Computational and Experimental Study of the Conformational Variation of the Catalytic Residue His41 of the SARS-CoV-2 Main Protease

The main protease (M<sup>pro</sup>) is essential for the replication of SARS-CoV-2, making it one of the major therapeutic targets for COVID-19 treatment. Here, we explored the conformational dynamics and energetics of the catalytic residue His41 in M<sup>pro</sup>, as revealed by a rare conformational shift observed in the cocrystal structures of M<sup>pro</sup> bound by certain inhibitors. Using steered molecular dynamics combined with umbrella sampling, we demonstrated that π-cation interactions between these inhibitors and the ionized catalytic dyad significantly reduced the energy barrier for the conformational flip of the His41 side chain. To further investigate the structure-activity relationship linked to this conformational change, we designed and synthesized a series of covalent inhibitors that control His41 flipping. Among these, compound H102-7 exhibited remarkable inhibitory activity with an IC<sub>50</sub> of 5 nM. Drug resistance studies revealed that these inhibitors displayed improved resistance profiles compared to the clinically approved M<sup>pro</sup> covalent inhibitor, Nirmatrelvir. This study integrates computational simulations, medicinal chemistry, and molecular biology to uncover an interesting allosteric effect of a key catalytic residue of SARS-CoV-2 M<sup>pro</sup> and yields new promising molecules for the further development of M<sup>pro</sup>-targeted therapeutic intervention.

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Publication Details

Journal
The Journal of Physical Chemistry B
Published
2025-05-19
DOI
https://doi.org/10.1021/acs.jpcb.5c01718
Citations
2
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
3.01

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article

Computational and Experimental Study of the Conformational Variation of the Catalytic Residue His41 of the SARS-CoV-2 Main Protease

Xiaohong Sang, Arjun Saha, Arieh Warshel, Xiang Liu et al.
2 citations
The Journal of Physical Chemistry B
Computational Drug Discovery Methods
3.01
article

Computational and Experimental Study of the Conformational Variation of the Catalytic Residue His41 of the SARS-CoV-2 Main Protease

Xiaohong Sang, Arjun Saha, Arieh Warshel, Xiang Liu, Juan Wang, Yan Xu, Md. Nazmul Hasan, Ziwei Huang, Jing An, Jiao Zhou, Tingli Qian
article en
2 citations

Abstract

The main protease (M<sup>pro</sup>) is essential for the replication of SARS-CoV-2, making it one of the major therapeutic targets for COVID-19 treatment. Here, we explored the conformational dynamics and energetics of the catalytic residue His41 in M<sup>pro</sup>, as revealed by a rare conformational shift observed in the cocrystal structures of M<sup>pro</sup> bound by certain inhibitors. Using steered molecular dynamics combined with umbrella sampling, we demonstrated that π-cation interactions between these inhibitors and the ionized catalytic dyad significantly reduced the energy barrier for the conformational flip of the His41 side chain. To further investigate the structure-activity relationship linked to this conformational change, we designed and synthesized a series of covalent inhibitors that control His41 flipping. Among these, compound H102-7 exhibited remarkable inhibitory activity with an IC<sub>50</sub> of 5 nM. Drug resistance studies revealed that these inhibitors displayed improved resistance profiles compared to the clinically approved M<sup>pro</sup> covalent inhibitor, Nirmatrelvir. This study integrates computational simulations, medicinal chemistry, and molecular biology to uncover an interesting allosteric effect of a key catalytic residue of SARS-CoV-2 M<sup>pro</sup> and yields new promising molecules for the further development of M<sup>pro</sup>-targeted therapeutic intervention.

The Journal of Physical Chemistry BVol. 129(21)
University of Southern California (US), University of Science and Technology of China (CN), Chinese University of Hong Kong (HK), Guangdong Pharmaceutical University (CN), California Southern University (US), Institute of Precision Mechanics (PL), University of California San Diego (US), University of Wisconsin–Milwaukee (US), Tsinghua University (CN)
China Postdoctoral Science Foundation, Shenzhen Science and Technology Innovation Program
Openalex Percentile: Top 9%
Computational Drug Discovery Methods
3.01
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