In silico screening of phytochemical compounds and FDA drugs as potential inhibitors for NSP16/10 5' methyl transferase activity

J Biomol Struct Dyn. 2023 Jan;41(1):221-233. doi: 10.1080/07391102.2021.2005680. Epub 2021 Nov 30.

Abstract

The recent global pandemic associated with the highly contagious novel coronavirus (SARS-CoV-2) has led to an unpredictable loss of life and economy worldwide, and the discovery of antiviral drugs is an urgent necessity. For the discovery of new drug leads and for the treatment of various diseases, natural products and purified photochemical from medicinal plants are used. The RNA cap was methylated by two S-adenosyl-L-methionine (SAM)-dependent methyltransferases of SARS coronavirus (SARS-CoV-2), catalyzed by NSP16 2'-O-Mtase. Natural substrate SAM, 128 Phytocompounds retrieved from the Phytocompounds database, and 11 standard FDA-approved HIV drugs reclaimed from the PubChem database are subjected to docking analysis. The docking study was done using AutoDock Vina. Further, admetSAR and DruLiTO servers are used to analyze the drug-likeness properties. The NSP16/10 structure and natural substrate SAM, Phytocompounds Withanolide (WTL), and HIV standard drug Dolutegravir (DLT) as hit compounds were identified by molecular dynamics using the Gromacs GPU-enabled package. To examine the effectiveness of the identified drugs versus COVID-19, further in vitro and in vivo studies are required. Communicated by Ramaswamy H. Sarma.

Keywords: COVID-19; dynamics; in silico; interfacial; methyltransferases; simulation.

MeSH terms

  • COVID-19*
  • HIV Infections*
  • Humans
  • Methyltransferases
  • Molecular Docking Simulation
  • Molecular Dynamics Simulation
  • Phytochemicals / pharmacology
  • Protease Inhibitors / pharmacology
  • S-Adenosylmethionine
  • SARS-CoV-2 / metabolism

Substances

  • Methyltransferases
  • S-Adenosylmethionine
  • Phytochemicals
  • Protease Inhibitors