Ensemble docking based virtual screening of SARS‐CoV‐2 main protease inhibitors

Author:

Fomina Anastasia D.12ORCID,Uvarova Victoria I.1,Kozlovskaya Liubov I.13,Palyulin Vladimir A.2,Osolodkin Dmitry I.13,Ishmukhametov Aydar A.13

Affiliation:

1. FSASI “Chumakov FSC R&D IBP RAS” (Institute of Poliomyelitis) 108819 Moscow Russia

2. Department of Chemistry Lomonosov Moscow State University 119991 Moscow Russia

3. Institute of Translational Medicine and Biotechnology Sechenov First Moscow State Medical University 119991 Moscow Russia

Abstract

AbstractDuring the first years of COVID‐19 pandemic, X‐ray structures of the coronavirus drug targets were acquired at an unprecedented rate, giving hundreds of PDB depositions in less than a year. The main protease (Mpro) of severe acute respiratory syndrome‐related coronavirus 2 (SARS‐CoV‐2) is the primary validated target of direct‐acting antivirals. The selection of the optimal ensemble of structures of Mpro for the docking‐driven virtual screening campaign was thus non‐trivial and required a systematic and automated approach. Here we report a semi‐automated active site RMSD based procedure of ensemble selection from the SARS‐CoV‐2 Mpro crystallographic data and virtual screening of its inhibitors. The procedure was compared with other approaches to ensemble selection and validated with the help of hand‐picked and peer‐reviewed activity‐annotated libraries. Prospective virtual screening of non‐covalent Mpro inhibitors resulted in a new chemotype of thienopyrimidinone derivatives with experimentally confirmed enzyme inhibition.

Publisher

Wiley

Reference88 articles.

1. The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2

2. Johns Hopkins Coronavirus Research Center. Johns Hopkins Coronavirus Resource Centerhttps://coronavirus.jhu.edu/ accessed: September 14th2023.

3. Vaccines – COVID19 Vaccine Tracker.https://covid19.trackvaccines.org/vaccines/approved/#vaccine-list accessed: September 14th2023.

4. The impact of COVID-19 vaccines on the Case Fatality Rate: The importance of monitoring breakthrough infections

5. Multiple pathways for SARS-CoV-2 resistance to nirmatrelvir

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3