In a brief way, some promising ideas:
- Train with crops of 64x64, not windows of 200x200 (and average at prediction time).
- Use data from Multiple Sequence Alignments (MSA) such as paired changes bewteen AAs.
- Use distance map as potential input for angle prediction (or vice versa?).
- Use Physicochemical features of AAs as input.
- Train with more data (in the cloud?)
- Use predictions as constraints to the Rosetta Method for Protein Structure Prediction
- Set up a prediction script/function from raw text/FASTA file
- ...
"Science is a Work In Progress."
Hey there! New ideas are welcome: open/close issues, fork the repo and share your code with a Pull Request. Clone this project to your computer:
git clone https://github.com/EricAlcaide/MiniFold
By participating in this project, you agree to abide by the thoughtbot code of conduct
- Author's GitHub Profile: Eric Alcaide
- Twitter: @eric_alcaide
- Email: [email protected]