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In silico analysis of natural compounds targeting structural and nonstructural proteins of chikungunya virus

机译:在Chikungunya病毒的结构和非结构蛋白靶向天然化合物的硅分析中

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摘要

Background: Chikungunya fever presents as a high-grade fever during its acute febrile phase and can be prolonged for months as chronic arthritis in affected individuals. Currently, there are no effective drugs or vaccines against this virus. The present study was undertaken to evaluate protein-ligand interactions of all chikungunya virus (CHIKV) proteins with natural compounds from a MolBase library in order to identify potential inhibitors of CHIKV. Methods: Virtual screening of the natural compound library against four non-structural and five structural proteins of CHIKV was performed. Homology models of the viral proteins with unknown structures were created and energy minimized by molecular dynamic simulations. Molecular docking was performed to identify the potential inhibitors for CHIKV. The absorption, distribution, metabolism and excretion (ADME) toxicity parameters for the potential inhibitors were predicted for further prioritization of the compounds. Results: Our analysis predicted three compounds, Catechin-5-O-gallate, Rosmarinic acid and Arjungenin, to interact with CHIKV proteins; two (Catechin-5-O-gallate and Rosmarinic acid) with capsid protein, and one (Arjungenin) with the E3. Conclusion: The compounds identified show promise as potential antivirals, but further in vitro studies are required to test their efficacy against CHIKV.
机译:背景:Chikungunya发烧在其急性发热期间呈现出高档发烧,并且可以延长有关个体慢性关节炎的数月。目前,对这种病毒没有有效的药物或疫苗。本研究旨在评估所有Chikungunya病毒(Chikv)蛋白质与来自摩尔巴文库的天然化合物的蛋白质 - 配体相互作用,以鉴定Chikv的潜在抑制剂。方法:进行针对四种非结构和五种Chikv结构蛋白的天然复合文库的虚拟筛选。创造了具有未知结构的病毒蛋白的同源蛋白质的同源蛋白和通过分子动态模拟最小化的能量。进行分子对接以鉴定Chikv的潜在抑制剂。预计潜在抑制剂的吸收,分布,代谢和排泄(ADME)毒性参数以进一步优先化化合物。结果:我们的分析预测了三种化合物,儿茶素-5-gallate,rosmarinic acid和arjungenin,与Chikv蛋白相互作用;两种(儿茶素-5-hallate和rosmarinic acid)用衣壳蛋白,与E3的一个(Arjungenin)。结论:将化合物鉴定为潜在的抗病毒,但需要进一步的体外研究来测试它们对Chikv的功效。

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