Ligand-based design, synthesis, computational insights, and in vitro studies of novel N-(5-Nitrothiazol-2-yl)-carboxamido derivatives as potent inhibitors of SARS-CoV-2 main protease

J Enzyme Inhib Med Chem. 2022 Dec;37(1):2112-2132. doi: 10.1080/14756366.2022.2105322.

Abstract

The global outbreak of the COVID-19 pandemic provokes scientists to make a prompt development of new effective therapeutic interventions for the battle against SARS-CoV-2. A new series of N-(5-nitrothiazol-2-yl)-carboxamido derivatives were designed and synthesised based on the structural optimisation principle of the SARS-CoV Mpro co-crystallized WR1 inhibitor. Notably, compound 3b achieved the most promising anti-SARS-CoV-2 activity with an IC50 value of 174.7 µg/mL. On the other hand, compounds 3a, 3b, and 3c showed very promising SARS-CoV-2 Mpro inhibitory effects with IC50 values of 4.67, 5.12, and 11.90 µg/mL, respectively. Compound 3b docking score was very promising (-6.94 kcal/mol) and its binding mode was nearly similar to that of WR1. Besides, the molecular dynamics (MD) simulations of compound 3b showed its great stability inside the binding pocket until around 40 ns. Finally, a very promising SAR was concluded to help to design more powerful SARS-CoV-2 Mpro inhibitors shortly.

Keywords: N-(5-nitrothiazol-2-yl)-carboxamido derivatives; SAR; anti-SARS-CoV-2 Mpro; in silico; in vitro.

MeSH terms

  • COVID-19 Drug Treatment*
  • Coronavirus 3C Proteases
  • Cysteine Endopeptidases / metabolism
  • Humans
  • Ligands
  • Molecular Docking Simulation
  • Molecular Dynamics Simulation
  • Pandemics*
  • Protease Inhibitors / chemistry
  • Protease Inhibitors / pharmacology
  • SARS-CoV-2
  • Viral Nonstructural Proteins

Substances

  • Ligands
  • Protease Inhibitors
  • Viral Nonstructural Proteins
  • 3C-like proteinase, SARS-CoV-2
  • Cysteine Endopeptidases
  • Coronavirus 3C Proteases

Grants and funding

The authors would like to extend their sincere appreciation to Taif University Research Supporting project number (TURSP-2020/330). Mohamed Elagawany would like to thank the Science and Technology Development Fund (Egypt) for financial support (STDF-TDG Grant 43324).