Literature DB >> 29218757

Local and global anatomy of antibody-protein antigen recognition.

Meryl Wang1, David Zhu1, Jianwei Zhu2, Ruth Nussinov1,3, Buyong Ma1.   

Abstract

Deciphering antibody-protein antigen recognition is of fundamental and practical significance. We constructed an antibody structural dataset, partitioned it into human and murine subgroups, and compared it with nonantibody protein-protein complexes. We investigated the physicochemical properties of regions on and away from the antibody-antigen interfaces, including net charge, overall antibody charge distributions, and their potential role in antigen interaction. We observed that amino acid preference in antibody-protein antigen recognition is entropy driven, with residues having low side-chain entropy appearing to compensate for the high backbone entropy in interaction with protein antigens. Antibodies prefer charged and polar antigen residues and bridging water molecules. They also prefer positive net charge, presumably to promote interaction with negatively charged protein antigens, which are common in proteomes. Antibody-antigen interfaces have large percentages of Tyr, Ser, and Asp, but little Lys. Electrostatic and hydrophobic interactions in the Ag binding sites might be coupled with Fab domains through organized charge and residue distributions away from the binding interfaces. Here we describe some features of antibody-antigen interfaces and of Fab domains as compared with nonantibody protein-protein interactions. The distributions of interface residues in human and murine antibodies do not differ significantly. Overall, our results provide not only a local but also a global anatomy of antibody structures.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  allosteric regulation; antibody-antigen recognition; binding epitopes; mAb drugs; protein-protein interaction

Mesh:

Substances:

Year:  2017        PMID: 29218757      PMCID: PMC5903993          DOI: 10.1002/jmr.2693

Source DB:  PubMed          Journal:  J Mol Recognit        ISSN: 0952-3499            Impact factor:   2.137


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