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Prediction of binding potential of natural leads against the prioritized drug targets of chikungunya and dengue viruses by computational screening

机译:通过计算筛选预测天然铅与基孔肯雅热和登革热病毒的优先药物靶标的结合潜力

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摘要

The current study aimed to assess the binding potential of herbal lead molecules against the prioritized molecular targets of chikungunya virus (CHIKV) and dengue virus (DENV) by computational virtual screening and suggests a novel therapeutic intervention. Based on the metabolic pathway analysis and virulent functions, the non-structural and envelop proteins present in CHIKV and DENV were identified as putative drug targets. The structures of the protein not available in their native forms were computationally predicted by homology modeling. The lead compounds from 43 herbal sources were screened and their drug likeliness and pharmacokinetics properties were computationally predicted. The binding potential of selected phytoligands against the prioritized drug targets were analyzed by molecular docking studies. This study revealed that Kaempferol (3,5,7-trihydroxy-2-(4-hydroxyphenyl)chromen-4-one) and Chymopain (disodium;4,5-dihydroxybenzene-1,3-disulfonate), natural flavonols present in Carica papaya and Gossypetin (3, 5, 7, 8, 3′, 4′-hexahydroxyflavone), a natural flavonoid available in Hibiscus sabdariffa were demonstrated promising good binding potential with minimum binding energy (kcal/mol) and maximum stabilizing interactions to the putative drug targets of CHIKV and DENV. The selected lead molecules demonstrated ideal drug likeliness, ADMET (adsorption, distribution, excretion, metabolism and toxicity) features required for the drug development. The molecular docking studies suggested that the presence of these compounds probably responsible for the antiviral properties of Carica papaya, which was traditionally known as therapeutic remedy for dengue viral infections. This study provides profound insight for the experimental validation of the applied approach and industrial scale-up of the suggested herbal lead molecules as promising lead candidates against CHIKV and DENV infections.Electronic supplementary materialThe online version of this article (10.1007/s13205-018-1303-2) contains supplementary material, which is available to authorized users.
机译:当前的研究旨在通过计算虚拟筛选评估草药铅分子与基孔肯雅病毒(CHIKV)和登革热病毒(DENV)的优先分子靶标的结合潜力,并提出了一种新颖的治疗干预措施。基于代谢途径分析和强毒功能,CHIKV和DENV中存在的非结构蛋白和包膜蛋白被鉴定为推定的药物靶标。不能以其天然形式获得的蛋白质结构是通过同源性建模计算预测的。筛选了43种草药来源的先导化合物,并通过计算预测了它们的药物相似性和药代动力学特性。通过分子对接研究分析了所选植物配体对优先药物靶标的结合潜力。这项研究表明山Car酚(3,5,7-三羟基-2-(4-羟基苯基)铬-4-)和胆碱(二钠; 4,5-二羟基苯-1,3-二磺酸盐)是存在于Carica中的天然黄酮醇。木瓜和棉酚(3、5、7、8、3',4'-六羟基黄酮)是芙蓉中的天然类黄酮,具有良好的结合潜力,具有最小的结合能(kcal / mol)和对推定的最大稳定相互作用CHIKV和DENV的药物靶向。所选的先导分子表现出药物开发所需的理想药物相似性,ADMET(吸附,分布,排泄,代谢和毒性)功能。分子对接研究表明,这些化合物的存在可能是番木瓜的抗病毒特性的原因,番木瓜在传统上被称为登革热病毒感染的治疗药物。这项研究为应用方法的实验验证和建议的草药铅分子的工业规模推广提供了深刻的见识,这些草药铅分子是针对CHIKV和DENV感染的有希望的候选铅。电子补充材料本文的在线版本(10.1007 / s13205-018-1303) -2)包含补充材料,授权用户可以使用。

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