo+i8NmI6TW45d38Mu+13z76qLd5/KTNThsNhw2G94m53j4iz/isNk45Ym51vEPhj9qxd4f87jVPuKR73HYbFyaU2Adv3nmZoK8BofNRn6TvGP+OR+HzcagN5b51RZeWYfDZuOObs9bbefe+jUOm430VYV+fRSTX4XDZiOnSd5rn5iLw2aj17R1fnkTN5XisNm44aTXrbY/XPoRDpuN49YV+/VRm5wC3zhpkvfex+bgsNnouCDXL2/HBbk4bDYuH/2+1XZ1+js4bDY6NRlTxmvoNnMzDpuNd6vqrfZ/PumrN3FTqV/eXtPW4bDZOP+6z622m/u9hMNmI77URVPHNvTdE03G2n+e+QGHzUZ4ZZ1f3kFvLMNhs3HmfTOstnvaPI3DZiPI6z/NZMR7K3zjZLsTERERERERETk8aTKCiIiIiBw1Pr/+c55OeZqVH64MdClyBLAd14Z2K/L3HSgiB8XXLy3igukbKWkyGUZEREREREREDl02Y8zPV7mUFiovLyc2Nhan00lMTEygyxERERGRZhiv4fFWj1NXUcf4FeNp3bd1oEuSI4Cr1k1BZR2tzO498FxApQ2Cgdgmv22V2sADpMSFE2L3LTtfUVlHaa2b8PBgkiKCAfC6vexyuvAAMQZCGo6vA8pt4ADimuQts4EbSIoNIzzIN9+8qqqOYpeb0NAgkqN8GYzXkFdaQz0QZSCs4Xh3Qw47EN8kb7nN95zxMaFEBTsAqKmpp7C6nqAQB22jQ315jaGgpIZaINJAeMPxnobXDJDYJG8l4LJBq6gQYkJ9Z62u1k1eZR32YDvtYsKsJfwLiqtxAeEGIhvaDFDcEBBvds+wrwJqbBAdEUxcuO9ceuo85FbUYnPYaNcq3IotLq2hymsIBaKb1FZs8+WPM77zDFADVNkgMjyYhCZ9lOt0YWzQNj7C6vuyMhflHi8hDX3XqMQGXnzjIbihrRaosEF4aBBJTfpoZ2mNb5wkRFh9X15eS1m9hyCgVTN9H20gtKGtcZyEBDtIidndR3klvr5vHRdOWMP4q6qso7jWvde+b26cOBr6qFFeSTV1BhJiw4hsGH81VXUUutzYgIQmeStsvtcdYSCioc3bcH5sDhsdWoVbsYWlNdR4Da1iQokJdlBVWMWJs7eSM7Y3fWds4ouwIDoO7YiIiIiIiIiIHLo0GeEg0GQEERERkUNf6aZSnuv6HI4QB/dV3ocj2LHvg0RE5JDxzpKd3JEQwYXnf0DbZXkMuXsIIx4eQVBo0L4PFhEREREREZHfnbZpEBEREZGjQt7yPACS+iRpIoIcFJ5AFyBylLniuLZsaRXGqP4pYGDek/O47Y5vyF5bFOjSRERERERERKQZmowgIiIiIkeF/OX5AKQMSAlwJXIkMEAS0AvIDXAtIkeTqNgwMiZlcPGnF+NOa80bj5zGyC5xPP/2crxub6DLExEREREREZEmDrvJCFlZWXTq1ImwsDBOOOEEFi5c+IvxkydPpmfPnoSFhZGWlsaXX37p9/2rrroKm83m9zjrrLN+y5cgIiIiIgGQt8y3MkJy/+QAVyJHgp1AKbAe36QEEfl99czoyXUzr6TfumKSl+dTeO1U3jj5DYq0SoKIiIiIiIjIIeOwmozwwQcfcOeddzJhwgSWLFlC//79GTlyJAUFBc3Gz5s3j0svvZRrr72WpUuXMmbMGMaMGUNOTo5f3FlnncWuXbusx3//+9/f4+WIiIiIyO/IWhmhv1ZGkF+vDbANmAWEBLgWkaNVamIk809ox+SNJUREBpO7IJeXjn2ZJ6atw+M1gS5PRERERERE5KhnM8YcNr+hn3DCCRx//PG88MILAHi9Xjp06MAtt9zCvffeu0f8xRdfTFVVFdOmTbPaTjzxRAYMGMBLL70E+FZGKCsr49NPPz3gusrLy4mNjcXpdBITE3PAeURERETkt+Eqc/FE3BMA3FNyD+Fx4QGuSEREDibndidTr53K5NRWfP7qeRy3PI9F/VOwATt3lrOoxEVsqzCGt/f9zu51e/k+pwBnkJ0OtW6S6n1bPNTYbayOCMZhDP2r6q38m8OCKA2yk9Yhhs6xYQAU51cyt7CasOgQzkxtZcXOXbaL4iAHbWrdtGnIW2+DFZG+qUvHVdZZsdtDHRQGOzimbTTHxPv+31RZUsPMnRUEhQcxsms8jobYH3/KZ5fdRlK9hw61HivHkihf3rSqOoIb/sKzK9jOrtAgOrWOoF/rKABqK2r535Yy7KFBpPdIILTh+J9WFbLFa4hze+nsclt5l0cG47HZ6FVdT3jD5I7CYDvbQ4NoGx/OoLbRvtdWU8+M9SXUBdk4rXdrohqOX7OuiHV1XqLdXro3ybsqIhiX3Ub3mnqiPb68pQ4bm8ODSYgNZWiHWKuPZqwsoMZh5+TeScTbbQBs2lhCTo2bcK+hV/XuPloXHkSlw05nl5u4hi07Ku021kUEEx0VzIhOcVbst8vzKHfYGdwjgZQQ3xnO3VrG4oo6goyhX5O+3xQWRFmQnfa1blo3jhMbrI4MIbShjxrNW5FPkc1Gvy6t6BTh65ei3HLmlbqwAcc26fttoQ6Kgh20qfPQps7Xn27gp6gQHCEOzu6RYN1BtGh1ITs9hmM6xHBMw/grz6/k28JqAPpV1hHUELsrxMGuEAeJ9R46NhknS6NCMHY4q3draxLdivXFbK710KVtNH0bxl9NSQ0zcsvx2mz0qqojvGFMFQTb2REaRCu3ly5N+vOnyGDcNhun9U4iqqGP1m4qYW21m3atIxnYOhLwjb9vN5dRa7fRo7qeqIYxVRpkZ3NYEFEeLz1qduddHRFMjd3G0B4JJDT00ZZtTn4qryUxIZwhbXaPv9nriql22OlcU09cw5iqcNhYHx5MmNfQu8k4WR8WREWQnUGdW9G24Wfy975GlGwsIb7JuBEREREROZIF7Tvk0FBXV8fixYu57777rDa73U56ejrz589v9pj58+dz5513+rWNHDlyj4kH3377La1btyYuLo7TTjuNRx55hISEhIP+GkREREQkMPJ/8q2KENMhRhMRRESOQLEdYrn8m8tZ++0Wvq6q46zIYGwN3/v8m4386epjaV1UTX5DW21FLTduKWPtmJ6cd/3nDHxtCQAFvZN4ceVNRBRUcU/yU1b+Ke9dQM5lafzf2iIeafigcd6MzWRclkaoy42rSS23Ld7F4muP47S/zuCUx+YAUJkUwVMFdwMw0faQFfvVMyNZcPuJXJdTwKsNHwavnbOVjNE9AagCIhpi7/12CzNvPYETnv2Bs+/4xsox0UwA4O6kfxBZ5Ptw+ru/DmPmo6eRsSKfTxsmI+T/lM8Fx7bBHRHMZqBTw/F/m7aOKfcMJe29n7jw8k+svE8W3EV1UiQ39c6i9Wrf9heLrj+Oaa+cx5BVhcxtmIxQvr2cS2JCcXZqxULg+Ibj//XRGl6672S6/G8jV45818r7wsqbKOqdxLhT36Tz7K0ArM44hg8+vYSeG0pY3aSPrqrzsPP4FKa6PZxn930gPenDlTxy3zCSl+Ux/qTXrbyTZo1j66mduOiiyfSZsgqAbUM68Mbca0jZWcGuJn10w84K1p/dnX+X1vCnEN95/+SDHG6552Sic8v5c7+XrNgPPxzLqov6MOqmLxj870UAFHWP54V1txBeUUt1075fVciii/vywM5yHm6YjDD7o1WMvfVE7HUeHgx9xIqdljWKRTcdz/CJ3zLiodkA1MSG8kSZ72abOnYvZ3rfglyyrxrA9VtKeaVh/K36fB0Z1x0HwF9aPU64sxaAWROGM3viqRyf9SPn3Lx7q9KH6+7HG+wgF2jb0Pbot1v44PqBjN5UymcN42/L7C2MHdGZ2lZh3NL9eRI2lACw8Kbj+TJrFL0/XMkfLp5i5X0q904q20azqN7DwIY+ev5/m8j60yCGbC5lLr7JCPk/5XNZ60hKuidwzZDX6Th/BwA5F/VmyocXkfrtFq4e8ZaV999LbyS/XzKfFleTkeD7KXjrq/VMvHEQx+xwsqYhrnx7OVdX1bNjSAcuHvM+vT5bC8Dm4am89e1VJK0sILPJOHn7f5ez6YyuZG0t46aGyQi/9zXi4XP/y/mTMhh+YntERERERI50h81khKKiIjweD8nJ/nv8Jicns2bNmmaPycvLazY+Ly/P+vqss87iggsuoHPnzmzcuJG//vWvnH322cyfPx+Hw/HzlADU1tZSW1trfV1eXn6gL0tEREREfgd5y33v/1IGaIsGOTheBGxABrs/1BGRwLLZbDwyojOXl7no3m33DQaR4UEkbHPS2msg0fehps1uI766noRtTuLCg2jVuRUAdSmRJGxzElHmstoA4mvdJGxzEmu3WW1hEb68EUF2aPhgHiDO7SVhm5P4ILuVIygujIRtTgD/vF7jq6HJ6wgJDyZhmxNHqANbctTuWBu+vF7jl8PK2yGGyGjfh6txQTYrtlFQaBAJueV4I0MIalpvsN1XQ53HP29eJeE1buJSomjVcCd8XMO5TKrffce9PdhOQmEVQUF2QtvvXi2yVZgvNr6yzj9vcTVmm5O4+HCrPS4m1NdHNbvvNLfZbcSXuajd5iS87e7zEBsZQsI2JwmlNf7nsqKWym1O4qJDrPbyxHBf3up6vz6Kr/L1fVTM7o12oqN8NUQVVfvndfn6Pj7UYbV7UqJ8sV4D0aG7Y+t9fR8bvHtX1IhoX1672+uf19MwTuw2qz0syvfa7D8bU/E09D27x19IdIjV93EdYwlrWHUh3u7r+ziP//Ml7CjHG+zA0bSPHL6+T/R4rbbgiGASdlVQW15LqzZRtGr4Xlyow1eDy+2fN7+SULeXkDZN+qghtnE1AWgYf4XV2EKDiEuM2N33Da8jvqLWP29pDe5tTsKjgq22mIafjda1u1dQsAfbSXC6qNnmJC4mdHfeeF/fxxf/bJxU1uHc5rRWcYDf9xpx85oislZnsvq7rQxHREREROTId9hs07Bz507atWvHvHnzOOmkk6z2e+65h9mzZ7NgwYI9jgkJCeGtt97i0ksvtdpefPFFHnroIfLz8/eIB9i0aRNdu3YlOzub008/vdmYiRMn8tBDD+3Rrm0aRERERA5NU6+bytLXlzLs/mGc9rfTAl2OHAE6AtuBucCQANciIiIih4c3F+/k2rRkBny+lkXn98LWZPKCiIiIiMiRyL7vkENDYmIiDodjj0kE+fn5pKQ0f4dbSkpKi+IBunTpQmJiIhs2bNhrzH333YfT6bQe27dvb8ErEREREZHfW/5y33vClP5aGUF+PQNcDJwL9AxwLSIiInL4uLhva+7v8i9Gj53MzsU7A12OiIiIiMhv7rCZjBASEsLAgQOZMWOG1eb1epkxY4bfSglNnXTSSX7xANOnT99rPMCOHTsoLi6mTZs2e40JDQ0lJibG7yEiIiIihyZjDJX5lQAk90/eR7TIvtmAfwCf41s6W0RERGR/hIcG0fekDgCsnbo2wNWIiIiIiPz2DpvJCAB33nknr776Km+99RarV69m/PjxVFVVcfXVVwNw5ZVXct9991nxt912G19//TVPP/00a9asYeLEiSxatIibb74ZgMrKSu6++25++OEHtmzZwowZM8jIyKBbt26MHDkyIK9RRERERA4um83G7Vtv587cO4nvqo+ORURERCRweozuAcCqL/e+KquIiIiIyJEiKNAFtMTFF19MYWEhDz74IHl5eQwYMICvv/6a5GTfHW7btm3Dbt89v2LIkCH85z//4f777+evf/0r3bt359NPP6Vv374AOBwOfvrpJ9566y3Kyspo27YtZ555Jn/7298IDQ0NyGsUERERkYPPZrMR3TY60GXIEcIJRAGOQBciIiIih52uo7rz4eSLWH9WN07Z4aRf+9hAlyQiIiIi8puxGWNMoIs43JWXlxMbG4vT6dSWDSIiIiIiR7hLgE+BF4FrAluKiIiIHIZ6Lstj7YAU7p21mcdGdA50OSIiIiIiv5nDamUEEREREZGW+uyaz6gurOaUB0+h3fHtAl2OHAE2AbVA60AXIiIiIoelO1YVsuSaz+iVGAGajCAiIiIiRzD7vkNERERERA5fG77ewLpp6zAeLQgmB8d8fBMSTg1wHSIiInJ4GjuoLW2X5rH12y24nK5AlyMiIiIi8pvRZAQREREROWIZYxj7wVjOeu4sWqfpPnY5OBxAZyAq0IWIiIjIYSmhRwIJxyTgrfey8ZuNgS5HREREROQ3o20aREREROSIZbPZSB2WSuqw1ECXIiIiIiJiibmyPx96DTnBdiYHuhgRERERkd+IJiOIiIiIiIjsp8+B2cBZQHqAaxEREZHDV8Q53fm+fwrhpTXUub2EBGkBWxERERE58mgygoiIiIgcsX569ye8bi9dz+xKdNvoQJcjR4AvgZeAUDQZQURERA5cRp/WnPVTPufEhmJahQW6HBERERGR34QmI4iIiIjIEWvuE3MpyCng0s8v1WQEOShG4ZuIcFqgCxEREZHDWnCQna/6JQe6DBERERGR35QmI4iIiIjIEcld66ZoTREAyf31h145OM5reIiIiIiIiIiIiMgv02ZkIiIiInJEKlxViNftJSwujJj2MYEuR0RERERkD/OnreX2F39k6caSQJciIiIiInLQaTKCiIiIiByR8pfnA5DSPwWbzRbgauRI4AS2Ad5AFyIiIiJHjD+1juJfNx3Pq9vLA12KiIiIiMhBp8kIIiIiInJEylueB0DyAG3RIAfHZ0AqMCrQhYiIiMgRY7TdRqddFXTtEhfoUkREREREDrqgQBcgIiIiIvJbyF+2e2UEkYOhCN8vUF0CXYiIiIgcMR4a1Ja/BboIEREREZHfiCYjiIiIiMgRxxize2WE/loZQQ6OO4FbgOpAFyIiIiJHDC1bKyIiIiJHMk1GEBEROQgq8yupzKskPD6c2A6xAHjdXgpWFrQ4V1yXOEKjQwGoLq6mfEc5oTGhxHXevWxn44esLRHbMZbwuHAAXE4XZVvKCIkMIb5bvBVTsLIAr7tlu6FHt40mMikSgLrKOko2luAIcZDUK8mKKVpbhNvlblHeyNaRRLeJBsBd66ZoTRF2h53WfVtbMSUbS6irrGtR3r31UXK/ZGw2GwBlW8twlblalHdvfZTUOwlHsAOA8txyqota9jHm3voooUcCweHBwO7x1xJ766Pmxl9L7K2Pmht/LdVcHzU3/gCqi6pxlbqwB9lJ6p2015wiLRUMxAa6CBERETmiuGvdbJ61hTUlNZx3WVqgyxEREREROWg0GUFEROQgWPLqEmY9MIvjrj+O8145D4DailpeHvByi3NdMf0KuqT7FgFf/dFqpt04jZ5jenLxJxdbMa8MfAXjMS3Ke8F7F5DW8IetzTM38+EFH9JhaAeumXONFfPOGe9QuatlH2qPfHYkJ952IgB5y/KYNGwS8d3juWXdLVbMlD9MIf+n/BblHfZ/wzjtkdMAcG518vKAlwlrFcZfSv9ixUy7cRqbZ2xuUd699dED9Q9gC/J90D3jvhnk/DenRXn31kd35t5JdFvfpIq5T85l4XMLW5R3b31047Ibre0HGsdfS+ytj5obfy2xtz5qbvy1VHN91Nz4ayqxZyJBoXrLKyIiIiKHrmVrizi9TxKuuHCKXW6iwvT+VURERESODHpnKyIichCERIUQlRJFaGyo1Waz2YhKiWpxLkeIw/p3UHgQUSlRhMWF+cVEpUS1eDJCUJM/aAWF+vJGJET4xUS2joSWpSU4Itj6tz3YTlRKlHWneqOIxIgWn4uQqBDr3zaHbY/zC75VDlqad3/6KKxVWIvz7q2PbHbb7ueOCW1x3r31kT1o94KujeOvJfbWR82Nv5bYWx81N/5+jcY+am78WV8H2Rl86+Bf9TwijbYAdwADgAkBrURERESONMelJUNeFcYG0xfv5PyhHQNdkoiIiIjIQWEzxrTwIwf5ufLycmJjY3E6ncTExAS6HBER+Z3UV9cD/h/Gi4jIkWkacB7QH1gW2FJERETkCJT18Gx2PTaHE6/qz7n/PjfQ5YiIiIiIHBT2fYeIiIhIc1b8ZwVPJj5J9r3ZgS5FRER+Y32B54Bb9hUoIiIicgDOHNSWYJebdZ+vQ/eOiYiIiMiRQpMRREREDtDqj1fjrnETEh2y72ARETmsdcI3EeHaANchIiIiR6bOp3UmOCKYitwK8pbmBbocEREREZGDImjfISIiIvJzLqeLzTM2A9Dr/F4BrkZEREREREQOZ0FhQZTfO5Qpg9uxo6SGVwNdkIiIiIjIQaDJCCIiIgdg/Zfr8dR5SDgmgcReiYEuR0REfmPfA92AFMAW4FpERETkyBR2aic2DkulfnVhoEsRERERETkotE2DiIjIAVjzyRoAep7fE5tNH0uJiBzJioFTgLZAVYBrERERkSPXVT0TOePu/zF6zAeU7ygPdDkiIiIiIr+aJiOIiIi0UH1NPeu/XA9Arwu0RYOIyJGuAOgKdAKiAluKiIiIHME6JUVyybwdJK4rZu3nawNdjoiIiIjIr6bJCCIiIi20KXsT9VX1xLSPoe2gtoEuR0REfmO9gA0NDxEREZHfUo/RPQBYN3VdgCsREREREfn1NBlBRESkhdZ8rC0aRESORo5AFyAiIiJHvB7nHcOmEZ3IOrsbRRW1gS5HRERERORX0WQEERGRFvC6vdZymdqiQURERERERA6mxF6JfPlGBvNvPYH/rCwMdDkiIiIiIr9KUKALEBEROZxs/X4rNcU1hCeE0/HkjoEuR0REfgejgTDgCaBzgGsRERGRI5vdZuOigiq2V9bRv3OrQJcjIiIiIvKraDKCiIhIC6z+eDUAx2Qcgz1ICwyJiBzp6oAvAQ/wTIBrERERkaPDi4PbBboEEREREZGDQpMRRERE9pPxGtZ8sgaAXudriwYRkaPFVGAd0DbQhYiIiIiIiIiIiBxGNBlBRERkP9WU1tC6T2vqq+vpkt4l0OWIiMjvIAQY1fAQERER+b1UF1XzffYmCmNDufzs7oEuR0RERETkgNiMMSbQRRzuysvLiY2Nxel0EhMTE+hyRETkN+Z2uQkK03w+ERERERER+W28NHsL44d3InljCXld4wNdjoiIiIjIAdFm1yIiIi2kiQgiIkeP74C5QEWgCxEREZGjyvkDUgiqdZMQGoTT7Q10OSIiIiIiB0STEURERPZDVWEV5bnlgS5DRER+Z/cAJwPfBLoQEREROaokx4ZRFBrEyvYxxAbpT7giIiIicnjSO1kREZH9sPjlxTzT/hm++bM+jhIROZp0bHj0DHQhIiIictSJDXQBIiIiIiK/ktaZFhER2Q9lW8oASOqdFNhCRETkd/VhoAsQERGRo1ptRS0n7ChnTdtoLrl2Kj2nbwJg09AOvP3fC2m9tpibznjHin/7vxeyaWgHspy1XNvRN53h9beXk5lxDG0r69jULgaAmtIaTpy5mbXpXRh9TzbHvZ8DQH7PRP79v8uJLK7h7mNftvJOeWEUOaN78EB+Ff/XIwGAaR+uZOzIrkR6DMXx4VbskFcXs+QPfTj9ibkMy/oRgMrECJ5acgM2AxNSn7Viv3r4VBZcNYAbdpTzXJ/WACz+Yh1DT+6IPchOcWQIjZnPfm4Bs8b156TXljDy4e8A8Nrg4a23A3BP/5eIKHUBMPu2E5j155MYs83J+2nJAGyft53e3eJxRwSzLiqEDg15//j0PD667jj6fbKGC2772qrtiZ/GU9MqlMzT3iZpQwkAi/6YxrTHTueUbU7+15C3eF0xvT1eytvFMC8mlGMbjr/lH3N59YaBdP1uG1dc/rGV94VZ4yjqGsdVF02m04JcAFad3Y0PXz6XvjsrWNQryeqjPisL2ZnWms+iQhjp8N1X+PCTc/n7jQNpk1PIjaPes/JOmnIRWwe34w9/+oLeX64HYOvgdkyachHtSmrY2DnOiu07dS0bhqfyb+Dq2DAAXnpmPrdfcyyxuyq544TXrNgPXj6X1Wd345z/m8nx7/wEQFGXOF74dhxRLjdFyVFW7ND3c1h8djcerKrnr22jAfjkxR+59I9pBNV7ub/rc1bstL+fzqLL0xjxz/kMf3aB7zW3CuWJn8Zjc9ipjArB0RB7zlvLmDGmJzeWuvhXp1YALHhzGcPP900ZvrfPi4RV1AEw666TmH3rCQx+azmjHphlPd9DW28Hu43NMaGkNLRd8doSJl/Um/OLqvlv13gA1k5dy+CBbaiNCuHWYZOI3+r0Pd/VA/jqoVPpM209F930hZX3qcU3UJkUwcKoEPo19NHtryzmpYv7MKywmundfHm3z9vO4OhQSjvGcO2YD+iwZBcAOef1YErWKDrP28G4S6ZYef/9v8vJ75nIJx7D2Q0/X4++voS/je1N71IXSxrOQ/G6Yk7YWcGOY1N+92vEfUNeZ/Tro+lxTg9ERET2RpMRRERE9sPo10Yz4m8jCIkKCXQpIiIiIiIicpSYPHYyxROHU9srido6D7XltQDUutzUxoZRGx5ktQG4Qh3UxoZR79zdVlfvoTY2jOo6z+7EBlzBvthat3d33up6amPDCHK5/fLWBtl8sXmVVpu7Ia+tpt6vZpfD7os17M4bFkRtbBh4jX+9toa8O3Zvi2g8xhf7M7VAbWyY75iGHF4bVmxtRR2OxuczvvZanNbxXo8XV3QI7vBgTNO8Xt/z1Tps/q85KtjXXl2/+3U01FbjaFKv1+CKDMEVE4q3Sd46d0PeELt/3nDfuahtco5r63znsqagancCA66GWLfH2ySv13ce9uj7hrzNjJOayjr/cxnSME7KXFZbfX1D3vJa/3qDG/rTY/YcJ7Zav7wuh68/66p2j4nGceKu/dmYsvtiXU3GSePxP2f1fenuej0N5wx8x9saJiO4Gvve9rP+jA7BOOx+fV9nfH3kKq6x2rxuL67oUOpiQqmt2rPva4N+ljfSN068TfuoYUzVlDTJ6/FSG9FM3zee91CHf3+G+/J6muSobxx/TeKM11Db8HP/e18jqvKr+HbCt5qMICIiv8hmjDH7DpNfUl5eTmxsLE6nk5iYmECXIyIiIiIiIiIiIkcAr9vLyu1Oau02kt1eIhv+klttg7wgOyEG2rt3fwi602HDZbfRNSWKuFDffWilJTVsrKglIjKE3okRvrweL6u3Oamx20h0e4lpyFsL5AbbcRhIbZI332Gjym4jNSmSpIhgACqcLtaWuQgOD6J/6913x6/ZXEql3UacxxDn9SV2A9uCfXeNd6nfnbfIbqPcYaNtfDhto0MBcFXWkVNcjSPEQf820dY+wxu3llEKxHoMCQ15DbC5IW9qvde6k77UbqPUYaN1qzA6NnxgXV9Tz0/5VdiC7aS1iyG4IXbrdieFXkOU19Das/tP5VuC7Hht0L7eS+NtCeV2G0UOG3HRIXSN951LT52HFTsr8Nht9OkYS+NH6Tt2lpNX7yXMa2jbJO/2IDv1Nmjj9hLe0Fxpg4IgOzGRIfRo0kcrt5dTa4OeHWOJstkAKMirZFutm1AD7Zr0Ua7DRq3dRmu3l6iGvDU22BVkJzw8iD5N+mjl5lJq7Da6tYuhVZDv/BUXVrG5up4gAx2b5M1z2Ki220j0GGIaznsdsCPYTnBDHzVau7WMCiA1JYqkhvFXXlLDuoraPfq+0GGj4mfjxANsDbZjD7JzbLsYbA2xm3aUU+Lx0i4pkjYN46/G6WJlw2SKTvVea5yU2G2UOWzEeAyJ3t3nfVOwHZvNRv+OsdYdmlt3llNY76V1Qjgdo3zjr66yjhVF1RgbdKj3WuPEabdR7LAR6TUkN+nPrUF2PDbo2zGWsIY+2plfyU6Xm/hWYXRpMv5W5lfh/lnfV9igMMi+xzjZEWSnzgY928UQ1dBHBYVVbKuuJyYmlB5xvtUSPHUeVuWW/+7XCG9VPf879mU8dR6u//F62g5qi4iISHM0GeEg0GQEEZEjW11lnVZEEBE5Ct0PfAXcDlwR2FJEREREREQOKR9d/jHTtjmJuPZYssYNCHQ5IiJyiNI2DSIiIr+gqqCKZzo8Q+opqVw67VKCQvW/ThGRo8WShkfNvgJFRERERESOMsF3D+HN/ikEV9fzgNNFSjNbbIiIiOgTFRERkV+wdupaPHUeakprNBFBROQo8wKQA/QPdCEiIiIiIiKHmHP7JXPMmiJ6ebzUdm4V6HJEROQQpU9VREREfsHqj1cD0OuCXgGuREREfm9dGh4iIiIiIiLiz26zsbpnIrZAFyIiIoc0e6ALEBEROVTVlteyecZmAHqe3zPA1YiIiIiIiIiIiBw6NBFBRET2RZMRRERE9mL9l+vx1HlI7JlIUq+kQJcjIiK/oxXAW/i2aRAREREREZHm1VXV8eV/VzDhA/32JCIie9I2DSIiInvRuEWDVkUQETn6fAY8AIwD3gxsKSIiIiIiIoespVvKOPcPfbB7DOMKq+iSFBnokkRE5BCiyQgiIiLNcLvcrP9yPaDJCCIiR6P2wGnACYEuRERERERE5BB2Qp/WdF9fTGRoEGVxYYEuR0REDjGajCAiItKMjdM3Ul9VT0z7GNoOahvockRE5Hd2VcNDREREREREftnS7glEBLoIERE5JNkDXYCIiMihaM0nawDfqgg2my3A1YiIiIiIiIiIiByaNBFBRET2RpMRREREfsbr9rJ26loAel3QK8DViIjI780LmEAXISIiIiIichhxu9z8+N8VPPX6kkCXIiIihxBNRhAREfmZrd9vpaa4hvCEcDqe3DHQ5YiIyO9sFhAHXBzoQkRERERERA4TW7c7OTW9C/dcNYCc3PJAlyMiIocITUYQERH5mdUfrwbgmIxjsAfpf5UiIkebNYATcAW6EBERERERkcNE1+4JdNpeTnRuBf/7ekOgyxERkUNEUKALEBERORQFRwTT63xt0SAicjS6FhiOtmoQERERERFpiRd3lDPz+FcxrSPxXNkfR7Aj0CWJiEiA2Ywx+hvbr1ReXk5sbCxOp5OYmJhAlyMiIgdBfU099iC7fmkSERERERERERHZD556D892fJbKvEoumnwRvcf2DnRJIiISYFp7WkREpBnB4cGaiCAiIiIiIiIiIrKfHMEOjr3uWAzw2ZfrA12OiIgcArQywkGglRFERI4MxhhKN5US3zU+0KWIiEiAVAFPAD2BS9DsbRERERERkZYo3OZkQH4lO49vx/xNpZzYJS7QJYmISAAFBboAkZb44IIPKF5b3KJjjrvhOE687UQAyraW8Z9R/yEkOoTrfrjOipl63VR2zN/Rory9xvZixEMjAKgtr+X1k14H4MZlN1p3U0+/Zzrrv2jZDNBOp3Vi1POjrK9f6v8SXreXK2deSVRyFABzHp/DT+/81KK8KcemcMG7F1hfvzXiLaoKqvjDR38gsWciAIteXsTC5xa2KG9sx1j++NUfra8b++i8V8+jw5AOAKycvJLZE2e3KO/e+ij9iXR6nNsDgE0zNvH1rV+3KC8030dD/zKU/lf2B2DXkl18csUnLc7bXB81N/5aqrk+2tv4a4nm+mhv468lmuujvY2/lmiuj/Y2/lqiaR/t+GEHbwx5g5RjU7j+x+uxO/QRlIjI0WYt8DcgEbgswLWIiIiIiIgcbpI6xpKyq4J8l5tP5m3XZAQRkaOcJiPIYaV0UymFqwpbdEzTDzw9dR4KVxUSGhvqF+Pc6mxx3vY721v/Nl7T7PEVuRUtzhvf3f+O7MJVhXjdXr8PhCvzKlucN6xVmN/XxeuKqdhZgdvlttqqi6pbnNdT5/H7urGP6qrqrDZXmavFeffWRy6ny2qrq6hrcd6fa+yjmpIaq62+pv6A8jbXR82Nv5Zqro/2Z/ztS3N9tLfx1xLN9dHexl9LNNdHext/LdG0jyISIwBI6J6giQgiIkepCOB6ICTQhYiIiIiIiBymnqxx8792/yTeGOov7EVweHCgSxIRkQDRNg0HgbZp+P3sXLSTusq6fQc2EdsxlriG2Zf11fXkLszFHmSn48kdrZi85Xm4Sl17S9GsqDZRJB7ju1vd6/aybc42AFJPScVmtwHs8WH0/ohIjKB139bW11tmbwED7U9qT1Cob/5QyYYSyneUtyhvaEwobY5rY329fd52PHUe2g5qS0iU78/tZVvLKNtc1qK8QeFBtD9h9wfjjX2U3C+Z8PhwACp2VlC8rmV3q++tjxJ7JVqrD1QXVVOQU9CivNB8H8V3iyemve/n1+V0kbc0r8V5m+uj5sZfSzXXR3sbfy3RXB/tbfy1RHN9tLfx1xLN9dHexl9L/LyPdi7eSdtBbfVLkoiIiIiIiIiIyAHwerw83+15yraUkfFmBgPGDQh0SSIiEiCajHAQaDKCiIiIiIiIiIiIiIiIz5zH5zDjvhm0OrMrt31zeaDLERGRANE2DSIiIiIiIg2cQGygixARERERETnMDbjmWG7uEMOKi/rQe20RZzSs8ioiIkcXbYgtIiIiIiICeIE2QBKwI8C1iIiIiIiIHM6iWkcS2TkOb4iDz2vqA12OiIgEiFZGEBERERERAXKBGsADpAS4FhERERERkcPds13i8FbWccKANoEuRUREAkSTEURERERERIAOQCWwFf2iJCIiIiIi8msdnxIV6BJERCTAtE2DiIiIiIhIg0igd6CLEBEREREROYIYY9i2dBdeYwJdioiI/M4Ou8kIWVlZdOrUibCwME444QQWLlz4i/GTJ0+mZ8+ehIWFkZaWxpdffun3fWMMDz74IG3atCE8PJz09HTWr1//W74EERERERERERERERGRI54xhrEvL6ZPShSfrMgPdDkiIvI7O6DJCB6Ph9dff53LLruM9PR0TjvtNL/Hb+WDDz7gzjvvZMKECSxZsoT+/fszcuRICgoKmo2fN28el156Kddeey1Lly5lzJgxjBkzhpycHCvmySef5LnnnuOll15iwYIFREZGMnLkSFwu12/2OkRERERE5NDzKPA3YEuA6xARERERETlS2Gw2nH2SqGwTzX+CDrv7Y0VE5FeyGdPydXFuvvlm3nzzTc455xzatGmDzWbz+/4zzzxz0Aps6oQTTuD444/nhRdeAMDr9dKhQwduueUW7r333j3iL774Yqqqqpg2bZrVduKJJzJgwABeeukljDG0bduWP//5z9x1110AOJ1OkpOTefPNN7nkkkv2q67y8nJiY2NxOp3ExMQchFcqe/OvL76ltMbDMZEe4sN9bSU1HtZWhRBhN/SP91qxP5UYqrxBjOiSzPDj+gKwfvsu3luwisggG3eP2T1x5uX/fc+u8jq6RnhoHeFrq6j1kFMRQogNBiZ4rNg1pYZSTxCD27di1IkDAcgrKeWlmUsIshv+OuY07Hbfm6q3Zs5jc0kNHcI8tG/YHqvW7WFJWQg2G5zYJO8Gp6GwPoi+idGMPXUwAFU1Lv7xxVwA7jvvZEJDQwGYPHchK3dV0DbES2qM70fY7XHzY6nv+8fHuQly+H4ut5UbcuuC6BITypVnngyA8bh5ZOr3eDxeMk8bRFJ8LABfLFzKj9tKSAr20C22oTDj5YfiIAw2jo3zEObwNedWetnmCqZNeBA3njPcin1y2vdU17q54oS+dO2QDMDM5Tl8tz6fVkFeerVquOQYw+ISO3XGTp9oDzG+0ims9rChOoS4YBu3ZZxmxT73zRxKKus4v183+vdIBWDRmvVMy9lGpMPQL2533y8vgWqvgx6RbhLCfeehtMbNmqpQIhxe7so43eqjV6bPY6ezhjN6tGdov2MAWL1lGx8sWk+oHY6L391Hq0rB6XHQOdxNSqQvb1Wdm5/KQwm2wV3n7u6j92YvZH1hBUM6JnHm4H4AbM/L5/U5OThsMLiZvm8f6qFD9J7j5M8jTyAqyjeAPpq3hBU7S+nfphXnD/WNv4qqSp7+agEAg+PdOOy+2raUe9lVF0xKiJfODePE43GzsGGc3DisH22SkwD4atEKFmwpoEd8FJeddgIAXq+bv30yG2PguFYeQhs2z86t8LKtNpjEYC/dYxv708vCkiA8xsalA4/hmM7tAfh+5VpmrN5B+6hQrjurYfx5vTzx+Sxc9ZAW6yEq2Jciv8rDppoQYoO89G4yTpaU2Kk1dkb3TuW43t0AWLJ+C1OXbyQxLIibzx1unUtdI3SN0DVC1wjQNULXiAO/Rlx20imUhIbxbW0Jg+zBYGv4Q5mnDkw9NlswEaFx1nmvdhViMIQFx+Fw+AZrvbuaOncl2BzgCLNicVcDBuxhYG84Ed568NaBzUFkaIIVWuMqxouH0KBYgoJ8L87tdlHrLgfsEBTeJG8N4P1ZXjd4awE7kWGJVqirthSPqSckKJrghhwedx0udxlgg6CIZvKGgr3hB9zrAa8LsBERmmj9Hlhb58TtrSXYEUlIcKQv1Oumpq7Ed1xQ5O68HhcYD9hDwB5s9T2eGgDCQxOxN5z3uroK6r01BNnDCQ2Jbgj1Ul1X1EzeWjBusAWDI6QhrwFPNQBhwfE4HL7XUV9fRZ2nCoc9lLCQWCtFlathkrsjAhp/x23oe2xB4Ahtcn6qAAgNbkVQw/O53TXUuiuw24IJbzJOducN3z2mmvR9c+MkJCiG4KCwhj6qxeV2YsNBRNjucVLtKsL8Qt83N06CHVGEBPv62eupp6a+lJ+PkxpXCV7ce+17v3HS0J9BjghCg30XKuNxU11fAtiIDEuyQl11ZXi8dXvt++b602EPIywkxoqtqvX1fURoUpPxV47b69pr3zfXn3ZbKOGhsVZsVW0hAOEhCdgbzmVdXSX13uq99r1ff+oa0ZBX14jd50fXCF9xukY0zatrhK4Ru8+PrhG+4nSNaJr3SL9G/FhqY3WQjU5rl2GvreaTdeHktounT04uXbYU+/ooIoiFowcTaYK5fO52SktLKaksZtWJPSjs2paLuiRwZkoEc+d+z65tZbwf15ngqGBudOQBYDf1TMtxsCm1Nd3X5dNzXT4Yg9vh5fuLhhBqD+OK77dR5XRSWFbI+uM6sbN3Kme3j+PirnHM/vZbynYW8UZ0VxwRQVwdUkCYMdhMPTNybKxKTSF1Swn9cnaAMdjwMPOikwgJDueiH3KxlZSTV5LHlj7t2HJcN05uHcONvVszZ84cynblM4n21EeF8sfoYlq5PdhMPfNWeFncqR1tdjkZtHgrADbjZs55x0NMNOctziOy0Mmugl3kdk1k3dDeDIiP4s/9UliwYAElhTt5u7w1ldERjE10klJbh824WbKynrkdOxBfUsXQeRutvAvP7E9dYjxnrigiKd9J7s4d7GoXzerTB9AtNooJx7VhyZIlFJXs4L3tMZQkxHBOQiWd613YjIfVK2vI7phKVFUdI2atbcjrYdnw3lS0a80pa0rovLOcrTu2UpQYxk+jjiclOoKnBrUjJyeH/KItfLg+nJ3JcYxoVUUfbw0YD9tXV/FZu86E1HsZ+b+VVt6cE7pR2rUdgzeV02e7ky1bNlMe7WDh+ScRExXJvwe3Y+3atWzftZHP1wWzKSWBE6NrGGSrAuOlcK2TD9p0A5udc6Ytw44Nm/Gwrn8qeX07M2BbJQM3l7Jt61aqg+qZffHJRIRHkHVSB3Zu3symrWvIXm9nZUpr+ke6GOaoBGOo3lTGpISuGLuDM/6XQ1idB5vxsLlnW7YP7E7PXTUMXVdM7o4dVONi9tiTCAqN4OnhnajJzWXt+hV8v96wOCWFHpF1nOko912Tcp28HdyB2rAQTpm9ltiKWmzGw/ZOCWwe2pdORXWcvrKAXbt2Uemp4ofzjscdHc3EkzoQ4Sxh5apl/Li+jjkp7egY4WF0UKnv2lFYyX9qW1MRE8GJP2wkqagKm/GSlxzF2vRjaVPu5ZyluygoKKC8tpxFI4+lJrEVdxzblo7eGpYuX8zKjdVMb92epAi4OKjYdzmorOHD/BiKkmI5bvFW2u1yYjNeSlqF8dPZg4ivtXHhwlyKi4opdZXx0/DeONu15pperRkYZWPBwnls3lLJZwmpREU5uMrR8P88T+2vukYsXvwjQ4acjBxCzAFISEgwX3zxxYEcesBqa2uNw+Ewn3zyiV/7lVdeaUaPHt3sMR06dDDPPPOMX9uDDz5o+vXrZ4wxZuPGjQYwS5cu9Ys55ZRTzK233rrXWlwul3E6ndZj+/btBjBOp7PFr0tahgN4nPXFVOv48d9PMRhjgqtcfnkddfUtznvi7G+t45+a977BGGOrd5u6ujqrPaKissV5ey1ZZh3/Tc4nVvuOHTus9oSCwhbnbb9+k3V8Qd53VvtX3y2y2lO3bmpx3vidBbtPZNUOq/3xT7+ymgesWtrivBFllbvzeuqMrd5tMMb8afInVnP6klktzhtUU+fXRyFVLoMx5vzPdo+Ty3/4pMV5bW6PXx9FlzgNxphTps+02h784T8HNIabXqNSduw0GGPSflhstf33p/cPKO+bX+1+zd3XrTUYYzqtXG+15eyccUB575vyvpXjhGULDMaYpK15VluBc+0B5b1iygdWjvN++MZgjIkq8r/uHkheXSN8D10jfA9dI3Y/dI3wPXSN8D10jfA9epetMk31Ls0xGGNm5f7Panthw2stzptYU+CXd3j+bIMx5sOtk622Dze+eUBjuKmx2z81GGNe2Pye1TZr6+QDyltQU2jluGnT2wZjzIQmeQ/0GpHj3H2dmbDuJYMx5qYm5+FArxGzCn+wcryw5nmDMWZs7pd+5+dA8n6Yu3usfrjmBYMxZnjBHL+8iTUFLc77wraPreNnrX+1+fFXtrLFeSdsnWIdn9PQ93uOv+9bnPem7Z9axze9RjQ1dsfnLc47duc3uxM0uUb4jb/N/21x3uGF83bn9dRZfZRTvNRqnrBhUovz6hqx+6FrhO+ha4TvoWuEab6PdI0wxuga0UjXCB9dI3Y7mq8RwRUuM5GJZiITzfEvLLTa0+5719xzzz3m1LG9Dygvxpj/C/2bmchEM3zCrN3n/p9fmVtvvdV07ZN4wHnvaP9PM5GJZtRNX1htPd75wVx55ZUmNjb2gPPecNzLZiITzUVjP7TaUr9abc4++2zTrVs3k1DV8t/vMcb8ceQ7ZiITzbjhu8dq8qLt5vjjjzcnnXSS6VmSc0B5z7/8YzORieam3llWW/S2MtO5c2eTkZFhhubOOqC8Z975jZnIRHN34pNWm6Om3sTExJhrr73WjFr34QHlHfrY99ZYa9oe3ybV3HbbbebixS8cUN5jX1ti5Y0o2P23nTZpJ5t7773XjJsx4YDy9pi6xsqblJNvtXc+5VJz//33m6s/vOmA8rabv93Kmzprs9Xe8/y7zYMPPmiueHbsAeWN21Bs5e394e4x1feGZ8wDDzxgLrx7+AHl3dc14sIbhxk5tBzQmjghISF069bt4M6K2IeioiI8Hg/Jycl+7cnJyeTl5TV7TF5e3i/GN/63JTkBHnvsMWJjY61Hhw4dWvx65PcTZd9912C43Q1ASF2dX4zd66WlIqi3/h3a8BxB9W6/mCCP/9f7I9y7e4uQxlWrbG4PQUFBVnuwt+7nh+07r7v5rUfCw0Ksf4ceQN5Qd22z7dFhwbtjaD7mlwTX+9fiaOij6ODdK7GE2Vpeb5C73v/rhj6KcuweA6H2lo8Hu9fr10chDeclyux+7SEHkBew7mQFCPX48kU2zvxm9wTtlgoP2z3TOdzryxfhrj6wZE1ENhlT4Q2vP7zuIOQN3f2/rMafv7C6X7+ljq4RDXl1jQB0jWhK1wgfXSMa8uoaISIiIiIiIvvJ4/HsO2gv+r73E4ttiwkeEkxcG9+d0m1+3EnI4lW43W5SklMOKG+f93NY5llM+LBw4jrsAiApp4DouTm4XC46dU49oLw9PlvLuqqlhA8Lp1XqDgDiNpaQOGMF1dXVHHPMMQeUt8s3G9lRtIzwYeFEddoCQFRuBe2/WEZVVRVdu3YFW4sXPqfjd1sp3f4ToUNDCe20GYCwkhq6TllGZWUlnTp14kD+lNTmx5241v1E0IlBeDtuACCopp4+7yyhoqKC9u3bH9DfqJJyCrAt/wkGQUW7dVb7ca8uory8nDZt2mC3tzxx3MYSIhfk4EpzUdB2s9Xef9IyKkpKiI+Px+FwtDhvVG4FCd/+RFm3MvI77CIo2Pe3nT7v51C9K4/o6GiCg4P3kWVPYSU1tPtqBbva7aKsWxlhkb6/1fX4bC2127cTFhZGWGjYPrLsKaimnq4fL2dT/CZq+tQQ1aoC8I0/94aNOBwOoqOjWpwXoNd/lrEyYiXegV5ik3yrNHT8biu2nLUYY4iLj9tHhubt6xqRlJS0jwzyezugbRqefvppNm3axAsvvLDHFg2/lZ07d9KuXTvmzZvHSSedZLXfc889zJ49mwULFuxxTEhICG+99RaXXnqp1fbiiy/y0EMPkZ+fz7x58xg6dCg7d+6kTZs2Vswf/vAHbDYbH3zwQbO11NbWUlu7+4+i5eXldOjQQds0/A605JmPljzTkmdaFlHLIoKuEbpG6Bqha4SuEb7zfvCuEQ+2f5ywinCirvFy6z9v0zVC1whdI3SN0PsIXSOsFLpG+OgaoWuErhG6RoCuEbpG7P0aMTN7Lg9NfJShQ4fyz6f/gctdRn5hIZf2v4Fj6vrSYWwyf33pVmrLa8nLL8Vl3CSlJBLfKgZvfQ0VhdUU5VUSnhBG9+7dqa1zUuWspDi/HLcXWrdrTVxcLNWuYioKq9m+q5iwuFC6dOmMzVtLbbmLwgInVfW1xLeJJyk+HlNfTVWxi7zcMsLjw+natSseTzVV5RWUFFRQW+chsW0iSYmJVNUWUl1cy5YdBYTGhtCpcypBNg91lS6K8p2U19YQlxxHclISeKqpKnKRl1tKaGwYnbt0xmarp6rCSUl+JS6Xm7iUONq0aUOVq4DqYhfbcotwRDrokNqesGA79dUuSvLLKamqolXrGN/nVO4qqktqyc8tJTgylI6dOxIcDFWVZZQWVFJVUUdscizt27enylVATWktO3aWYEKgXcc2RIaH4K5xUVpQQZGznOjEKNq3bw/uamrKfHkdYcG0T21PeFgwVdWllBVUUFFWR1RSFKmpqVS7iqhxuti5qwS3w0tKuxRiosLxuGpwFlWSV+QkMiGc1NRUcNfgcroo2OXEFuSgTYc2REdFUFldTHlRFWWFNUQkRtClSxdqXCVUO6vJzy/FhYfWbZKIi43GW1dDeVEVufklhMeF0qVLF/C4qHW6KMx34jU2ktsnExcbQ2VD3xfnVxIWH0a3bt2orXdS7ayiIL+MancdCW0SSIyPw9RXU1lUw7adRYS2CqFLl87YTT11Fb7+rK83JLVLIikxgUqXr+/zdpQRFhdGl65d8Hirqa6opCjPSXldDXEpcSQn7u77rTsKCIkNIbVTR4LthvqqGoryK6hzeYhvE09KcnLDmHKRv8NJcGwInTp3wmarp7qqguI8J2U11bRqHUtKSoqv74tdbN9ZhD3iZ+OkoIKaqnpiW/v6vtpVSFWJi8KdThwRwXTo1IHgEKiudFJSUEFxeQUxSdG0a9fO1/elLnbsLMaE2PzGSVlhBZVN+r7GVUxVWQ2Fu5zYQhy069iO8PBgqqvLKCusIL+4nKjECDp27Gj1feM4SW6bTGx0BJ7amj363lVbSlVZFUW7yvE6bNY4qXaVUl5YSW5BKRHxYXTu3BncNb/6GmFv/H+QHBL2ezLCBRdc4Pf1zJkziY+Pp0+fPnvM4vn4448PXoUN6urqiIiIYMqUKYwZM8ZqHzduHGVlZXz22Wd7HNOxY0fuvPNObr/9dqttwoQJfPrppyxfvpxNmzbRtWtXli5dyoABA6yY4cOHM2DAAP71r3/tV23l5eXExsZqMoKIiIiIyGHsqfue4sHHH+TUs0/lyy+/DHQ5IiIiIiIihyxjDEuXLiU1NZWEBN+Eh88//5zRo0eTmprK5s2bsdlsjB07ltiPYulIR0595FSG/9/wAFcuIiK/p/3epqHptgSxsbGcf/75DB8+nMTExD2+91sICQlh4MCBzJgxw2rzer3MmDHDb6WEpk466SS/eIDp06db8Z07dyYlJcUvpry8nAULFuw1p4iIiIiIHJnSL06nhhq+//573O6Wb5MhIiIicjBt2LCBiooK6+utW7eSlpbGkCFD/OLuv/9+0tLSeOONN6y2goIC0tLSOPbYY/1iH330UdLS0njxxRettvLyctLS0khLS6O+fvd2Yv/85z9JS0vj6aefttrq6+ut2PLycqv9xRdfJC0tjUceecTv+Y499ljS0tLIz8+32iZNmkRaWhr333+/X+yQIUNIS0tjy5YtVtv7779PWloaf/7zn/1iTz/9dNLS0lizZo3V9umnn5KWlsb48eP9Ys8991zS0tJYunSp1fbNN9+QlpbG1Vdf7Rc7duxY0tLSmDdvntX2/fffk5aWxiWXXOIXe8UVV5CWlsbMmTOtth9//JG0tDQyMjL8Ym+44QbS0tKYNm2a1ZaTk0NaWhojR470i7311ltJS0tj8uTJVtvGjRtJS0vjlFNO8Yu99957SUtL45133rHacnNzSUtL4/jjj/eLfeihh0hLS+OVV16x2kpKSqz+bOqJJ54gLS3N72a9mpoaK7a6evdWe8899xxpaWk88cQTfjkaY4uLi622V199lbS0NCZOnOgXO3jwYNLS0sjNzbXa3nnnHdLS0vjLX/7iFzt8+HDS0tLYsGGD1TZlyhTS0tK49dZb/WJHjhxJWloaK1assNq++OIL0tLSuP766/1ix4wZQ1paGj/++KPVNnPmTNLS0rj88sv9Yi+99FLS0tL47rvvrLb58+eTlpbG2LFj/WKvvvpq0tLS+Oabb6y2ZcuWkZaWxjnnnOMXe9NNN5GWlsann35qta1Zs4a0tDROO+00v9g///nPpKWl8d///tdq+72vEQ888AADBw70W2H6jDPO4LXXXuPHH3/EZrMxdepUPvroIz5xfMIxNxzDwOsGIiIiR5f9Xqdi0qRJVFdXExERse/g38idd97JuHHjGDRoEIMHD+bZZ5+lqqrKetN45ZVX0q5dOx577DEAbrvtNoYPH87TTz/NOeecw/vvv8+iRYusN1w2m43bb7+dRx55hO7du9O5c2ceeOAB2rZt67f6goiIiIiIHPn69etHXFwcpaWlLFmyhMGDBwe6JBERETlKTZgwgUcffZRHHnmEe++9F/CtHJuTk7PHzWA7duwgJyeHoqIiq83tdpOTk0NQkP+ff3fu3ElOTg4FBQVWm9frJScnB/Dd6dwoLy+PnJwc8vLy/HI0xnq9XqutoKCAnJwchg0b5he7cuVK6uvr/SZ6FhUVkZOTw8CB/h9Krlq1CqfTSV1dndVWUlJCTk4OPXv29Itds2YNO3fuxOVyWW1lZWXk5OTQoUMHv9h169axfv16vw/Qy8vLycnJse7mbrRhwwZycnKorKy02ioqKsjJySEszH8v7k2bNpGTk+M3KaOqqoqcnBw8Ho9f7JYtW8jJycHpdFptNTU15OTk+E04Adi2bRs5OTmUlpZabbW1teTk5JCYmOgXu337dnJycvw+8K+vrycnJ4fw8HC/2NzcXHJycigsLLTaPB6P1Z9N7dq1i5ycHL9JJMaYZsdJfn4+OTk57Nq1yy9HY2zTc1FYWEhOTg4nnniiX+zKlSuprq72+6C7uLjYmrDR1OrVqyksLPTbRrm0tJScnBy6du3qF7t27Vq2bt1KTU2N1eZ0OsnJyfEtid7E+vXrWbVqFVVVVVZb4ziJjo72i924ceMefVdZWUlOTs4ee8xv3rx5j76vrq4mJyfHb/yCbzJBTk4OZWVlVpvL5SInJ8dvm2nY3fclJSVW2+99jWhczbrp+AsLC+Paa6+1vk5PT+fPf/4zUVFRXDLRf0KPiIgcHfZ7mwaAiIgITjvtNEaPHk1GRgbJycm/ZW3NeuGFF/jHP/5BXl4eAwYM4LnnnuOEE04A4NRTT6VTp068+eabVvzkyZO5//772bJlC927d+fJJ59k1KhR1veNMUyYMIFXXnmFsrIyTj75ZF588UV69Oix3zVpmwYRERERkcOfq8zFrSffyraV2xjx+Ig97sISERER+b28++67XHHFFVxxxRW8/fbbgO8DzPnz5xMUFMTw4buXOV+1ahW7du2iW7duvv278X14PWfOHGw2m98d1WvXrmXHjh107tzZtyc3vg+vG+/wHjFiBHa7bzHd9evXs23bNjp27Ej37t0B34eSs2bNAuCUU06xtu/dtGkTmzdvpl27dn4TB2bOnIkxhqFDh1of5m/dupUNGzbQpk0bevfubcXOnj0bt9vNSSedZN0Qt2PHDtauXUvr1q39PpSeM2cOtbW1DB482PqgeOfOnaxevZqEhAS/LXnnzZtHTU0NAwcOpFWrVsDuD9BbtWrlNyliwYIFVFZWMmDAAGuiQlFREcuXLyc6OtpvsuqiRYtwOp3069ePpKQkAGtSa0REhN/Ku0uXLqWkpIQ+ffpYH4KXl5fz448/EhYWxtChQ63Y5cuXU1RURM+ePX17feOb5PDDDz8QHBzstzpC44SB7t27+/bvxjfJYd68edjtdkaMGGHFrl69mp07d9KlSxffntz4Pkz+/vvvAd9qE43WrVvH9u3bSU1NpVu3boBvUsG3334L+P4O3/ih+8aNG9myZQsdOnTw+5t642rEw4YNIyQkBPBNyti4cSNt27alV69eVuysWbPwer0MGTLEmkSxbds21q9fT3JyMn379rViv/vuO+rr6znhhBOIiooCfBMt1qxZQ2JiIv3797di586di8vlYtCgQdYH9Hl5eaxcuZL4+Hi/VQF++OEHqqqqOO6444iLiwN8kyd++uknYmNjGTRokBX7448/Ul5eTv/+/a0JIsXFxSxbtoyoqCjr8wqAxYsXU1ZWRt++fa3PU8rKyli8eDHh4eF+qxgsW7aM4uJievXqRdu2bQHfZJiFCxcSEhLiN9lnxYoVFBQU0KNHD2sCzu99jdi6dStJSUkBvYFVREQOfS2ajLB161amTp3KZ599xpw5c+jfvz+jR49m9OjRe8xQPJpoMoKIiIiIyOHPVebiiTjf8rI/pv/ItOnT9nGEiIiIyK+3ceNGHnnkEcaOHWst2+52u1m+fPkeqweIiBwONm3aRGpqKj+99RPb52/nhFtPIDnt97+5VUREAs/ekuDU1FRuueUWsrOzyc/P5/bbb2fFihUMGzaMLl26cPvttzNz5sw9lqESERERERE51IW1CqPThZ3Y3nU76aelB7ocEREROUq8+uqrvPnmm0yYMMFaAj0oKEgTEUTksFRWVsawYcM4ZdgpfP/k9yx9bSlbZm0JdFkiIhIgLVoZYW/q6+v59ttvmTp1KlOnTqWiooLnn3+eP/7xjwejxkOeVkYQERERERERERGR/bFx40ZCQkKspdULCwu58cYbuffee/22ARARORzNnj2b8847j5TkFKb9exor317J2c+dTVirsECXJiIiAXBQJiP83NKlS3G73Rx//PEHO/UhSZMRRERERERERH5fbrebiooKoqKirD3Lc3Nz+eGHH4iJieGMM86wYj/55BMKCws566yzrD21d+zYwZdffklCQgIXXnihFfv555+za9cu0tPTrb2S8/LymDp1KrGxsVx88cVW7FdffcX27dsZPnw4xxxzDODbW/zjjz8mIiKCyy+/3IqdPn06mzdvZujQofTp0wfw3Tn44YcfEhISwlVXXWXFfvvtt6xbt44TTjjB2vu6qqqK9957D7vdznXXXWfFzpkzh1WrVjFw4EDrLura2lreeustAK677jprb+cffviBn376if79+1v7WXs8Hl5//XUAxo0bR2hoKODb43rx4sX07t2bk08+2Xq+V199FWMMf/zjH4mMjAR8e1wvXLiQHj16cOqpp1qxb775JnV1dVx88cXWXt0rV65k7ty5dOnShfT03avQvPvuu1RXV3PBBRdY+2+vXbuW2bNn06FDB84++2wr9v3336e8vJzRo0dbe69v3LiRGTNm0KZNG8477zwr9qOPPqK4uJhRo0bRvn17wLcP+ddff01SUhLnn3++FfvZZ5+Rn5/PmWeeSadOnQDfHvTTpk0jLi6Oiy66yIr94osvyM3N5bTTTrP2Uy8oKODTTz8lKiqKyy67zIr95ptv2Lp1K8OGDbP2SC8pKWHKlCmEhYVx5ZVXWrEzZsxg48aNnHTSSdaWqBUVFfz3v/8lKCiIa665xor97rvvWLNmDccff7y173lNTQ3vvPMOADfccIMVO2/ePHJycjj22GOtv9fV19czadIkAK655hqCgoIAWLhwIcuWLaNv375+e5m/8sorAFxxxRXWnu5Llixh0aJF9OzZ028f+9dffx2Px8Oll15KdHQ04NvffP78+XTr1s1vf/K3334bl8vFRRddZO3Tvnr1ar7//ntSU1MZOXKkFfuf//yHyspKxowZQ+vWrQFYv349s2bNol27dtYWBwAffvghZWVlnHvuudbe61u2bOF///sfycnJZGRkWLG/5zXi+eef54477uDyyy/nzTffRETkSLR9+3aKioqs/z+JiMhRzLRAx44dzVVXXWXeeusts23btpYcekRzOp0GME6nM9ClHPH+/ve/m8zMTLN69WqrbcWKFSYzM9M88cQTfrFPP/20yczMNMuWLbPa1q1bZzIzM83f/vY3v9jnnnvOZGZmmoULF1ptW7ZsMZmZmeaBBx7wi3355ZdNZmammTNnjtW2c+dOk5mZaf7yl7/4xU6aNMlkZmaamTNnWm1FRUUmMzPT3HHHHX6x7733nsnMzDRfffWV1VZeXm4yMzNNZmamX+zkyZNNZmammTp1qtXmcrmsWJfLZbVPnTrVZGZmmsmTJ/vlaIwtLy+32r766iuTmZlp3nvvPb/YO+64w2RmZpqioiKrbebMmSYzM9NMmjTJL/Yvf/mLyczMNDt37rTa5syZYzIzM83LL7/sF/vAAw+YzMxMs2XLFqtt4cKFJjMz0zz33HN+sX/7299MZmamWbdundW2bNkyk5mZaZ5++mm/2CeeeMJkZmaaFStWWG2rV682mZmZ5u9//7tf7LPPPmsyMzPN4sWLrbYNGzaYzMxMM3HiRL/YF1980WRmZpr58+dbbdu3bzeZmZnmr3/9q1/sa6+9ZjIzM83s2bOttvz8fJOZmWnuuusuv9i3337bZGZmmunTp1ttpaWlJjMz09xyyy1+se+//77JzMw0X3zxhdVWVVVl9afb7bbaP/74Y5OZmWk+/vhjq83tdluxVVVVVvsXX3xhMjMzzfvvv+/3fLfccovJzMw0paWlVtv06dNNZmamefvtt/1i77rrLpOZmWny8/OtttmzZ5vMzEzz2muv+cX+9a9/NZmZmWb79u1W2/z5801mZqZ58cUX/WInTpxoMjMzzYYNG6y2xYsXm8zMTPPss8/6xR6Ma8Rtt93m1yYiIkef+pp6s+7HdWbGjBktOu7RRx816enp5qOPPrLadu7cadLT0825557rF/v000+b9PR085///MdqKykpMenp6SY9Pd0vNisry6Snp5s33njDaquurrZim773e+2110x6errf/0+9Xq8VW1ZWZrW/++67Jj093TzzzDN+zzdq1CiTnp5u8vLyrLYpU6aY9PR089hjj/nFXnDBBSY9Pd1s3brVavv8889Nenq6mTBhgl/sZZddZtLT083atWuttunTp5v09PQ93kdfffXVJj093e//yd9//71JT083t912m1/s+PHjTXp6ulmwYIHV9uOPP5r09HRz4403+sXeeeedJj093e892ooVK0x6erq56qqr/GLvu+8+k56ebr755hurbf369SY9Pd1ccsklfrEPPfSQSU9P93t/vm3bNpOenm7GjBnjF/vEE0+Y9PR08+GHH1ptBQUFJj093Zx99tl+sc8++6xJT0/3e99VXl5u9WfT934vvfSSSU9PN6+88orVVltba8VWVlZa7W+++aZJT0/f4z33mWeeadLT0/3e97///vsmPT3dPPnkk36xo0ePNunp6WbHjh1W26effmrS09P3+H3rD3/4g0lPT/d7P/f111+b9PR083//939+sVdeeaVJT083K1eutNpmzZplTjnlFHPrrbf6xXbr1s0A5vvvv7faJk+ebABz8skn+8UOGjTIAH7vo7/55hsDmP79+/vFDh8+3AB+fTRnzhwDmO7du/vFnn322Qbw+71o6dKlBjBt27b1ix07dqwBTFZWltW2du1aA5jY2Fi/2HHjxhnA77zv2LHDACY4ONgvdvz48Qbw+5krLS01gAFMXV2d1X7XXXcZwNx9991WW21trRXb9H3/hAkTDGBuuukmv+cLCgoygMnNzbXannjiCQOYcePG+cXGxsYawO/3uBdeeMEA5qKLLvKLbdOmjQHM0qVLrbZJkyYZwIwaNcovtrHv586da7V98MEHBjDDhw/3i+3fv78BzP/+9z+rbdq0aQYwxx9/vF/sSSedZADzySefWG2zZs0ygOndu7dfbHp6ugH8fn9esGCBAUxqaqpfbEZGhgH8fj5zcnIMYJKSkvxiL730UgP4XZs3b95sABMREeEXe9111xnAPProo1Zbfn6+1Z9N3XbbbQbw+921srLSim36++F9991ngD2ut42xBQUFVtsjjzxiAHP99df7xYaHhxvAbN682Wp75plnDGAuu+wyv9jExEQD+P3cv/zyywYwGRkZfrGpqakG8Pv7zbvvvmsAc8YZZ/jF9urVywBm1qxZVtsnn3xiADNkyBC/2N/zGrFw4UIDmHPPPdfvOi4iIiIiciQKasnEhauvvppvv/2W999/n7q6Ojp37syIESM47bTTGDFihDUbXeS38sEHH7B8+XIyMjLo2bMnAFu3biUrK4tBgwZxzz33WLEfffQR8+bNIz093bqTJDc3l6ysLHr37s39999vxU6dOpXs7GxOOukk6w6BgoICsrKySE1N5eGHH7Ziv/zySz777DP69+/P0KFDAd8dDVlZWSQmJvL4449bsdOnT+c///kP3bp1Y8SIEYDvjoasrCwiIiL45z//acXOmjWL1157jTZt2nDWWWcB4HK5yMrKAuCFF16wYufMmUNWVhaxsbHWHR9ut9uKfeKJJ6y7WX744QeysrIICgpi7NixVo7G2AkTJlh3KSxevJisrCxqa2v97uJ4+eWXqa6u5q677iIhIQGA5cuXk5WVxWWXXeZ3B8/rr79OUVER48ePp02bNgCsWrWKrKwsMjIy/O7MePvtt9m6dSvjxo0jNTUVgHXr1pGVlUV6ejq33HKLFfvf//6XVatWMXbsWLp37w7A5s2bycrKYsiQIdx5551W7OTJk1m0aBFnn302ffv2BXyzcbOysujfvz/33XefFfvJJ58we/Zshg8fznHHHQf47mjIysqiW7duTJgwwYqdNm0aX375JYMGDeLEE08EfHc9ZWVl0bZtWx599FEr9uuvv2bKlCn06tXLujvE6XRa/faPf/zDip0xYwZvvfUWqamp1p1BVVVVVr8999xzVux3333Hiy++SGJiIqNGjQKgrq7O6s9nnnkGh8MB+O58ycrKIjw83Lrbx+v1WrGPPPIIERERgO/Ol6ysLIwxfndx/Pvf/8btdnPffffRqlUrwLf6TVZWFpWVlVxxxRVW7KuvvorT6eS2226z7lBZsWIFWVlZjB07lmuvvdaKffPNN9m5cyfXXXeddXfSmjVryMrKYtSoUYwfP96Kfffdd9mwYQOXXnopXbt2BXx3PWVlZTF8+HBuu+02K/bXXiOWL1/Ov/71L1asWMGMGTMQEZGjz+ZZm3n79LcpMAW8GfEmZWVl1h3X+7JixQqys7M599xzrTaXy0V2drZ193CjVatWkZ2d7XdnaF1dHdnZ2XvkXbt2LdnZ2dZdzOC7k7kx1uv1Wu0bNmwgOzvbeg/UqDG2vr5+92vdvJns7Gzrrs5GM2fOxOVy4XK5rLZt27aRnZ1NcnKyX+zs2bMpLi6mqqrKasvNzSU7O5uoqCi/2Dlz5rBt2zbKy8uttry8PLKzs627thvNnz+fNWvWUFZWZrUVFhaSnZ1NTU2NX+zChQtZvHix3/vB4uJisrOzKSoq8otdtGgR3333HTfeeKPVVlZWRnZ2Nj169PCLXbp0KdnZ2X53tldUVJCdnU27du38Yn/66Seys7O54IILrLbq6mqys7Ot91CNVq5cSXZ2tt+dvrW1tWRnZxMSEuIXu2bNGrKzs/3uSne73VZ/miYLHa5fv57s7GzrPW3j9xtj3W631b5p0yays7Otu3QbzZgxA4/HQ11dndW2ZcsWsrOzrfdsjb799lvKy8v9+mP79u1kZ2cTHx/vF/vdd9+Rl5dHZWWl1bZz506ys7Ot31sazZ07l40bN+J0Oq22/Px8vvvuO36u8feYpnnbtm3L0KFDrfd3jYYPH067du38xnBSUhIZGRl07tzZL/bkk0+mVatW1p3UAPHx8WRkZPi1AZx44omEhIRYd1IDxMbGkpGRscd5OP7446mvr/d7vsjISDIyMva4Rhx33HGUlZVZd9wDhIWFkZGRYd293qhfv35+738BgoODrbu+bTab1d6nTx8yMjKslRkav98Y2/R617NnTzIyMujXr5/f840ePRqPx0NY2O6llrt160ZGRobf+AM455xzqKqq8nt9nTt3JiMjY4/VNEeOHElpaam1ggJAx44dycjIsFZ8aJSenk6fPn38znHbtm3JyMjY4/o3YsQIOnXqRFJSktXWeFd84++WjYYNG0br1q2t32UBEhMTycjIsJbTbzRkyBAiIyP9fjZatWpFRkaG9ftQo8brd+PvveAbvxkZGX6vF2DgwIFUV1dbv/sAREREkJGRscfPy4ABA8jIyPC7foWEhPjd8d8oLS2NjIwMa2UG+H/27jwsqrL9A/h3WId9lwEUBAEFRUVcI3cTySXNTM1yX9q0rH655YtmuWSmaaZZplm4p6am5jruuKAICiIoiAvIPuzrnN8f83LwvIA6pI7o93NdcznznPs85x6eEw1z7vM8gL6+vhhb8XckAPj4+OC1114TZ2aoUBF7/+8qb29vvPbaa2jZsqUktk+fPigpKRH/5gSARo0aVTuewcHByMnJEf+bBjQ/q9dee03y/z4A6NmzJ1JTUyW/W+vXr19tDt26dYO3t7c40wYAODk5VfnvBXi6vyPatGmDmJiYKjkQEdV1X3/9Ndq0aYOePXsiYm0E8lPz4T/aH6b2pg/fmYiInlu1WqahuLgYJ0+exNGjR6FUKnHmzBmUlpbC29sb3bp1Ey90vSi4TMPTs2LFCqSkpGD48OHiH+bXrl1DaGgonJ2dJV8q/vLLL7h16xaGDBki/rGdkJCAtWvXwsHBAR9++KEY+9tvv+HGjRsYOHCg+EXLnTt3sGrVKlhbW2Py5Mli7IYNG3D16lX069dP/AO6onDB1NQUU6ZMEWO3bt2KqKgo9OrVCx06dAAAZGVlYcmSJTA0NJQURPz111+4cOECunfvLl68zs/PxzfffAMAmD17thi7d+9ehIWFoWPHjuLF65KSEvFi+IwZM8QvBw4ePIjjx4+jffv2kmktKy6yf/755+IXQ8eOHcOhQ4fQqlUryZcXX331FUpLS/Hxxx+LUyaePn0a+/btg5+fn6TIYcGCBSgoKMAHH3wgfgETHh6OnTt3okmTJhg6dKgYu3jxYmRnZ2P8+PHiF7qRkZH4888/4eHhgREjRoixP/zwA9LS0jBy5Ejxi4CYmBhs3LgRDRo0kExT+tNPP+Hu3bsYNmyY+KXM9evXsW7dOigUCsmF7jVr1iAxMRFvvvmm+IVcUlISVq9eDVtbW8mF7j/++ANxcXHo37+/OMVYcnIyVq5cCQsLC3z22Wdi7KZNmxAdHY3evXuL6z1mZGRg6dKlkMvlVQoiIiIi0LNnT7HAJScnB4sWLYKenl6Vgohz586hS5cuYoFLYWGhWATzn//8R/wS6Z9//sGpU6fw0ksviV92l5eXi8U1U6dOFafWPHLkCJRKJdq0aSO5gDJ79myo1Wp8+umn4u+3kydPYv/+/WjZsqVkStN58+ahqKgIkyZNEotWzp49i7///hu+vr6SIodvv/0Wubm5ePfdd8Uv+i5evIgdO3bAy8tL8qX/999/j8zMTIwZM0b8AufKlSvYvHkzGjZsiFGjRomx//Z3xJ49e/B///d/GD9+vGTsiYjoxZGVkIWlHktRoFeAgy0OYvuO7ZILCPfbvXs3pk2bhu7du2PJkiU4ceIEbt68iYCAAPECQ15eHv766y8YGBhI/l8YFhaG69evo0WLFuKFs8LCQmzbtg0AMGzYMDH2/PnziI2NRbNmzcQLrKWlpdi8eTMAYPDgweLFyYiICFy5cgVNmjQRP6sKgoD169cDAAYOHCheQIyKikJkZCQ8PT0lF3s2btyI8vJyvPbaa2JBQUxMDC5cuICGDRuKn1cAzefd4uJi9OnTR7ygFhcXh7Nnz6J+/fro3LmzGLtjxw7k5+ejV69e4meFhIQEnDp1Ck5OTpLCjF27diEnJwc9evQQLwzdunULx44dg4ODA3r27CnG7t27F5mZmejatat4Eeju3bs4cuQIbGxsxAJOQFMsnJqaio4dO4rjmpqaigMHDsDCwgL9+vUTYw8fPozk5GR06NBBLNjIzMzE3r17YWJiIik8OHbsGG7duoU2bdqInz9zcnKwa9cuGBkZSaZ2P3XqFBISEuDv7w9fX18AmsKF7du3Q09PT/J5+ezZs4iLi4Ofn5/4d0pxcTG2bt0KABg6dKhYyHHhwgXExMTA19dX/KxaXl6OjRs3AgAGDRok/o0QGRmJqKgoeHt7Sy4Ir1+/HoIg4PXXXxc/J165cgURERHw8PAQ/6YBNNOfl5aWol+/fuIFxNjYWJw/fx6urq7o2LGjGPvnn3+iqKgIr776qvj3xPXr1xEWFgYXFxfJtP5//fUX8vLy0LNnT/Hi8c2bN3HmzBm4uLhIzr+cnBzI5fIqRRxERERE9HQdP35c/E77ctRlHOp/CFnXs9D3l75oNabVQ/YmIqLnWa2KEf5XVlYWFi1ahGXLliEvLw/l5eWPI7c6g8UIRERERETPB0EtID8tH/qW+uLF2JqsWLEC77//PgYMGCAWERAREREREb1ICgsL0aJFC8TFxWHs2LH4acVPiPgtAlF/RGHo7qEwMmPhKBHRi6xWxQglJSU4ffo0lEqlODOCi4sLOnXqhM6dO2P48OFPItdnFosRiIiIiIhePMnJybhy5QqsrKyqTDdORERERET0Ivj888+xcOFCuLi4iH8fERERVdCqGOHLL78Uiw/c3NzE4oPOnTtXWRPtRcJiBCKi50t+fj5kMplkfVMiInoxFRQUwMjIqMoa7URERERERC+6s2fPokOHDlCr1di1a5dk+VciIiIA0NMmeNasWbhx4wYWLVqE48ePY+XKlRg6dOgLXYhARETPl6FDh8Lc3FxcW5uIiF48t8Nu4+/3/8Z4v/GwtrZGWFiYrlMiIiIiIiJ6phQXF2P06NFQq9UYNmwY+vTpg6j1Ubj611Woy9S6To+IiJ4RWhUj7N27F0OGDMHatWvh7OwMPz8/TJw4EVu3bkVaWtqTypGIiOipsbW1BQDcvn1bx5kQEZGuZF7PxPkV52GdYo3S0lIolcpq4w4fPow9e/YgNTX16SZIRERERESkY19//TWuXLmCevXq4fvvv4e6TI0D/3cAm/pvQsz2GF2nR0REzwitlmm4X25uLo4fP46jR4/iyJEjuHTpEjw9PdG1a1f88MMPjzvPZxqXaSAien6kpaXBwMAANjY2uk6FiIh0JDM+Exd/vYjI1Eh8svoTdOvWDYcOHaoS1759e5w5cwY7duzAa6+9poNMiYiI6Hm3ceNGHD16FCtWrBDbZsyYgbi4OK366d27N0aMGAEAyMjIwHvvvQcDAwPJrIALFixAeHi4Vv127NgREydOBACUlpZi2LBhAIC1a9eKSx+uXLkShw8f1qrfFi1aYMaMGeLrESNGoLCwEEuXLoVCoQAArF+/Hjt27NCqX3d3dyxYsEB8PXHiRNy7dw9fffUVvL29AQC7d+/GunXrtOrX1tYWK1euFF9XjNHnn3+O1q1bAwCOHTum9ffmNY3RhAkT0L17dwBAREQE5s6dq1W/QPVjNHToUAwYMAAAcOPGDUydOlXrfqsbo+rOP21VN0Y1nX/aqG6Majr/tFHdGNV0/mmjujGq6fzThra/IwRBwI4dO1BWVoYtW7bgjTfeQHFuMY59dQxxf8dhfPh4GBhzqTsiIgIg/EtlZWXCqVOnhKlTpwqWlpaCnp7ev+2yzlGpVAIAQaVS6ToVIiIiIiJ6TK5cuSIAEORyuVBUVFRl+8iRIwV/f3/h7NmzOsiOiIiInndJSUmCkZGRoFAohPLycrG9ffv2AgCtHpMnTxb3v3XrlgBAMDIykhyvb9++Wvc7bNgwcf+ioiKx/f7vSceMGaN1vz179pTkZmFhIQAQ4uLixLapU6dq3a+/v7+k30aNGgkAhFOnToltixYt0rpfFxcXSb8VY/TXX3+Jbb///rvW/dY0Rj///LPYtm/fPq37rWmM5s6dK7aFh4fXqt/qxqi680/bR3VjVNP5p82jujGq6fzT5lHdGNV0/mnzqG6Majr/tHnU9nfE66+/LvwvtVpdpY2IiF5cWpemqdVqnD9/HkeOHIFSqcTJkyeRn5+P+vXrY8CAAejatau2Xb4Q1Go1SkpKdJ0GPacMDQ2hr6+v6zSIiIiInis+Pj6oV68eUlNTcfbsWXTs2FGyfc2aNTrKjIiIiF4EJiYm+OCDD7B161bo6VWutvvpp59qfTd1ixYtxOfW1tb44YcfJH0Cmju5g4KCtOq34k51QHMXf8Wd/3K5XGx/66234O/vr1W/DRo0kLz+9ttvUVpaCnt7e7GtX79+qF+/vlb93r8/AMyaNQsqlQru7u5iW7du3bSewcDMzEzyumKM/Pz8xLY2bdpo3W9NY/TSSy+JbT4+PrWaqbi6MWrfvr3Y1qBBg1r1W90YVXf+aau6Marp/NNGdWNU0/mnjerGqKbzTxvVjVFN5582avM7wtjYGIMHD67Sl0wm0+rYRET0fNNqmYbg4GCcOnUKubm5cHZ2RteuXdGlSxd07doVHh4eTzLPZ9rDlmkoKSlBQkIC1Gq1DrKjF4W1tTUUCgU/7BH9S6Wlpfj222+RmJiI77//XvLHORERvTjKS8uRdT0LH332Edb/vR6zZ8/Gf/7zH12nRURERC8gQRD4fQ8RPdOu/nUVtp62qNe0nq5TISKiZ4xWxQhDhw5F165d0bVrV3h5eT3JvOqUBxUjCIKApKQklJaWwtnZuUo1IdG/JQgCCgoKkJqaCmtrazg5Oek6JaI6TRAEWFhYID8/H7GxsZIqeyIienHsmbgH5344B9Oepvh8/+fo2rWr1msdExERERERPe/KisrwXf3vUJhRiJFHR8Ktk5uuUyIiomeIVss0bNiw4Unl8dwqKytDQUEBnJ2dYWpqqut06DllYmICAEhNTUW9evW4ZAPRvyCTyTBp0iQYGhrC3Nxc1+kQEZGO2De2h6GZIeo7aab+PX36NIqKisQZc65fv47XXnsNDRs2xO7du3WZKhERET1nbt68iffffx8zZ86UTMlORPQsKswshFsnN6REpKBBYIOH70BERC8UrWZGAAC1Wo21a9di27ZtSExMhEwmg7u7O9544w288847L+SUYQ+aGaGoqAgJCQlo2LCheMGY6EkoLCxEYmIi3N3dOa08ERER0b9UXloOPQPNrGbOzs5ISUmBUqlE586dAQCnTp1CYGAgPDw8cP36dV2mSkRERM+Z8ePH4+eff0b37t1x8OBBXadDRPRIyorKYCDX6v5XIiJ6AWi1ZoAgCOjbty/Gjh2LO3fuwM/PD02bNsXNmzcxcuRIDBgw4EnlWee9iEUa9HTxHCMiIiJ6fPQN9SGTySCTydClSxcAgFKpFLf7+vriwIEDWLFihW4SJCIioudSQkIC1qxZAwCYPXu2jrMhInp0LEQgIqLqaFWMsHbtWhw/fhyHDh3CxYsXsWHDBmzcuBGXLl3CwYMHcfjwYaxbt+5J5UpERPTUFBQU4O7du7pOg4iIngHVFSNYW1ujR48e6Nmzp26SIiIioufS119/jbKyMrzyyisIDAzUdTpERA+UeDQRRaoiXadBRETPMK2KETZs2IDp06eja9euVbZ169YNU6dORWho6GNL7kVw7949XLp0SXwdGxuLmzdvAgBKS0tx4cIFqFQqAEBaWhouXrwoxsbFxSEhIQEAUF5ejgsXLiArKwsAkJGRgQsXLqBiFY6KPoiI6OF2794NMzMzzvhDRPSCO7XoFP4I+gNNjJoAAE6fPo2iIn7RRkRERE/GjRs3sHbtWgCcFYGInn0leSXY0HcDvnP+DulX03WdDhERPaO0KkaIjIxEr169atweHBwsubBO1cvNzYVSqURubi7WrVsnKe4YOXIk5syZAwBIT09HQEAATpw4AQDYvHkz2rdvL8a+9957mD59OgAgPz8fAQEB4jpyu3btQkBAAMrLy5GWloZ33nkHSUlJT+st1imxsbFQKBTIzc3VdSo1WrlyJfr27avrNIheGC4uLgA0hV1ERPTiSg5PxvX916F/Tx9OTk7Q09PD1atXAQAXL17E33//LRYHExEREf1bX331FcrLy9GrVy906NBB1+kQET2QKkkFK1crWNa3hF1jO12nQ0REzyitihEyMzPh6OhY43ZHR0fxznyqWVxcHLp27Yq4uDgMHz4cR44cEbetXbsWM2fOBADY29sjPDwcL7/8MgDgzTffRFhYmBi7YsUKzJ07FwBgZmaG8PBw9OjRAwDQt29fhIeHQ19fHzk5OSgtLUVpaanWuZ4+fRr6+vro3bt3rd9vTdauXQtra2ut91MqlZDJZMjOzn4seUybNg0TJ06EhYUFAE1xQteuXeHo6Ai5XA4PDw988cUXkp/frFmz0LJlyyp9JSYmQiaTISIiQmybNGkSAgICYGxsXO0+RUVFGDlyJPz8/GBgYID+/ftXiRk9ejQuXLiA48eP/9u3S0SPoFmzZsjMzERcXJyuUyEiIh3yH+2Pfqv7wed1HyiVSmRnZ4uf51auXIk+ffpwmToiIiJ6LOLj48XPFZwVgYjqAgdfB7wX9R5GHh0JmUym63SIiOgZZaBNcHl5OQwMat5FX18fZWVl/zqp552vry/i4uJQv359yOVySYFH48aNxeeGhoZo1aqV+NrBwQEODg7iay8vL/G5vr6+JNbOzg52dppqxEaNGmHv3r21ynX16tWYOHEiVq9ejbt378LZ2blW/TyrkpKSsHv3bixbtkxsMzQ0xPDhw9GqVStYW1vj0qVLGDduHNRqtVj8oa3Ro0fjzJkziIyMrLKtvLwcJiYmmDRpEv78889q9zcyMsJbb72FpUuXomPHjrXKgYgenaGhIWxsbHSdBhER6ZhHDw/xuR2kd/rUr18frVq1goeHx//uRkRERKS1ilkRXn31VbRt21ayLez7MKhuquA/2h/1mtUDAGTEZeD8ivMwV5gj8PNAMfbcinPIjMtE87ebw6mVEwAg+2Y2znx/Bia2Juj0RScx9sLqC0i7koamg5uifrv6AIDc5FycWngKRuZG6Ppl5Wyul36/hJSLKWjSvwncOrkBAAoyCnD86+PQN9ZHj3k9xNjLGy/jztk78HrVS/w8VZxbDGWIEpABQYuCxNiY7TFIOp4Ej1c84BWs+a6zrKgMh6YfAgD0WNAD+ob6AIBrf19DwqEEuHV2Q5PXNMtoCWoB+z/bDwDoOqcrjMyMAADX919H/L541O9QH00HNRWPd+DzA1CXqdFpZieY2JgAABKViYjdGQunACc0H9ZcjD38xWGUFpQicEogzB3NAQC3Tt1C9NZo1POrB/9R/mLs0S+Poii7CO0nt4dVAysAwN3zdxG1Pgp2je3QekJrMfbE/BPIT81Hmw/awLaRLQDgXuQ9RKyNgLW7NdpNbCfGnv7uNHJu56DVuFZw8NF8L5x+NR3hq8Jh4WKBlz59SYw9+8NZZN3IQosRLaBooQAAZN3IwtkfzsLUwRQdp1V+pxi+KhzpV9PRbGgzuLTRzA6ZczsHp787Dbm1HJ3/01mMjVgbgXuR9+Az0Aeuga4AgPzUfJyYfwIGJgbo/nV3MTZqfRTunr+Lxv0ao2GXhgCAwqxCHJtzDDJ9GXou7CnGRm+Nxq1Tt+DZyxONejYCAJQWlOLwF4cBAD2/7QmZnuYC99W/ruLm0Ztw7+YO7z7eAAB1mRoHPj8AAOg+tzsM5JrrFnF743DjwA24vuwKn9d9xOP98+k/gAB0mdUFxpbGAIAbh24g7u84uLR1QbMhzcTYg9MOory4HB2nd4SpvSkA4Obxm7i6/SoULRVoMbyFGHsk5AhKckvw0mcvwcJZc7Pb7TO3cWXTFTj4OqDV2Mrv7I99fQyFGYVoN6kdrBtaAwCSLyYj8vdI2Hraos37bcTYkwtPIi85D63fbQ07b83fIqlXUnFx9UVYuVqh/ceVMyjr8neETCaDucIcRERENdFqZgRBEDBy5Ei8/vrr1T5Gjx79pPJ8rsjlcnh6ekIulz+V4wmCgLKyMgiCoNV+eXl52LRpE9577z307t1bXLPufrt27UKbNm0gl8thb28vWV+9uLgYn332GVxcXGBmZoZ27dpBqVQC0MxuMGrUKKhUKshkMshkMsyaNQsA8Pvvv6N169awsLCAQqHAW2+9hdTUVACamQcqlrWwsbGBTCbDyJEjAQBqtRrz5s2Du7s7TExM0KJFC2zduvWB73Hz5s1o0aKFOCU7AHh4eGDUqFFo0aIF3Nzc0K9fPwwbNqzWsxIsXboUH3zwQY1fVJuZmWHFihUYN24cFApFjf307dsXO3fuRGFhYa3yICIiIqLHZ+bMmQgPD8c777yj61SIiIiojouLi8Pvv/8OAOL3Y/e7svEKwhaHIetG5Yy0ObdyELY4DJG/S298idkag7DFYUiPrVy/PS8lD2GLw3Dx14uS2Ni/YhG2OAypl1PFtoL0AoQtDkP4T+GS2Pg98QhbHIaUiBSxrVhVjLDFYTj3wzlJ7PUD1xG2OAx3zt0R20oLShG2OAxhi8MksYlHEhG2OAy3Tt0S28pLy8VYdZlabE86kYSwxWG4efSmpI+K2LKiypvkbp+5jbDFYbhx8IYk9uyyswhbHIaS3BKxLflCMsIWh+H6vuuS2PMrziNscRgKMyu/i7sXdQ9hi8Nwbdc1SeyFXy4gbHEY8lPzxba0mDSELQ7D1W1XJbGXfruEsMVhyL1TuWRsZnwmwhaHIXpztCQ2KjQKYYvDkJ2YLbZl38xG2OIwRIVGSWKvbNacJ5nxmWJbzh3NeXJprXRp5avbr2rOk5jK8yQ/NR9hi8Nw4ecLkthru64hbHEY7kXeE9sKswoRtjgM51ecl8TG79OcJ3fD74ptJXklCFschrNLz0pibxy6gbDFYbgddltsKysqE8fz/u+ybx67qRn745Vjry5Xi7HlJeVi++3TmrFPOCJdTu3MkjOasc+vHPu75+9qxn6/dOzPLT+HsMVhKFIViW0pESkIWxyGuL+ls2heWKUZ+4L0ArEt7Ypm7GP/ipXERvwaoRn75Mqxz7iWoRn7rdKxj/w9EmGLw6C6pRLbsm5kIWxxGC5vuCyJfRZ+RxAREdVEq5kRRowY8dCY4cOH1zqZF8WtW7ewcOFC/N///R8aNGjwxI938eJFBAQEIDw8XDJ7wsNs3rwZTZo0QePGjfH222/j448/xrRp08Qpl/7++28MGDAAM2bMwLp161BSUoI9e/aI+3/44YeIjo7Gxo0b4ezsjO3bt6NXr16IiorCSy+9hCVLluA///kPYmM1H8rMzTUVlKWlpZgzZw4aN26M1NRUfPLJJxg5ciT27NmDBg0a4M8//8TAgQMRGxsLS0tLmJhoqpjnzZuHP/74AytXroSXlxeOHTuGt99+Gw4ODujcuTOqc/z4cbRu3brabRXi4+Oxb98+vP7664/8s3sSWrdujbKyMpw5cwZdunTRaS5EL4Jt27bhn3/+QZ8+fdC3b19dp0NERDqSeT0T6VfT4dbJDfMWzcPmzZvxww8/oFu3brpOjYiIiJ4Tc+bMgVqtRp8+fdCmTZsq25sPbw63Lm6w9bQV26zcrBA4tfKO/QrNhjaDc1tnOPhWzq5q4WSBwKmB4kwAFXzf8IVDUwc4Nq+ctdXMwQyBUwNhZG4kifXu5w2rhlZwCnAS2+TWcgRODYS+kb4k1utVL5jVM0ODDpXfexqaGiJwamCVqdw9XvGAoZkh3Dq6iW36RvoInKq5k1vPoPJeuoadGwIAXF92lfRREVtxZzwAuAa6InBqIFzaukhiO3zWAeoytXhnPAA4t3FG4NRAOPk7SWLbfdwOpQWlMLUzFdsULRUInBqIek3rSWLbvN8GRaoiyR3i9ZrWQ+DUQNh5SWfYajWuFfLT8mHZwFJss/O2Q+DUQPFu+QotRraAR08P2HhUzt5o426DwKmB4l34FfyG+aFBYAPYN7YX2yzrWyJwaqB4d38F3zd94djSUbyLHgDMHDVjL7eS3kDXZEAT2HrbSn4+JrYmCJwaCEMTQ0msdx9vWLhYSH7uxhbGCJwaCD196X2RnkGekFvL0SCw8jwxkBuI43n/ueLezR36RvrirBwAoKevJ8befw66dtSM/f3nHwAETgmEIAji7BkAUL99fQRODYRzgHQ24A6fdEBZcRnk1pU/C+cAzXni6CddxrrtxLYozi2GqUPlz9ixuSMCpwbCvom9JDbg3QAUZhZKxs7BxwGBUwMlYwwA/mP8kZeSB2s3a7HN1tMWgVMDxdk3KjwLvyOIiIhqIhO0vV2eqsjJyYGVlRVUKhUsLS0l24qKipCQkAB3d3dxJoTo6GgMGTIEGzduhK+v7xPPLyMjA7t27ULfvn3FpRseRWBgIN5880189NFHKCsrg5OTE7Zs2SJeCH/ppZfg4eGBP/74o8q+SUlJ8PDwQFJSkmRphx49eqBt27aYO3cu1q5di48//hjZ2dkPzOP8+fNo06YNcnNzYW5uDqVSia5duyIrKwvW1tYANLMw2Nra4uDBg+jQoYO479ixY1FQUID169dX23fLli0xcOBAzJw5s8q2l156CRcuXEBxcTHGjx+PFStWQE9P86F51qxZmDNnjlgIUUEQBBQUFODixYviesIVZs2ahR07diAiIqLG9zpy5EhkZ2djx44d1W63tbXF4sWLqy0Mqu5cI6Lamzx5MpYsWYJPP/0U3377ra7TISIiHfne/XtkJ2Zj5LGRmPHTDISGhuKLL77AnDlzdJ0aERERPQdiY2Ph6+sLtVqN8+fPIyAgQNcpERERERE9NlrNjECPh6+vLyIjIx8e+JjY2dmJSxk8qtjYWJw9exbbt28HABgYGGDw4MFYvXq1WIwQERGBcePGVbt/VFQUysvL4e3tLWkvLi5+aEFEeHg4Zs2ahUuXLiErKwtqtWY6tqSkpBqLN+Lj41FQUIBXXnlF0l5SUgJ/f/9q9wGAwsLCGi/cb9q0Cbm5ubh06RL+7//+D99++y0+//xzcXvjxo2xc+dOyT537tx5orMWmJiYoKCg4OGBRPSvBQcHw9LSssaZVYiI6MWg8FfA2NIY5cXl+OCDD/DGG2+gY8eOaNWqFSwsLLB161Y4ODg8vCMiIiKialTMitCvXz9JIYIgCAhbEoaGnRtC4a+oMqMAEREREVFdUKtihAEDBlT7AVgmk0Eul8PT0xNvvfUWGjdu/K8TpH8vKysLBw8eRI8ePWBjY/PwHQCsXr0aZWVlklkNBEGAsbExfvjhB1hZWVWZFeB+eXl50NfXR3h4OPT1pVO1VSzHUJ38/HwEBQUhKCgIoaGhcHBwQFJSEoKCglBSUlLjfnl5eQA0S0e4uEinXzM2Nq5uFwCAvb09srKyqt1WsYSGr68vysvLMX78eHz66afi+zEyMoKnp6dkHwODJ1vfk5mZyS+7iZ6Snj17omfPnrpOg4iIdGzwtsHicw94AIA4ExYAzkhFRERE/8qnn36K3NxczJo1S9KefjUd+z/ZD30jffxf+v/B2KLm77eIiIiIiJ5Veg8PqcrKygqHDx/GhQsXIJPJIJPJcPHiRRw+fBhlZWXYtGkTWrRogZMnTz7ufJ8LUVFRqF+/PqKiop7K8RISEvDmm28iISHhkeLLysqwbt06LFq0CBEREeLj0qVLcHZ2xoYNGwAAzZs3x6FDh6rtw9/fH+Xl5UhNTYWnp6fkoVAoAGgu5peXl0v2u3r1KjIyMjB//nx07NgRTZo0QWpqqiTGyEizHtX9+/r6+sLY2BhJSUlVjldRVFBTntHR0Q/9majVapSWloqzNOjC9evXUVRU9MCZHoiIiIjoyTM0NMTBgwexadOmBxbaEhERET2Mv78//vrrryrf96jL1GgyoAm8+3qzEIGIiIiI6qxa3catUCjw1ltv4YcffoCenqaeQa1W46OPPoKFhQU2btyId999F1OmTMGJEycea8LPA3t7e/Tu3RvJycnw8/MDAERHR8PCwgINGjRAUVERoqOj4eXlBQsLC9y7dw8pKSlo0aIFAM0SCnK5HG5ubigtLUVUVBQaNWoEKysrpKWl4fbt2+IfMHFxcbC0tIRKpYKZmdkj5bd7925kZWVhzJgxsLKykmwbOHAgVq9ejXfffRchISHo3r07GjVqhCFDhqCsrAx79uzBlClT4O3tjWHDhmH48OFYtGgR/P39kZaWhkOHDqF58+bo3bs3GjZsiLy8PBw6dAgtWrSAqakpXF1dYWRkhGXLluHdd9/F5cuXq6zH6+bmBplMht27d+PVV1+FiYkJLCws8Nlnn2Hy5MlQq9V4+eWXoVKpcPLkSVhaWmLEiBHVvtegoCCMHTsW5eXl4owHoaGhMDQ0hJ+fH4yNjXH+/HlMmzYNgwcPhqGh4aMP9H/Fx8cjLy8PKSkpKCwsREREBABNAUVFYUV0dDRKSkqQmZmJ3NxcMaZly5ZiP8ePH4eHhwcaNWqkdQ5EVDuFhYVITExEo0aNxP9eiYjoxRYdHY3NmzfD1dUVo0eP1nU6REREVEcJgvDApRcc/RwxeNtgCILwFLMiIiIiInq8ajUzwurVq/Hxxx+LhQgAoKenh4kTJ2LVqlWQyWT48MMPcfny5ceW6PPEyckJTk5Oki8vhwwZgoULFwIAbt++jYCAAISHhwMA1q1bh65du4qxI0eOFC/Qp6enIyAgQCz62Lx5M9q3by/Gvvfee5g5cyYsLS2rLJdQk9WrV6NHjx5VChEATTHC+fPnERkZiS5dumDLli3YuXMnWrZsiW7duuHs2bNi7Jo1azB8+HB8+umnaNy4Mfr3749z587B1dUVAPDSSy/h3XffxeDBg+Hg4IBvvvkGDg4OWLt2LbZs2QJfX1/Mnz8f3377rSQHFxcXzJ49G1OnToWjoyM+/PBDAJo19mbOnIl58+bBx8cHvXr1wt9//w13d/ca32twcDAMDAxw8OBBsc3AwAALFixA27Zt0bx5c8yePRsffvghfvnll0f6+f2vsWPHwt/fHz/99BOuXbsGf39/+Pv74+7du2LMq6++Cn9/f+zatQtKpVKMud+GDRswbty4WuVARLXj6uoKX19fxMbG6joVIiLSkZL8EqzvvR7LvJahrKgMYWFhmD17Nn799Vddp0ZERER12PDhw/H+++9Lvh+qzoMKFoiIiIiInnUyoRbltTY2Nvjtt9/Qr18/SfvOnTsxYsQIZGVlIS4uDm3btkVWVtZjS/ZZlZOTAysrK6hUKlhaWkq2FRUVISEhAe7u7pL1ZJOTk5Genv5UZkYwMDB44AX5F93y5cuxc+dO/PPPP7pOpUZXrlxBt27dcO3atWqLRICazzUiqr3WrVvj2rVr+OuvvyRFYURE9OIQBAELbBagWFWM96LeQ75ZPjw8PGBgYIBTp06hTZs2uk6RiIiI6pjr16/D09MTAHDp0iU0b95csj07MRtyGznkVvx+h4iIiIjqtlot0/DOO+9gzJgxmD59uvjl27lz5zB37lwMHz4cAHD06FE0bdr08WX6nKmYHaGCr6+v+Fwul6NVq1bia0dHRzg6OoqvGzduLD43NDSUxDo4OMDBwUF87eXl9dhzf95MmDAB2dnZyM3NhYWFha7TqVZycjLWrVtXYyECET0Zx44dg4mJCe9EISJ6gclkMvRb3Q+m9qaw8bCBg4kDbG1tkZmZicmTJ3NZOiIiItJao0aNoFQqcfz48SqFCADwzyf/4Nrua+j7c1+0HNHy6SdIRERERPSY1KoYYfHixXB0dMQ333yDe/fuAdBcMJ88eTKmTJkCAOjZsyd69er1+DIlekIMDAwwY8YMXafxQD169NB1CkQvJFNTU12nQEREzwDfgb6S102bNsXx48ehVqt1lBERERHVdZ07d0bnzp2rtAuCgJxbOVCXquHo51jNnkREREREdYdWxQgFBQUwNTWFvr4+ZsyYgRkzZiAnJwcAqixP4Orq+viyJCIiIiIiekaMHj0ax48f13UaREREVAc9bGZOmUyGcefGISMuA7aetk8xMyIiIiKix0+rYgR7e3t069YN/fr1Q79+/aBQKKoUIRARET0vbty4gW+++QYymQwrVqzQdTpERKQjJXkluHXqFgoyCuA31A9dunQBoFmqLi8vD+bm5rpNkIiqSE1NxZ07dx4p1t/fX3x+48YNqFQqNGjQAPb29gA0Fw7j4+O1zsHPzw8GBpqvXZKSkpCRkQEnJycoFAoAQGFhIa5evap1vz4+PpDLNevI3717F/fu3YO9vT0aNGgAACgtLcXly5e17tfLy0v8fZaWlobbt2/D2toa7u7uADR3a0dERGjdr7u7O6ytrQEAWVlZSExMhLm5uWRZycjISJSXl2vVb3VjJJfL4ePjI8ZER0ejuLhYq36rGyMDAwP4+fmJMdeuXUN+fr5W/dY0RtWdf9qoaYyqO/+0UdMYVXf+aaOmMaru/NNGTWNU3fmnrcf5O+LWrVsYNmwYJk2ahK+++uqBSwLaedlpnSsRERER0TNH0MLNmzeFpUuXCt27dxeMjY2Ftm3bCl999ZUQGRmpTTfPHZVKJQAQVCpVlW2FhYVCdHS0UFhYqIPM6EXCc43o8bty5YoAQLCystJ1KkREpEOpV1KFWZglzLWYK6jVakEQBKFhw4YCAGHfvn06zo6I7nf58mVh+PDhgoGBgQDgoQ89PT3J/q+//roAQFixYoXYdvDgwUfq638f6enpYh8TJkwQAAhffvml2BYZGVmrfmNiYsQ+vvjiCwGA8OGHH4ptycnJter32LFjYh9Lly4VAAiDBw8W28rKymrV79atW8U+NmzYIAAQunXrJvm529raat1vdWPUrFkzSb+NGzfWut/qxsjR0VHS78svv6x1v9WNUU3nnzaPmsaouvNPm0dNY1Td+afNo6Yxqu780+ZR0xhVd/5p83hSvyOGDh0qVEetVoufNYiIiIiIngdazYzg6uqKiRMnYuLEiVCpVNizZw/++usvLFy4ELa2tuKMCZ07d4a+vr42XRMRET1z3N3dMXPmTLi7u0OtVkNPT0/XKRERkQ7YetrCoakD7LztUFpQipHjRqKwsBAAoFQqERQUpOMMiQgA9u/fL/nv0cnJ6aGf3/53u62tLVxcXGBmZia2GRsbw8XFRet87u/b2toaLi4ukqnZDQwMatVvxd3ugGbJTBcXF/HO74rj1qZfIyMj8bmZmRlcXFxgayudIr42/ZqYmEieu7i4iHeUV3BycpLEPYrqxsjR0VES4+joiLy8PK36rW6MHBwcJDEODg5a/yyqG6Oazj9t1DRG1Z1/2qhpjKo7/7RR0xhVd/5po6Yxqu7808aT+B1hZ2eHr776qtptyReSseWNLWj2VjN0/7q7VrkSERERET2LZIIgCP+2k9LSUhw5cgS7du3Czp07kZubi2XLlmHYsGGPI8dnXk5ODqysrKBSqaosW1FUVISEhAS4u7uL09gRPQk814iIiIieDi8vL3E65nbt2iEsLEzHGRG9mNRqNe7cuSNOfV8x1Xvbtm0xZcoUtGnTRscZEhFpRzlLiaOzj8LndR+8+eebuk6HiIiIiOhfeyzFCP/r4sWLKCsre2H+8GcxAj0LeK4RERERPR3Hjx9HVFQUPvjgA+jr6yMrK0tyJy0RPXkxMTEYNGgQCgsLERsbK96tnZeXJ647T0RU15Tkl+DGwRswtTeFa6CrrtMhIiIiIvrXtCpGSEpKeqQ4V9cX68NybYoRkpKSkJ6eXm1/dnZ2cHNzQ2FhIWJiYuDt7Q1zc3Pcvn0bqampD8zF3d0dNjY2uHfvHpKTk9GyZUsAQGpqKurVq/fv3ig901iMQPRkFBYW4ubNm5DL5WjYsKGu0yEiIh0TBAEymQwA0KhRI9y4cQN79uxBcHCwjjMjev7d/99ffn4+3NzcUFJSghMnTqB58+Y6zo6IiIiIiIiI/pfBw0Mqubu7i88rahgqvgioaJPJZCgvL39M6T2fkpKS4OPjg4KCgmq3jxkzBr/88gtu3LiBgIAAnDp1Ch06dMB3332HxYsXP7DvzZs3Y9CgQQgNDcWsWbOQk5ODtLQ0dO3aFXv37n3hCkUeRWxsLDp37oy4uLinfkdbeno6fH19ceHCBdSvX/+pHpuIHs3s2bOxYMECTJw4EUuXLtV1OkREpCPXD1zH3ol7Yetpi7d2vwUA6NKlC27cuAGlUong4GCoVCrExsbCxMQEfn5+4r6RkZEoKirS6nj169eHs7MzAKCgoACXL1+GoaEh/P39xZjo6Git10J3dHSEm5sbAKCkpAQRERGQyWSSWe3i4uKQlZWlVb+2trbw9PQEoJk6//z58wCAVq1aiXesJyQkIC0tTat+LS0t0aRJE/F1eHg4ysvL4efnJ64DfuvWLSQnJ2vVb01j5OPjI/5NkJKS8sgF+RVqGiNPT09xXfeMjAxcv35dq35rGqOGDRuKRecV55+2qhuj6s4/bVU3RtWdf49CEATs2bMHR48exeHDh6GnpwczMzPs2LEDzZo1g7W1tdb5EREREREREdFTIGhBX19fcHNzE0JCQoTz588LERER1T5eNCqVSgAgqFSqKtsKCwuF6OhoobCwUGwLDw8XAAh//PGHEB4eXuWRmJgoCIIgFBQUCOHh4UJubq4gCIJw69atauPvf2RmZgqCIAgpKSnCxYsXJccLDw/X+r2dOnVK0NPTE1599VWt932YNWvWCFZWVlrvd+TIEQGAkJWV9VjyGDBggPDVV19V6b/iYW9vLwQHBwuRkZGS/Y4ePSr06dNHcHJyEgAI27dvl2wvKSkRPv/8c6FZs2aCqamp4OTkJLzzzjvCnTt3JHGffvqpMHr06H/9Pqo714jo31uxYoVgYWEhfPjhh7pOhYiIdOjm8ZvCLMwSFtVfJOzevVs4d+6csH//fmHWrFni5+z9+/cLAITmzZtL9vXy8pJ8vnyUx/2fTyMiIgQAgpOTk6Tfl156Set+J02aJO5/584dAYBgYGAg6bd///5a9zt06FBx/5KSErG94u8TQRCEcePGad1vjx49JLlZW1sLAITY2Fixbfr06Vr3W9MYnThxQmxbsmSJ1v3WNEbbtm0T20JDQ7Xut6Yx+umnn8S2ivNP20d1Y1Td+afto7oxqu780/axb98+gYjoeXT4P4eFcyvPCQWZBbpOhYiIiIjosdFqZoTbt2/jt99+w5o1a7By5Uq8/fbbGDNmDHx8fLTp5oXn6emJffv2oUOHDlWWdbifiYkJWrVqJb6uX7/+I9897+joCEdHx3+d6+rVqzFx4kSsXr0ad+/eFe+OeV4kJSVh9+7dWLZsWZVtsbGxsLS0xN27d/F///d/6N27N+Lj42FkZARAMy1oixYtMHr0aLz++utV9i8oKMCFCxcwc+ZMtGjRAllZWfjoo4/Qr18/8U4xABg1ahQCAgKwcOFC8W4pInp2jBs3DhMmTJDMBERERC8eRUsF3jnwDhLzEtG9T3e4u7vjxo0beOWVV8QYuVwONze3Kp+ZXVxcUFJSotXxrKysxOeGhoZwc3OrsuyaQqEQ7zJ/VPd/3tTX14ebm5t4V3wFBwcHrfu1t7eXvK7YX09PT2yrWI5OG//7N02DBg1gZWUlydna2lrrfmsaI2NjY7HNwsJC635rGiNTU1OxzczMTOt+axojc3Nzsa3i/NNWdWNU3fmnrerGqLrz71E1aNAAkyZNQo8ePbTOhYjoWVecW4yT80+ivKQcbp3cYGJjouuUiIiIiIgeC5kg/He9BS2dOHECa9aswZYtW+Dr64sxY8ZgzJgxki8yXhQ5OTmwsrKCSqWqUlxQVFSEhIQEuLu7Qy6X6yS/CxcuICAgAOHh4ZLihofJy8uDk5MTzp8/j5CQEDRv3hzTp0+XxOzatQtffvkloqKiYG5ujo4dO2L79u0AgOLiYsyYMQMbNmxAdnY2mjVrhgULFqBLly5QKpXo2rWrpK+QkBDMmjULv//+O77//nvExsbCzMwM3bp1w5IlS1CvXj0kJiZKlgsBgBEjRmDt2rVQq9VYsGABVq1ahZSUFHh7e2PmzJl44403anyP3377LTZt2oRz586JbRW5ZWVlidN97tq1C/369cOlS5eqXYtUJpNh+/bt6N+//wN/pufOnUPbtm1x8+ZNyZIZHh4emDFjBsaMGfPA/R/kWTjXiIiIiJ53YWFh+PDDD1G/fn3s2LFD1+kQERHRc6AouwjnVpxDysUUvLHpDRbDExEREdFzo9aVAy+//DJWr16NuLg4mJqa4t1330V2dvZjTO35lZycjFmzZmm9runTtnnzZjRp0gSNGzfG22+/jV9//RX31678/fffGDBgAF599VVcvHgRhw4dQtu2bcXtH374IU6fPo2NGzciMjISgwYNQq9evRAXF4eXXnoJS5YsgaWlJZKTk5GcnIzPPvsMAFBaWoo5c+bg0qVL2LFjBxITEzFy5EgAmrth/vzzTwCamQuSk5Px/fffAwDmzZuHdevWYeXKlbhy5QomT56Mt99+G0ePHq3xPR4/fhytW7d+4M9BpVJh48aNACDOilBbKpUKMpmsypqmbdu2xfHjx/9V30RERET05LVv3x7nz59nIQIRERE9NnJrOTpO64hBmwexEIGIiIiInitaLdNwv1OnTuHXX3/Fli1b0LhxYyxfvrzKBVaqXnp6On755RcMHDgQTk5Ouk6nRqtXr8bbb78NAOjVqxdUKhWOHj2KLl26AAC+/vprDBkyBLNnzxb3adGiBQDN8gdr1qxBUlKSOAXqZ599hn379mHNmjWYO3curKysIJPJoFAoJMcdPXq0+NzDwwNLly5FmzZtkJeXB3Nzc3Fqz3r16onnXHFxMebOnYuDBw+iQ4cO4r4nTpzATz/9hM6dO1f7Hm/evFljMULFkhj5+fkAgH79+qFJkyaP9sOrRlFREaZMmYKhQ4dWmUHD2dkZFy9erHXfRPRkzZgxA+Hh4Vi4cCH8/Px0nQ4REelIWkwaEpWJsHG3gWcvT12nQ0RERERERERE9EzTqhghOTkZ69atw5o1a5CVlYVhw4bh5MmTaNas2ZPK77nk5+eH27dv6zqNB4qNjcXZs2fFJRcMDAwwePBgrF69WixGiIiIwLhx46rdPyoqCuXl5fD29pa0FxcXw87O7oHHDg8Px6xZs3Dp0iVkZWVBrVYD0BQ4+Pr6VrtPfHw8CgoKJGv2AkBJSQn8/f1rPFZhYWGNSxocP34cpqamCAsLw9y5c7Fy5coH5v0gpaWlePPNNyEIAlasWFFlu4mJCQoKCmrdPxE9WUqlEqdOncKYMWNYjEBE9AK7tvsaDn5+EM2GNGMxAhERET0WmfGZyL2biwYvNYCewYu3/C0RERERPd+0KkZwdXWFi4sLRowYgX79+sHQ0BBqtRqRkZGSuObNmz/WJOnpW716NcrKysRZDQBAEAQYGxvjhx9+gJWVFUxMTGrcPy8vD/r6+ggPD4e+vr5km7m5eY375efnIygoCEFBQQgNDYWDgwOSkpIQFBSEkpKSBx4P0Cwd4eLiItlmbGxc43729vbIysqqdpu7uzusra3RuHFjpKamYvDgwTh27FiNfdWkohDh5s2bOHz4cJVZEQAgMzMTDg4OWvdNRE/Hxx9/jNGjR6NNmza6ToWIiHTIubUz4A1sO7sNZZvKMHjwYF2nRERERHVc+KpwnFp4Cv5j/dHv5366ToeIiIiI6LHSqhihvLwcSUlJmDNnDr766isAmgvU95PJZCgvL398GT6HoqKiEBwcjL179z6Td9iWlZVh3bp1WLRoEXr27CnZ1r9/f2zYsAHvvvsumjdvjkOHDmHUqFFV+vD390d5eTlSU1PRsWPHao9jZGRU5Vy5evUqMjIyMH/+fDRo0AAAcP78+Sr7AZDs6+vrC2NjYyQlJdW4JEN1/P39ER0d/dC4Dz74APPmzcP27dsxYMCAR+6/ohAhLi4OR44cqXFWiMuXL4szThDRs2fQoEG6ToGIiJ4B7l3dEeUXhT///BMd0jroOh0iIiJ6Dugb6cPE1gSNXmmk61SIiIiIiB47rYoREhISnlQeL5TS0lLcuXMHZ86cQWlpaY1xrq6usLe3R3p6OpKSktCqVSsAmiUU8vPzH3iMZs2awcjICDdu3ICZmRlUKhXMzMweKb/du3cjKysLY8aMgZWVlWTbwIEDsXr1arz77rsICQlB9+7d0ahRIwwZMgRlZWXYs2cPpkyZAm9vbwwbNgzDhw/HokWL4O/vj7S0NBw6dAjNmzdH79690bBhQ+Tl5eHQoUNo0aIFTE1N4erqCiMjIyxbtgzvvvsuLl++jDlz5khycHNzg0wmw+7du/Hqq6/CxMQEFhYW+OyzzzB58mSo1Wq8/PLLUKlUOHnyJCwtLTFixIhq32tQUBDGjh2L8vLyKjM43M/U1BTjxo1DSEgI+vfvD5lMhry8PMTHx4sxCQkJiIiIgK2tLVxdXVFaWoo33ngDFy5cwO7du1FeXo6UlBQAgK2trVhUUVBQgPDwcMydO/eRxoeIiIiIdGf69OkYPHgwWrZsqetUiIiI6DnQ7atu6DKrS5UbvoiIiIiIngcyoZafdIuKihAZGYnU1FSo1erKDmUy9O3b97ElWBfk5OTAysoKKpWqyhT8RUVFSEhIgLu7O+RyOQAgOTlZsvxBTX7++WeMHTsWv/zyC8aNGyf+UdKhQweEhYU9cN9bt26hfv36GDRoEHJycvDPP/888vvp27cv1Go1/v777yrbzp49i3bt2uHSpUto3rw5tm3bhjlz5iA6OhqWlpbo1KkT/vzzTwCaoouvvvoK69atw507d2Bvb4/27dtj9uzZ4owQ7733HrZs2YKMjAyEhIRg1qxZ2LBhA6ZPn47k5GS0atUK06ZNQ79+/XDx4kXxS985c+bgxx9/xL179zB8+HCsXbsWgiBg6dKlWLFiBW7cuAFra2u0atUK06dPR6dOnap9r2VlZXBzc8Ovv/6KoKAgAJq14bt27YqsrCxYW1tLfqYeHh4IDQ3Fm2++Kcb9rxEjRmDt2rVITEyEu7t7tcc9cuSIOBPChg0bMHv2bFy9evWRxqcm1Z1rRPR4lJWV4fr16w+c7YWIiF4c6nI11KVqGMi1qu0mIiIiIiIiIiJ6odSqGGHfvn0YPnw40tPTq3b4Ai7ToG0xAqApSEhOTn5gv49rZoTy8nJ4eXnV8t09/5YvX46dO3dqVbDxOLVv3x6TJk3CW2+99a/6YTEC0ZMTHx8PLy8vmJiYID8/HzKZTNcpERGRjuz9aC/CfwrHK9+8gnaT2uk6HSIiIqrDirKLILfmdzhERERE9Pyq1a08EydOxKBBg/Cf//wHjo6OjzunF4KTkxOcnJweKdbe3h729vbi68aNGz/ycTw8PLTO7UUzYcIEZGdnIzc3FxYWFk/12Onp6Xj99dcxdOjQp3pcItKOq6srLC0t4erqitzc3CqFZ0RE9GIQBAFJyUkoLy5HakyqrtMhIiKiOqwgowCLnBbBOcAZww8Nh6Gpoa5TIiIiIiJ67Go1M4KlpSUuXryIRo0aPYmc6pzazIxA9LjxXCN6sgRB4IwIREQvuIKCAijMFNCHPhKzEmFlbaXrlIiIiKiOit0Vi439NsKxuSPevfSurtMhIiIiInoiajUzwhtvvAGlUsliBCIiemGwEIGIiAoKCuAd4I2cnBxYWnGWHCIiIqq9xn0bY/Ktyci9m6vrVIiIiIiInphazYxQUFCAQYMGwcHBAX5+fjA0lE4jNmnSpMeWYF3AmRHoWcBzjYiIiIiIiIiIiIiIiIieFbWaGWHDhg3Yv38/5HI5lEql5G5RmUz2whUjEBHR82/37t1Yvnw52rdvj5CQEF2nQ0REOnR542XcPX8Xrca1gn1je12nQ0RERERERERE9EyqVTHCjBkzMHv2bEydOhV6enqPOyciIqJnTlpaGvbt2we1Wq3rVIiISMfCfwpHojIRipYKFiMQERGR1pSzlMi5nYM2H7SBk7+TrtMhIiIiInpialVJUFJSgsGDB7MQgYiIXhidO3fGL7/8glmzZuk6FSIi0pFNmzahY8eOuG1xG+0+agc7bztdp0RERER1jCAIiFgTgYurLyL3Tq6u0yEiIiIieqJqVU0wYsQIbNq06XHnQkRE9Mzy8PDAmDFj0KFDB12nQkREOhIXF4cTJ04g0TERvZb0gktbF12nRERERHWNAPT7tR/afdQO7t3ddZ0NEREREdETVatlGsrLy/HNN9/gn3/+QfPmzWFoaCjZ/t133z2W5O6XmZmJiRMnYteuXdDT08PAgQPx/fffw9zcvMZ9ioqK8Omnn2Ljxo0oLi5GUFAQfvzxRzg6OooxMpmsyn4bNmzAkCFDHvt7qFbhPaAoBbBpoXmdEwvoywEzN0BdCmRHAeaNACMroCgNKLgN2Pr/NzYO0DMAzN0BdTmQfUnz3MgGKM4A8m8CNv6ATAaUqDR9EBERERFRrbz55pto3LgxGjRooOtUiIiIqI6S6cng0d0DHt09dJ0KEREREdETV6uZEaKiouDv7w89PT1cvnwZFy9eFB8RERGPOUWNYcOG4cqVKzhw4AB2796NY8eOYfz48Q/cZ/Lkydi1axe2bNmCo0eP4u7du3j99derxK1ZswbJycnio3///k/kPYhKc4F7Ss2/CeuAQ10rt50eCVyeo3lenA7sCwDSTmheJ20G9revjD33HnBpuuZ5eb4mNuWg5vWdXZrXQrmmiOH0O0B+0pN9X7W0evVq9OzZU9dpPNCQIUOwaNEiXadBRDp248YN7N+/H8nJybpOhYiIdMDb2xuDBg1C+/btIagFqJJUUJerdZ0WERERERERERHRM6lWxQhHjhyp8XH48OHHnSNiYmKwb98+/PLLL2jXrh1efvllLFu2DBs3bsTdu3er3UelUmH16tX47rvv0K1bNwQEBGDNmjU4deoUwsLCJLHW1tZQKBTiQy6XP/b3IJEbpylAyI0D3IcD3Y9UbuuwFmg2U/Pc2B7oFQ44vKx57fom0PO+3NusAFrM1TzXN9PEKnpoXrv01byW6QOlOZpZFtSlj5ziyJEjIZPJMH/+fEn7jh07qswmUV5ejsWLF8PPzw9yuRw2NjYIDg7GyZMnH3qcoqIizJw5EyEhIWLbtm3b0Lp1a1hbW8PMzAwtW7bE77//LtmvS5cu+Pjjj6v0t3btWlhbW4uvk5OT8dZbb8Hb2xt6enrV7nPlyhUMHDgQDRs2hEwmw5IlS6rEfPHFF/j666+hUqke+p6I6Pk1ZswYBAUF4dChQ7pOhYiIdEgQBCystxBL3JZAdZOfD4mIiOjR5Cbn4tSiU8i4lqHrVIiIiIiInopaFSM8badPn4a1tTVat24ttvXo0QN6eno4c+ZMtfuEh4ejtLQUPXr0ENuaNGkCV1dXnD59WhL7wQcfwN7eHm3btsWvv/4KQRAemE9xcTFycnIkD61Y+QJ94zT/mjhWLtEAAJaNNUs0AICeIWDbqnJ5BblD5RINAGDppVmWAQD09P8ba6N5bWyneS2TARaNgK57Nf9qQS6XY8GCBcjKyqoxRhAEDBkyBF9++SU++ugjxMTEQKlUokGDBujSpQt27NjxwGNs3boVlpaWCAwMFNtsbW0xY8YMnD59GpGRkRg1ahRGjRqFf/75R6v8Ac1YOTg44IsvvkCLFi2qjSkoKICHhwfmz58PhUJRbUyzZs3QqFEj/PHHH1rnQETPj6ZNm6JZs2YwMKjVKkdERFTHnThxAqdOnUJeXh4snC2gZ6AHVRKLEYiedUXZRYjfF4/Eo4mS9uQLyYjfFw/Vrcr/jotzixG/Lx4JhxMksSmXUhC/Lx7ZidliW2lhKeL3xeP6geuS2NTLqYjfF4/M65liW1lxGeL3xSN+X7wkNi0mDfH74iUXJtVlajH2/tlXMq5lIH5fPNJi0iR9VMSWl5SLbZnXMxG/Lx6pl1Mlsdf3X0f8vniUFlberJCdmI34ffFIuZQiib1x6Abi98WjJK9EbFPdUiF+XzySL0hnCks8moj4ffEoUhWJbbl3cxG/Lx53zt2RxN48fhPx++JRmFkotuXdy0P8vnjcDrstib116hbi98UjPy1fbCtIL0D8vngknZTO/njn7B3E74tHXkqe2FaYVYj4ffG4eeymJPbu+buI3xePnDuV3+cU5/x37I9Ixz754n/Pk/t+35fklyB+XzxuHLwhib0XdQ/x++KRlVD5PUpZ0X/H/h/p2Kde+e95El95npSXlovjKagrv5tKv5qO+H3xSI9NF9sEtVA59qX3jX28ZuzTov/nPPlHE1tWVCa2Zd3IQvy+eNyLuieJvXHwv2OfXzn22Tf/e55ESM+ThCMJiN8Xj+KcYrEt504O4vfF42649Aaim8f+O/ZZlWOfm/zf8+Ss9DxJOpmE+H3xKEgvENvyU/MRvy8et07fksTeDrutGft79419pmbsk078z3lyTnOe5N7NFdue5u+I2J2xOPDZAWwfvh1ERERERC+COlGMkJKSgnr16knaDAwMYGtri5SUlBr3MTIyktwlDwCOjo6Sfb788kts3rwZBw4cwMCBA/H+++9j2bJlD8xn3rx5sLKyEh9arxmrLwcsPDX/Pg2CAKjLNP9qoUePHlAoFJg3b16NMZs3b8bWrVuxbt06jB07Fu7u7mjRogVWrVqFfv36YezYscjPz69x/40bN6Jv376Sti5dumDAgAHw8fFBo0aN8NFHH6F58+Y4ceKEVvkDQMOGDfH9999j+PDhsLKyqjamTZs2WLhwIYYMGQJjY+Ma++rbty82btyodQ5E9Pz44YcfEBUVhSFDhug6FSIi0oFRo0YhMDAQly5dwjv738H0gulo2KWhrtMiovuUl5RDOVspuXiYcS0DocGh2DFihyT26JdHERocKikQUCWpEBociq1DtkpiTy44idDgUFzdcVVsy7+Xj9DgUGzqv0kSG/Z9GEKDQ3Fl0xWxrVhVjNDgUIQGh0piw38KR2hwKCJ+ixDbyorLxNjy4sqLzBFrIxAaHIrwn8IlfVTE3l8IcHnjZYQGh+LMUukNHBv7b0RocCjy71X+nX51x1WEBofi1DenJLF/DvkTocGhkovw8XvjERociqNfHpXE7hixA6HBoZKiioQjCQgNDsXhGdIZNHdP2I3Q4FDci6y8AH779G2EBodi/6f7JbH7PtqH0OBQ3D1XeVE7+UIyQoNDseeDPZLYA58fQGhwKG4eryw8SItOQ2hwKHaO3SmJPfKfIwgNDsWNA5XFBFk3shAaHIrtb0svEp+YewKhwaG4tvua2JZ7JxehwaHY/MZmSezpRacRGhyK6K3RYltBRgFCg0Oxoe8GSey55ecQGhyKyD8ixbbS/FJxPO8vRLmw+gJCg0NxcfVFsU1dphZjS/Mri0si/4hEaHAozi4/Kznehj4bEBocKikCid4ajdDgUJxeJL1pZ/MbmxEaHCq5YH9t9zWEBofi+Nzjkthtw7YhNDgUWTcqCzBuHLiB0OBQKP+jlMTuHLMTocGhSI+pLKpIOp6E0OBQHPj8gCR2zwd7EBociuSLlYUvd87dQWhwKPZ9tE8S+88n/yA0OBS3T1cWs9yLvIfQ4FDsnrBbEnt4+mGEBociUZkotj3N3xGWLpbweMUDvm/4goiIiIjoRaDTWzunTp2KBQsWPDAmJibmieYwc+ZM8bm/vz/y8/OxcOFCTJo0qcZ9pk2bhk8++UR8nZOTo11BQv4tIGYh4PN/gJmWhQy1kXUR2BegWbbBttUj76avr4+5c+firbfewqRJk1C/fv0qMevXr4e3t3eVggIA+PTTT7Ft2zYcOHAA/fv3r/YYJ06cwDvvvFNjDoIg4PDhw4iNjX3oufKktW3bFl9//TWKi4sfWLRARERERM8nNzc3lJeXw8HBAeYKc12nQ0TV2P3ebkT8GoFbJ27h7f1vQyaTwdDUEAp/BSycLCSxNh42UPgrYGpnKrYZyA2g8FfAxMZEEmvd0FoT61AZq2+kD4W/AgZy6VcrVq5WUPgrYOZoJrbpGehB4V91Jj7L+pZVcpPpySpj71sl0cLZAgp/BSzrW0r6qIjVM6i838RcYQ6FvwJWrtKifEVLBcqKyqBvpC+2mTqYamIbSmPr+dVDUXaR5P2Z2JlA4a+AjYeNNLZpPZjYmsDQ1LAy1kYTa+tpK4l18HGAgdwARuZGYpuxlTEU/grYedtJYu0a20FdroaxZeXf4EYWRtXG2nrZojinGHLryhs/jMyMqv052DTSjL2JbeU4G5hoxt7MwUwSa+3+37G3v2/sjTVjf/97AAArt/+Ofb3KPvQNNbH3jw8AWDbQjL25U+X/T2T6surPE5f/nifO953Dssqxl+lXnijmTv8d+wb/M/b+CqjL1NAzrMzDzNFME+smjXVs7oiSvBIYGFeOvam95jyxdreWxNZrVg/mCnMYmNx3ntj+9zxpJD1PHHwdYGRhBEOzyvNEbi3XnCde0vPEvok9ZHoyGFtUjr2xpeY8sW9sL4m187ZDWVEZjK3uO0/Mjao9V208baDIUEBuU3mePM3fEd59vOHdxxtERERERC8KmfCwNQmeoLS0NGRkPHiNNA8PD/zxxx/49NNPJcsFlJWVQS6XY8uWLRgwYECV/Q4fPozu3bsjKytLMjuCm5sbPv74Y0yePLna4/3999/o06cPioqKHvmCc05ODqysrKBSqWBpKf1SoKioCAkJCXB3d4dc/t8/dFTRwMkhQOBGzVINT1pxBnBnF+DSV7N8wyMYOXIksrOzsWPHDnTo0AG+vr5YvXo1duzYgQEDBohLWfj4+KBx48bVLseQlZUFW1tbLFiwAJ9//nmV7dnZ2bCxscGxY8fQsWNHyTaVSgUXFxcUFxdDX18fP/74I0aPHi1u79KlC06dOgUjI+kf/hXnRXZ2dpXjdenSBS1btsSSJUtqfN8NGzbExx9/jI8//rjKtsjISLRo0QKJiYlwc3OrsQ9dqfZcIyIiIiIieoGkx6bj91d+R9B3QbzzmIiIiIiIiEjHdDozgoODAxwcHB4a16FDB2RnZyM8PBwBAQEANMUGarUa7dq1q3afgIAAGBoa4tChQxg4cCAAIDY2FklJSejQoUONx4qIiICNjc2TvfPdyhd4NfLhcY+LsR3gMbLWuy9YsADdunXDZ599Vu322tazFBZqpgas7sK5hYUFIiIikJeXh0OHDuGTTz6Bh4cHunTpIsYMGzYMM2bMkOy3bds2zJ07t1b5PIyJiabqvaCg4CGRRPS8UqlUGDp0KG7duoWIiAjo6+s/fCciInouFWYW4uQ3J5F7NxcD1lUtjiaipyMzPhOpl1PRpH8TAIB9Y3tMuj4J+ob8nEZERERERESkazotRnhUPj4+6NWrF8aNG4eVK1eitLQUH374IYYMGQJnZ2cAwJ07d9C9e3esW7cObdu2hZWVFcaMGYNPPvkEtra2sLS0xMSJE9GhQwe0b98eALBr1y7cu3cP7du3h1wux4EDBzB37twaL7rXWSVZQMpBQNEDMLJ5ePz/6NSpE4KCgjBt2jSMHDlSss3b27vGpTQq2r29q59+zs7ODjKZTDLjRQU9PT14enoCAFq2bImYmBjMmzdPUoxgZWUlxlSoV6/eo74trWVmZgLAIxXQENHzydzcHAcPHkRpaSnu3LkDV1dXXadEREQ6om+kj5MLTgIAei3pJZnqm4iejntR97C6/WoAwLuX3hWXA2AhAhEREREREdGzQe/hIc+G0NBQNGnSBN27d8err76Kl19+GatWrRK3l5aWIjY2VnLX+uLFi9GnTx8MHDgQnTp1gkKhwLZt28TthoaGWL58OTp06ICWLVvip59+wnfffYeQkJAn+2ayo4Dt9TX/Pg15CcCJNzX/1tL8+fOxa9cunD59WtI+ZMgQxMXFYdeuXVX2WbRoEezs7PDKK69U26eRkRF8fX0RHR390OOr1WoUFxfXLvnH5PLly6hfvz7s7e0fHkxEzyV9fX2sW7cOBw4c4O8CIqIXTEREBDp27Ij33nsPgGYt6sCpgei1tJdkrW4ienrqNa0Hl3YucGnrAn0jFiAQERERERERPWvqxMwIAGBra4v169fXuL1hw4ZVlguQy+VYvnw5li9fXu0+vXr1Qq9evR5rno/E2B5w6Q0UJgPWfpo2VTRgYAGYNQDKizSvLbwAQwug8B5QlALYtNDE5sQC+nLAzA1Ql2qKGswbAUZWQFEaUHAbsPX/b2wcYGgJDFIB+ma1TtnPzw/Dhg3D0qVLJe1DhgzBli1bMGLECCxcuBDdu3dHTk4Oli9fjp07d2LLli0wM6v5uEFBQThx4gQ+/vhjsW3evHlo3bo1GjVqhOLiYuzZswe///47VqxYUavcIyIiAAB5eXlIS0tDRESEWAgBACUlJWJBRElJCe7cuYOIiAiYm5tLZl44fvw4evbsWasciOj5MWTIEF2nQEREOnDr1i2cOHECRUVFYluPeT10mBHRi0cQBMTtiYNnL0/o6etBpifD4G2DYWxpDJkei4KIiIiIiIiInjV1ZmaE54qJEyB3AsJGV7adHALELNQ8L7gN7AsAMsM1rxPWAYe6VsaeHglcnqN5XpyuiU07oXmdtBnY374y9tx7QORMTUGC3r+7U+TLL7+EWq2WtMlkMmzevBnTp0/H4sWL0bhxY3Ts2BE3b96EUqlE//79H9jnmDFjsGfPHqhUKrEtPz8f77//Ppo2bYrAwED8+eef+OOPPzB27Nha5e3v7w9/f3+Eh4dj/fr18Pf3x6uvvipuv3v3rhiTnJyMb7/9Fv7+/pLjFRUVYceOHRg3blytciAiIiKiuq1169bYsmULZs2apetUiF5YO8fuxIY+G3D6u8oZ++TWchYiEBERERERET2jZML/TidAWsvJyYGVlRVUKhUsLS0l24qKipCQkAB3d3fI5fLKDYXJmkKCpzEzgp4BYO7+FH4StTNo0CC0atUK06ZN03UqNVqxYgW2b9+O/fv36zqVGtV4rhHRY5Weno4LFy7AyMgIXbp00XU6RESkQ4IgIOdWDo7OOYqus7vCwtkCAHAv8h6u7rgKm0Y2aD6suRh/dvlZFGYUosWIFrB2swYApMWkIXpLNKxcrdByZEsxNvzncOQl58HvLT/YetoCADLjMxG1PgrmTuYIGBcgxkasjYAqSQXfQb5w8HEAAGTfzMal3y7BxM4EbT9oK8ZGhkYi63oWmvRvAsfmjgCA3Lu5uPDLBRhbGqP9x5WFzVc2X0H61XR4veoF59bOAICC9AKc+/EcDEwMEPh/gWJszPYYpEalwuMVDzTo0AAAUKQqwpnvz0CmL0OnGZ3E2Gt/X0NyeDIadmkIt05uAIDSglKc+vYUAKDTF53Ei8vX91/H7bDbaBDYAB7dPQAA6jI1js89DgAInBIIA2PNhH8JRxKQdDwJzm2c4RXsJR7v6JyjgAB0+KQDjMyNAABJJ5KQcDgBipYKNO7XWIw9Mf8EykvK0fbDtjCxNQEA3Dl7B/H74uHQ1AG+A33F2FOLTqE0vxQBEwJg7mgOAEi+mIxru67B1ssWfkP9xNgzy86gKKsI/qP9YVlf8zdj6uVUxGyLgXVDa7QY3kKMPb/yPPJT89H8neawcbcBAGRcy8DljZdh4WKBVmNaibEXVl9A7p1cNBvSDHbedgCArIQsRP4eCbN6Zmj9bmsx9tK6S8hOzIbP6z6o16weACDndg4u/noRchs52k1sJ8ZGbYhCZlwmvPt6w8nfCQCQdy8P4T+Fw9DMEC99+pIYG/1nNNKupMGzlydc2roAAAozC3H2h7PQN9LHy1NfFmNjd8YiJSIF7t3c4fqyKwCgJK9EU1wgAzrP7CzGxu2Nw91zd+Ha0RXuXTV/z1789SJ2T9iNrnO6SvolIiIiIiIiomcTZ0bQFROnykIEALDy1RQiAJpCA9tWmkIEADBxrCxEAADLxppCBADQM9TEGllpXssdKgsRAMDS65kuRACAhQsXwtzcXNdpPJChoSGWLVum6zSI6Bmwf/9+BAUF8c5YIiLCzWM3scRtCS7+chG5yblie8qlFChDlIj8PVISf3bZWShDlFAlVc4KlhadBmWIEhdXX5TEhq8MhzJEicz4TLEtMz4TyhAlwleGS2Ivrr4IZYgSadFpYpsqSQVliBJnl52VxEb+HglliBIpl1LEttzkXChDlDi96LQk9sqmK1CGKHH3/F2xrSC9AMoQJU7OPymJvbrtKpQhStw6dUtsK84phjJEiWNzjklir+26BmWIEolHE8W20sJSKEOUUIYoJcvvxf8TD2WIEjcO3BDb1GVqMba8pFxsTzicAGWIEnF74iTHOzrrKJQhSpTklYhtSSeSoAxR4upfVyWxx78+DmWIEoVZhWLb7TO3oQxRInpLtCT21MJTUIYokZ+aL7YlX0iGMkSJy+svS2LPLDkDZYgSObdzxLbUy6lQhihx6bdLkthzy89BGaJE1o0ssS09Nh3KECUu/HxBEnvh5wtQhiiRHpsutmXdyIIyRIlzy89JYi/9dgnKECVSL6eKbTm3c6AMUeLMkjOS2MvrL0MZokTyhWSxLT81H8oQJU4tPCWJjd4SDWWIErfP3BbbCrMKoQxR4vjXxyWxV//SnCdJJ5LEtpK8EihDlDg666gkNm5PHJQhSiQcThDbWo5qifevvM9CBCIiIiIiIqI6wkDXCRA1bNgQEydO1HUaD1TbJSKI6Pnj5eWFpk2bwtPTU9epEBHRUxQVFYXc3Fx4eXnBwUEz+4BbRzd0n98d2QnZMLU3FWPtvOwQMCEADr4Okj6aDm6K/Hv5MFdUFuLauNsgYEKAOPtBBZ+BPnBu4wzLBpUzr1k2sETAhABYuVpJYhu/1hgOTR3Eu+gBwFxhjoAJATBzNJPEer3qBeuG1rDzshPbTO1NETAhAHIb6exaHj09YOpgKnkfcms5AiYEwNDMUBLbsFtDGJoZirMtAICRmRECJgRAz0BaA+/aUXNHvFMrJ7HNwNgAARM0sz3IZJVT7jfo0AClE0rh0s5FbJPpy8RYfcPKpehc2rggYEIAXANdJcdrNb4VIAAGJpV//ipaKhAwIQANXmogiW05uiXKi8thbGksttVrVg8BEwLE2SEqtBjeAsU5xeIMCgBg38QeARMCUM+vniS22dBmKEgvgFm9yvGwaaQZe7vGdpJY30G+aBDYAJYulWNv7WaNgAkBsHa3lsQ2GdAEipYKcaYNALB00ZwnFTN1VPDq4wVbL1vYNKo8T8zqmSFgQoDk/AWARr0awcLFAvZN7MU2E1sTBEwIkPxsAMCjhwfk1nJxtgUAMLY0RsCEAOgbS5cKbNi5IfQN9aFoqRDbDEz+O/b/s9KCa6Ar1KVquLS5b+xlMnEGCCIiIiIiIiJ69nGZhsegVss0ED1mPNeIiIiInpxBgwZh69atWLZsGT788ENdp0NERERERERERPTM4zINRERERERED2Fvbw93d3c4Ozs/PJiIiIiIiIiIiIi4TAMREREREdHDrFixQtcpEBERERERERER1SmcGYGIiEhL//nPf+Dr64s//vhD16kQERERERERERERERE9k1iMQEREpKXU1FTExMTg2rVruk6FiIiIiIiIiIiIiIjomcRlGoiIiLT03nvv4Y033kDTpk11nQoRET0FBQUF6NmzJ+zs7LB582YYGxvrOiUiIiIiIiIiIqJnHosRdCU/CShOr36bsR1g5gaUFQI5MYCFN2BoDhTcBopSH9yvuTtgZAMU3gOKkgGblpr2olRAXu+xvgUiohdVixYtdJ0CERE9RRkZGTh58iQMDQ1hZGSk63SIiIiIiIiIiIjqBBYj6EJ+ErDbBygvqH57ozFAu1+AvBvAvgDglVOAQwcg5jsgdvGD+355M+A6CEgMBaJmAW/mAEVpwKGuQJe9gJnrY387/9bq1auxadMm7N+//6kfe9++fZg6dSouXLgAPT2uWkJEREREVdnY2GDr1q3Iz8+HTCbTdTpERERERERERER1Aq++6kJxuqYQocMfQK/wqo9mMzVx5h6a19Z+mtc+n1Qff/9D0UMT23AY8MoxzfOCW4AquuaZGKoxcuRIyGQyzJ8/X9K+Y8eOKl/AlpeXY/HixfDz84NcLoeNjQ2Cg4Nx8uTJhx6nqKgIM2fOREhIiNg2a9YsyGQyyGQy6Ovro0GDBhg/fjwyMzMl+65atQpdunSBpaUlZDIZsrOzJdsTExMxZswYuLu7w8TEBI0aNUJISAhKSkrEmF69esHQ0BChoaGP+qMhIoJarcaBAwewatUqye8UIiJ6Ppmbm2PgwIEYPny4rlMhIiIiIiIiIiKqMzgzgi5YeAJd9mlmOzC0rDnOwASwbVX52rS+5vEoTBw1j39BLpdjwYIFmDBhAmxsbKqNEQQBQ4YMwcGDB7Fw4UJ0794dOTk5WL58Obp06YItW7agf//+NR5j69atsLS0RGBgoKS9adOmOHjwIMrLyxETE4PRo0dDpVJh06ZNYkxBQQF69eqFXr16Ydq0aVX6vnr1KtRqNX766Sd4enri8uXLGDduHPLz8/Htt9+KcSNHjsTSpUvxzjvvaPkTIqIXlUwmQ//+/VFQUICuXbvCy8tL1ykRERERERERERERERE9U1iMoAuGloBzkK6zeKgePXogPj4e8+bNwzfffFNtzObNm7F161bs3LkTffv2FdtXrVqFjIwMjB07Fq+88grMzMyq3X/jxo2S/SoYGBhAoVAAAFxcXDBo0CCsWbNGEvPxxx8DAJRKZbV9VxQqVPDw8EBsbCxWrFghKUbo27cvPvzwQ1y/fh2NGjWqti8iovvJZDK88sorKCsrQ3l5ua7TISKiJywxMRF37tyBm5sb6td/xOJgIiIiIiIiIiKiFxyXadCFwmQgcpbm32eYvr4+5s6di2XLluH27dvVxqxfvx7e3t7VFhR8+umnyMjIwIEDB2o8xokTJ9C6desH5pGYmIh//vkHRkZG2r2BaqhUKtja2kraXF1d4ejoiOPHj//r/onoxbFjxw7s3r0bTZo00XUqRET0hP3xxx94+eWXMWvWLF2nQkREREREREREVGewGEEXitOB679o/n3GDRgwAC1btkRISEi1269duwYfH59qt1W0X7t2rdrt2dnZUKlUcHZ2rrItKioK5ubmMDExgbu7O65cuYIpU6bU8l1oxMfHY9myZZgwYUKVbc7Ozrh58+a/6p+IiIiInk9mZmbw8PCAq6urrlMhIiIiIiIiIiKqM7hMgy5Y+wEDqp9p4Fm0YMECdOvWDZ999lm12wVBqFW/hYWFAAC5XF5lW+PGjbFz504UFRXhjz/+QEREBCZOnFir4wDAnTt30KtXLwwaNAjjxo2rst3ExAQFBQW17p+IiIiInl+TJ0/G5MmTdZ0GERERERERERFRncKZEeihOnXqhKCgIEybNq3KNm9vb8TExFS7X0W7t7d3tdvt7Owgk8mQlZVVZZuRkRE8PT3RrFkzzJ8/H/r6+pg9e3at8r979y66du2Kl156CatWrao2JjMzEw4ODrXqn4heTCdPnkTTpk3Ro0cPXadCRERERERERERERET0zGExgi5kRwHb62v+rSPmz5+PXbt24fTp05L2IUOGIC4uDrt27aqyz6JFi2BnZ4dXXnml2j6NjIzg6+uL6Ojohx7/iy++wLfffou7d+9qlfedO3fQpUsXBAQEYM2aNdDTq3rKFxUV4fr16/D399eqbyJ6scnlckRHR+PKlSu6ToWIiIiIiIiIiIiIiOiZw2UadEFdChTeAdLPaJ7XxNQVkNsDRelAQRJg20rTnhMLlOU/+BhWzQB9IyDvBmBgBgxSAfpmtU7Zz88Pw4YNw9KlSyXtQ4YMwZYtWzBixAgsXLgQ3bt3R05ODpYvX46dO3diy5YtMDOr+bhBQUE4ceIEPv744wcev0OHDmjevDnmzp2LH374AQCQkpKClJQUxMfHAwCioqJgYWEBV1dX2NraioUIbm5u+Pbbb5GWlib2p1AoxOdhYWEwNjZGhw4dtP2xENELzMfHB//88w/c3d11nQoRET1hQ4YMQUFBARYtWgQvLy9dp0NERERERERERFQnsBhBF0ycNP+eHffguLY/A55jgds7NLFvCZr20yOBjLAH79v/FmBaH7g4BSjNAbr982+zxpdffolNmzZJ2mQyGTZv3owlS5Zg8eLFeP/99yGXy9GhQwcolUoEBgY+sM8xY8agdevWUKlUsLKyemDs5MmTMXLkSEyZMgUNGjTAypUrJUs3dOrUCQCwZs0ajBw5EgcOHEB8fDzi4+NRv359SV+CIIjPN2zYgGHDhsHU1PSRfg5ERABgamqKnj176joNIiJ6Cvbv34+srCzMnz9f16kQERERERERERHVGTLh/quyVCs5OTmwsrKCSqWCpaWlZFtRURESEhLg7u4OuVxeuaEwWfN4kMc1M4K6HLB8du/gGjRoEFq1aoVp06Y99WOnp6ejcePGOH/+fJ2/u7nGc42IiIiI/pXt27cjLS0NQ4cOhYWFha7TISIiIiIiIiIiqhM4M4KumDhVzpDwMHJ7zaOCZeNHP465h3Z56cDChQuxa9cunRw7MTERP/74Y50vRCAi3YiIiMD58+fh5+eHdu3a6TodIiJ6QgYMGKDrFIiIiIiIiIiIiOocPV0nQNSwYUNMnDhRJ8du3bo1Bg8erJNjE1Hdt2bNGowbNw7btm3TdSpERERERERERERERETPFBYjEBER1VKbNm0QHBwMb29vXadCRERPSGZmJk6ePInr16/rOhUiIiIiIiIiIqI6hcs0EBER1dLbb7+Nt99+W9dpEBHRE3Ty5En069cPrVu3xrlz53SdDhERERERERERUZ3BmRGIiIiIiIhqIJPJ0KhRIzRs2FDXqRAREREREREREdUpnBmBiIjoXxIEAYDmghURET1f+vTpgz59+ug6DSIiIiIiIiIiojqHMyMQERH9Cy+//DIsLCxw5coVXadCRERERERERERERET0zGAxAhER0b+Qn5+P/Px8JCYm6joVIiIiIiIiIiIiIiKiZwaXadCxvHt5yEvJg6KFAgCQHpsOA7kBrN2sUV5ajtSoVNg0soHcSo78tHzk3M6Bk78TACAjLgN6BnqwcbeBulyNe5fuwdrdGiY2JijIKIDqpgoKfwVkMhmKVEWQW8l1+VaJiJ5La9asgampKRo2bIgbN24gNzcXDRo0gK2tLQCgoKAAcXFxMDQ0hK+vr7hfYmIiVCoVXFxcYG9vDwAoKipCbGws9PX10axZMzE2KSkJWVlZcHZ2hoODAwCgpKQEMTExkMlkaN68uRh7+/ZtZGRkQKFQwNHREQBQVlYmztzQvHlzcTmJO3fuID09HfXq1YOTk+b/LWq1GlFRUQCAZs2aQV9fHwCQnJyM1NRU2Nvbw8XFRTzepUuXAAC+vr4wNDQEANy7dw8pKSmwtbVFgwYNxNioqCio1Wo0adIExsbGAIC0tDTcvXsX1tbWcHNzE2OvXLmCsrIyeHt7w8TEBACQkZGB27dvw9LSEu7u7mJsTEwMSkpK4OnpCTMzMwBAVlYWkpKSYG5ujkaNGomxsbGxKCoqgoeHBywsLAAAKpUKiYmJMDU1hZeXlxgbFxeHgoICNGzYEFZWVgCA3Nxc3LhxA3K5HI0bNxZjr1+/jry8PLi6usLGxgaAplAlPj4eRkZG8PHxEWMTEhKQk5MjOU8KCwtx7do1GBgYoGnTpmLszZs3kZ2dLRn74uJiXL16FXp6evDz86tyntw/9qWlpYiOjgYAtGjRQoytGHtHR0coFJrPIOXl5bh8+TIAwM/PD3p6epKxd3BwgLOzMwDN0iSRkZEAgKZNm8LAQPORMiUlBffu3YOdnR3q168vHi8yMhKCIMDHxwdGRkYAgNTUVCQnJ8PGxgaurq5i7OXLl1FeXo7GjRtDLtd8dklPT8edO3dgZWWFhg0birHR0dEoLS2Fl5cXTE1NAQCZmZm4desWLCws4OHhAaJ/a+bMmbh06RImTZqEHj166DodIiIiIiIiIiKiukOgf02lUgkABJVKVWVbYWGhEB0dLRQWFoptRTlFQsKRBKEop0g48c0JYb7NfHHbL+1/Ef4a85cgCIKQczdHmIVZQuzuWEEQBOHMD2eEOUZzxNjfuv8mbB2yVdOnqkiYhVnC5c2XBUEQhItrLgqzMEsoLy0X8lLzhPV91wvZN7Mf/5t/St5++23h66+/1nUaNSouLhbc3NyEc+fO6SyH6s41Inq6goKCBADCunXrxLbz588LAIQGDRpIYgcMGCAAEFasWCG2xcTECAAEW1tbSezbb78tABAWLVoktt28eVMAIBgbG0tiJ0yYIAAQvvzyS7EtPT1dACAAEMrLy8X2yZMnCwCEKVOmiG2FhYVibE5Ojtj+xRdfCACEiRMnSo4nk8kEAEJycrLYNm/ePAGAMHr0aEmsubm5AEC4fv262Pb9998LAITBgwdLYh0dHQUAQmRkpNj2yy+/CACEvn37SmLd3d0FAMLp06fFtg0bNggAhG7duklimzVrJgAQDh06JLb99ddfAgChXbt2kth27doJAISdO3eKbQcPHhQACH5+fpLYrl27CgCEDRs2iG2nT58WAAgeHh6S2D59+ggAhNWrV4ttly5dEgAIjo6OktjBgwcLAISlS5eKbfHx8QIAwcLCQhI7atQoAYAwb948sS05OVkAIOjp6UliP/zwQwGAMHPmTLGt4vMMAMn/S6ZMmSIAED755BOxraysTIzNyMgQ22fPni0AECZMmCA5nrGxsQBASEpKEtu+/fZbAYDwzjvvSGJtbGwEAEJMTIzYtmLFCgGA8Prrr0ti69evLwAQwsPDxbbffvtNACAEBQUJRI9DxX/f69ev13UqREREREREREREdQqXadCBzLhM/Nb1N2TGZaLF8BYYcWSEuO21ta+h08xOAABTe1OMDx8P15c1dws2fbMpxoSNEWN7r+iNbnO7AQAMzQwxPnw8PHpo7gD07uuN8eHjIdOXoTinGOpSNcpLyx85x5EjR0Imk2H+/PmS9h07doh31AKAUqnEa6+9BicnJ5iZmaFly5YIDQ2t+p4zM/Hxxx/Dzc0NRkZGcHZ2xujRo5GUlPTQXC5duoQ9e/Zg0qRJYtusWbPQpEkTmJmZwcbGBj169MCZM2ck+8lkMuzYsaPa99a/f3/x9bFjx9C3b184OzvXuM+2bdvQs2dP2NnZQSaTISIiQrLdyMgIn332GaZMmfLQ90NEzy8bGxsoFArxTn4AMDAwgEKhQL169SSx1tbWUCgU4t3cAKCvry+5q72ClZUVFAqFeNc/AOjp6UGhUIh3tVewtLSEQqGAubm52CaTyaqNtbCwgEKhEGcIqFARe//ve3NzcygUClhaWlYbW3EXPQCYmZlBoVCIswlUqLgLv2K2BQAwNTWFQqGAtbW1JLZevXpQKBTiHfcAYGJiAoVCIc48UMHBwQEKhUKcmQEA5HI5FAqFOPNABXt7eygUCvHufAAwNjaGQqGAnZ2dJNbOzg4KhUKcxQHQ/L5XKBTibBYVbG1toVAoxDv5AcDQ0BAKhUKc0aACzxONp32eENXWjBkzsGrVKrRr107XqRAREREREREREdUpMkEQBF0nUdfl5OTAysoKKpWqypfvRUVFSEhIgLu7u3iBoqyoDDm3c2BZ3xIG8mdzpYyRI0di06ZNkMvluHHjhviF/o4dOzBgwABUnDZz585FYWEhgoOD4ejoiN27d+OTTz7BX3/9hT59+gDQFCK0b98eRkZGWLhwIZo2bYrExER88cUXiI2NxenTpx84jfLYsWNhYGCAlStXim3r169HvXr14OHhgcLCQixevBhbtmxBfHy8eNFHJpNh+/btksKDiveWnZ0tFh3s3bsXJ0+eREBAAF5//fVq9/n999+RkJAAZ2dnjBs3DhcvXkTLli0lMRVTY1+4cEEyxfbTUt25RkRERERERERERERERESkC8/mlfDnnIHcALaetg8PfEwEQYBQLkCmL5PcvfgwPXr0QHx8PObNm4dvvvmm2pjp06dLXn/00UfYv38/tm3bJhYjzJgxA3fv3kV8fLx4t6Wrqyv++ecfeHl54YMPPsDevXur7b+8vBxbt26tMtvCW2+9JXn93XffYfXq1YiMjET37t0f+T0CQHBwMIKDgx8Y88477wDQrPFeExsbGwQGBmLjxo2YM2eOVjkQERHR4zd16lQcPnwYP/zwA9q2bavrdIiIiIiIiIiIiIheKFymQQdUt1TYO2kvVLdUT+V4KRdTMMdwDlIupmi1n76+PubOnYtly5bh9u3bj7yfSqUSp8VWq9XYuHEjhg0bVmXaZxMTE7z//vv4559/kJmZWW1fkZGRUKlUaN26dY3HKykpwapVq2BlZYUWLVo8cp5PQtu2bXH8+HGd5kBEREQaly5dwrlz53Dx4kVdp0J1VGlpKU6ePImYmBhwQjkiIiIiIiIiIiLtsBhBB0pyS5CoTERJbslTOZ6VmxVeW/MarNysHh78PwYMGICWLVsiJCTkkeI3b96Mc+fOYdSoUQCAtLQ0ZGdnw8fHp9p4Hx8fCIKA+Pj4arffvHkT+vr6VdbQBoDdu3fD3NwccrkcixcvxoEDB6qs4T106FCYm5tLHv87y8Lj5OzsjJs3bz6x/omIiOjRTZ48GVu2bEHfvn11nQrVUSkpKXj55Zd1XvBKRERERERERERUF3GZBh1w8HXAe5HvPbXjmdqZouXIlrXef8GCBejWrRs+++yzB8YdOXIEo0aNws8//4ymTZtKttX2TrLCwkIYGxtXu7xE165dERERgfT0dPz888948803cebMGUnhwuLFi9GjRw/JflOmTEF5eXmt8nkYExMTFBQUPJG+iYiISDs9e/bUdQpUxxUVFcHT0xP6+vpaLXdGREREREREREREnBnhhVCYVYgrW66gMKuwVvt36tQJQUFBmDZtWo0xR48eRd++fbF48WIMHz5cbHdwcIC1tTViYmKq3S8mJgYymQyenp7Vbre3t0dBQQFKSqrOImFmZgZPT0+0b98eq1evhoGBAVavXi2JUSgU8PT0lDwsLCwe5W3XSmZmJhwcHJ5Y/0RERET09Hh5eSEuLg5Xr17VdSpERERERERERER1DosRdOBe1D18V/873Iu691SOl52Qja1vbkV2Qnat+5g/fz527dqF06dPV9mmVCrRu3dvLFiwAOPHj5ds09PTw5tvvon169cjJSVFsq2wsBA//vgjgoKCYGtrW+1xW7ZsCQCIjo5+aI5qtRrFxcWP+I6ejMuXL8Pf31+nORAREVGly5cv448//kB6erquUyEiIiIiIiIiIiJ6obAYQQdM7U3h1dsLecl5YltadBpUt1QAgLKiMiRfSEZxrubCet69PKRcqryQnx6bjuyb2QCA8tJyJF9IRpGqCACQn5aP5IvJYmxGXAaMLY0xVTUVji0ca52zn58fhg0bhqVLl0rajxw5gt69e2PSpEkYOHAgUlJSkJKSgszMTDFm7ty5UCgUeOWVV7B3717cunULx44dQ1BQEEpLS7F8+fIaj+vg4IBWrVrhxIkTYlt+fj6mT5+OsLAw3Lx5E+Hh4Rg9ejTu3LmDQYMGaf3e8vLyEBERgYiICABAQkICIiIikJSUJMZkZmYiIiJCLIqIjY1FRERElQKL48ePc0poIiKiZ8hbb72Fd955B2FhYbpOhYiIiIiIiIiIiOiFwmIEHbBwsoCFkwX+Gv2X2LZ1yFacWngKAJBzOwerAlYhOVxTVHBp3SX81vU3MfavkX/h2JxjAICC9AKsCliFpBOaC+dXNl/B6vaVSxX8/d7fODLzCIwtjaGn/++G+8svv4RarZa0/fbbbygoKMC8efPg5OQkPl5//XUxxs7ODmFhYejatSsmTJiARo0a4c0330SjRo1w7tw5eHh4PPC4Y8eORWhoqPhaX18fV69excCBA+Ht7Y2+ffsiIyMDx48fR9OmTbV+X+fPn4e/v784o8Enn3wCf39//Oc//xFjdu7cCX9/f/Tu3RsAMGTIEPj7+2PlypVizOnTp6FSqfDGG29onQMRERE9GS+//DI6duwIQ0NDXadCddBvv/2Gvn37Ys2aNbpOhYiIiIiIiIiIqM6RCYIg6DqJui4nJwdWVlZQqVSwtLSUbCsqKkJCQgLc3d0hl8vF9tzkXBSkF8DRTzNbQVp0GowsjGDVwAplRWVIi06DrZctjC2MkXcvD3kpeVC0UADQzIxgIDeAtZs1ykvLkRqVCptGNpBbyZGflo+c2zlw8ncCoJkZQc9ADzbuNk/pp/H4FRYWonHjxti0aRM6dOig63RqNHjwYLRo0QLTp0/XyfFrOteIiIiIqHYmT56MJUuW4PPPP8eCBQt0nQ4REREREREREVGdYqDrBF5UFbMjVHDwdRCfG8gN4NTKSXxt7mgOc0dz8bV9Y3vxub6hviTWzMEMZg5m4ms7L7vHnvvTZmJignXr1j3Taz2XlJTAz88PkydP1nUqRERERPSYDBs2DL6+vvDz89N1KkRERERERERERHUOZ0Z4DGozMwLR48ZzjYiIqGYVH3llMpmOMyEiIiIiIiIiIiJ6MejpOgEiIiIioifp9ddfh52dHSIiInSdChEREREREREREdELg8UIRERERPRcy8rKQlZWFiIjI3WdCtUx58+fR3R0NIqLi3WdChERERERERERUZ1joOsEiIiIiIiepG+++QaGhobw8fHRdSpUx/Ts2RNZWVm4cuUKfH19dZ0OERERERERERFRncJiBCIiIiJ6rrVp00bXKVAdJAgCHBwcAAB2dnY6zoaIiIiIiIiIiKjuYTECERERERHR/5DJZIiNjdV1GkRERERERERERHWWnq4TICIiIiJ60rZv346QkBBkZGToOhUiIiIiIiIiIiKiFwJnRtARVZIKBekF1W4zsTOBtZs1SgtLkR6TDjtvOxiZGyHndg7yU/Mf2K+1uzVMbEyQdy8Pecl5ULRUAADyU/NhVs/ssb8PIiIiorrg888/R3x8PDp16oTu3bvrOh0iIiIiIiIiIiKi5x6LEXRAlaTCcp/lKC0orXa7/xh/9PulH7JuZGFVwCqMPjUaDTo0wOnvTiNscdgD+35j8xtoOqgpokKjoJylxLScachPy8dvXX/DsL3DYOVq9STe0hP3zjvvwMfHB9OnT3/qx546dSry8/OxbNmyp35sIiIiejwGDhyItLQ02NjY6DoVqiNOnjyJ+fPno3Xr1ggJCdF1OkRERERERERERHUOixF0oCC9AKUFpRjwxwA4+DhU2W5iZwIAsPGwwfjw8bDztgMAdPikA5q/3fyBfVu7WwMA/Ib5wb2bOwAg51YO0qLTUJBe8MjFCCNHjsRvv/2GefPmYerUqWL7jh07MGDAAAiCAABQKpVYvHgxzp49i5ycHHh5eeH//u//MGzYMEl/mZmZ+PLLL7F9+3YkJyfD3t4evXr1wqxZs+Dq6vrAXC5duoQ9e/ZgxYoVYluXLl1w9OhRAICxsTFcXV0xatQoTJ06FTKZTIybNGkSTp48icuXL8PHxwcRERGSvh8l/88++wweHh6YPHkyPDw8HunnR0RERM+W+fPn6zoFqmPi4+Oxe/dulJZWX0BMRERERERERERED8ZiBB2w9bTFsH3D0KBDAxhbGtcYZ2hiCKdWTuJry/qWsKxv+UjHMHc0h7mj+b/KUy6XY8GCBZgwYUKNdxGeOnUKzZs3x5QpU+Do6Ijdu3dj+PDhsLKyQp8+fQBoChHat28PIyMjrFy5Ek2bNkViYiK++OILtGnTBqdPn37gRf5ly5Zh0KBBMDeXvp9x48bhyy+/RHFxMQ4fPozx48fD2toa7733niRu9OjROHPmDCIjI2uVv729PYKCgrBixQosXLhQq58hEREREdVNL730En7++Wc4OjrqOhUiIiIiIiIiIqI6SSZU3OJOtZaTkwMrKyuoVCpYWkqLBYqKipCQkAB3d3fI5XKd5Jd8IRmrAlZhfPh4SXHDg4wcORIZGRmIj49H37598c033wCoOjNCdXr37g1HR0f8+uuvAID33nsPv//+O+Lj46FQKMS4wsJCeHl5wc/PD3v37q22r/LyctjZ2SE0NBS9e/cW27t06YKWLVtiyZIlYltAQADc3Nywbdu2Kv3MmjULO3bsqDIzwqPkDwDr1q3DjBkzcOvWrYfuryvPwrlGRET0rMvIyIC1tTX09fV1nQoRERERERERERHRc01P1wm8iHKTc6GcpURucq6uU3kgfX19zJ07F8uWLcPt27cfeT+VSgVbW1sAgFqtxsaNGzFs2DBJIQIAmJiY4P3338c///yDzMzMavuKjIyESqVC69atazyeIAg4fvw4rl69CiMjo0fO81Hyr9C2bVvcvn0biYmJ/7p/IiIievoEQUCTJk1gb2+PuLg4XadDRERERERERERE9NxjMYIOFKQX4MIvF1CQXqDrVB5qwIABaNmyJUJCQh4pfvPmzTh37hxGjRoFAEhLS0N2djZ8fHyqjffx8YEgCIiPj692+82bN6Gvr4969epV2fbjjz/C3NwcxsbG6NSpE9RqNSZNmvSI7+zR8q/g7Ows5kNERER1j0wmg7W1NQDg2rVruk2G6oSrV68iOjoa+fn5uk6FiIiIiIiIiIioTmIxgg44+jnik9ufwNGvbqw/u2DBAvz222+IiYl5YNyRI0cwatQo/Pzzz2jatKlkW21XAyksLISxsTFkMlmVbcOGDUNERAROnjyJ4OBgzJgxAy+99FKtjgM8OH8TExMAQEHBs19AQkRERNVbv349VCoV+vXrp+tUqA54//330bRpU+zcuVPXqRAREREREREREdVJLEagh+rUqROCgoIwbdq0GmOOHj2Kvn37YvHixRg+fLjY7uDgAGtr6xoLGWJiYiCTyeDp6Vntdnt7exQUFKCkpKTKNisrK3h6eqJNmzbYvHkzfvjhBxw8eFDLd/fg/CtULCPh4OBQq/6JiIhI9zw8PGBpaanrNKiOMDc3h42NDezt7XWdChERERERERERUZ3EYgQduBd1D9/V/w7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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "comm_plots = CommPlots(model_comm2)\n", + "atpm_max_cA_isolate, atpm_max_cR_isolate, time_steps, expected_growth_60R_40A, rates = comm_plots.constants()\n", + "model_comm2.reactions.ATPM_cA.lower_bound = 0\n", + "model_comm2.reactions.ATPM_cR.lower_bound = 0\n", + "solution_array = comm_plots.generate_solutions(cobra, rates, expected_growth_60R_40A)\n", + "solution_exp = comm_plots.generate_growth_gap_solutions(cobra, expected_growth_60R_40A, rates, solution_array)\n", + "exp_syncom = comm_plots.get_exp_syncom()\n", + "pred_syncom = comm_plots.generate_total_acc_data(time_steps, solution_exp)\n", + "plot_data_II = comm_plots.generate_organism_uptake_data(time_steps, solution_exp, monitor)\n", + "comm_plots.plot_organism_uptake_data(plot_data_II, title='3H11/R12 Exchange rates no Leucine')" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "583d6bab-9b1a-4568-8164-d728138452ef", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "comm_plots.plot_total_acc(pred_syncom, exp_syncom)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "f4beacca-8ebb-4365-99b4-d49965bbe185", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cpd00075_e0 Nitrite [e0] cR;e0 -0.034090727667354104\n", + "cpd00075_e0 Nitrite [e0] cA;e0 0.10228575497233412\n", + "\t total Nitrite [e0] 0.0681950273\n", + "cpd00036_e0 Succinate [e0] cA;e0 0.041490830413884225\n", + "cpd00036_e0 Succinate [e0] cR;e0 -0.041490830413884225\n", + "\t total Succinate [e0] 0.0\n", + "cpd00659_e0 Nitrous oxide [e0] cR;e0 0.02683616198030581\n", + "\t total Nitrous oxide [e0] 0.026836162\n", + "cpd00209_e0 Nitrate [e0] cR;e0 -0.019581596293257515\n", + "cpd00209_e0 Nitrate [e0] cA;e0 -0.10228575497233412\n", + "\t total Nitrate [e0] -0.1218673513\n", + "cpd00029_e0 Acetate [e0] cA;e0 -0.077158311\n", + "\t total Acetate [e0] -0.077158311\n", + "cpd00020_e0 Pyruvate [e0] cA;e0 -0.027421855284695193\n", + "cpd00020_e0 Pyruvate [e0] cR;e0 0.027421855284695193\n", + "\t total Pyruvate [e0] 0.0\n", + "cpd01981_e0 5-Methylthio-D-ribose [e0] cA;e0 1.091451543289356e-06\n", + "\t total 5-Methylthio-D-ribose [e0] 1.0915e-06\n" + ] + } + ], + "source": [ + "model_comm_io(model_comm2, solution_array[1]['solution'], exclude)" + ] + }, + { + "cell_type": "markdown", + "id": "8905a43d-fe71-4959-a417-b1ce2dadf0e3", + "metadata": {}, + "source": [ + "We fumarate was replaced by succinate. Repeat the block process." + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "bd791459-5d68-4b11-8e86-11113e6bd710", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# succ\n", + "model_comm2.reactions.rxn05654_cR.bounds = (-1000, 0)\n", + "model_comm2.reactions.rxn05654_cA.bounds = (-1000, 0)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "25d0e91e-b35c-4513-b5b3-73fc62980a3f", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 GROWTH 0 ATPM, exceess 0.00016914051438736224 0.00016515547438736224\n", + "0 MAX isolate ATPM 0.027876884296325226 0.020443849671343942\n", + "1 GROWTH 0 ATPM, exceess 0.0016388283367217628 0.0015948174367217628\n", + "1 MAX isolate ATPM 0.32594856586284277 0.19715081146576582\n", + "2 GROWTH 0 ATPM, exceess 0.0026805792964785173 0.002642595996478517\n", + "2 MAX isolate ATPM 0.4897860398830831 0.3266406802949368\n", + "3 GROWTH 0 ATPM, exceess 0.0008420868425733772 0.0008246068425733773\n", + "3 MAX isolate ATPM 0.10456666393039563 0.1014601278947442\n", + "4 GROWTH 0 ATPM, exceess 0.0007943173851817874 0.0007855273851817875\n", + "4 MAX isolate ATPM 0.09451568115729356 0.09157216028438912\n", + "5 GROWTH 0 ATPM, exceess 0.0002891237871341891 0.0002806127871341891\n", + "5 MAX isolate ATPM 0.039949526865540264 0.0417581432435352\n", + "6 GROWTH 0 ATPM, exceess 7.302270201145993e-06 8.764180201145993e-06\n", + "6 MAX isolate ATPM 0.0007051240625 0.0005361368023255815\n", + "Acetate: -0.00796337 NO3 -0.015765185 NO2 -0.000300664 min community biomass 3.98504e-06 mATP 3H11 0.01115075371853009\n", + "Found solution mATP R12 0.015965349384643453 solution status optimal\n", + "Acetate: -0.077158311 NO3 -0.260613674 NO2 0 min community biomass 4.40109e-05 mATP 3H11 0.1303794263451371\n", + "Found solution mATP R12 0.13959430454732272 solution status optimal\n", + "Acetate: -0.126205391 NO3 -0.336007637 NO2 0 min community biomass 3.79833e-05 mATP 3H11 0.19591441595323325\n", + "Found solution mATP R12 0.2441142628041054 solution status optimal\n", + "Acetate: -0.047720639 NO3 0 NO2 -0.112949487 min community biomass 1.748e-05 mATP 3H11 0.04182666557215825\n", + "Found solution mATP R12 0.06766692391143485 solution status optimal\n", + "Acetate: -0.044917204 NO3 -0.00050591 NO2 -0.100448798 min community biomass 8.79e-06 mATP 3H11 0.03780627246291743\n", + "Found solution mATP R12 0.0613059238281537 solution status optimal\n", + "Acetate: -0.0163845 NO3 0 NO2 -0.06937439 min community biomass 8.511e-06 mATP 3H11 0.015979810746216107\n", + "Found solution mATP R12 0.02577638723109955 solution status optimal\n", + "Acetate: -0.018624539 NO3 -0.00033594 NO2 0 min community biomass -1.46191e-06 mATP 3H11 0.000282049625\n", + "Found solution mATP R12 0.00038895553124999996 solution status optimal\n", + "Biomass 3H11 0.0008575773279999989 Biomass R12 0.0013000459919999979 Biomass Total 0.002157623319999997 Time 141 Acetate 12.91195408193055 NO3 0.4705485288193568 NO2 -0.11916498257478231 N2O 1.6956903492982776 N2 2.750759762579445\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "comm_plots = CommPlots(model_comm2)\n", + "atpm_max_cA_isolate, atpm_max_cR_isolate, time_steps, expected_growth_60R_40A, rates = comm_plots.constants()\n", + "model_comm2.reactions.ATPM_cA.lower_bound = 0\n", + "model_comm2.reactions.ATPM_cR.lower_bound = 0\n", + "solution_array = comm_plots.generate_solutions(cobra, rates, expected_growth_60R_40A)\n", + "solution_exp = comm_plots.generate_growth_gap_solutions(cobra, expected_growth_60R_40A, rates, solution_array)\n", + "exp_syncom = comm_plots.get_exp_syncom()\n", + "pred_syncom = comm_plots.generate_total_acc_data(time_steps, solution_exp)\n", + "plot_data_III = comm_plots.generate_organism_uptake_data(time_steps, solution_exp, monitor)\n", + "comm_plots.plot_organism_uptake_data(plot_data_III, title='3H11/R12 Exchange rates no Leucine')" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "2b0f7e0e-f6b3-4fc1-82a5-47dde6a609c9", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cpd00075_e0 Nitrite [e0] cR;e0 -0.018230766874979543\n", + "cpd00075_e0 Nitrite [e0] cA;e0 0.08469576877165855\n", + "\t total Nitrite [e0] 0.0664650019\n", + "cpd00659_e0 Nitrous oxide [e0] cR;e0 0.028566578843367996\n", + "\t total Nitrous oxide [e0] 0.0285665788\n", + "cpd00107_e0 L-Leucine [e0] cA;e0 0.0003562619559536449\n", + "cpd00107_e0 L-Leucine [e0] cR;e0 -0.0003562619559536449\n", + "\t total L-Leucine [e0] 0.0\n", + "cpd00209_e0 Nitrate [e0] cR;e0 -0.03890239081175645\n", + "cpd00209_e0 Nitrate [e0] cA;e0 -0.08469576877165855\n", + "\t total Nitrate [e0] -0.1235981596\n", + "cpd00029_e0 Acetate [e0] cR;e0 -0.010076297942230526\n", + "cpd00029_e0 Acetate [e0] cA;e0 -0.06708201305776947\n", + "\t total Acetate [e0] -0.077158311\n", + "cpd00020_e0 Pyruvate [e0] cA;e0 0.02526664394459227\n", + "cpd00020_e0 Pyruvate [e0] cR;e0 -0.02526664394459227\n", + "\t total Pyruvate [e0] 0.0\n", + "cpd01981_e0 5-Methylthio-D-ribose [e0] cA;e0 1.0488767910058477e-06\n", + "\t total 5-Methylthio-D-ribose [e0] 1.0489e-06\n" + ] + } + ], + "source": [ + "model_comm_io(model_comm2, solution_array[1]['solution'], exclude)" + ] + }, + { + "cell_type": "markdown", + "id": "ca7c6e9e-a87c-4e6f-9d59-537cdb7fd259", + "metadata": {}, + "source": [ + "We pyruvate and small ammount of Leucine takes place. Repeat the block process for pyruvate." + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "52d49f4e-d295-4da6-a4db-c721a0df3427", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# pyr\n", + "model_comm2.reactions.rxn05469_cA.bounds = (-1000, 0)\n", + "model_comm2.reactions.rxn05469_cR.bounds = (-1000, 0)" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "7a04ca3d-90b0-45a8-8734-d33fc97c4534", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 GROWTH 0 ATPM, exceess 0.0001589801322098818 0.0001549950922098818\n", + "0 MAX isolate ATPM 0.027563884447142112 0.02043859317968514\n", + "1 GROWTH 0 ATPM, exceess 0.0015403828384052555 0.0014963719384052554\n", + "1 MAX isolate ATPM 0.3248109693718199 0.19678776666346295\n", + "2 GROWTH 0 ATPM, exceess 0.0025195551314054205 0.0024815718314054203\n", + "2 MAX isolate ATPM 0.4863362443128868 0.3263365429632249\n", + "3 GROWTH 0 ATPM, exceess 0.0008420868425733696 0.0008246068425733697\n", + "3 MAX isolate ATPM 0.10170071059730935 0.07999707202555101\n", + "4 GROWTH 0 ATPM, exceess 0.0007943173851817941 0.0007855273851817942\n", + "4 MAX isolate ATPM 0.0920665987538019 0.07223625858068619\n", + "5 GROWTH 0 ATPM, exceess 0.0002891237871341888 0.0002806127871341888\n", + "5 MAX isolate ATPM 0.038811855648298185 0.04175627276529734\n", + "6 GROWTH 0 ATPM, exceess 6.4906017003601796e-06 7.952511700360179e-06\n", + "6 MAX isolate ATPM 0.0006952879814189193 0.00046495643092105257\n", + "Acetate: -0.00796337 NO3 -0.015765185 NO2 -0.000300664 min community biomass 3.98504e-06 mATP 3H11 0.011025553778856846\n", + "Found solution mATP R12 0.014159687801052869 solution status optimal\n", + "Acetate: -0.077158311 NO3 -0.260613674 NO2 0 min community biomass 4.40109e-05 mATP 3H11 0.12992438774872797\n", + "Found solution mATP R12 0.12306664101900164 solution status optimal\n", + "Acetate: -0.126205391 NO3 -0.336007637 NO2 0 min community biomass 3.79833e-05 mATP 3H11 0.19453449772515474\n", + "Found solution mATP R12 0.21591912002903454 solution status optimal\n", + "Acetate: -0.047720639 NO3 0 NO2 -0.112949487 min community biomass 1.748e-05 mATP 3H11 0.040680284238923746\n", + "Found solution mATP R12 0.06881127746895264 solution status optimal\n", + "Acetate: -0.044917204 NO3 -0.00050591 NO2 -0.100448798 min community biomass 8.79e-06 mATP 3H11 0.03682663950152076\n", + "Found solution mATP R12 0.06228579954357335 solution status optimal\n", + "Acetate: -0.0163845 NO3 0 NO2 -0.06937439 min community biomass 8.511e-06 mATP 3H11 0.015524742259319275\n", + "Found solution mATP R12 0.026234102132519397 solution status optimal\n", + "Acetate: -0.018624539 NO3 -0.00033594 NO2 0 min community biomass -1.46191e-06 mATP 3H11 0.00027811519256756774\n", + "Found solution mATP R12 0.0003456352369886777 solution status optimal\n", + "Biomass 3H11 0.0008575773279999989 Biomass R12 0.0013000459919999979 Biomass Total 0.002157623319999997 Time 141 Acetate 12.91199414731009 NO3 1.1038379027194074 NO2 -1.3866584125903978 N2O 2.012767094736445 N2 2.7507850451990565\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%run plots.py\n", + "comm_plots = CommPlots(model_comm2)\n", + "atpm_max_cA_isolate, atpm_max_cR_isolate, time_steps, expected_growth_60R_40A, rates = comm_plots.constants()\n", + "model_comm2.reactions.ATPM_cA.lower_bound = 0\n", + "model_comm2.reactions.ATPM_cR.lower_bound = 0\n", + "solution_array = comm_plots.generate_solutions(cobra, rates, expected_growth_60R_40A)\n", + "solution_exp = comm_plots.generate_growth_gap_solutions(cobra, expected_growth_60R_40A, rates, solution_array)\n", + "exp_syncom = comm_plots.get_exp_syncom()\n", + "pred_syncom = comm_plots.generate_total_acc_data(time_steps, solution_exp)\n", + "plot_data_IV = comm_plots.generate_organism_uptake_data(time_steps, solution_exp, monitor)\n", + "comm_plots.plot_organism_uptake_data(plot_data_IV, title='3H11/R12 Exchange rates')" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "1f15ea5c-093d-43f8-8be4-20d0a9dabfdc", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "comm_plots.plot_total_acc(pred_syncom, exp_syncom)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "1521dbfd-1f5e-4a02-b104-113ff26dfd73", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cpd00075_e0 Nitrite [e0] cR;e0 -0.04088449268307126\n", + "cpd00075_e0 Nitrite [e0] cA;e0 0.054042814807204964\n", + "\t total Nitrite [e0] 0.0131583221\n", + "cpd00659_e0 Nitrous oxide [e0] cR;e0 0.04381403704577788\n", + "\t total Nitrous oxide [e0] 0.043814037\n", + "cpd00107_e0 L-Leucine [e0] cA;e0 0.00033486106545467086\n", + "cpd00107_e0 L-Leucine [e0] cR;e0 -0.00033486106545467086\n", + "\t total L-Leucine [e0] 0.0\n", + "cpd00209_e0 Nitrate [e0] cR;e0 -0.0467435814084845\n", + "cpd00209_e0 Nitrate [e0] cA;e0 -0.054042814807204964\n", + "\t total Nitrate [e0] -0.1007863962\n", + "cpd00029_e0 Acetate [e0] cR;e0 -0.05018333949499642\n", + "cpd00029_e0 Acetate [e0] cA;e0 -0.026974971505003574\n", + "\t total Acetate [e0] -0.077158311\n", + "cpd01981_e0 5-Methylthio-D-ribose [e0] cA;e0 9.858700708695943e-07\n", + "\t total 5-Methylthio-D-ribose [e0] 9.859e-07\n" + ] + } + ], + "source": [ + "model_comm_io(model_comm2, solution_array[1]['solution'], exclude)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "4c10f2f5-6c2b-41cd-b5a0-dbbe74ed3bec", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 GROWTH 0 ATPM, exceess 0.00018007799754012928 0.00017609295754012928\n", + "0 MAX isolate ATPM 0.02825721735909012 0.024848880005350994\n", + "1 GROWTH 0 ATPM, exceess 0.0017171547989145428 0.0016731438989145428\n", + "1 MAX isolate ATPM 0.3263514014028788 0.22004927841534216\n", + "2 GROWTH 0 ATPM, exceess 0.002696327091914698 0.0026583437919146984\n", + "2 MAX isolate ATPM 0.4936913755875299 0.34958888924857484\n", + "3 GROWTH 0 ATPM, exceess 0.0008420868425733752 0.0008246068425733753\n", + "3 MAX isolate ATPM 0.10949495390068413 0.10949102449526033\n", + "4 GROWTH 0 ATPM, exceess 0.0007943173851818087 0.0007855273851818087\n", + "4 MAX isolate ATPM 0.09911093940644833 0.09911158134181275\n", + "5 GROWTH 0 ATPM, exceess 0.0002891237871341819 0.0002806127871341819\n", + "5 MAX isolate ATPM 0.04176542222407362 0.04176717194939848\n", + "6 GROWTH 0 ATPM, exceess 7.493765834156543e-06 8.955675834156543e-06\n", + "6 MAX isolate ATPM 0.0007191215625000002 0.0006209640937499998\n", + "Acetate: -0.00796337 NO3 -0.015765185 NO2 -0.000300664 min community biomass 3.98504e-06 mATP 3H11 0.01130288694363605\n", + "Found solution mATP R12 0.016900401910568463 solution status optimal\n", + "Acetate: -0.077158311 NO3 -0.260613674 NO2 0 min community biomass 4.40109e-05 mATP 3H11 0.13054056056115154\n", + "Found solution mATP R12 0.14595107681357508 solution status optimal\n", + "Acetate: -0.126205391 NO3 -0.336007637 NO2 0 min community biomass 3.79833e-05 mATP 3H11 0.19747655023501198\n", + "Found solution mATP R12 0.23750665552321534 solution status optimal\n", + "Acetate: -0.047720639 NO3 0 NO2 -0.112949487 min community biomass 1.748e-05 mATP 3H11 0.043797981560273654\n", + "Found solution mATP R12 0.06568996709094743 solution status optimal\n", + "Acetate: -0.044917204 NO3 -0.00050591 NO2 -0.100448798 min community biomass 8.79e-06 mATP 3H11 0.039644375762579336\n", + "Found solution mATP R12 0.059468601323791705 solution status optimal\n", + "Acetate: -0.0163845 NO3 0 NO2 -0.06937439 min community biomass 8.511e-06 mATP 3H11 0.016706168889629447\n", + "Found solution mATP R12 0.025051125940618157 solution status optimal\n", + "Acetate: -0.018624539 NO3 -0.00033594 NO2 0 min community biomass -1.46191e-06 mATP 3H11 0.0002876486250000001\n", + "Found solution mATP R12 0.00041457828052325575 solution status optimal\n", + "Biomass 3H11 0.0008575773279999989 Biomass R12 0.0013000459919999979 Biomass Total 0.002157623319999997 Time 141 Acetate 12.911180857601561 NO3 0.26881143349591097 NO2 0.2844581492473012 N2O 1.5942638248251626 N2 2.751243268803243\n" + ] + }, + { + "data": { + "image/png": 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+/o6e2p9iNpuN7hu9e/c+Ym1FRUWzgY3Dxw5138jPz1d+fv5R5+Dp6XnErhuHvgcFBdF9AwAAAACAP4FQRgs6WFKogyUFCoiOlySV7s6U2cVNXsFhstbVqjhnm7xDIuTq6a2q0iJVFOarXceukqSyPdkymc3yDgmXtb5exdnp8goOl5uXj6oOlKhi/x4FxHSVyWRSWV6unMzO8gpq36Lzz8rKUkxMjDZs2KCEhIQWvTYAAAAAwDF2rf9aXz19v/E4KL63Og0Zq+hBo+Xm5ePAmR0bf3//Uz6E8Wd4enqqU6dO6tSp0xHr6uvrVVBQcMSuG4e+l5eXq6KiQtu3b9f27duPeN1D27ccbeuU9u3by9PTsyWXDgAAAADAaYFQRgvasXqZfk5ZoKsXfSNJ+va5f8gvopMG3jpDVQdK9NF94zT8oecU3m+wstas0I8L5+rad9ZJkr57+XG5+fhryN1PqK76oD66b5yG3POkogeO0q4fv9S3z/9D1767Xiazs354daZMZmedf8dMuXp6H9PcJk2apEWLFhmPAwIC1L9/fz3xxBPGnrgRERHau3evAgMdt2dwa7j55pu1cuVK7dmzR15eXho4cKDmzJmjLl26SDpyGGXo0KFKSEjQvHnzJEkffPCBXnzxRa1bt05FRUVNnvPyyy/r7bff1vr163XgwAEVFxfLz8+v9RcKAAAA4IxXvm+3dqz+UBbfAMUnXilJCu83WAExXdSh7/nqNHSsfMOiHTtJtAqz2ayQkBCFhIQctba8vPyIXTcO/bxv3z5ZrVZjPC0t7YjX9fLyajK88ccQR2BgIN03AAAAAABnDEIZLajT0EsUljDQeDzotsdkdnGTJFm8/TRm7mJ5hzTseRs9cJSC4n9vUXrOlEdk+u0NCWc3d42Zu1heweGSpPD+QzRm7mKZnBqOnz35Ibm6ex5zIOOQ0aNH6/XXX5ck5eXl6ZFHHtGYMWOUk5MjqeENnNDQ0BNZ+kmtX79+mjBhgiIjI1VUVKTp06dr1KhRyszMPO43gSoqKnTeeefpyiuv1E033dRkTWVlpUaPHq3Ro0frwQcfbIklAAAAAECzag9WKGvtZ9qxepnyf/lJkuQdGqG4UVfIZDLJ7OKqsU++6+BZ4mTi5eWlzp07q3Pnzkesq6+v1/79+5sMb/wxxFFRUaHy8vJj6r5xaPuW5rZMOTzEQfcNAAAAAMCpjlBGC6k9WKHSXTvVrlM3Y8y3Q4zxs5Ozi9p1/P2YxTdAFt8A47FPWNTvtWazfa23nyzefsZj75Bw2az1stlsMplMxzxHNzc3I3QRGhqqqVOn6vzzz9f+/fsVFBTUZMeIL7/8Uvfdd582btyogIAATZw4UY8//ricnRv+6AwdOlQ9e/aU2WzWokWL5Orqqscff1zjx4/Xbbfdpvfee08hISF69tlndeGFF0pqeFNnypQp+vzzz5WXl6fIyEjdeuutuvPOO425rl69Wvfff79++eUXubi4qHv37nr77bcVFRWljRs36q677tJPP/0kk8mk2NhYvfTSSzrrrLOaXPeUKVOMn6Ojo/X444+rd+/eysrKOmr71z+69tprJTV012jOXXfdZawBAAAAAFpL3uYftW3VB8r+bpXqa6oaBk0mte85QJ2GjJXNWi+TmX/248Qd+vBGaGjoUbc5LS8vP6atU/bt26f6+nrt3btXe/fuPeocvL29j7hlyuHdN5ycnFpo5QAAAAAAtBzenWkhZXuz9X/TbtSYuYvtAhWtoShziz66b9yfuld5ebn++9//qnPnzmrXrl2TNbt379ZFF12kSZMm6Y033tDWrVt10003yWKxaPr06UbdokWLdP/99+uHH37QO++8o1tuuUUpKSlKTk7WQw89pGeeeUbXXnutcnJy5OHhIavVqvDwcC1ZskTt2rXTmjVrNGXKFLVv315XXnml6urqlJSUpJtuukn/+9//VFNTox9++MEIoEyYMEF9+vTRCy+8ILPZrLS0NLm4uBzTuisqKvT6668rJiZGERERJ/TcAQAAAMDJYMeXH2rnVx9LknzCotV52CXqOHiMPANPvw6IOPl5eXkpNjZWsbGxR6yrq6trtvvGH8cqKyt14MABHThwQNu2bTvidQ913zja1imhoaHy8PBoyaXj/9m77/Amy/2P458kTdO9Ny1QRhkCBQdbhiIoAuIARY+KAiooiggiHmQcN+gRFcWj/gRcB+W4F4IIDkCmgIO92kL33iv5/REIFAq0pW0KvF/XlSvJ89zP/XyftEqbfvK9AQAAAACnRSijlvhFNtf1876WZ+CZ1249W57BEepx/5PyDI6o1nFff/21vLy8JNnDCeHh4fr6669P+UmS119/XVFRUZo3b54MBoNat26tw4cPa8qUKZo+fbrjuNjYWE2bNk2SNHXqVD333HMKCgpyLO8xffp0zZ8/X9u2bVPXrl1lNps1a9Ysx3mio6O1du1affzxxxo+fLhycnKUnZ2tQYMGOTpZtGnTxjE+Li5OkydPVuvWrSXpjG/4HL2WRx99VPn5+WrVqpWWL18uV1fXCmO6d+9+0mtRWFh4xk8DAQAAAEBdKsrN0v5fvtPen75St3umOTo0trzyBpnMrmreZ4iCWravVidFwFlcXFwUHh6u8PBwderU6ZTjbDab8vLyqrR0SmpqarW6b/j4+FRp6RS6bwAAAAAAagOhjFpicrXIJ7xxvZzLzdtPLa64rtrH9e3bV/Pnz5ckZWZm6vXXX9c111yj9evXq0mTJieN3759u7p161bhjb0ePXooLy9PCQkJatzYfr0dOnRw7DeZTAoMDFT79u0d20JD7UGVlJQUx7bXXntN77zzjuLi4lRYWKiSkhJH+CEgIEAjR47UgAEDdNVVV6lfv34aPny4wsPDJUkTJ07U6NGj9d5776lfv34aNmzYGZchue2223TVVVcpMTFRL7zwgoYPH67Vq1fLzc3NMeajjz6qEP44ehwAAAAA1Lfy0lId2vyL9v70lRI2/SRrWZkkac+qLx2hjJDWHRXSuqMTqwTqjsFgkLe3t7y9vavUfSMlJeWMS6ckJiaqsLBQOTk5ysnJ0a5du047r8lkUmho6BmXTgkLC5O7u3ttXj4AAAAA4DxCKKOW5Kcl6c8vFqrddSPrvFVscV6OErf9pvAOXWXx8qnycZ6enmrRooXj+dtvvy1fX1+99dZbeuqpp2pcz4lLhxgMhgrbjoY6rFarJGnx4sWaNGmSXnzxRXXr1k3e3t6aM2eO1q1b5zhmwYIFevDBB7V06VJ99NFHmjZtmpYvX66uXbtq5syZuvXWW/XNN9/ou+++04wZM7R48WJdf/31p6zR19dXvr6+atmypbp27Sp/f3999tlnGjFihGNMVFRUhddHEm+qAAAAAKhXJQV5+v3DV7X/1+9UnJvl2B4Q3VrN+wxR9OXXOK84oIFycXFRRESEIiJO31HUZrMpNze3SkunpKWlqby8XIcPH9bhw4fPWIOPj89pl0w5eh8YGEj3DQAAAAC4wBDKqCWlhflK/nODWvUfVufnyktJ0E8vTtKgOYtl8Wpb43kMBoOMRqMKCwsr3d+mTRt98sknstlsjmDF6tWr5e3trcjIyBqfd/Xq1erevbvGjRvn2LZ3796TxnXq1EmdOnXS1KlT1a1bN3344Yfq2rWrJCkmJkYxMTF6+OGHNWLECC1YsOC0oYzj2Ww22Ww2FRcX1/gaAAAAAKC2lBUXysViD4S7WNx18LcfVJybJXe/IDXrda2a9xks/yYxTq4SOPcZDAb5+PjIx8dHMTGn/2+qtLTU0X3jdCGOxMREFRUVObpv7Ny587Tzuri4KDQ09IxLp9B9AwAAAADOH4QyaolfVHMNeemTejmXf5NWGvHeGsebdlVVXFyspKQkSfblS+bNm6e8vDwNHjy40vHjxo3T3LlzNX78eD3wwAPauXOnZsyYoYkTJ57Vpzpatmypd999V99//72io6P13nvvacOGDYqOjpYk7d+/X2+++aaGDBmiiIgI7dy5U7t379Ydd9yhwsJCTZ48WTfddJOio6OVkJCgDRs26MYbb6z0XPv27dNHH32k/v37Kzg4WAkJCXruuefk7u6ugQMHVrv2jIwMxcXFOT4lc/TNlqNvmEhyvDmzZ88eSdIff/whb29vNW7cWAEBAdU+JwAAAIDzT1lxoeLW/ai9q75SVsJe3Th/qYwmk4wmky698xG5enorIrabjCZ+bQecwWw2q1GjRmrUqNFpx9lsNuXk5FRp6ZS0tDSVlZXp0KFDOnTo0Blr8PX1rdLSKQEBAXTfAAAAAIAGjHd3alFBZqqKczIdn2DKit8rs7unPIPCVF5SrKyEvfIJbyKzu6cKs9JVmJWmgKatJEnZh/bLZLbIKyRC1rJSZcbtlndolFw9vVWUnaH89GQFNmsjScpLTpCrp7eMHl7Vqm/p0qUKDw+XJHl7e6t169ZasmSJ+vTpU+n4Ro0a6dtvv9XkyZMVGxurgIAAjRo1StOmTavhK2R377336vfff9fNN98sg8GgESNGaNy4cfruu+8kSR4eHtqxY4cWLVqk9PR0hYeH6/7779e9996rsrIypaen64477lBycrKCgoJ0ww03aNasWZWey83NTb/88ovmzp2rzMxMhYaGqlevXlqzZo1CQkKqXfuXX36pu+66y/H8lltukSTNmDFDM2fOlCS98cYbFerp1auXJPuSLCNHjqz2OQEAAACcH2xWq5K3b9beVV/p4NplKi3Md+xL2/OnQlrFSpKaXV79ADkA5zAYDI4lU1u1anXasUe7b5xp6ZTExEQVFxcrOztb2dnZ2rFjx2nnNZvNp+y+ceJjNze32rx8AAAAAEAVGGw2m83ZRTQ0CQkJioqKUnx8/EnLdBQVFWn//v2Kjo6u8ItsUU6mvnpkmIpys3T74o2SpC8fvlGh7S5Tl1GPKScxTp89MEgDZv2fwtpdpj8/X6A/Pvs/jVj0qyTp26n/kF9Uc3UfN0sFmalaMvpKXfn4PEVe0ks7vlusDQvn6PaPNkmSvp8+Sm5+geo+dobM7p719KoAznGq/+YAAACAc0nCpl+07u1nlJdy7NPxXiERat57sJr1GSKfsCgnVgegIbHZbMrOzj7j0ilJSUlKS0ur1tx+fn5nXDolPDxcAQEBjqVsAQAAAABnh1BGJWoSypDqr1NGzuGDMppd5RUcXg+vBuBchDIAAABwLirJz1VZcaE8Auwd+tL2/KVvpoyQ2d1TTbv3V7PegxXa5mIZWHIAwFkoKSmp0H3jdCGO4uLiKs9rNpsdIY3ThThCQ0P5XR0AAAAAzoBQRiVqGsoAUPv4bw4AAADnCmt5mQ5vXau9q75S/IaViu55jXrc/y9J9k++x69fqYiO3eRicXdypQAuNEe7b5xp6ZSkpCSlp6dXa25/f/9TLply/L2/vz/dNwAAAABckFycXQAAAAAAAOeyzIO7tHfVV9r38zcqzDq2lEB2wj7ZbDYZDAYZDAY17nKFE6sEcCEzGAzy8/OTn5+f2rRpc9qxJSUlSk5OPuPSKYmJiSopKVFmZqYyMzO1ffv20857tPvGqZZMOXofGhoqi8VSm5cPAAAAAE5FKAMAAAAAgBpaOfthxa1b4Xhu8fZT9OUD1aLPEAU0a8OnwgGcc1xdXRUVFaWoqKjTjrPZbMrKyjpt142j9xkZGSotLVV8fLzi4+PPWENAQMAZl04JCwuj+wYAAACAcwKhDAAAAAAAqqC8tEQJm35W5CW9ZDK7SpL8m8YoYdNPirykt5r3GaJGnXrKZDY7uVIAqHsGg0H+/v7y9/dX27ZtTzu2uLj4pO4bp+rEUVJSooyMDGVkZOjvv/8+7byurq5VWjolNDRUrq6utXn5AAAAAFBlhDIAAAAAADgFm82mtN1/aO+qL7V/9VKV5OWoz+R/q0nXfpKk1teMUOurb5Gbj7+TKwWAhstisahx48Zq3LjxacfZbDZlZmaetuvG0ceZmZkqKSlRXFyc4uLizlhDQEDAabtuHH3s5+dH9w0AAAAAtYpQBgAAAAAAJ8hPS9Len77S3lVfKefwAcd2j4AQlRUVOp67efvVf3EAcJ4yGAwKCAhQQEBAlbpvHA1pnCnEUVpa6ui+8ddff512XovFUqWlU+i+AQAAAKCqCGUAAAAAAHCcvNREfTL2aslmkySZXN3UpOuVat5niMLadZbRZHJyhQAAi8WiJk2aqEmTJqcdZ7PZlJGRccalUxITE5WVlaXi4mIdPHhQBw8ePGMNgYGBZ1w6JSwsTL6+vnTfAAAAAC5ghDIAAAAAABcsm9WqpL82KPvQfrW++hZJkldwuIJaXCSTq5ua9x6sJt2ukquHl5MrBQDUhMFgUGBgoAIDA3XRRReddmxRUZGSk5PPuHRKUlKSysrKlJ6ervT0dP3555+nndfNza1CcCM0NFTe3t7y8PCQp6dnle/d3d1lIhgIAAAAnHMIZdSivNREFedmVthm8fKTV0iEyoqLlH1on3zCm8rs7qH89CQVZWecdj6vkEhZvHxUmJWuwsxUBUS3liRlxe+Vi5uHvILDa7X+AwcOKDo6Wr///rs6duxYq3MDAAAAQEOSffiA9q76Svt++lr5aYkyml3V7PKBcvX0kSRd/a8FMrlanFwlAKA+ubm5Van7htVqdXTfONPSKVlZWSoqKtKBAwd04MCBWqnx+LBGdYMdZ7o3m8109QAAAABqGaGMWpKXmqgvHrpOZcVFFba3vPJ6dR83S7nJCfp68i265pn3FNIqVn9/+Z7+/vq9087Z+5EX1LR7f+37+Rtt/Xi+bn1/rSRp1QuTlJ96SNe9/EWVgxkjR47UokWLHM8DAgJ02WWXafbs2erQoYMkKSoqSomJiQoKCqrOpTd4TZs2dbScdHd3V/PmzfXQQw9p9OjRjjFFRUW67777tGnTJm3fvl2DBg3S559/XmGeTz/9VPPnz9eWLVtUXFysiy66SDNnztSAAQPq83IAAAAA1FBxXo4OrF6qvau+VOqubY7tZg9vNe3eX2XFRY5QBoEMAMCpGI1GBQUFKSgoSO3atTvt2MLCwgrdN5KSkpScnKy8vDwVFBQoPz+/SvdHFRUVqaioSBkZp/+wV02ZTKYahzqqMsbd3V1Go7FOagcAAAAaKkIZtaQ4N1NlxUW6/KFn5RsZ7dhu8fKTJHmHRmrQnMXyCW8qSWo75HY1633taef0ComUJDXrda3C23d2bO804n6tmjNRxbmZ1eqWcfXVV2vBggWSpKSkJE2bNk2DBg1SXFycJPsvXWFhYVWe71zyr3/9S2PGjFFBQYGWLFmiMWPGqFGjRrrmmmskSeXl5XJ3d9eDDz6oTz75pNI5fv75Z1111VV65pln5OfnpwULFmjw4MFat26dOnXqVJ+XAwAAAKAGdq/4VJve/bckyWA0KqJjDzXvM1hRl/aRi8XNydUBAM5H7u7uatq0qZo2bVrjOWw2mwoLC6sU3qhO0OP4+7KyMkn298hycnKUk5NTS6/Aydzd3Wu1u8eJwRCz2VxntQMAAAA1QSijlvlGRiuwWduTtrtY3Cps9wwMk2dg1QIQ7n6BcvcLdDz3ComoUW0Wi8URuggLC9Njjz2myy+/XKmpqQoODq50+ZKffvpJkydP1tatWxUQEKA777xTTz31lFxc7N86ffr0Ufv27WUymbRo0SK5urrqqaee0q233qoHHnhA//vf/xQaGqpXX321QgDinnvu0Y8//qikpCQ1btxY48aN00MPPeSoddWqVXr00Uf1119/yWw266KLLtKHH36oJk2aaOvWrZowYYI2btwog8Ggli1b6j//+Y8uvfTSU167t7e349qnTJmi2bNna/ny5Y6aPD09NX/+fEnS6tWrlZWVddIcc+fOrfD8mWee0RdffKGvvvqKUAYAAADQwGQc2Km9K79USJtOatK1nyR74H3/L9+qWa9r1ezya+Xuf351CQQAnJ8MBoMjcFBXHW5LS0trFOao6n1R0bHuwoWFhSosLKyT65Aks9lcJ4GPo/dubm4s8QIAAIBqIZRxgcrLy9P777+vFi1aKDAwsNIxhw4d0sCBAzVy5Ei9++672rFjh8aMGSM3NzfNnDnTMW7RokV69NFHtX79en300UcaO3asPvvsM11//fV6/PHH9dJLL+n2229XXFycPDw8ZLVaFRkZqSVLligwMFBr1qzRPffco/DwcA0fPlxlZWUaOnSoxowZo//+978qKSnR+vXrHb/s3HbbberUqZPmz58vk8mkLVu2VDkBb7Va9dlnnykzM1Ourq5n9RparVbl5uYqICDgrOYBAAAAUDsKs9K17+dvtHfVl8o8uEuSlHFwpyOU4eEfrMEvfOzMEgEAaJDMZrP8/Pzk5+dXJ/NbrdaTOnnUdvDDarVKsgdMsrOzlZ2dXSfXcjQkUxvLuZzq3mQy1UntAAAAcA5CGbXEO6yx+k2bL++wxs4u5ZS+/vpreXl5SZLy8/MVHh6ur7/++pTrOL7++uuKiorSvHnzZDAY1Lp1ax0+fFhTpkzR9OnTHcfFxsZq2rRpkqSpU6fqueeeU1BQkMaMGSNJmj59uubPn69t27apa9euMpvNmjVrluM80dHRWrt2rT7++GMNHz5cOTk5ys7O1qBBg9S8eXNJUps2bRzj4+LiNHnyZLVu3VqS1LJlyzNe+5QpUzRt2jQVFxerrKxMAQEBGj16dHVfwgpeeOEF5eXlafjw4Wc1DwAAAICzc2DtMu358Qsd3rJGNmu5JMnoYlbUZX3Uou91Tq4OAIBjMjMzlZycrOzsbPn5+SkkJET+/v7OLqvOGY1GeXl5Od6brG02m00lJSV11u2joKBAxcXFjnPl5+crPz+/Tq5Fsnc8rq3lXCrb5+rqSrcPAACAekQoo5a4enipUacezi7jtPr27etYoiMzM1Ovv/66rrnmGq1fv15NmjQ5afz27dvVrVu3Cj+g9+jRQ3l5eUpISFDjxvYASocOHRz7TSaTAgMD1b59e8e20NBQSVJKSopj22uvvaZ33nlHcXFxKiwsVElJiWPJlICAAI0cOVIDBgzQVVddpX79+mn48OEKDw+XJE2cOFGjR4/We++9p379+mnYsGGO8MapTJ48WSNHjlRiYqImT56scePGqUWLFtV5+Sr48MMPNWvWLH3xxRcKCQmp8TwAAAAAzt7O7z5S0l8bJEnBMR3UvM8QNe1xtSxePk6uDACAY+Lj4zV69GgtW7bMsa1///56++23FRUV5cTKzn0Gg0EWi0UWi6XOutqWlZWpsLCwToMfNptNklRcXKzi4mJlZmbWybWYTKaz7uZxunt3d/dTfhAQAADgQkQoo5YUZKZq17Iliuk/TB7+wc4up1Kenp4Vgghvv/22fH199dZbb+mpp56q8bwnLh1iMBgqbDsa6jjaQnDx4sWaNGmSXnzxRXXr1k3e3t6aM2eO1q1b5zhmwYIFevDBB7V06VJ99NFHmjZtmpYvX66uXbtq5syZuvXWW/XNN9/ou+++04wZM7R48WJdf/31p6wxKChILVq0UIsWLbRkyRK1b99el156qdq2bVvt6128eLFGjx6tJUuWqF+/ftU+HgAAAEDN5KUc0t6fv9H+X77VgJlvy90/SJLU+tpbFdwqVs37DJZvo2gnVwkAwMkyMzNPCmRI0rJlyzR69GgtXrz4guiYcS5zcXGRt7e3vL2962R+m82moqKiWgl3nGpfaWmpJKm8vFy5ubnKzc2tk2uRJHd391pbzqWy+6ouZw0AANAQEMqoJcU5mdr9w6dq0rVfgw1lnMhgMMhoNKqwsLDS/W3atNEnn3wim83mCFasXr1a3t7eioyMrPF5V69ere7du2vcuHGObXv37j1pXKdOndSpUydNnTpV3bp104cffqiuXbtKkmJiYhQTE6OHH35YI0aM0IIFC04byjheVFSUbr75Zk2dOlVffPFFtWr/73//q7vvvluLFy/WtddeW61jAQAAAFRfaWG+Dqxdrn2rvnJ0w5Ckfb9+p4sG3y5JatLlSjXpcqWzSgQA4IySk5NPCmQctWzZMiUnJxPKuMAZDAa5u7vL3d29zs5RWlpaJ10+jt4f/z5zYWGhCgsLlZ6eXifX4uLictbLuJzu3t3dnSVeAABArSGUUUv8m8Ro2Fs/1NO5WmnEe2vkYqneD+jFxcVKSkqSZE/nz5s3T3l5eRo8eHCl48eNG6e5c+dq/PjxeuCBB7Rz507NmDFDEydOPKv2cy1bttS7776r77//XtHR0Xrvvfe0YcMGRUfbP9G2f/9+vfnmmxoyZIgiIiK0c+dO7d69W3fccYcKCws1efJk3XTTTYqOjlZCQoI2bNigG2+8sVo1PPTQQ2rXrp02btyoSy+9VJL0999/q6SkRBkZGcrNzdWWLVskybGsyocffqg777xTL7/8srp06eJ4Ld3d3eXr61vj1wMAAADAyfLTkrT5g1cUt+4HlRUX2TcaDAprd5la9Bmixl3oWgcAOHdkZ2ef1X6gNpjNZvn6+tbZe5lWq7VKS7zUNPiRn5/v6MZcVlam7OzsOv1vpza7e1S2zcWFP88AAHCh4F/9WlSQmarCzNTTjvEMCpebj7+KcjKVn5aowGb25TOyD+1XWXHlHSuO8otqKZPZrPzURJndPWT08KpWfUuXLlV4eLgkydvbW61bt9aSJUvUp0+fSsc3atRI3377rSZPnqzY2FgFBARo1KhRmjZtWrXOe6J7771Xv//+u26++WYZDAaNGDFC48aN03fffSfJ/sPujh07tGjRIqWnpys8PFz333+/7r33XpWVlSk9PV133HGHkpOTFRQUpBtuuEGzZs2qVg1t27ZV//79NX36dH377beSpIEDB+rgwYOOMZ06dZIkx1qOb775psrKynT//ffr/vvvd4y78847tXDhwrN5SQAAAABIKi0skNndQ5LkYnHXgTXfy1pWKp+IJmreZ4ia9Rokr+BwJ1cJAED1nemP4HzgB+cDo9EoT09PeXp61sn8NptNJSUlddrto7i42HG+owGSuuLq6lrry7ocf2+xWOj2AQBAA2GwHf2LMxwSEhIUFRWl+Pj4k5bpKCoq0v79+xUdHS03N7dj23My9dUjw1SQkXLaubuNnaGYfjdq1w+faO38Wbrzk22SpG+n/kOpu7ad9tib3lwmz8AwrXh2vKylpeo1cbYsXj41vErg3HCq/+YAAABwfijKzdKBX5dqz6ovZTAYdO1zHzj27Vr+P/k3iVFQy/a8oQwAOKdlZmbqlltuqXQJk/79+2vx4sUsXwI0AGVlZRW6fdRF8KO+/iRjNBprbTmXyu7d3d1lMpnq5VoAADjXEcqoRE1CGVL9dcrITUqQwWTiE2K4IBDKAAAAOP+Ul5bq0O+/au+qL5Ww6SdZy8okSQaTi26c/508A0OdXCEAALUvPj5eo0ePrhDM6N+/v95++21FRUU5sTIA9cVms6moqKhOwh5HH5eWltbb9bi5uZ02mHGqYPXpAtfVPaY252rIxzj7/PV1jLPPX1/HOPv89XVMbc710ksvqXv37qecD2joWL6kFnn4B8vDP7hKY918/OXmcyz97tsousrn8Q6LPPMgAAAAAGiAdv3wiTZ/8IqKczId2wKiW6t5n8GKvnyg3H0DnVgdAAB1JyoqSosXL1ZycrKys7Pl6+ur0NBQOmQAFxCDwSB3d3e5u7srMLBufu4tLS2tsy4f+fn5Kiw89uHSoqKiOrkGADhRdna2s0sAzgqhDAAAAABAnSnISJHRxewIpbt6eKs4J1PufkGK7jVQzXsPUUDTGCdXCQBA/fD39yeEAaBOmc1m+fr6ytfXt07mt1qtKiwsdIQ0rFZrpeNO1aT9dM3bq3tMbc7VkI9x9vnr6xhnn7++jnH2+evrmNo+/8UXX3zKfcC5gFAGAAAAAKBWlRUXKm79Su1d9aUSt/2m2OFjFTvsXklS1KW9deU/X1NEbDcZTfxKCgAAAJxLjEajPD095enpqeDgqnUOBwDgQsc7YAAAAACAs2az2ZSyfbP2rvpSB9YuV2lBnmNfzuGDjscmV4siL77cGSUCAAAAAAAA9Y5QBgAAAADgrNisVn01+WZlHtjp2OYVEqHmvQerWe/B8glv7MTqAAAAANS2zMxMJScnKzs7W35+fgoJCWF5JgAAToFQBgAAAACgWkryc3Voy2o17T5ABoNBBqNRAU1bKS85QU269VfzPoMV2uZiGYxGZ5cKAAAAoJbFx8dr9OjRWrZsmWNb//799fbbbysqKsqJlQEA0DARygAAAAAAnJG1vFyJ29Zq76qvFLf+R5WXFMsnvIkCm7WRJF3yjwnqes8/5WJxd3KlAAAAAOpKZmbmSYEMSVq2bJlGjx6txYsX0zEDAIATEMoAAAAAAJxSZtxu7V31lfb9/I0KM1Md230jm6kkL9vx3N0/yBnlAQAAAKhHycnJJwUyjlq2bJmSk5MJZQAAcAJCGbUoLzVRxbmZFbZZvPzkFRKhsuIiZR/ad8IRBsenyrIS9qm8pKjCXq+QSFm8fFSYla6CjOSK83r7yys4vFbrP3DggKKjo/X777+rY8eOtTr3hWTVqlXq27evMjMz5efn5+xyAAAAgBpL+mujvp9+t+O5xdtP0T2vUfM+QxTYvK0MBoMTqwMAAABQ37Kzs89qPwAAFyKnhjJ+/vlnzZkzR5s2bVJiYqI+++wzDR06VJJUWlqqadOm6dtvv9W+ffvk6+urfv366bnnnlNERMQp55w5c6ZmzZpVYVurVq20Y8eOurwUlZeWaOf3H+uvLxbIZrU6tre88np1HzdLuckJ+nryLRWOMbqYdftHmyRJv8x9TBn7K9bY+5EX1LR7f+37+RttXPRChX2Rl/bW5Q8+I1dP7yrVN3LkSC1atMjxPCAgQJdddplmz56tDh06SJKioqKUmJiooKDz4xNuR8MRp7Ny5Ur16dOn0n0LFy7UhAkTlJWVVfvFAQAAAA1MeWmJEjb+pLLiIjXvM1iSFNK6ozyDwhXQrI1a9BmiRhdfLpPZ7ORKAQAAADiLr6/vWe0HAOBC5NRQRn5+vmJjY3X33XfrhhtuqLCvoKBAmzdv1hNPPKHY2FhlZmbqoYce0pAhQ7Rx48bTznvRRRfphx9+cDx3can7yzSZXXXR4NvVtPtVFbZbvPwkSd6hkRo0Z/EJRx37VNnlE56rtFOGJDXrda3C2l1aYZ9nYFiVAxlHXX311VqwYIEkKSkpSdOmTdOgQYMUFxdnvwaTSWFhYdWasyHr3r27EhMTHc8feugh5eTkOF4DyR5OAQAAAC5UNptNaXv+1N5VX+rAr0tVnJctj4AQRV8+UEaTSUaTi66f9zVBDAAAAACSpNDQUPXv37/SJUz69++v0NBQJ1QFAHCG1157TXPmzFFSUpJiY2P16quvqnPnzqccv2TJEj3xxBM6cOCAWrZsqeeff14DBw507LfZbJoxY4beeustZWVlqUePHpo/f75atmzpGPP000/rm2++0ZYtW+Tq6lrph+sr6+z63//+V7fccstJ2+uL0WlnlnTNNdfoqaee0vXXX3/SPl9fXy1fvlzDhw9Xq1at1LVrV82bN0+bNm1yhAhOxcXFRWFhYY5bfXR+KC3MV1b8XvmEN1Fgs7aOm1eIvauHi8Wtwnb7rY3jeL/IZiftt3j5SJLc/QIrbPdvbP/Gs5aVVqtGi8XieE06duyoxx57TPHx8UpNta8LfeDAARkMBm3ZssVxzE8//aTOnTvLYrEoPDxcjz32mMrKyhz7+/Tpo/Hjx2vChAny9/dXaGio3nrrLeXn5+uuu+6St7e3WrRooe+++85xTHl5uUaNGqXo6Gi5u7urVatWevnllyvUumrVKnXu3Fmenp7y8/NTjx49dPDgQUnS1q1b1bdvX3l7e8vHx0eXXHJJpUEdV1fXCt8H7u7uFV4Di8Wi0aNHy9/fXx4eHrrmmmu0e/dux/nvuusuZWdny2AwyGAwaObMmZKk9957T5deeqm8vb0VFhamW2+9VSkpKdX6WgAAAADOlJ+epD8+fVtfPDRU3z52m3Yu/UjFedlyDwhRs16DVF5S7BhLIAMAAADAUf7+/nr77bfVv3//Ctv79++vt99+W/7+/k6qDABQnz766CNNnDhRM2bM0ObNmxUbG6sBAwac8m+ma9as0YgRIzRq1Cj9/vvvGjp0qIYOHao///zTMWb27Nl65ZVX9MYbb2jdunXy9PTUgAEDVFR0rLFBSUmJhg0bprFjx562vgULFigxMdFxO7pah7M4NZRRXUf/QO7n53facbt371ZERISaNWum22677YwhjuLiYuXk5Dhuubm51a4tJ/Ggvp8xSjmJB6t9bHVlxu3WR3f3UWbc7hrPkZeXp/fff18tWrRQYGBgpWMOHTqkgQMH6rLLLtPWrVs1f/58/d///Z+eeuqpCuMWLVqkoKAgrV+/XuPHj9fYsWM1bNgwde/eXZs3b1b//v11++23q6CgQJJktVoVGRmpJUuW6O+//9b06dP1+OOP6+OPP5YklZWVaejQoerdu7e2bdumtWvX6p577nGkmm677TZFRkZqw4YN2rRpkx577DGZa/BG8ciRI7Vx40Z9+eWXWrt2rWw2mwYOHKjS0lJ1795dc+fOlY+Pj+M/1kmTJkmyL63z5JNPauvWrfr888914MABjRw5strnBwAAAJzlj0/f0eYPXlH2of0yubqpWa9rddX0/+imN77XJbdPkNndw9klAgAAAGigoqKitHjxYm3fvl2//fabtm/frsWLFysqKsrZpQEA6sm///1vjRkzRnfddZfatm2rN954Qx4eHnrnnXcqHf/yyy/r6quv1uTJk9WmTRs9+eSTuvjiizVv3jxJ9i4Zc+fO1bRp03TdddepQ4cOevfdd3X48GF9/vnnjnlmzZqlhx9+WO3btz9tfX5+fhU+vO/m5lZr114TTl2+pDqKioo0ZcoUjRgxQj4+Pqcc16VLFy1cuFCtWrVSYmKiZs2apcsvv1x//vmnvL0rX+7j2Wef1ax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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# fum\n", + "model_comm2.reactions.rxn05561_cR.bounds = (-1000, 0.02)\n", + "model_comm2.reactions.rxn05561_cA.bounds = (-1000, 0.02)\n", + "%run plots.py\n", + "comm_plots = CommPlots(model_comm2)\n", + "atpm_max_cA_isolate, atpm_max_cR_isolate, time_steps, expected_growth_60R_40A, rates = comm_plots.constants()\n", + "model_comm2.reactions.ATPM_cA.lower_bound = 0\n", + "model_comm2.reactions.ATPM_cR.lower_bound = 0\n", + "solution_array = comm_plots.generate_solutions(cobra, rates, expected_growth_60R_40A)\n", + "solution_exp = comm_plots.generate_growth_gap_solutions(cobra, expected_growth_60R_40A, rates, solution_array)\n", + "exp_syncom = comm_plots.get_exp_syncom()\n", + "pred_syncom = comm_plots.generate_total_acc_data(time_steps, solution_exp)\n", + "plot_data_V = comm_plots.generate_organism_uptake_data(time_steps, solution_exp, monitor)\n", + "comm_plots.plot_total_acc(pred_syncom, exp_syncom)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "9cfdb021-bf9e-4204-84c9-b4baae55fbd2", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cpd00106_e0 Fumarate [e0] cA;e0 0.02\n", + "cpd00106_e0 Fumarate [e0] cR;e0 -0.02\n", + "\t total Fumarate [e0] 0.0\n", + "cpd00075_e0 Nitrite [e0] cR;e0 -0.005576334052533619\n", + "cpd00075_e0 Nitrite [e0] cA;e0 0.10673117143058604\n", + "\t total Nitrite [e0] 0.1011548374\n", + "cpd00659_e0 Nitrous oxide [e0] cR;e0 0.01836587793511403\n", + "\t total Nitrous oxide [e0] 0.0183658779\n", + "cpd00107_e0 L-Leucine [e0] cA;e0 0.0003732892052374769\n", + "cpd00107_e0 L-Leucine [e0] cR;e0 -0.00037328920523747687\n", + "\t total L-Leucine [e0] 0.0\n", + "cpd00209_e0 Nitrate [e0] cR;e0 -0.031155421817694443\n", + "cpd00209_e0 Nitrate [e0] cA;e0 -0.10673117143058604\n", + "\t total Nitrate [e0] -0.1378865932\n", + "cpd00029_e0 Acetate [e0] cR;e0 -0.005466111717094043\n", + "cpd00029_e0 Acetate [e0] cA;e0 -0.07169219928290595\n", + "\t total Acetate [e0] -0.077158311\n", + "cpd01981_e0 5-Methylthio-D-ribose [e0] cA;e0 1.0990070007872718e-06\n", + "\t total 5-Methylthio-D-ribose [e0] 1.099e-06\n" + ] + } + ], + "source": [ + "model_comm_io(model_comm2, solution_array[1]['solution'], exclude)" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "7dba8c6a-a4f2-4827-8e3b-947e177ac59c", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "index = {\n", + " 0: 'total',\n", + " 1: '3H11',\n", + " 2: 'R12',\n", + "}\n", + "lines = plot_data_zero_leu[0].keys()\n", + "data = {}\n", + "for i, alias in index.items():\n", + " for k in lines:\n", + " if len(plot_data_zero_leu[i][k]) > 0:\n", + " data[f'{k} ({alias})'] = plot_data_zero_leu[i][k]\n", + "import pandas as pd\n", + "pd.DataFrame(data).to_csv('./export/syncom_final.tsv', sep='\\t')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5ea96494-87a0-48f5-9fe4-7dd3211b6e23", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "b18a1096-bdd7-403c-991b-57c906723637", + "metadata": { + "jp-MarkdownHeadingCollapsed": true, + "tags": [] + }, + "source": [ + "# Debug stuff" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "75e7c776-9362-46c3-a8b3-896c2aa5c8da", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "model_comm2.reactions.rxn08655_cR.upper_bound = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "d8f65f08-e26e-47df-ae6c-511521c62413", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "model_comm2.reactions.rxn00172_cR.lower_bound = -1000" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "5621bfce-153a-4456-a281-c40bfbde0c67", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "\n", + "\n", + "\n", + "model_comm2.reactions.rxn00623_cR.bounds = (-1, 1000)\n", + "model_comm2.reactions.rxn00623_cA.bounds = (-1, 1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "68c82896-bdf7-423c-b3ce-b235b51cc3b9", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "5.437960019117976e-06" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "solution_array[1]['solution']['rxn08655_cR']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0c7044b2-a5f4-4d49-9ac4-61db6dfcdf51", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "909b1aaf-4639-49b5-bf0d-43039c9d9b45", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1669132b-7790-4b11-ac14-c0d25da11b66", + "metadata": { + "tags": [] + }, + "outputs": [], 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+ }, + { + "cell_type": "code", + "execution_count": 77, + "id": "062c152b-4133-45e7-806b-15273c0e7e2f", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 GROWTH 0 ATPM, exceess 0.00016628778640350638 0.00016230274640350638\n", + "0 MAX isolate ATPM 0.0282505623769332 0.020719461078731388\n", + "1 GROWTH 0 ATPM, exceess 0.001611187818577243 0.001567176918577243\n", + "1 MAX isolate ATPM 0.326349924359528 0.1995518616391905\n", + "2 GROWTH 0 ATPM, exceess 0.0026353685815903357 0.002597385281590336\n", + "2 MAX isolate ATPM 0.49369317604172946 0.33020744508800765\n", + "3 GROWTH 0 ATPM, exceess 0.0008420868425733736 0.0008246068425733737\n", + "3 MAX isolate ATPM 0.10388501054906486 0.09783329923552578\n", + "4 GROWTH 0 ATPM, exceess 0.0007943173851817955 0.0007855273851817956\n", + "4 MAX isolate ATPM 0.0939358758818359 0.08827827415929718\n", + "5 GROWTH 0 ATPM, exceess 0.0002891237871341885 0.0002806127871341885\n", + "5 MAX isolate ATPM 0.03966737659251745 0.041750664404489074\n", + "6 GROWTH 0 ATPM, exceess 6.79928852164172e-06 8.26119852164172e-06\n", + "6 MAX isolate ATPM 0.0007191215625 0.0005530854276315785\n", + "Acetate: -0.00796337 NO3 -0.015765185 NO2 -0.000300664 min community biomass 3.98504e-06 mATP 3H11 0.01130022495077328\n", + "Found solution mATP R12 0.015689076348979047 solution status optimal\n", + "Acetate: -0.077158311 NO3 -0.260613674 NO2 0 min community biomass 4.40109e-05 mATP 3H11 0.13053996974381119\n", + "Found solution mATP R12 0.13786749162446707 solution status optimal\n", + "Acetate: -0.126205391 NO3 -0.336007637 NO2 0 min community biomass 3.79833e-05 mATP 3H11 0.1974772704166918\n", + "Found solution mATP R12 0.2404917524006872 solution status optimal\n", + "Acetate: -0.047720639 NO3 0 NO2 -0.112949487 min community biomass 1.748e-05 mATP 3H11 0.04155400421962595\n", + "Found solution mATP R12 0.06793995425051985 solution status optimal\n", + "Acetate: -0.044917204 NO3 -0.00050591 NO2 -0.100448798 min community biomass 8.79e-06 mATP 3H11 0.03757435035273436\n", + "Found solution mATP R12 0.061538445597012714 solution status optimal\n", + "Acetate: -0.0163845 NO3 0 NO2 -0.06937439 min community biomass 8.511e-06 mATP 3H11 0.01586695063700698\n", + "Found solution mATP R12 0.025903060699702583 solution status optimal\n", + "Acetate: -0.018624539 NO3 -0.00033594 NO2 0 min community biomass -1.46191e-06 mATP 3H11 0.000287648625\n", + "Found solution mATP R12 0.0003814636875 solution status optimal\n", + "Biomass 3H11 0.0008575773279999989 Biomass R12 0.0013000459919999979 Biomass Total 0.002157623319999997 Time 141 Acetate 12.911973004291653 NO3 0.11462903200001467 NO2 0.5921826025522403 N2O 1.5178698942159377 N2 2.7508661735079354\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "comm_plots = CommPlots(model_comm2)\n", + "atpm_max_cA_isolate, atpm_max_cR_isolate, time_steps, expected_growth_60R_40A, rates = comm_plots.constants()\n", + "model_comm2.reactions.ATPM_cA.lower_bound = 0\n", + "model_comm2.reactions.ATPM_cR.lower_bound = 0\n", + "solution_array = comm_plots.generate_solutions(cobra, rates, expected_growth_60R_40A)\n", + "solution_exp = comm_plots.generate_growth_gap_solutions(cobra, expected_growth_60R_40A, rates, solution_array)\n", + "exp_syncom = comm_plots.get_exp_syncom()\n", + "pred_syncom = comm_plots.generate_total_acc_data(time_steps, solution_exp)\n", + "plot_data_zero_leu = comm_plots.generate_organism_uptake_data(time_steps, solution_exp, monitor)\n", + "comm_plots.plot_organism_uptake_data(plot_data_zero_leu, title='3H11/R12 Exchange rates no Leucine')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2252a9bb-f6db-4d9b-bdac-1cfdd139617d", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "ec4745e8-5bff-481b-a30a-163b4fb60852", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{0: {'solution': ,\n", + " 'max_atpm_a': 0.028258277710764328,\n", + " 'max_atpm_r': 0.028258277710764328},\n", + " 1: {'solution': ,\n", + " 'max_atpm_a': 0.32630450880092027,\n", + " 'max_atpm_r': 0.32630450880092027},\n", + " 2: {'solution': ,\n", + " 'max_atpm_a': 0.4936580032478576,\n", + " 'max_atpm_r': 0.4936580032478576},\n", + " 3: {'solution': ,\n", + " 'max_atpm_a': 0.1094729687944916,\n", + " 'max_atpm_r': 0.1094729687944916},\n", + " 4: {'solution': ,\n", + " 'max_atpm_a': 0.0991014738720491,\n", + " 'max_atpm_r': 0.0991014738720491},\n", + " 5: {'solution': ,\n", + " 'max_atpm_a': 0.041749871204679524,\n", + " 'max_atpm_r': 0.041749871204679524},\n", + " 6: {'solution': ,\n", + " 'max_atpm_a': 0.0007191215624999996,\n", + " 'max_atpm_r': 0.0007191215624999996}}" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "solution_array" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "34a71151-e09b-4979-8571-72541053bdeb", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "cobra.io.save_json_model(model_comm2, 'syncom.json')" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "907a75cd-172a-4f72-9c2d-cd80bebc598a", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "df_r12 = pd.read_csv('./data/annotation_rhoda.tsv', sep='\\t', index_col=1)\n", + "annotation = df_r12['RAST'].to_dict()\n", + "annotation_psort = df_r12['psort_loc'].to_dict()\n", + "df_3h11 = pd.read_csv('./data/annotation_acido.tsv', sep='\\t', index_col=1)\n", + "annotation.update(df_3h11['RAST'].to_dict())\n", + "annotation_psort.update(df_3h11['psort_loc'].to_dict())" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "0d30094b-e245-4218-8311-dbf6bf5ea0b7", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "abbr = {\n", + " 'Cytoplasmic': 'c',\n", + " 'CytoplasmicMembrane': 'cm',\n", + " 'Extracellular': 'e',\n", + " 'OuterMembrane': 'om',\n", + " 'Periplasmic': 'p',\n", + " 'Unknown': '?'\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "5ac750f1-4a24-46c6-9dbe-b310aff7e16e", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "67f93f5c-be19-461d-8e09-3011c5567474", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "for g in model_comm2.genes:\n", + " if g.id in annotation:\n", + " g.name = f\"{annotation[g.id]} [{abbr[annotation_psort[g.id]]}]\"\n", + " #print(g.name)\n", + " else:\n", + " print('?')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6c38ae4b-32d1-4ef9-96bf-983ababda4cd", + "metadata": {}, + "outputs": [], + "source": [ + "# 0 total 1 3H11 2 R12" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "8ec73ba3-cce7-4e31-989b-410652b636ae", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['i', 'growth', 'acetate', 'no3', 'no2', 'no', 'n2o', 'n2', 'leu'])" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "plot_data_50_leu[0].keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "692df358-0541-4e84-8cda-dde01b0d1efc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['i', 'growth', 'acetate', 'no3', 'no2', 'no', 'n2o', 'n2', 'leu'])" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "plot_data_10_leu[2].keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "c93bf280-0e86-4469-95c2-2b630f645c97", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(plot_data_10_leu)" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "5c101196-a90f-4b32-9c50-748378b10bfe", + "metadata": {}, + "outputs": [], + "source": [ + "data = {}\n", + "for i in range(len(pred_syncom['i'])):\n", + " time_val = pred_syncom['i'][i]\n", + " if time_val not in data:\n", + " data[time_val] = {}\n", + " for attr in pred_syncom.keys():\n", + " if attr != 'i':\n", + " if attr not in data[time_val]:\n", + " data[time_val][attr] = pred_syncom[attr][i]" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "id": "f7645828-6de8-448a-a325-1046dbe43327", + "metadata": {}, + "outputs": [], + "source": [ + "def append(data, dt, sufix = None):\n", + " for i in range(len(dt['i'])):\n", + " time_val = dt['i'][i]\n", + " if time_val not in data:\n", + " data[time_val] = {}\n", + " for attr in dt.keys():\n", + " if attr != 'i':\n", + " _col = attr + sufix if sufix else attr\n", + " if _col not in data[time_val]:\n", + " data[time_val][_col] = dt[attr][i]\n", + "\n", + "append(data, total_uptake_data, '_rate')\n", + "append(data, plot_data_zero_leu[1], '_3H11_rate__leucine0')\n", + "append(data, plot_data_zero_leu[2], '_R12_rate_leucine0')\n", + "append(data, plot_data_10_leu[1], '_3H11_rate__leucine10')\n", + "append(data, plot_data_10_leu[2], '_R12_rate_leucine10')\n", + "append(data, plot_data_50_leu[1], '_3H11_rate_leucine50')\n", + "append(data, plot_data_50_leu[2], '_R12_rate_leucine50')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "227b84ff-1097-4f81-898d-3a0d88ba4842", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "549173f3-6e56-4ef5-9457-ffe596c96230", + "metadata": {}, + "outputs": [], + "source": [ + "df_output = pd.DataFrame(data).transpose()\n", + "df_output.to_csv('table_syncom_exp_fit.tsv', sep='\\t')" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "id": "5d957ef1-63a5-4b10-adc5-183534a0136a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'i': [0, 23, 42, 53, 71, 95, 119],\n", + " 'acetate': [18.0313603,\n", + " 17.8482028,\n", + " 16.3821949,\n", + " 14.9939356,\n", + " 14.1349641,\n", + " 13.0569512,\n", + " 12.6637232],\n", + " 'biomass': [8.208e-05,\n", + " 0.000173736,\n", + " 0.001009944,\n", + " 0.00142776,\n", + " 0.0017424,\n", + " 0.00195336,\n", + " 0.002157624],\n", + " 'no3': [9.14450462,\n", + " 8.78190537,\n", + " 3.83024557,\n", + " 0.13416156,\n", + " 0.14078438,\n", + " 0.12864254,\n", + " 0.13250585],\n", + " 'no2': [0.09977915,\n", + " 0.09286388,\n", + " 2.86216542,\n", + " 6.21128614,\n", + " 4.17819538,\n", + " 1.76742424,\n", + " 0.10243888],\n", + " 'n2o': [0, 0.06733333, 0.20266667, 0.00333333, 0.00266667, 0.00333333, 0]}" + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "exp_syncom" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7f9e787d-c09e-41d3-b771-d46dacdab325", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "COBRA cplex", + "language": "python", + "name": "modelseed_cplex" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 29bdfec6c037c5e19430fe11d9a3281e12bfb64c Mon Sep 17 00:00:00 2001 From: Filipe Liu Date: Fri, 13 Dec 2024 18:38:43 +0000 Subject: [PATCH 3/4] flux data --- Metabolic_modeling/export/syncom_flux_I.tsv | 143 ++++++++++++++++++ Metabolic_modeling/export/syncom_flux_II.tsv | 143 ++++++++++++++++++ Metabolic_modeling/export/syncom_flux_III.tsv | 143 ++++++++++++++++++ Metabolic_modeling/export/syncom_flux_IV.tsv | 143 ++++++++++++++++++ Metabolic_modeling/export/syncom_flux_V.tsv | 143 ++++++++++++++++++ Metabolic_modeling/syncom_exp_fit.ipynb | 11 +- 6 files changed, 721 insertions(+), 5 deletions(-) create mode 100644 Metabolic_modeling/export/syncom_flux_I.tsv create mode 100644 Metabolic_modeling/export/syncom_flux_II.tsv create mode 100644 Metabolic_modeling/export/syncom_flux_III.tsv create mode 100644 Metabolic_modeling/export/syncom_flux_IV.tsv create mode 100644 Metabolic_modeling/export/syncom_flux_V.tsv diff --git a/Metabolic_modeling/export/syncom_flux_I.tsv b/Metabolic_modeling/export/syncom_flux_I.tsv new file mode 100644 index 0000000..cb0d223 --- /dev/null +++ b/Metabolic_modeling/export/syncom_flux_I.tsv @@ -0,0 +1,143 @@ + acetate (total) no3 (total) no2 (total) no (total) n2o (total) n2 (total) leu (total) pyr (total) for (total) succ (total) fum (total) i (total) acetate (3H11) no3 (3H11) no2 (3H11) no (3H11) n2o (3H11) n2 (3H11) leu (3H11) pyr (3H11) for (3H11) succ (3H11) fum (3H11) i (3H11) growth (3H11) acetate (R12) no3 (R12) no2 (R12) no (R12) n2o (R12) n2 (R12) leu (R12) pyr (R12) for (R12) succ (R12) fum (R12) i (R12) growth (R12) +0 0.00796337032387182 0.015765185 0.0 0 -0.007865719774459802 -1.6872725540198288e-05 0 0 0 0 0 0 -0.007761581882195158 -0.015765185 0.015765185 0 -1.6872725540198288e-05 1.6872725540198288e-05 0 0.0 -3.82573562487122e-08 0.0 0.0025239717236760504 0 1.5940160000000001e-06 -0.00020178844167666207 0.0 -0.015765185 0.0 0.0078825925 0 0 0.0 3.82573562487122e-08 0.0 -0.0025239717236760504 0 2.391024e-06 +1 0.00796337032387182 0.015765185 0.0 0 -0.007865719774459802 -1.6872725540198288e-05 0 0 0 0 0 1 -0.007761581882195158 -0.015765185 0.015765185 0 -1.6872725540198288e-05 1.6872725540198288e-05 0 0.0 -3.82573562487122e-08 0.0 0.0025239717236760504 1 1.5940160000000001e-06 -0.00020178844167666207 0.0 -0.015765185 0.0 0.0078825925 0 0 0.0 3.82573562487122e-08 0.0 -0.0025239717236760504 1 2.391024e-06 +2 0.00796337032387182 0.015765185 0.0 0 -0.007865719774459802 -1.6872725540198288e-05 0 0 0 0 0 2 -0.007761581882195158 -0.015765185 0.015765185 0 -1.6872725540198288e-05 1.6872725540198288e-05 0 0.0 -3.82573562487122e-08 0.0 0.0025239717236760504 2 1.5940160000000001e-06 -0.00020178844167666207 0.0 -0.015765185 0.0 0.0078825925 0 0 0.0 3.82573562487122e-08 0.0 -0.0025239717236760504 2 2.391024e-06 +3 0.00796337032387182 0.015765185 0.0 0 -0.007865719774459802 -1.6872725540198288e-05 0 0 0 0 0 3 -0.007761581882195158 -0.015765185 0.015765185 0 -1.6872725540198288e-05 1.6872725540198288e-05 0 0.0 -3.82573562487122e-08 0.0 0.0025239717236760504 3 1.5940160000000001e-06 -0.00020178844167666207 0.0 -0.015765185 0.0 0.0078825925 0 0 0.0 3.82573562487122e-08 0.0 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b/Metabolic_modeling/export/syncom_flux_IV.tsv new file mode 100644 index 0000000..f64b68d --- /dev/null +++ b/Metabolic_modeling/export/syncom_flux_IV.tsv @@ -0,0 +1,143 @@ + acetate (total) no3 (total) no2 (total) no (total) n2o (total) n2 (total) leu (total) pyr (total) for (total) succ (total) fum (total) i (total) acetate (3H11) no3 (3H11) no2 (3H11) no (3H11) n2o (3H11) n2 (3H11) leu (3H11) pyr (3H11) for (3H11) succ (3H11) fum (3H11) i (3H11) growth (3H11) acetate (R12) no3 (R12) no2 (R12) no (R12) n2o (R12) n2 (R12) leu (R12) pyr (R12) for (R12) succ (R12) fum (R12) i (R12) growth (R12) +0 0.0079618398093328 0.015765185 4.625800224219989e-05 0 -0.0079057215011211 0.0 0 0 0 0 0 0 -0.002436098028800462 -0.009658315408268656 0.009658315408268656 0.0 0.0 0.0 0.0 0 -3.825735624871478e-08 0 0 0 1.5940160000000001e-06 -0.005525741780532338 -0.006106869591731345 -0.009704573410510856 0.0 0.0079057215011211 0 0.0 0 3.825735624871478e-08 0 0 0 2.391024e-06 +1 0.0079618398093328 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a/Metabolic_modeling/syncom_exp_fit.ipynb b/Metabolic_modeling/syncom_exp_fit.ipynb index d7b7207..5ce9a7c 100644 --- a/Metabolic_modeling/syncom_exp_fit.ipynb +++ b/Metabolic_modeling/syncom_exp_fit.ipynb @@ -1863,7 +1863,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 61, "id": "7dba8c6a-a4f2-4827-8e3b-947e177ac59c", "metadata": { "tags": [] @@ -1875,14 +1875,15 @@ " 1: '3H11',\n", " 2: 'R12',\n", "}\n", - "lines = plot_data_zero_leu[0].keys()\n", + "_data = plot_data_V\n", + "lines = _data[0].keys()\n", "data = {}\n", "for i, alias in index.items():\n", " for k in lines:\n", - " if len(plot_data_zero_leu[i][k]) > 0:\n", - " data[f'{k} ({alias})'] = plot_data_zero_leu[i][k]\n", + " if len(_data[i][k]) > 0:\n", + " data[f'{k} ({alias})'] = _data[i][k]\n", "import pandas as pd\n", - "pd.DataFrame(data).to_csv('./export/syncom_final.tsv', sep='\\t')" + "pd.DataFrame(data).to_csv('./export/syncom_flux_V.tsv', sep='\\t')" ] }, { From 8d9f89468add5a4ccd7639d1597abc77b3a1c169 Mon Sep 17 00:00:00 2001 From: Filipe Liu Date: Fri, 20 Dec 2024 12:36:56 -0600 Subject: [PATCH 4/4] modelling --- .gitignore | 2 +- Metabolic_modeling/analysis.ipynb | 6 +- Metabolic_modeling/plots.py | 160 ++++++++++++++++++++++++++++++ 3 files changed, 164 insertions(+), 4 deletions(-) diff --git a/.gitignore b/.gitignore index c7eb863..9b3cce2 100755 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,3 @@ # Jupyter Notebook .ipynb_checkpoints - +.idea diff --git a/Metabolic_modeling/analysis.ipynb b/Metabolic_modeling/analysis.ipynb index fa02236..6ad54a5 100755 --- a/Metabolic_modeling/analysis.ipynb +++ b/Metabolic_modeling/analysis.ipynb @@ -2113,9 +2113,9 @@ ], "metadata": { "kernelspec": { - "display_name": "COBRA cplex", + "display_name": "modelseed", "language": "python", - "name": "modelseed_cplex" + "name": "modelseed" }, "language_info": { "codemirror_mode": { @@ -2127,7 +2127,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.11.0" } }, "nbformat": 4, diff --git a/Metabolic_modeling/plots.py b/Metabolic_modeling/plots.py index b9b6fb5..f9afa66 100755 --- a/Metabolic_modeling/plots.py +++ b/Metabolic_modeling/plots.py @@ -4,6 +4,166 @@ import pandas as pd +class PlotFit: + + def __init__(self, model, data, od_to_biomass_coeff, cobra): + self.data = data + self.model = model + self.cobra = cobra + self.solutions_bio = [] + self.solutions_atp = {} + self.od_to_biomass_coeff = od_to_biomass_coeff + self.intervals = len(self.data['time']) - 1 + + def fit(self): + for i in range(self.intervals): + print(i, i + 1) + _t0 = self.data['time'][i] + _t1 = self.data['time'][i + 1] + _t = _t1 - _t0 + _ac0 = self.data['Acetate'][i] + _ac1 = self.data['Acetate'][i + 1] + + _od600_0 = self.data['OD600'][i] + _od600_1 = self.data['OD600'][i + 1] + + _no3_0 = self.data['NO3'][i] + _no3_1 = self.data['NO3'][i + 1] + + _ac_uptake = (_ac1 - _ac0) / _t + _no3_uptake = (_no3_1 - _no3_0) / _t + _od600_change = (_od600_1 - _od600_0) / _t + _biomass_change = _od600_change * self.od_to_biomass_coeff + + if _ac_uptake < 0 and _no3_uptake < 0: + print('time', _t0, _t1) + print(f'Acetate {_ac0} - {_ac1} ({_ac_uptake}/time)') + print(f'NO3 {_no3_0} - {_no3_1} ({_no3_uptake}/time)') + print(f'OD600 {_od600_0} - {_od600_1} ({_od600_change}/time, Biomass {_biomass_change}/time) ') + + self.model.objective = 'bio1' + self.model.reactions.EX_cpd00209_e0.lower_bound = _no3_uptake + self.model.reactions.EX_cpd00029_e0.lower_bound = _ac_uptake + self.model.reactions.bio1.lower_bound = 0 + self.model.reactions.bio1.upper_bound = _biomass_change + + sol_bio = self.cobra.flux_analysis.pfba(self.model) + self.solutions_bio.append(sol_bio) + + _biomass_err = (_biomass_change - sol_bio.fluxes['bio1']) ** 2 + _ac_err = (_ac_uptake - sol_bio.fluxes['EX_cpd00029_e0']) ** 2 + _no3_err = (_no3_uptake - sol_bio.fluxes['EX_cpd00209_e0']) ** 2 + + print('error biomass:', _biomass_err, 'AC', _ac_err, 'NO3', _no3_err) + + self.model.objective = 'ATPM_c0' + self.model.reactions.bio1.lower_bound = _biomass_change + self.model.reactions.bio1.upper_bound = _biomass_change + + sol_atp = self.cobra.flux_analysis.pfba(self.model) + self.solutions_atp[(_t0, _t1)] = sol_atp + + _biomass_err = (_biomass_change - sol_atp.fluxes['bio1']) ** 2 + _ac_err = (_ac_uptake - sol_atp.fluxes['EX_cpd00029_e0']) ** 2 + _no3_err = (_no3_uptake - sol_atp.fluxes['EX_cpd00209_e0']) ** 2 + + print('error biomass:', _biomass_err, 'AC', _ac_err, 'NO3', _no3_err) + print(sol_atp.fluxes['ATPM_c0']) + print() + + @staticmethod + def generate_total_acc_data(solutions, capture, base_values=None): + if base_values is None: + base_values = {} + df_res = {k: [] for k in capture} + df_res['time'] = [] + arr_acc = {k: base_values.get(k, 0) for k in capture} + + for (_t0, _t1), sol in solutions.items(): + time = _t0 + _t = _t1 - _t0 + for time_step in range(_t): + for alias, rxn_id in capture.items(): + df_res[alias].append(arr_acc[alias]) + arr_acc[alias] += sol.fluxes[rxn_id] + df_res['time'].append(time) + time += 1 + + return df_res + + def build_plot_data(self, od_t0=0.01093, acetate_t0=18.0313603, no3_t0=9.14450462, capture=None): + if capture is None: + capture = { + 'biomass': 'bio1', + 'acetate': 'EX_cpd00029_e0', + 'no3': 'EX_cpd00209_e0', + 'no2': 'EX_cpd00075_e0', + 'n2o': 'EX_cpd00659_e0', + 'no': 'EX_cpd00418_e0', + 'n2': 'EX_cpd00528_e0', + } + base_values = { + 'biomass': od_t0 * self.od_to_biomass_coeff, + 'acetate': acetate_t0, + 'no3': no3_t0, + } + _data_pred = PlotFit.generate_total_acc_data(self.solutions_atp, capture, base_values) + + return _data_pred + + def get_exp_data(self): + _data_exp = {k: list(v.values()) for k, v in self.data.items()} + _data_exp['biomass'] = [x * self.od_to_biomass_coeff for x in _data_exp['OD600']] + _data_exp.keys() + return _data_exp + + def plot(self, _data_pred, _data_exp): + import matplotlib.patches as mpatches + import matplotlib.pyplot as plt + + color_acetate = 'black' + color_no3 = 'blue' + color_no2 = 'green' + color_n2o = 'purple' + color_no = 'orange' + color_n2 = 'cyan' + + fig, ax = plt.subplots() + ax2 = ax.twinx() + fig.set_size_inches(25.7, 8.27) + + sns.lineplot(data=_data_pred, x='time', y='biomass', ax=ax2, color='sienna') + sns.scatterplot(data=_data_exp, x='time', y='biomass', ax=ax2, color='sienna') + + sns.lineplot(data=_data_pred, x='time', y='acetate', ax=ax, color=color_acetate) + sns.scatterplot(data=_data_exp, x='time', y='Acetate', ax=ax, color=color_acetate) + sns.lineplot(data=_data_pred, x='time', y='no3', ax=ax, color=color_no3) + sns.scatterplot(data=_data_exp, x='time', y='NO3', ax=ax, color=color_no3) + sns.lineplot(data=_data_pred, x='time', y='no2', ax=ax, color=color_no2) + sns.scatterplot(data=_data_exp, x='time', y='NO2', ax=ax, color=color_no2) + sns.lineplot(data=_data_pred, x='time', y='n2o', ax=ax, color=color_n2o) + sns.scatterplot(data=_data_exp, x='time', y='N2O', ax=ax, color=color_n2o) + + sns.lineplot(data=_data_pred, x='time', y='no', ax=ax, color=color_no) + sns.lineplot(data=_data_pred, x='time', y='n2', ax=ax, color=color_n2) + + plt.legend(handles=[ + mpatches.Patch(color=color_acetate, label='Acetate'), + mpatches.Patch(color=color_no3, label='NO3'), + mpatches.Patch(color=color_no2, label='NO2'), + mpatches.Patch(color=color_no, label='NO'), + mpatches.Patch(color=color_n2o, label='N2O'), + mpatches.Patch(color=color_n2, label='N2'), + mpatches.Patch(label='Dot experimental values', facecolor=None, color='white'), + mpatches.Patch(edgecolor='sienna', label='Biomass', facecolor='white'), + ]) + ax.set_title('Concentration') + ax.set_xlabel('Time') + ax.set_ylabel('mM') + ax2.set_ylabel('gDW') + sns.despine(fig, ax) + + class CommPlots: def __init__(self, model):