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Structure-based virtual screening,in silico docking,ADME properties prediction and molecular dynamics studies for the identification of potential inhibitors against SARS-CoV-2 Mpro
Authors:Mohan  Anbuselvam  Rendine  Nicole  Mohammed  Mohammed Kassim Sudheer  Jeeva  Anbuselvam  Ji  Hai-Feng  Talluri  Venkateswara Rao
Institution:1.Department of Biotechnology, Selvamm Arts and Science College (Autonomous), Namakkal, Tamil Nadu, 637 003, India
;2.Department of Chemistry, Drexel University, Philadelphia, PA, 19104, USA
;3.Department of Botany, Government Arts and Science College (Autonomous), Coimbatore, Tamil Nadu, 641 018, India
;4.Department of Animal Science, Bharathidasan University, Tiruchirappalli, Tamil Nadu, 620 024, India
;5.Prof.TNA Innovation Centre, Varsha Bioscience and Technology India Private Limited, Jiblakpally, Yadadri District, Hyderabad, Telangana, 508 284, India
;
Abstract:

COVID-19 is a viral pandemic caused by SARS-CoV-2. Due to its highly contagious nature, millions of people are getting affected worldwide knocking down the delicate global socio-economic equilibrium. According to the World Health Organization, COVID-19 has affected over 186 million people with a mortality of around 4 million as of July 09, 2021. Currently, there are few therapeutic options available for COVID-19 control. The rapid mutations in SARS-CoV-2 genome and development of new virulent strains with increased infection and mortality among COVID-19 patients, there is a great need to discover more potential drugs for SARS-CoV-2 on a priority basis. One of the key viral enzymes responsible for the replication and maturation of SARS-CoV-2 is Mpro protein. In the current study, structure-based virtual screening was used to identify four potential ligands against SARS-CoV-2 Mpro from a set of 8,722 ASINEX library compounds. These four compounds were evaluated using ADME filter to check their ADME profile and druggability, and all the four compounds were found to be within the current pharmacological acceptable range. They were individually docked to SARS-CoV-2 Mpro protein to assess their molecular interactions. Further, molecular dynamics (MD) simulations was carried out on protein–ligand complex using Desmond at 100 ns to explore their binding conformational stability. Based on RMSD, RMSF and hydrogen bond interactions, it was found that the stability of protein–ligand complex was maintained throughout the entire 100 ns simulations for all the four compounds. Some of the key ligand amino acid residues participated in stabilizing the protein–ligand interactions includes GLN 189, SER 10, GLU 166, ASN 142 with PHE 66 and TRP 132 of SARS-CoV-2 Mpro. Further optimization of these compounds could lead to promising drug candidates for SARS-CoV-2 Mpro target.

Keywords:
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