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Updated: Oct 29, 2025

Pharmacophore Modeling for Targets with Extensive Ligand Libraries: A Case Study on SARS-CoV-2 Mpro
Published on: September 26, 2025
Drug repurposing against SARS-CoV-2 receptor binding domain using ensemble-based virtual screening and molecular
Vikash Kumar1, Haiguang Liu1, Chun Wu2
1Complex Systems Division, Beijing Computational Science Research Center, Haidian District, Beijing, 100193, China.
Molecular dynamics simulations reveal that modeling the flexibility of the SARS-CoV-2 receptor binding domain (RBD) enhances drug discovery for COVID-19. This approach identified promising repurposed drugs that could block viral entry.
Area of Science:
- Computational biology
- Drug discovery
- Virology
Background:
- The COVID-19 pandemic, caused by SARS-CoV-2, necessitates rapid identification of effective treatments.
- Drug repurposing offers a cost-effective strategy for discovering anti-COVID-19 agents.
- The SARS-CoV-2 spike protein's receptor binding domain (RBD) is a key target for blocking viral entry into host cells via ACE2.
Purpose of the Study:
- To investigate the conformational flexibility of the SARS-CoV-2 RBD using molecular dynamics (MD) simulations.
- To identify potential drug candidates for COVID-19 by screening FDA-approved drugs against dynamic RBD conformations.
- To evaluate the binding stability of identified drug candidates using MD simulations.
Main Methods:
- Long molecular dynamics (MD) simulations were performed to probe the conformational plasticity of the SARS-CoV-2 RBD.
- Clustering analysis was used to identify representative RBD conformations from the simulations.
- A library of 2466 FDA-approved drugs was screened against the ACE2-RBD interface using docking simulations on both crystal and simulated conformations.
Main Results:
- MD simulations revealed significant conformational flexibility in the SARS-CoV-2 RBD.
- Screening identified 18 potential drug candidates, with 16 derived from simulated conformations, outperforming the crystal structure.
- Further MD simulations confirmed stable binding for 6 drugs, with 3 (gonadorelin, fondaparinux, atorvastatin) showing significantly enhanced binding stability.
Conclusions:
- Flexibility modeling of the SARS-CoV-2 RBD using MD simulations is crucial for effective drug repurposing.
- This approach successfully identified novel drug candidates that could inhibit SARS-CoV-2 infection by blocking ACE2-RBD interaction.
- The identified drugs, particularly gonadorelin, fondaparinux, and atorvastatin, warrant further investigation as potential COVID-19 therapeutics.
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