Targeting SARS-CoV-2 main protease for the discovery of a broad-spectrum COVID-19 inhibitor by intensive multi-tiered validation
SARS-CoV-2 and its emerging variants continue to pose a significant global public health threat. The SARS-CoV-2 main protease (M<sup>pro</sup>) is a critical target for the development of antiviral agents that can inhibit viral replication and transcription. In this study, we identified chebulagic acid (CHLA), isolated from <i>Terminalia chebula</i> Retz., as a potent non-peptidomimetic and non-covalent M<sup>pro</sup> inhibitor. CHLA exhibited intermolecular interactions and provided significant protection to Vero E6 cells against a range of SARS-CoV-2 variants, including the wild-type, Delta, Omicron BA.1.1, BA.2.3, BA.4, and BA.5, with EC<sub>50</sub> values below 2 μmol/L. Moreover, <i>in vivo</i> studies confirmed the antiviral efficacy of CHLA in K18-hACE2 mice. Notably, CHLA bound to a unique groove at the interface between M<sup>pro</sup> domains I and II, which was revealed by the high-resolution crystal structure (1.4 Å) of the M<sup>pro</sup>-CHLA complex, shrinking the substrate binding pocket of M<sup>pro</sup> and inducing M<sup>pro</sup> aggregation. CHLA was proposed to act as an allosteric inhibitor. Pharmacokinetic profiling and safety assessments underscore CHLA's potential as a promising broad-spectrum antiviral candidate. These findings report a novel binding site on M<sup>pro</sup> and identify antiviral activity of CHLA, providing a robust framework for lead compounds discovery and elucidating the underlying molecular mechanisms of inhibition.
Authors
- Yipeng Cao
- Zihe Rao (ORCID: https://orcid.org/0000-0001-9866-2384)
- Yao Zhao (ORCID: https://orcid.org/0000-0002-2932-2164)
- Junhua Zhang (ORCID: https://orcid.org/0000-0003-4043-1967)
- Min Zhang (ORCID: https://orcid.org/0000-0001-9485-6069)
- Qi Yang (ORCID: https://orcid.org/0000-0002-2067-3195)
- Lu Feng
- Yuefei Wang (ORCID: https://orcid.org/0000-0003-0956-6046)
- Boli Zhang
- Changjian Wang (ORCID: https://orcid.org/0009-0007-2313-4182)
Institutions
- Tianjin University of Traditional Chinese Medicine (CN)
- Nankai University (CN)
- Tianjin Medical University Cancer Institute and Hospital (CN)
- ShanghaiTech University (CN)
- Guangzhou Experimental Station (CN)
- Tianjin haihe hospital (CN)
- Shenzhen Third People’s Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Acta Pharmaceutica Sinica B
- Published
- 2025-09-23
- DOI
- https://doi.org/10.1016/j.apsb.2025.09.033
- Citations
- 3
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 4.51