自上而下研究新型植物化合物蒺藜酰胺 B通过靶向融合糖蛋白和基质蛋白抑制尼帕病毒传播的作用。

IF 2.6 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2024-06-21 DOI:10.1016/j.compbiolchem.2024.108135
Deblina Rababi, Anish Nag
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引用次数: 0

摘要

尼帕病毒的蛋白质与病毒的生命周期有关,对病毒引起的感染至关重要。在没有获批治疗药物的情况下,这些蛋白质可被视为药物靶点。本研究对 53 种天然化合物抑制尼帕病毒融合糖蛋白(NiV F)和基质蛋白(NiV M)的潜力进行了硅学研究。主成分分析(PCA)支持的分子对接实验表明,与对照药物利巴韦林(分别为-7.01和-6.52 kcal mol-1)相比,在所有考虑的植物化学物质中,刺蒺藜酰胺B对目标蛋白NiV F和NiV M的抑制潜力最高(分别为-9.21和-8.66 kcal mol-1)。此外,研究还发现,刺蒺藜酰胺 B 的药效团,即氢供体、受体、芳香基团和疏水基团,有助于与目标蛋白质进行有效的剩余相互作用。分子动力学模拟进一步验证了对接研究的结果,认为刺蒺藜酰胺 B 与目标蛋白质形成了稳定的复合物。MM-PBSA 研究获得的数据进一步说明,与对照药物利巴韦林(分别为 -13.12 和 -13.94 kJ mol-1)相比,刺蒺藜酰胺 B 能与 NiV F 蛋白(-31.26 kJ mol-1)和 NiV M 蛋白(-40.26 kJ mol-1)强结合。最后,研究结果表明,刺蒺藜酰胺 B 是一种常见的抑制剂,能有效抑制多种蛋白质,可被视为治疗尼帕病毒感染的一种潜在疗法。
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A top-down approach for studying the in-silico effect of the novel phytocompound tribulusamide B on the inhibition of Nipah virus transmission through targeting fusion glycoprotein and matrix protein

The proteins of Nipah virus ascribe to its lifecycle and are crucial to infections caused by the virus. In the absence of approved therapeutics, these proteins can be considered as drug targets. This study examined the potential of fifty-three (53) natural compounds to inhibit Nipah virus fusion glycoprotein (NiV F) and matrix protein (NiV M) in silico. The molecular docking experiment, supported by the principal component analysis (PCA), showed that out of all the phytochemicals considered, Tribulusamide B had the highest inhibitory potential against the target proteins NiV F and NiV M (-9.21 and −8.66 kcal mol−1, respectively), when compared to the control drug, Ribavirin (-7.01 and −6.52 kcal mol−1, respectively). Furthermore, it was found that Tribulusamide B pharmacophores, namely, hydrogen donors, acceptors, aromatic and hydrophobic groups, contributed towards the effective residual interactions with the target proteins. The molecular dynamic simulation further validated the results of the docking studies and concluded that Tribulusamide B formed a stable complex with the target proteins. The data obtained from MM-PBSA study further explained that the phytochemical could strongly bind with NiV F (-31.26 kJ mol−1) and NiV M (-40.26 kJ mol−1) proteins in comparison with the control drug Ribavirin (-13.12 and −13.94 kJ mol−1, respectively). Finally, the results indicated that Tribulusamide B, a common inhibitor effective against multiple proteins, can be considered a potential therapeutic entity in treating the Nipah virus infection.

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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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