
Study of Functional and Allosteric Sites in Protein Superfamilies
Author(s) -
Dmitry A. Suplatov,
Vytas K. Švedas
Publication year - 2015
Publication title -
acta naturae
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 26
ISSN - 2075-8251
DOI - 10.32607/20758251-2015-7-4-34-45
Subject(s) - allosteric regulation , computational biology , structural bioinformatics , function (biology) , allosteric enzyme , biology , structural biology , binding site , protein structure , drug discovery , protein superfamily , protein engineering , small molecule , enzyme , biochemistry , chemistry , microbiology and biotechnology , gene
The interaction of proteins (enzymes) with a variety of low-molecular-weight compounds, as well as protein-protein interactions, is the most important factor in the regulation of their functional properties. To date, research effort has routinely focused on studying ligand binding to the functional sites of proteins (active sites of enzymes), whereas the molecular mechanisms of allosteric regulation, as well as binding to other pockets and cavities in protein structures, remained poorly understood. Recent studies have shown that allostery may be an intrinsic property of virtually all proteins. Novel approaches are needed to systematically analyze the architecture and role of various binding sites and establish the relationship between structure, function, and regulation. Computational biology, bioinformatics, and molecular modeling can be used to search for new regulatory centers, characterize their structural peculiarities, as well as compare different pockets in homologous proteins, study the molecular mechanisms of allostery, and understand the communication between topologically independent binding sites in protein structures. The establishment of an evolutionary relationship between different binding centers within protein superfamilies and the discovery of new functional and allosteric (regulatory) sites using computational approaches can improve our understanding of the structure-function relationship in proteins and provide new opportunities for drug design and enzyme engineering.