Structural and Functional Analyses of SARS COV-2 RNA-dependent RNA Polymerase Protein and Complementary vs. Synthetic Drugs against COVID-19 and the Exploration of Binding Sites for Docking, Molecular Dynamics Simulation, and Density Functional Theory Studies

Author:

Fatmi Muhammad Qaiser1,Jafar Tassadaq Hussain2ORCID,Unar Ahsanullah3,Imtiaz Mahrukh1,Trung Truong Tan4,Rafiq Maria5

Affiliation:

1. Department of Biosciences, COMSATS University Islamabad Campus, Islamabad, Pakistan

2. Department of Medicine and Health Sciences, Universita Degli Studi Del Molise, Campobasso, Italy

3. School of Life Sciences, University of Sciences and Technology of China, (USTC), Hefei, China

4. Institute of Research and Applied Technological Science (IRATS), Dong Nai Technology University, Dong Nai 810000, Vietnam

5. National Centre for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan

Abstract

Background: RNA-dependent RNA polymerase (RdRp) contributes to the transcription cycle of the SARS-CoV-2 virus with the possible assistance of nsp-7-8 cofactors. Objective: To investigate the viral protective effects of complementary drugs in computational approaches that use viral proteins. Methods: For the in silico studies, the identified compounds were subjected to molecular docking with RdRp protein followed by structural and functional analyses, density functional theory (DFT), and molecular dynamics (MD) simulation. The 3D structure of RdRp (6m71 PDB ID) was obtained from the protein databank as a target receptor. After reviewing the literature, 20 complementary and synthetic drugs were selected for docking studies. The top compounds were used for DFT and MD simulation at 200 ns. DFT of the compounds was calculated at B3LYP/6-311G (d, p) based on chemical properties, polarizability, and first-order hyperpolarizability. Results were analyzed using USCF Chimera, Discovery Studio, LigPlot, admetSAR, and mCule. Results: Computational studies confirmed the potent interaction of the complementary drugs forsythiaside A, rhoifolin, and pectolinarin with RdRp. Common potential residues of RdRp (i.e., Thr-556, Tyr-619, Lys-621, Arg-624, Asn-691, and Asp-760) were observed for all three docking complexes with hydrogen bonding. Docking analysis showed strong key interactions, hydrogen bonding, and binding affinities (-8.4 to −8.5 kcal/mol) for these ligands over the FDA-approved drugs (−7.4 to −7.6 kcal/mol). Docking and simulation studies showed these residues in the binding domains. Conclusion: Significant outcomes of novel molecular interactions in docking, simulation, DFT, and binding domains in the structural and functional analyses of RdRp were observed.

Publisher

Bentham Science Publishers Ltd.

Subject

Computational Mathematics,Genetics,Molecular Biology,Biochemistry

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