Created by Eli Blaney at Creighton University in December 2020.
This program combines information from the STRING and PDBbind databases to train machine learning models on the functional relationship scores between proteins.
This project was created to compare the effectiveness of several machine learning algorithms as they pertain to predicting the functional relationships of given proteins.
Contributions are welcome. Submit a pull request with your code or an issue for suggestions.