Virtual Screening and Molecular Simulation Uncover Potent Traditional Chinese Medicine Small Molecules Against SARS‐CoV‐2 M <sup>pro</sup>
Abstract The binding pocket of the main protease (M pro ) is highly conserved and recognized as a promising target for designing anti‐COVID‐19 inhibitors. Given the significant role of traditional Chinese medicine in combating SARS‐CoV‐2, over 20,000 small molecules derived from traditional Chinese medicine were virtually screened against M pro , resulting in the identification of TCM11135 ( Hc1 ), TCM20595 ( Hc2 ), TCM22179 ( Hc3 ), and TCM22701 ( Hc4 ) in the present study. Subsequent binding free energy calculations based on molecular dynamics simulations indicated that Hc1 and Hc4 exhibit favorable binding affinities for M pro . By employing binding free energy decomposition and hydrogen bond analysis, this study uncovered the key residues in M pro that contribute significantly to the binding energy or form hydrogen bonds with Hc1 and Hc4 , thereby providing valuable insights for the optimization of these compounds. Additionally, the predicted ADME/T properties of Hc1 and Hc4 were found to be satisfactory, exhibiting favorable pharmacokinetic characteristics and no apparent toxicity. Therefore, Hc1 and Hc4 should be novel potent M pro inhibitor lead compounds.
Authors
- Taigang Liu (ORCID: https://orcid.org/0000-0002-8449-9667)
- Di Han (ORCID: https://orcid.org/0000-0001-9531-0375)
- Yongtao Xu (ORCID: https://orcid.org/0000-0002-4444-7790)
- Meiting Wang (ORCID: https://orcid.org/0000-0002-0860-9916)
- Fengxiang Liu (ORCID: https://orcid.org/0000-0003-3017-5285)
- Jiarui Lu (ORCID: https://orcid.org/0000-0002-9771-0804)
- Yiwei Xue
- Yunlong Gao
- Hongkun Yang
Institutions
- Henan Institute of Technology (CN)
- Xinxiang University (CN)
- Henan Medical University (CN)
Publication Details
- Journal
- ChemistrySelect
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1002/slct.202405037
- Citations
- 2
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 3.01
Funders
- National Natural Science Foundation of China
- Henan Provincial Science and Technology Research Project
- Science and Technology Innovation Talents in Universities of Henan Province