Design, Synthesis, Evaluation, and Molecular Dynamics Simulation of SARS-CoV-2 M<sup>pro</sup> Inhibitors
COVID-19, caused by SARS-CoV-2, is a highly contagious disease with significant transmissibility and pathogenicity. The main protease of SARS-CoV-2 (M<sup>pro</sup> or 3CL<sup>pro</sup>) is crucial for viral replication, making it a key therapeutic target. Nirmatrelvir, a promising M<sup>pro</sup> inhibitor, contains a trifluoroacetyl group in its P4 fragment, which presents opportunities for further optimization. This study aims to enhance the inhibitory activity of nirmatrelvir through structural modification of the P4 fragment. Using a computer-aided drug design (CADD) approach, 11 novel compounds were identified based on molecular docking scores, binding free energy, predicted ADMET properties, structural diversity, synthetic feasibility, and inhibitory activity. IC<sub>50</sub> measurements and molecular dynamics (MD) simulations demonstrated significant inhibitory potential for most compounds, with IC<sub>50</sub> values ranging from 0.0435-0.9989 μM. Notably, compounds 2-5a and 2-5f exhibited inhibitory activity against SARS-CoV-2 M<sup>pro</sup> comparable to that of nirmatrelvir. These findings offer valuable insights for the development of anti-SARS-CoV-2 therapeutics.
Authors
- Fenghua Zhang (ORCID: https://orcid.org/0000-0001-6136-9707)
- Keli Zong
- Xingzhou Li
- Fei Li (ORCID: https://orcid.org/0000-0002-3686-7576)
- Xu Zhao (ORCID: https://orcid.org/0000-0002-2477-8023)
- Qinghua Yang (ORCID: https://orcid.org/0000-0002-4146-2880)
Institutions
- Liaoning Shihua University (CN)
- Chinese PLA General Hospital (CN)
- Beijing University of Technology (CN)
Publication Details
- Journal
- ACS Medicinal Chemistry Letters
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1021/acsmedchemlett.5c00065
- Citations
- 2
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 3.01