In Silico Structure-Based Repositioning of Approved Drugs for Spike Glycoprotein S2 Domain Fusion Peptide of SARS-CoV-2: Rationale from Molecular Dynamics and Binding Free Energy Calculations

Author:

Shekhar Nishant1,Sarma Phulen1,Prajapat Manisha1,Avti Pramod2,Kaur Hardeep1,Raja Anupam1,Singh Harvinder1,Bhattacharya Anusuya3,Sharma Saurabh1,Kumar Subodh1,Prakash Ajay1,Medhi Bikash1ORCID

Affiliation:

1. Department of Pharmacology, PGIMER, Chandigarh, India

2. Department of Biophysics, PGIMER, Chandigarh, India

3. Department of Ophthalmology, Government Medical College & Hospital, Chandigarh, India

Abstract

The present study provides the structural identification of the viable binding residues of the SARS-CoV-2 S2 fusion peptide region, which holds prime importance in the virus’s host cell fusion and entry mechanism. The classical molecular mechanics simulations were set on values that mimic physiological standards for a good approximation of the dynamic behavior of selected drugs in biological systems. The drug molecules screened and analyzed here have relevant antiviral properties, which are reported here and which might hint toward their utilization in the coronavirus disease 2019 (COVID-19) pandemic owing to their attributes of binding to the fusion protein binding region shown in this study.

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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