Related Experiment Video
Updated: Jul 6, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
Deciphering the potential of flavonols as SARS-CoV-2 MPro inhibitors: an in silico investigation using pass
Athira E1, Jibin K Varughese2, Shinta Davis1
1Department of Nanoscience and Technology, University of Calicut, Malappuram, India.
Abstract:
In the fight against contagious diseases, COrona VIrus disease 2019 (COVID -19) has been a formidable oponent. The SARS-CoV-2 virus, the etiological agent of COVID-19 continues to pose global health risks due to the ongoing mutations and post-COVID complications. Inhibiting the binding site of the SARS-CoV-2 Main Protease (MPro), with suitable inhibitors represents a promising therapeutic strategy to contain the pandemic. Flavonols, a class of flavonoid phytochemicals, exhibit a wide spectrum of biological activities. In this study, we assessed the inhibitory potential of 15 flavonols, using a multifaceted computational approach that included PASS prediction, molecular docking, Molecular Dynamics (MD) simulations and ADMET analysis. Our results identified Kaempferol as a potent MPro inhibitor, characterised by minimal RMSD, minimal RMSF and optimal Rg values. Furthermore, Kaempferol exhibited a superior safety profile and good oral bioavailability, outperforming the FDA-approved antiviral-Molnupiravir.
Supplementary Information:
The online version contains supplementary material available at 10.1007/s40203-026-00574-y.
More Related Videos
10:29Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
05:50Pharmacophore Modeling for Targets with Extensive Ligand Libraries: A Case Study on SARS-CoV-2 Mpro
Published on: September 26, 2025