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An innovative method for the selection of inhibitors of the viral spike-glycoprotein of the SARS-CoV
Journal of Bioinformatics and Computational Biology ( IF 1 ) Pub Date : 2020-10-01 , DOI: 10.1142/s0219720020500432
T. V. Koshlan 1 , K. G. Kulikov 2
Affiliation  

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.

中文翻译:

一种选择 SARS-CoV 病毒刺突糖蛋白抑制剂的创新方法

本文开发并描述了一种基于 SARS-CoV BJ01 刺突糖蛋白修饰的天然肽选择抑制剂的详细方法。通过增加肽对蛋白质活性中心的亲和力来选择抑制剂。本文还提供了分析蛋白质相互作用亲和力的分步算法,并分析了蛋白质活性中心与与其相互作用的野生型肽之间的能量相互作用,同时考虑了后者的修饰。在网站 https://binomlabs.com/covid19 上给出了实现所提出算法的软件包的描述。
更新日期:2020-10-01
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