Beyond ST‐246: Unveiling Potential Inhibitors Targeting VP37 Protein in Silico From Herb and Marine Databases

In pursuit of unraveling novel structural inhibitors for treating monkeypox virus, targeting the VP37 protein, which is bioactive in response to ST-246, to discern pharmaceutical molecules specifically tailored to combat monkeypox virus. We employed a semi-flexible molecular docking, molecular dynamic simulation, and ADME screening methodology, which are based on structure, to screen compounds from CMNPD and TCM in silico. These methodologies allowed us to find potential candidates depending on their binding values and interactions with the binding site of main protease. To further evaluate the stability of these interactions, we conducted molecular dynamics simulations and calculated binding energies. Herein, employing methods such as binding energy calculations, comparative analyses, and molecular dynamics simulations for activity computations, the six top hits of the compounds were validated as five kinds of good inhibitors, surpassing its reference compound ST-246, for better in vitro drug candidates against MPXV.

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Publication Details

Journal
Journal of Computational Chemistry
Published
2025-04-24
DOI
https://doi.org/10.1002/jcc.70111
Primary Topic
Poxvirus research and outbreaks
Type
article
Field-Weighted Citation Impact
0.00

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article

Beyond ST‐246: Unveiling Potential Inhibitors Targeting VP37 Protein in Silico From Herb and Marine Databases

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Journal of Computational Chemistry
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Beyond ST‐246: Unveiling Potential Inhibitors Targeting VP37 Protein in Silico From Herb and Marine Databases

Q. Zou, Hongjie Wu, Shulin Zhao, Yijie Ding, Xin Zhang, Xiaoyi Guo, Runhua Zhang
article en

Abstract

In pursuit of unraveling novel structural inhibitors for treating monkeypox virus, targeting the VP37 protein, which is bioactive in response to ST-246, to discern pharmaceutical molecules specifically tailored to combat monkeypox virus. We employed a semi-flexible molecular docking, molecular dynamic simulation, and ADME screening methodology, which are based on structure, to screen compounds from CMNPD and TCM in silico. These methodologies allowed us to find potential candidates depending on their binding values and interactions with the binding site of main protease. To further evaluate the stability of these interactions, we conducted molecular dynamics simulations and calculated binding energies. Herein, employing methods such as binding energy calculations, comparative analyses, and molecular dynamics simulations for activity computations, the six top hits of the compounds were validated as five kinds of good inhibitors, surpassing its reference compound ST-246, for better in vitro drug candidates against MPXV.

Journal of Computational ChemistryVol. 46(11)
University of Electronic Science and Technology of China (CN), Wenzhou Medical University (CN), Suzhou University of Science and Technology (CN), Quzhou University (CN)
National Natural Science Foundation of China, Government of Jiangsu Province, Soochow University, Natural Science Foundation of Zhejiang Province
Life below water
Openalex Percentile: Top 91%
Poxvirus research and outbreaks
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