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一种用于选择 SARS-CoV 病毒刺突糖蛋白抑制剂的创新方法。

An innovative method for the selection of inhibitors of the viral spike-glycoprotein of the SARS-CoV.

机构信息

Department of Molecular Biophysics, St. Petersburg State University, 199034 St. Petersburg, Russia.

Department of Medical Physics, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.

出版信息

J Bioinform Comput Biol. 2021 Feb;19(1):2050043. doi: 10.1142/S0219720020500432. Epub 2020 Nov 19.

Abstract

This paper has developed and described a detailed method for selecting inhibitors based on modified natural peptides for the SARS-CoV BJ01 spike-glycoprotein. The selection of inhibitors is carried out by increasing the affinity of the peptide to the active center of the protein. This paper also provides a step-by-step algorithm for analyzing the affinity of protein interactions and presents an analysis of energy interactions between the active center of a protein and the wild-type peptide interacting with it, taking into account modifications of the latter. A description of the software package that implements the presented algorithm is given on the website https://binomlabs.com/covid19.

摘要

本文开发并描述了一种详细的方法,用于基于修饰后的天然肽选择针对 SARS-CoV BJ01 刺突糖蛋白的抑制剂。抑制剂的选择是通过增加肽与蛋白质活性中心的亲和力来进行的。本文还提供了一种分析蛋白质相互作用亲和力的分步算法,并提出了一种分析蛋白质活性中心与与其相互作用的野生型肽之间能量相互作用的方法,同时考虑了后者的修饰。在网站 https://binomlabs.com/covid19 上提供了实现所提出算法的软件包的说明。

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