diff --git a/openmmdl/tests/analysis/markov_state_figure_generation_test.py b/openmmdl/tests/analysis/markov_state_figure_generation_test.py
deleted file mode 100644
index 98465aa3..00000000
--- a/openmmdl/tests/analysis/markov_state_figure_generation_test.py
+++ /dev/null
@@ -1,35 +0,0 @@
-import networkx as nx
-import os
-from openmmdl.openmmdl_analysis.markov_state_figure_generation import (
-    min_transition_calculation,
-    binding_site_markov_network,
-)
-
-
-# Create a test for min_transition_calculation
-def test_min_transition_calculation():
-    min_transition = 10
-    expected_output = [10, 20, 50, 100]
-    result = min_transition_calculation(min_transition)
-    assert result == expected_output
-
-
-# Create a test for binding_site_markov_network
-def test_binding_site_markov_network():
-    # Define test data
-    total_frames = 1000
-    min_transitions = [5, 10]
-    combined_dict = {"all": ["A", "B", "A", "C", "B", "A", "C", "A", "A", "B"]}
-    fig_type = "png"
-
-    # Run the function
-    binding_site_markov_network(total_frames, min_transitions, combined_dict, fig_type)
-
-    # Check if the output file exists for each min_transition
-    for min_transition_percent in min_transitions:
-        plot_filename = f"markov_chain_plot_{min_transition_percent}.png"
-        plot_path = os.path.join("Binding_Modes_Markov_States", plot_filename)
-        assert os.path.exists(plot_path)
-
-
-# Optionally, you can include more test cases to cover different scenarios and edge cases.