Protein-protein interface hot spots prediction based on a hybrid feature selection strategy

Hot spots are interface residues that contribute most binding affinity to protein-protein interaction. A compact and relevant feature subset is important for building machine learning methods to predict hot spots on protein-protein interfaces.