Proposing of fungal endophyte secondary metabolites as a potential inhibitors of 2019-novel coronavirus main protease using docking and molecular dynamics.

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Kosar Sadat Ebrahimi, Mahdieh S Hosseyni Moghaddam, Mohabbat Ansari, Amin Nowroozi, Mohsen Shahlaei, Sajad Moradi
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引用次数: 0

Abstract

In this study, the inhibitory potential of 99 fungal derived secondary metabolites was predicted against SARS-CoV-2 main protease by using of computational approaches. This protein plays an important role in replication and is one of the important targets to inhibit viral reproduction. Among the 99 reported compounds, the 9 of them with the highest binding energy to Mpro obtained from the molecular docking method were selected for the molecular dynamic simulations. The compounds were then investigated by using the SwissADME serve to evaluate the compounds in terms of pharmacokinetic and druglikness properties. The overall results of different analysis show that the compound RKS-1778 is potentially more effective than others and form strong complexes with viral protease. It also had better pharmacokinetic properties than other metabolites, so predicted to be a suitable candidate as anti SARS-CoV-2 bioactive.

利用对接和分子动力学方法提出真菌内生次生代谢物作为2019-新型冠状病毒主蛋白酶潜在抑制剂的可能性
本研究利用计算方法预测了 99 种真菌衍生次生代谢物对 SARS-CoV-2 主要蛋白酶的抑制潜力。该蛋白在病毒复制过程中起着重要作用,是抑制病毒繁殖的重要靶标之一。在已报道的 99 个化合物中,我们选择了分子对接法得到的与 Mpro 结合能最高的 9 个化合物进行分子动力学模拟。随后,利用 SwissADME 对这些化合物进行了药代动力学和药效学方面的研究。不同分析的总体结果表明,化合物 RKS-1778 比其他化合物更有效,能与病毒蛋白酶形成强复合物。它的药代动力学特性也优于其他代谢物,因此被认为是抗 SARS-CoV-2 生物活性物质的合适候选化合物。
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
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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