Screening of Potent Phytochemical Inhibitors Against SARS-CoV-2 Main Protease: An Integrative Computational Approach

Shafi Mahmud1, Md Robiul Hasan2, Suvro Biswas2

  • 1Department of Genetic Engineering and Biotechnology, Microbiology Laboratory, University of Rajshahi, Rajshahi, Bangladesh.

Insights

This study identifies three natural compounds—medicagol, faradiol, and flavanthrin—that effectively inhibit the SARS-CoV-2 main protease, a key target for COVID-19 drug development. Computational analysis confirms their stability and lack of toxicity, paving the way for new antiviral therapies.

Area of Science:

  • Computational drug discovery
  • Virology
  • Medicinal chemistry

Background:

  • Coronavirus disease 2019 (COVID-19) poses a significant global health and economic threat.
  • The SARS-CoV-2 main protease (Mpro) is crucial for viral replication and a promising therapeutic target.
  • Developing effective antiviral drugs is essential to combat the pandemic.

Purpose of the Study:

  • To identify phytochemicals capable of inhibiting the SARS-CoV-2 main protease (Mpro).
  • To evaluate the binding affinity and stability of potential drug candidates using computational methods.
  • To assess the safety profile of identified compounds through ADMET analysis.

Main Methods:

  • Construction of a phytochemical dataset from literature review.
  • Molecular docking simulations to predict binding interactions with Mpro.
  • Molecular dynamics simulations to assess complex stability.
  • Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) analysis.

Main Results:

  • Medicagol, faradiol, and flavanthrin showed high binding affinity to the Mpro active site (-8.3 to -8.8 kcal/mol).
  • Molecular dynamics simulations confirmed the stable interaction of these compounds with Mpro.
  • ADMET analysis indicated no significant toxicity or carcinogenicity for the top compounds.

Conclusions:

  • Medicagol, faradiol, and flavanthrin are promising candidates for developing novel SARS-CoV-2 Mpro inhibitors.
  • Computational approaches are valuable for accelerating the discovery of antiviral agents.
  • These findings support the development of new drugs targeting Mpro to combat COVID-19.