In silico identification of SARS-CoV-2 cell entry inhibitors from selected natural antivirals

J Mol Graph Model. 2021 Dec:109:108038. doi: 10.1016/j.jmgm.2021.108038. Epub 2021 Sep 29.

Abstract

The aim of this study is to identify potential drug-like molecules against SARS-CoV-2 virus among the natural antiviral compounds published in the Encyclopedia of Traditional Chinese Medicine. To test inhibition capability of these compounds first, we docked them with Spike protein, angiotensin-converting enzyme 2 (ACE2) (PDB ID: 6M0J) and neuropilin 1 (NRP1) (PDB ID: 7JJC) receptors, and found significant docking scores with extra precision up to -11 kcal/mol. Then, their stability in the binding pockets were further evaluated with molecular dynamics simulation. Eight natural antiviral compounds were identified as potential inhibitors against SARS-CoV-2 cell entry after 200 ns molecular dynamics simulations. We found CMP-3, CMP-4, CMP-5, CMP-6 and CMP-8 are strong binders for the spike protein, CMP-1, CMP-2, CMP-4, CMP-5 and CMP-7 are strong binders for the neuropilin receptor, and CMP-5 is a strong binder for the ACE2. Quercetin derivatives (CMP-4, CMP-5, CMP-6 and CMP-7) were found highly stable in the active domain of NRP1, ACE2 and Spike protein. Especially, CMP-5 showed an inhibitory activity for all targets. These natural antivirals may be potential drug candidates for the prevention of SARS-CoV-2 infection.

Keywords: ACE2; Antivirals; Molecular docking; Molecular dynamics simulation; Neuropilin; SARS-CoV-2; Spike protein.

MeSH terms

  • Antiviral Agents / pharmacology
  • COVID-19*
  • Humans
  • Molecular Dynamics Simulation
  • SARS-CoV-2*
  • Spike Glycoprotein, Coronavirus
  • Virus Internalization

Substances

  • Antiviral Agents
  • Spike Glycoprotein, Coronavirus