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姜黄素衍生多酚对新型冠状病毒肺炎主要蛋白酶结合口袋的结构和柔韧性的影响:一项分子动力学模拟研究

The impact of curcumin derived polyphenols on the structure and flexibility COVID-19 main protease binding pocket: a molecular dynamics simulation study.

作者信息

Mulu Aweke, Gajaa Mulugeta, Woldekidan Haregewoin Bezu, W/Mariam Jerusalem Fekadu

机构信息

College of Applied Science, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.

College of Natural and Social science, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.

出版信息

PeerJ. 2021 Jul 19;9:e11590. doi: 10.7717/peerj.11590. eCollection 2021.

Abstract

The newly occurred SARS-CoV-2 caused a leading pandemic of coronavirus disease (COVID-19). Up to now it has infected more than one hundred sixty million and killed more than three million people according to 14 May 2021 World Health Organization report. So far, different types of studies have been conducted to develop an anti-viral drug for COVID-19 with no success yet. As part of this, silico were studied to discover and introduce COVID-19 antiviral drugs and results showed that protease inhibitors could be very effective in controlling. This study aims to investigate the binding affinity of three curcumin derived polyphenols against COVID-19 the main protease (Mpro), binding pocket, and identification of important residues for interaction. In this study, molecular modeling, auto-dock coupled with molecular dynamics simulations were performed to analyze the conformational, and stability of COVID-19 binding pocket with diferuloylmethane, demethoxycurcumin, and bisdemethoxycurcumin. All three compounds have shown binding affinity -39, -89 and -169.7, respectively. Demethoxycurcumin and bisdemethoxycurcumin showed an optimum binding affinity with target molecule and these could be one of potential ligands for COVID-19 therapy. And also, COVID-19 main protease binding pocket binds with the interface region by one hydrogen bond. Moreover, the MD simulation parameters indicated that demethoxycurcumin and bisdemethoxycurcumin were stable during the simulation run. These findings can be used as a baseline to develop therapeutics with curcumin derived polyphenols against COVID-19.

摘要

新出现的严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引发了冠状病毒病(COVID-19)的大流行。截至2021年5月14日,根据世界卫生组织的报告,它已感染超过1.6亿人,导致超过300万人死亡。到目前为止,已经进行了不同类型的研究来开发针对COVID-19的抗病毒药物,但尚未成功。作为其中一部分,通过计算机模拟研究来发现和介绍针对COVID-19的抗病毒药物,结果表明蛋白酶抑制剂在控制方面可能非常有效。本研究旨在研究三种姜黄素衍生的多酚对COVID-19主要蛋白酶(Mpro)的结合亲和力、结合口袋以及相互作用重要残基的鉴定。在本研究中,进行了分子建模、自动对接并结合分子动力学模拟,以分析COVID-19结合口袋与二阿魏酰甲烷、去甲氧基姜黄素和双去甲氧基姜黄素的构象和稳定性。所有这三种化合物的结合亲和力分别显示为-39、-89和-169.7。去甲氧基姜黄素和双去甲氧基姜黄素与靶分子显示出最佳结合亲和力,它们可能是COVID-19治疗的潜在配体之一。此外,COVID-19主要蛋白酶结合口袋通过一个氢键与界面区域结合。而且,分子动力学模拟参数表明去甲氧基姜黄素和双去甲氧基姜黄素在模拟过程中是稳定的。这些发现可作为开发基于姜黄素衍生多酚的COVID-19治疗药物的基线。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b857/8297469/e841ba46f379/peerj-09-11590-g001.jpg

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