Identification of bioactive molecules from tea plant as SARS-CoV-2 main protease inhibitors.


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:
07 2021
Historique:
pubmed: 14 5 2020
medline: 24 6 2021
entrez: 14 5 2020
Statut: ppublish

Résumé

The SARS-CoV-2 is the causative agent of COVID-19 pandemic that is causing a global health emergency. The lack of targeted therapeutics and limited treatment options have triggered the scientific community to develop new vaccines or small molecule therapeutics against various targets of SARS-CoV-2. The main protease (Mpro) is a well characterized and attractive drug target because of its crucial role in processing of the polyproteins which are required for viral replication. In order to provide potential lead molecules against the Mpro for clinical use, we docked a set of 65 bioactive molecules of Tea plant followed by exploration of the vast conformational space of protein-ligand complexes by long term molecular dynamics (MD) simulations (1.50 µs). Top three bioactive molecules (Oolonghomobisflavan-A, Theasinensin-D, and Theaflavin-3-O-gallate) were selected by comparing their docking scores with repurposed drugs (Atazanavir, Darunavir, and Lopinavir) against SARS-CoV-2. Oolonghomobisflavan-A molecule showed a good number of hydrogen bonds with Mpro and higher MM-PBSA binding energy when compared to all three repurposed drug molecules. during the time of simulation. This study showed Oolonghomobisflavan-A as a potential bioactive molecule to act as an inhibitor for the Mpro of SARS-CoV-2.

Identifiants

pubmed: 32397940
doi: 10.1080/07391102.2020.1766572
pmc: PMC7256349
doi:

Substances chimiques

Antiviral Agents 0
Phytochemicals 0
Protease Inhibitors 0
3C-like proteinase, SARS-CoV-2 EC 3.4.22.-
Coronavirus 3C Proteases EC 3.4.22.28

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3449-3458

Auteurs

Vijay Kumar Bhardwaj (VK)

Structural Bioinformatics Lab, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur, HP, India.
Biotechnology division, CSIR-IHBT, Palampur, HP, India.
Academy of Scientific & Innovative Research (AcSIR), CSIR-IHBT Campus, Palampur, HP, India.

Rahul Singh (R)

Structural Bioinformatics Lab, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur, HP, India.
Biotechnology division, CSIR-IHBT, Palampur, HP, India.

Jatin Sharma (J)

Structural Bioinformatics Lab, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur, HP, India.
Biotechnology division, CSIR-IHBT, Palampur, HP, India.

Vidya Rajendran (V)

Biotechnology division, CSIR-IHBT, Palampur, HP, India.

Rituraj Purohit (R)

Structural Bioinformatics Lab, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur, HP, India.
Biotechnology division, CSIR-IHBT, Palampur, HP, India.
Academy of Scientific & Innovative Research (AcSIR), CSIR-IHBT Campus, Palampur, HP, India.

Sanjay Kumar (S)

Biotechnology division, CSIR-IHBT, Palampur, HP, India.

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Classifications MeSH