Exploring the Mangrove Based Phytochemicals as Potential Viral RNA Helicase Inhibitors by in silico Docking and Molecular Dynamics Simulation Methods

Q3 Mathematics
R. Satpathy, S. Acharya
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Abstract

A variety of plant-derived molecular compounds from mangrove plants have attracted attention due to the discovery of their antiviral activity. It has been proven that herbal medicines based on them provide good protection against a number of pathogenic viruses. However, it is necessary to screen these effective antiviral compounds to select those that have fewer harmful side effects. This study aimed to screen several bioactive compounds from mangrove plants that could be used as a viral RNA helicase inhibitor. Fifty-nine compounds were selected from the literature and databases for initial study and screening according to Lipinski's rule of five. The resulting selected compounds were subjected to another round of screening through molecular docking studies with five different pathogenic virus RNA helicase enzymes using the Autodock Vina tool followed by ADMET (absorption, distribution, metabolism, excretion and toxicity) analysis. In addition, the best compound-bound helicase-RNA complexes were included in 50 ns molecular dynamics simulations using Gromacs 5.1.1 software followed by molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) analysis. This comparative study predicts that the phytochemical gedunin is an excellent inhibitor of the RNA helicase enzyme of SARS-CoV-2, followed by Japanese encephalitis virus and hepatitis C virus. The results of the study may lead to the development of antiviral compounds against the RNA helicase enzymes of pathogenic viruses.
通过默观对接和分子动力学模拟方法探索红树林植物化学物质作为潜在病毒 RNA 螺旋酶抑制剂的可能性
从红树植物中提取的多种植物分子化合物因其抗病毒活性而备受关注。事实证明,以它们为基础的草药可以很好地抵御多种致病病毒。然而,有必要对这些有效的抗病毒化合物进行筛选,以选出那些有害副作用较小的化合物。本研究旨在从红树植物中筛选出几种可用作病毒 RNA 螺旋酶抑制剂的生物活性化合物。根据利平斯基的 "五选一 "规则,研究人员从文献和数据库中筛选出 59 种化合物进行初步研究和筛选。通过使用 Autodock Vina 工具与五种不同的致病病毒 RNA 螺旋酶进行分子对接研究,然后进行 ADMET(吸收、分布、代谢、排泄和毒性)分析,对筛选出的化合物进行了另一轮筛选。此外,还使用 Gromacs 5.1.1 软件对最佳化合物与螺旋酶-RNA 复合物进行了 50 ns 分子动力学模拟,然后进行了分子力学泊松-玻尔兹曼表面积(MM-PBSA)分析。这项比较研究预测,植物化学物格杜宁对 SARS-CoV-2 的 RNA 螺旋酶有很好的抑制作用,其次是日本脑炎病毒和丙型肝炎病毒。研究结果可能有助于开发针对致病病毒 RNA 螺旋酶的抗病毒化合物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mathematical Biology and Bioinformatics
Mathematical Biology and Bioinformatics Mathematics-Applied Mathematics
CiteScore
1.10
自引率
0.00%
发文量
13
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