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Current Bioinformatics

Editor-in-Chief

ISSN (Print): 1574-8936
ISSN (Online): 2212-392X

Research Article

Identification of Potential Inhibitors Against SARS-CoV-2 Using Computational Drug Repurposing Study

Author(s): Hasan Zulfiqar, Fu-Ying Dao, Hao Lv, Hui Yang, Peng Zhou, Wei Chen* and Hao Lin*

Volume 16, Issue 10, 2021

Published on: 26 July, 2021

Page: [1320 - 1327] Pages: 8

DOI: 10.2174/1574893616666210726155903

Price: $65

Abstract

Background: SARS-Cov-2 is a newly emerged coronavirus and causes a severe type of pneumonia in the host organism. So, it is an urgent need to find some inhibitors against SARS-Cov-2. Therefore, drug repurposing study is an effective strategy for treating pneumonia to find the inhibitors of SARS-Cov-2 proteins.

Methods: For this purpose, a library of 2500 verified drug chemical compounds was generated and the compounds were docked against Nucleocapsid, Membrane and Envelope protein structures of SARSCov- 2 to determine the binding affinity of the chemical compounds against targeting binding pockets. Moreover, cheminformatics properties and ADMET of these compounds were assessed to find the druglikeness behavior of compounds. The chemical compounds with the lowest S-score were identified as potential inhibitors.

Results: Our findings showed that the compound ids 1212, 1019 and 1992 could interact inside the active sites of membrane protein, nucleocapsid protein and envelope protein.

Conclusion: This in silico knowledge will be helpful for the design of novel, safe and less expensive drugs against the SARS-Cov-2.

Keywords: Molecular docking, SARS-Cov-2, COVID-19, inhibitors, protein, drug.

Graphical Abstract

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