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Updated: Dec 26, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
Neighborhood Preference of Amino Acids in Protein Structures and its Applications in Protein Structure Assessment
Siyuan Liu1,2, Xilun Xiang1,2, Xiang Gao1,2
1Complex Systems Division, Beijing Computational Science Research Center, Haidian, Beijing, 100193, China.
Abstract:
Amino acids form protein 3D structures in unique manners such that the folded structure is stable and functional under physiological conditions. Non-specific and non-covalent interactions between amino acids exhibit neighborhood preferences. Based on structural information from the protein data bank, a statistical energy function was derived to quantify amino acid neighborhood preferences. The neighborhood of one amino acid is defined by its contacting residues, and the energy function is determined by the neighboring residue types and relative positions. The neighborhood preference of amino acids was exploited to facilitate structural quality assessment, which was implemented in the neighborhood preference program NEPRE. The source codes are available via https://github.com/LiuLab-CSRC/NePre.
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