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

Author:

Yehorova Dariia1,Crean Rory M.2,Kasson Peter M.345,Kamerlin Shina C. L.12ORCID

Affiliation:

1. School of Chemistry and Biochemistry, Georgia Institute of Technology Atlanta Georgia USA

2. Department of Chemistry—BMC Uppsala University Uppsala Sweden

3. Department of Molecular Physiology University of Virginia Charlottesville Virginia USA

4. Department Biomedical Engineering University of Virginia Charlottesville Virginia USA

5. Department of Cell and Molecular Biology Uppsala University Uppsala Sweden

Abstract

AbstractProtein 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.

Funder

Vetenskapsrådet

National Institutes of Health

Publisher

Wiley

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