Abstract

Introduction

The extreme health and economic problems in the world due to the SARS-CoV-2 infection have led to an urgent need to identify potential drug targets for treating coronavirus disease 2019 (COVID-19). The present state-of-the-art tool-based screening was targeted to identify drug targets among clinically approved drugs by uncovering SARS-CoV-2 helicase inhibitors through molecular docking analysis.

Material and methods

Helicase is a vital viral replication enzyme, which unwinds nucleic acids and separates the double-stranded nucleic acids into single-stranded nucleic acids. Hence, the SARS-CoV-2 helicase protein 3D structure was predicted, validated, and used to screen the druggable targets among clinically approved drugs such as protease inhibitor, nucleoside reverse transcriptase inhibitor, and non-nucleoside reverse transcriptase inhibitors, used to treat HIV infection using molecular docking analysis.

Results

Interaction with SARS-CoV-2 helicase, approved drugs, vapreotide (affinity: –12.88; S score: –9.84 kcal/mol), and atazanavir (affinity: –11.28; S score: –9.32 kcal/mol), approved drugs for treating AIDS-related diarrhoea and HIV infection, respectively, are observed with significantly low binding affinity and MOE score or binding free energy. The functional binding pockets of the clinically approved drugs on SARS-CoV-2 helicase protein molecule suggest that vapreotide and atazanavir may interrupt the activities of the SARS-CoV-2 helicase.

Conclusions

The study suggests that vapreotide may be a choice of drug for wet lab studies to inhibit the infection of SARS-CoV-2.

Details

Title
State-of-the-art tools unveil potent drug targets amongst clinically approved drugs to inhibit helicase in SARS-CoV-2
Author
Borgio, J Francis; Hind Saleh Alsuwat; Waad Mohammed Al Otaibi; Ibrahim, Abdallah M; Almandil, Noor B; Lubna Ibrahim Al Asoom; Salahuddin, Mohammed; Kamaraj, Balu; Sayed AbdulAzeez
Pages
508-518
Publication year
2020
Publication date
2020
Publisher
Termedia Publishing House
ISSN
17341922
e-ISSN
18969151
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2401126551
Copyright
© 2020. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.