Drug repurposing studies targeting SARS-CoV-2: an ensemble docking approach on drug target 3C-like protease (3CL


Journal

Journal of biomolecular structure & dynamics
ISSN: 1538-0254
Titre abrégé: J Biomol Struct Dyn
Pays: England
ID NLM: 8404176

Informations de publication

Date de publication:
09 2021
Historique:
pubmed: 18 7 2020
medline: 9 9 2021
entrez: 18 7 2020
Statut: ppublish

Résumé

The COVID-19 pandemic has been responsible for several deaths worldwide. The causative agent behind this disease is the Severe Acute Respiratory Syndrome - novel Coronavirus 2 (SARS-CoV-2). SARS-CoV-2 belongs to the category of RNA viruses. The main protease, responsible for the cleavage of the viral polyprotein is considered as one of the hot targets for treating COVID-19. Earlier reports suggest the use of HIV anti-viral drugs for targeting the main protease of SARS-CoV, which caused SARS in the year 2002-2003. Hence, drug repurposing approach may prove to be useful in targeting the main protease of SARS-CoV-2. The high-resolution crystal structure of the main protease of SARS-CoV-2 (PDB ID: 6LU7) was used as the target. The Food and Drug Administration approved and SWEETLEAD database of drug molecules were screened. The apo form of the main protease was simulated for a cumulative of 150 ns and 10 μs open-source simulation data was used, to obtain conformations for ensemble docking. The representative structures for docking were selected using RMSD-based clustering and Markov State Modeling analysis. This ensemble docking approach for the main protease helped in exploring the conformational variation in the drug-binding site of the main protease leading to the efficient binding of more relevant drug molecules. The drugs obtained as top hits from the ensemble docking possessed anti-bacterial and anti-viral properties. This

Identifiants

pubmed: 32679006
doi: 10.1080/07391102.2020.1792344
pmc: PMC7441806
doi:

Substances chimiques

Pharmaceutical Preparations 0
Protease Inhibitors 0
Peptide Hydrolases EC 3.4.-

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5735-5755

Auteurs

Shruti Koulgi (S)

High-Performance Computing-Medical and Bioinformatics Applications Group, Centre for Development of Advanced Computing (C-DAC), Panchavati, Pashan, Pune, India.

Vinod Jani (V)

High-Performance Computing-Medical and Bioinformatics Applications Group, Centre for Development of Advanced Computing (C-DAC), Panchavati, Pashan, Pune, India.

Mallikarjunachari Uppuladinne (M)

High-Performance Computing-Medical and Bioinformatics Applications Group, Centre for Development of Advanced Computing (C-DAC), Panchavati, Pashan, Pune, India.

Uddhavesh Sonavane (U)

High-Performance Computing-Medical and Bioinformatics Applications Group, Centre for Development of Advanced Computing (C-DAC), Panchavati, Pashan, Pune, India.

Asheet Kumar Nath (AK)

High-Performance Computing-Medical and Bioinformatics Applications Group, Centre for Development of Advanced Computing (C-DAC), Panchavati, Pashan, Pune, India.

Hemant Darbari (H)

High-Performance Computing-Medical and Bioinformatics Applications Group, Centre for Development of Advanced Computing (C-DAC), Panchavati, Pashan, Pune, India.

Rajendra Joshi (R)

High-Performance Computing-Medical and Bioinformatics Applications Group, Centre for Development of Advanced Computing (C-DAC), Panchavati, Pashan, Pune, India.

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Classifications MeSH