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通过分子对接、 MM-PBSA 结合能计算和分子动力学模拟鉴定潜在的植物源性 SARS-CoV-2 病毒蛋白酶抑制剂。

Identification of potential plant-based inhibitor against viral proteases of SARS-CoV-2 through molecular docking, MM-PBSA binding energy calculations and molecular dynamics simulation.

机构信息

Department of Biotechnology, Royal Global University, Guwahati, Assam, 781035, India.

Department of Health Research, Model Rural Health Research Unit, Tripura, 799035, India.

出版信息

Mol Divers. 2021 Aug;25(3):1963-1977. doi: 10.1007/s11030-021-10211-9. Epub 2021 Apr 15.

Abstract

The Coronavirus disease 2019 (COVID-19), caused by the novel coronavirus, SARS-CoV-2, has recently emerged as a pandemic. Here, an attempt has been made through in-silico high throughput screening to explore the antiviral compounds from traditionally used plants for antiviral treatments in India namely, Tea, Neem and Turmeric, as potential inhibitors of two widely studied viral proteases, main protease (Mpro) and papain-like protease (PLpro) of the SARS-CoV-2. Molecular docking study using BIOVIA Discovery Studio 2018 revealed, (-)-epicatechin-3-O-gallate (ECG), a tea polyphenol has a binding affinity toward both the selected receptors, with the lowest CDocker energy - 46.22 kcal mol for SARS-CoV-2 Mpro and CDocker energy - 44.72 kcal mol for SARS-CoV-2 PLpro, respectively. The SARS-CoV-2 Mpro complexed with (-)-epicatechin-3-O-gallate, which had shown the best binding affinity was subjected to molecular dynamics simulations to validate its binding affinity, during which, the root-mean-square-deviation values of SARS-CoV-2 Mpro-Co-crystal ligand (N3) and SARS-CoV-2 Mpro- (-)-epicatechin-3-O-gallate systems were found to be more stable than SARS-CoV-2 Mpro system. Further, (-)-epicatechin-3-O-gallate was subjected to QSAR analysis which predicted IC of 0.3281 nM against SARS-CoV-2 Mpro. Overall, (-)-epicatechin-3-O-gallate showed a potential binding affinity with SARS-CoV-2 Mpro and could be proposed as a potential natural compound for COVID-19 treatment.

摘要

新型冠状病毒(SARS-CoV-2)引起的 2019 年冠状病毒病(COVID-19)最近已成为一种大流行疾病。本研究试图通过计算机高通量筛选,从印度传统使用的植物中寻找抗病毒化合物,如茶、印度楝树和姜黄,作为两种广泛研究的病毒蛋白酶(SARS-CoV-2 的主要蛋白酶(Mpro)和木瓜样蛋白酶(PLpro))的潜在抑制剂。使用 BIOVIA Discovery Studio 2018 进行的分子对接研究表明,茶儿茶素-3-O-没食子酸酯(ECG)是一种茶类多酚,对两种选定的受体均具有结合亲和力,与 SARS-CoV-2 Mpro 的最低 CDocker 能量分别为-46.22 kcal/mol,与 SARS-CoV-2 PLpro 的 CDocker 能量分别为-44.72 kcal/mol。与 SARS-CoV-2 Mpro 结合的具有最佳结合亲和力的(-)-表儿茶素-3-O-没食子酸酯复合物进一步进行分子动力学模拟以验证其结合亲和力,在此过程中,发现 SARS-CoV-2 Mpro-共晶配体(N3)和 SARS-CoV-2 Mpro-(-)-表儿茶素-3-O-没食子酸酯系统的均方根偏差值比 SARS-CoV-2 Mpro 系统更稳定。此外,还对(-)-表儿茶素-3-O-没食子酸酯进行了 QSAR 分析,预测其对 SARS-CoV-2 Mpro 的 IC 为 0.3281 nM。总体而言,(-)-表儿茶素-3-O-没食子酸酯与 SARS-CoV-2 Mpro 显示出潜在的结合亲和力,可作为 COVID-19 治疗的潜在天然化合物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f348/8047602/c4b33e591432/11030_2021_10211_Fig1_HTML.jpg

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