xgBoost based Interface Prediction of Specific Partner Interactions (BIPSPI) is a new method for the prediction of partner-specific protein interfaces from pdb files or input sequences. BIPSPI employs Extreme Gradient Boosting (XGBoost) models trained on the residue pairs of the protein complexes compiled in Protein-Protein Docking Benchmark version 5 and an scoring function that converts pair prediction to interface residue predictions.

Datasets and precomputed results used for training and evaluation are available in our download section.