Literature DB >> 33678621

Screening potential FDA-approved inhibitors of the SARS-CoV-2 major protease 3CLpro through high-throughput virtual screening and molecular dynamics simulation.

Wen-Shan Liu1, Han-Gao Li1, Chuan-Hua Ding1, Hai-Xia Zhang1, Rui-Rui Wang2, Jia-Qiu Li3.   

Abstract

It has been confirmed that the new coronavirus SARS-CoV-2 caused the global pandemic of coronavirus disease 2019 (COVID-19). Studies have found that 3-chymotrypsin-like protease (3CLpro) is an essential enzyme for virus replication, and could be used as a potential target to inhibit SARS-CoV-2. In this work, 3CLpro was used as the target to complete the high-throughput virtual screening of the FDA-approved drugs, and Indinavir and other 10 drugs with high docking scores for 3CLpro were obtained. Studies on the binding pattern of 3CLpro and Indinavir found that Indinavir could form the stable hydrogen bond (H-bond) interactions with the catalytic dyad residues His41-Cys145. Binding free energy study found that Indinavir had high binding affinity with 3CLpro. Subsequently, molecular dynamics simulations were performed on the 3CLpro and 3CLpro-Indinavir systems, respectively. The post-dynamic analyses showed that the conformational state of the 3CLpro-Indinavir system transformed significantly and the system tended to be more stable. Moreover, analyses of the residue interaction network (RIN) and H-bond occupancy revealed that the residue-residue interaction at the catalytic site of 3CLpro was significantly enhanced after binding with Indinavir, which in turn inactivated the protein. In short, through this research, we hope to provide more valuable clues against COVID-19.

Entities:  

Keywords:  COVID-19; Indinavir; SARS-CoV-2; molecular docking; molecular dynamics simulation

Mesh:

Substances:

Year:  2021        PMID: 33678621      PMCID: PMC7993695          DOI: 10.18632/aging.202703

Source DB:  PubMed          Journal:  Aging (Albany NY)        ISSN: 1945-4589            Impact factor:   5.682


  39 in total

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Review 1.  Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2.

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Journal:  Chem Rev       Date:  2022-05-20       Impact factor: 72.087

2.  Identification of potential target endoribonuclease NSP15 inhibitors of SARS-COV-2 from natural products through high-throughput virtual screening and molecular dynamics simulation.

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Journal:  J Food Biochem       Date:  2022-02-06       Impact factor: 2.720

  2 in total

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