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Updated: Jun 22, 2026

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
Published on: January 26, 2024
Empirical estimation of the energetic contribution of individual interface residues in structures of protein-protein
Mainak Guharoy1, Pinak Chakrabarti
1Department of Biochemistry, Bose Institute, P-1/12 CIT Scheme VIIM, Calcutta, 700054, India.
Abstract:
We report a simple algorithm to scan interfaces in protein-protein complexes for identifying binding 'hot spots'. The change in side-chain solvent accessible area (DeltaASA) of interface residues has been related to change in binding energy due to mutating interface residues to Ala (DeltaDeltaG (X --> ALA)) based on two criteria-hydrogen bonding across the interface and location in the interface core-both of which are major determinants in specific, high-affinity binding. These relationships are used to predict the energetic contribution of individual interface residues. The predictions are tested against 462 experimental X --> ALA mutations from 28 interfaces with an average unsigned error of 1.04 kcal/mol. More than 80% of interface hot spots (with experimental DeltaDeltaG > or = 2 kcal/mol) could be identified as being energetically important. From the experimental values, Asp, Lys, Tyr and Trp are found to contribute most of the binding energy, burying >45 A2 on average. The method described here would be useful to understand and interfere with protein interactions by assessing the energetic importance of individual interface residues.
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