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.

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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
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article

Targeting SARS-CoV-2 main protease for the discovery of a broad-spectrum COVID-19 inhibitor by intensive multi-tiered validation

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3 citations
Acta Pharmaceutica Sinica B
Computational Drug Discovery Methods
4.51
article

Targeting SARS-CoV-2 main protease for the discovery of a broad-spectrum COVID-19 inhibitor by intensive multi-tiered validation

Yipeng Cao, Zihe Rao, Yao Zhao, Junhua Zhang, Min Zhang, Qi Yang, Lu Feng, Yuefei Wang, Boli Zhang, Changjian Wang
article en
3 citations

Abstract

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.

Acta Pharmaceutica Sinica BVol. 15(11)
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)
Openalex Percentile: Top 5%
Computational Drug Discovery Methods
4.51
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