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Protein-protein interacts through specific interface residues to execute biological functions.Correctly understanding the mechanisms of interface recognition and predicting the interface residues are important for many aspects of life science studies.Here,we report a novel architecture to study and predict protein interface residues.In our method,a multiple dimensional feature space was built on some meaningful features.Then we grided the space and put all the surface residues into the grids according to their feature values.