Molecular Docking Studies of Bioactive Nicotiflorin against 6W63 Novel Coronavirus 2019 (COVID-19)

Author:

Dubey Raghvendra1ORCID,Dubey Kushagra2ORCID

Affiliation:

1. Department of Pharmaceutical Chemistry, Matoshri Institute of Pharmacy, Yeola, Nashik, Maharashtra 423401, India

2. Department of Pharmaceutical Chemistry, Smriti College of Pharmaceutical Education; 4/1 Pipliya Kumar, MR-11, Dewas Naka Indore, Madhya Pradesh 452010, India

Abstract

Background: COVID-19 which is known as the novel coronavirus was reported in December 2019 in Wuhan city, China and many people have been contaminated by environmental contamination and transmission from one human to another until now. Objective: The objective of the present work is to establish the inhibitory potential of nicotiflorin, a Kaempferol 3-O-rutinoside flavonoid, against the deadly coronavirus (COVID-19) 6W63 (main protease 3Clpro protein), using molecular docking approach. Method: The Molegro Virtual Docker software (MVD) with a 30 Å grid resolution was used. The structure was drawn by Chem 3D software and energy minimization was done by the MM2 force field. The protein 6W63 was downloaded from the protein data bank. Molegro modeller was used for score calculations. Result: The molecular docking studies were carried out on nicotiflorin and standard inhibitor X77, where standard inhibitor was observed in a co-crystallized state with main protease 3Clpro protein 6W63. The MolDock score, Rerank Sore and H Bond score of nicotiflorin and standard inhibitor X77 was observed as -173.058, -127.302, -21.9398 and -156.913,- 121.296,-5.7369, respectively. Conclusion: Molecular docking studies have confirmed that the affinity of flavonoid nicotiflorin with the amino acids of the viral protein 6W63 was relatively more than the standard X77. For the effective treatment of novel coronavirus COVID-19, the effectiveness of the identified flavonoid nicotiflorin can further be evaluated for safety and efficacy parameters at both preclinical and clinical stages.

Publisher

Bentham Science Publishers Ltd.

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine

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