Protein protein interaction site prediction based on conditional random fields

Motivation: We are motivated by the fast-growing number of protein structures in the Protein Data Bank with necessary information for prediction of protein- protein interaction sites to develop methods for identification of residues participating in protein- protein interactions. We would like to compare conditional random fields (CRFs)-based method with conventional classification-based methods that omit the relation between two labels of neighboring residues to show the advantages of CRFs-base