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Key interaction networks: Identifying evolutionarily conserved non-covalent interaction networks across protein families.

Authors :
Yehorova D
Crean RM
Kasson PM
Kamerlin SCL
Source :
Protein science : a publication of the Protein Society [Protein Sci] 2024 Mar; Vol. 33 (3), pp. e4911.
Publication Year :
2024

Abstract

Protein structure (and thus function) is dictated by non-covalent interaction networks. These can be highly evolutionarily conserved across protein families, the members of which can diverge in sequence and evolutionary history. Here we present KIN, a tool to identify and analyze conserved non-covalent interaction networks across evolutionarily related groups of proteins. KIN is available for download under a GNU General Public License, version 2, from https://www.github.com/kamerlinlab/KIN. KIN can operate on experimentally determined structures, predicted structures, or molecular dynamics trajectories, providing insight into both conserved and missing interactions across evolutionarily related proteins. This provides useful insight both into protein evolution, as well as a tool that can be exploited for protein engineering efforts. As a showcase system, we demonstrate applications of this tool to understanding the evolutionary-relevant conserved interaction networks across the class A β-lactamases.<br /> (© 2024 The Authors. Protein Science published by Wiley Periodicals LLC on behalf of The Protein Society.)

Subjects

Subjects :
Algorithms
Proteins chemistry

Details

Language :
English
ISSN :
1469-896X
Volume :
33
Issue :
3
Database :
MEDLINE
Journal :
Protein science : a publication of the Protein Society
Publication Type :
Academic Journal
Accession number :
38358258
Full Text :
https://doi.org/10.1002/pro.4911