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

Dariia Yehorova, Rory Crean, Peter M. Kasson, Shina Caroline Lynn Kamerlin

2024Protein Science14 citationsDOIOpen Access PDF

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.

Topics & Concepts

Key (lock)Conserved sequenceProtein Interaction NetworksComputational biologyProtein–protein interactionBiologyEvolutionary biologyGeneticsEcologyPeptide sequenceGeneBioinformatics and Genomic NetworksProtein Structure and DynamicsMicrobial Metabolic Engineering and Bioproduction
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