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

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2025-04-24 DOI:10.1002/jcc.70111
Runhua Zhang, Xin Zhang, Shulin Zhao, Quan Zou, Yijie Ding, Xiaoyi Guo, Hongjie Wu
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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.

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Beyond ST-246:揭示针对VP37蛋白的潜在抑制剂,来自草本和海洋数据库
为了寻找治疗猴痘病毒的新型结构抑制剂,以对ST-246有生物活性的VP37蛋白为靶点,寻找专门针对猴痘病毒的药物分子。我们采用基于结构的半柔性分子对接、分子动力学模拟和ADME筛选方法,在硅上筛选CMNPD和TCM中的化合物。这些方法使我们能够根据它们的结合值和与主要蛋白酶结合位点的相互作用来找到潜在的候选者。为了进一步评估这些相互作用的稳定性,我们进行了分子动力学模拟并计算了结合能。本文采用结合能计算、对比分析、分子动力学模拟等方法进行活度计算,验证了6个最热门化合物为5种良好的抑制剂,超过其参比化合物ST-246,成为更好的体外抗MPXV候选药物。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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