Molecular dynamic simulations to explore the broad-spectrum activity of the inhibitor PF-07321332 against human coronavirus

The main protease (M<sup>pro</sup>) stands as a pivotal enzyme crucial for coronavirus replication, thus serving as a prime target for coronavirus drug discovery endeavors. Nirmatrelvir (PF-07321332), an antiviral compound developed by Pfizer, has been engineered to selectively inhibit the M<sup>pro</sup> of SARS-CoV-2 by directly binding to its catalytic cysteine residue (Cys145). In a bid to scrutinize the expansive inhibitory spectrum of PF-07321332 against a gamut of human pathogenic coronaviruses, we undertook an exhaustive investigation leveraging molecular dynamics (MD) simulations in conjunction with binding free energy (BFE) calculations. Molecular dockings of PF-07321332 with the M<sup>pro</sup>s of seven human coronaviruses yielded their optimal binding modes (complexes), subsequently subjected to rigorous MD simulations and BFE assessments. The results of MD simulations indicated that PF-07321332 can remain stable in the substrate-binding cavity of all the seven human coronaviruses M<sup>pro</sup>s. A detailed comparison of BFE components revealed that intermolecular van der Waals (vdW) interactions play a significantly more crucial role in maintaining association and determining the high binding affinity than intermolecular electrostatic interactions. Analyses of residue BFE decomposition reveals Cys145 as a pivotalt amino acid, positively influencing the stable binding between M<sup>pro</sup>s and inhibitor. These finding imply that PF-07321332 has the potential to be an effective anti-coronavirus inhibitor and also provide insights into inhibitor optimization and drug design strategies against human coronavirus.

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Publication Details

Journal
Journal of Biomolecular Structure and Dynamics
Published
2024-12-01
DOI
https://doi.org/10.1080/07391102.2024.2431661
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Molecular dynamic simulations to explore the broad-spectrum activity of the inhibitor PF-07321332 against human coronavirus

Meng-Ting Liu, Peng Sang, Yi Li, Liquan Yang et al.
Journal of Biomolecular Structure and Dynamics
Computational Drug Discovery Methods
article

Molecular dynamic simulations to explore the broad-spectrum activity of the inhibitor PF-07321332 against human coronavirus

Meng-Ting Liu, Peng Sang, Yi Li, Liquan Yang, Yuting Wang
article en

Abstract

The main protease (M<sup>pro</sup>) stands as a pivotal enzyme crucial for coronavirus replication, thus serving as a prime target for coronavirus drug discovery endeavors. Nirmatrelvir (PF-07321332), an antiviral compound developed by Pfizer, has been engineered to selectively inhibit the M<sup>pro</sup> of SARS-CoV-2 by directly binding to its catalytic cysteine residue (Cys145). In a bid to scrutinize the expansive inhibitory spectrum of PF-07321332 against a gamut of human pathogenic coronaviruses, we undertook an exhaustive investigation leveraging molecular dynamics (MD) simulations in conjunction with binding free energy (BFE) calculations. Molecular dockings of PF-07321332 with the M<sup>pro</sup>s of seven human coronaviruses yielded their optimal binding modes (complexes), subsequently subjected to rigorous MD simulations and BFE assessments. The results of MD simulations indicated that PF-07321332 can remain stable in the substrate-binding cavity of all the seven human coronaviruses M<sup>pro</sup>s. A detailed comparison of BFE components revealed that intermolecular van der Waals (vdW) interactions play a significantly more crucial role in maintaining association and determining the high binding affinity than intermolecular electrostatic interactions. Analyses of residue BFE decomposition reveals Cys145 as a pivotalt amino acid, positively influencing the stable binding between M<sup>pro</sup>s and inhibitor. These finding imply that PF-07321332 has the potential to be an effective anti-coronavirus inhibitor and also provide insights into inhibitor optimization and drug design strategies against human coronavirus.

Journal of Biomolecular Structure and DynamicsVol. 44(5)
Innovation Team (China) (HK), Dali University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 74%
Computational Drug Discovery Methods
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