The final trained models were evaluated with the F1-score, receiver operating characteristic (ROC) and area under ROC (AUROC) metrics on the holdout set. The feature importances were calculated to determine the relative contributions of protein and ligand features within the models. Protein feature importance (PFI) was defined as a fraction of total feature importance related to the protein part of the joined representation.