Molecular docking, DFT analysis, and dynamics simulation of natural bioactive compounds targeting ACE2 and TMPRSS2 dual binding sites of spike protein of SARS CoV-2.

DFT Dual inhibitor MD simulations SARS-CoV-2 Spike protein

Journal

Journal of molecular liquids
ISSN: 0167-7322
Titre abrégé: J Mol Liq
Pays: Netherlands
ID NLM: 9882716

Informations de publication

Date de publication:
15 Nov 2021
Historique:
received: 01 03 2021
revised: 20 06 2021
accepted: 05 07 2021
pubmed: 27 7 2021
medline: 27 7 2021
entrez: 26 7 2021
Statut: ppublish

Résumé

The scientific community is continuously working to discover drug candidates against potential targets of SARS-CoV-2, but effective treatment has not been discovered yet. The virus enters the host cell through molecular interaction with its enzymatic receptors i.e., ACE2 and TMPRSS2, which, if, synergistically blocked can lead to the development of novel drug candidates. In this study, 1503 natural bioactive compounds were screened by HTVS, followed by SP and XP docking using Schrodinger Maestro software. Bio-0357 (protozide) and Bio-597 (chrysin) were selected for dynamics simulation based on synergistic binding affinity on S1 (docking score -9.642 and -8.78 kcal/mol) and S2 domains (-5.83 and -5.3 kcal/mol), and the RMSD, RMSF and Rg analyses showed stable interaction. The DFT analysis showed that the adsorption of protozide/chrysin, the band gap of protozide/chrysin-F/G reduced significantly. From SERS, results, it can be concluded that QDs nanocluster will act as a sensor for the detection of drugs. The docking study showed Bio-0357 and Bio-0597 bind to both S1 and S2 domains through stable molecular interactions, which can lead to the discovery of new drug candidates to prevent the entry of SARS-CoV-2. This in-silico study may be helpful to researchers for further in vitro experimental validation and development of new therapy for COVID-19.

Identifiants

pubmed: 34305216
doi: 10.1016/j.molliq.2021.116942
pii: S0167-7322(21)01666-4
pmc: PMC8267125
doi:

Types de publication

Journal Article

Langues

eng

Pagination

116942

Informations de copyright

© 2021 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Rohitash Yadav (R)

Department of Pharmacology, All India Institute of Medical Sciences, Rishikesh, India.

Shazia Hasan (S)

Department of Pharmacology, All India Institute of Medical Sciences, Rishikesh, India.

Sumit Mahato (S)

Department of Pharmacology, All India Institute of Medical Sciences, Rishikesh, India.

Ismail Celik (I)

Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Erciyes University, Kayseri, Turkey.

Y S Mary (YS)

Thushara, Neethinagar, Kollam, Kerala, India.

Ashish Kumar (A)

Department of Biochemistry, All India Institute of Medical Sciences, Rishikesh, India.

Puneet Dhamija (P)

Department of Pharmacology, All India Institute of Medical Sciences, Rishikesh, India.

Ambika Sharma (A)

Department of Biochemistry, U.P. Pt. DeenDayalUpadhyaya Veterinary Science University, Mathura, U.P., India.

Neha Choudhary (N)

Centre for Computational Biology and Bioinformatics, School of Life Sciences, Central University of Himachal Pradesh, India.

Pankaj Kumar Chaudhary (PK)

Department of Biotechnology, Indian Institute of Technology, Roorkee, India.

Ankita Singh Kushwah (AS)

Department of Biotechnology, Indian Institute of Technology, Roorkee, India.

Jitendra Kumar Chaudhary (JK)

Department of Zoology, Shivaji College, University of Delhi, New Delhi, India.

Classifications MeSH