School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia, USA.
Department of Chemistry-BMC, Uppsala University, Uppsala, Sweden.
Protein Sci. 2024 Mar;33(3):e4911. doi: 10.1002/pro.4911.
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.
蛋白质结构(进而决定其功能)取决于非共价相互作用网络。这些网络在蛋白质家族之间具有高度的进化保守性,尽管其成员在序列和进化历史上可能存在差异。我们在此介绍 KIN,这是一种用于识别和分析进化相关蛋白组中非共价相互作用网络的工具。KIN 可在 https://www.github.com/kamerlinlab/KIN 上根据 GNU 通用公共许可证第 2 版下载。KIN 可用于实验确定的结构、预测的结构或分子动力学轨迹,从而深入了解进化相关蛋白中保守和缺失的相互作用。这不仅为蛋白质进化提供了有用的见解,而且还提供了一种可用于蛋白质工程的工具。作为一个展示系统,我们演示了该工具在理解 A 类β-内酰胺酶的进化相关保守相互作用网络方面的应用。