利用分子筛选和模拟方法,探索中药数据库化学空间,靶向猴痘病毒I7L蛋白酶。

IF 2.3 3区 环境科学与生态学 Q3 CHEMISTRY, MULTIDISCIPLINARY
A Khan, M Shahab, F Nasir, Y Waheed, A Alshammari, A Mohammad, G Zichen, R Li, D Q Wei
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引用次数: 0

摘要

在当前的研究中,我们使用分子筛选和模拟方法靶向来自中药数据库的猴痘病毒(猴痘)的I7L蛋白酶。使用分子筛选,只有四个命中物TCM27763、TCM33057、TCM34450和TCM31564显示出比TTP6171(对照)更好的药理学潜力。这些分子的结合靶向Trp168、Asn171、Arg196、Cys237、Ser240、Trp242、Glu325、Ser326和Cys328残基,并可能在体外测定中影响I7L蛋白酶的功能。此外,分子模拟揭示了所有配合物的稳定动力学、更紧密的结构堆积和更少的柔性行为。我们进一步报道了TCM27763、TCM33057、TCM34450和TCM31564I7L复合物中的平均氢键仍然高于对照药物。最后,BF能量结果显示,对照I7L络合物的BF能量为-62.60±0.65,TCM27763I7L络合的BF能量是-71.92±0.70 kcal/mol,TCM33057I7L络合体的BF能量则为-70.94±0.70 cal/mol,TCM34450I7L的BF能量便为-69.94±0.85 kcal/mol,我们使用了最先进的计算方法,这些都是需要进一步实验验证的理论见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Traditional Chinese Medicine (TCM) database chemical space to target I7L protease from monkeypox virus using molecular screening and simulation approaches.

In the current study, we used molecular screening and simulation approaches to target I7L protease from monkeypox virus (mpox) from the Traditional Chinese Medicines (TCM) database. Using molecular screening, only four hits TCM27763, TCM33057, TCM34450 and TCM31564 demonstrated better pharmacological potential than TTP6171 (control). Binding of these molecules targeted Trp168, Asn171, Arg196, Cys237, Ser240, Trp242, Glu325, Ser326, and Cys328 residues and may affect the function of I7L protease in in vitro assay. Moreover, molecular simulation revealed stable dynamics, tighter structural packing and less flexible behaviour for all the complexes. We further reported that the average hydrogen bonds in TCM27763, TCM33057, TCM34450 and TCM31564I7L complexes remained higher than the control drug. Finally, the BF energy results revealed -62.60 ± 0.65 for the controlI7L complex, for the TCM27763I7L complex -71.92 ± 0.70 kcal/mol, for the TCM33057I7L complex the BF energy was -70.94 ± 0.70 kcal/mol, for the TCM34450I7L the BF energy was -69.94 ± 0.85 kcal/mol while for the TCM31564I7L complex the BF energy was calculated to be -69.16 ± 0.80 kcal/mol. Although, we used stateoftheart computational methods, these are theoretical insights that need further experimental validation.

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来源期刊
CiteScore
5.20
自引率
20.00%
发文量
78
审稿时长
>24 weeks
期刊介绍: SAR and QSAR in Environmental Research is an international journal welcoming papers on the fundamental and practical aspects of the structure-activity and structure-property relationships in the fields of environmental science, agrochemistry, toxicology, pharmacology and applied chemistry. A unique aspect of the journal is the focus on emerging techniques for the building of SAR and QSAR models in these widely varying fields. The scope of the journal includes, but is not limited to, the topics of topological and physicochemical descriptors, mathematical, statistical and graphical methods for data analysis, computer methods and programs, original applications and comparative studies. In addition to primary scientific papers, the journal contains reviews of books and software and news of conferences. Special issues on topics of current and widespread interest to the SAR and QSAR community will be published from time to time.
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