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灰黄霉素及其衍生物的计算机分子动力学揭示了其在 COVID-19 治疗中的潜在应用。

In Silico Molecular Dynamics of Griseofulvin and Its Derivatives Revealed Potential Therapeutic Applications for COVID-19.

机构信息

Department of Biology, Faculty of Science, University of Ottawa, 30 Marie Curie, P.O. Box 450, Station A, Ottawa, ON K1N 6N5, Canada.

Department of Chemistry, Faculty of Sciences, University of Hormozgan, Bandar Abbas 71961, Iran.

出版信息

Int J Mol Sci. 2022 Jun 21;23(13):6889. doi: 10.3390/ijms23136889.

Abstract

Treatment options for Coronavirus Disease 2019 (COVID-19) remain limited, and the option of repurposing approved drugs with promising medicinal properties is of increasing interest in therapeutic approaches to COVID-19. Using computational approaches, we examined griseofulvin and its derivatives against four key anti-SARS-CoV-2 targets: main protease, RdRp, spike protein receptor-binding domain (RBD), and human host angiotensin-converting enzyme 2 (ACE2). Molecular docking analysis revealed that griseofulvin (CID 441140) has the highest docking score (-6.8 kcal/mol) with main protease of SARS-CoV-2. Moreover, griseofulvin derivative M9 (CID 144564153) proved the most potent inhibitor with -9.49 kcal/mol, followed by A3 (CID 46844082) with -8.44 kcal/mol against M protease and ACE2, respectively. Additionally, H bond analysis revealed that compound A3 formed the highest number of hydrogen bonds, indicating the strongest inhibitory efficacy against ACE2. Further, molecular dynamics (MD) simulation analysis revealed that griseofulvin and these derivatives are structurally stable. These findings suggest that griseofulvin and its derivatives may be considered when designing future therapeutic options for SARS-CoV-2 infection.

摘要

针对 2019 年冠状病毒病(COVID-19)的治疗选择仍然有限,而将具有良好药用特性的已批准药物重新用于治疗 COVID-19 的方法越来越受到关注。我们使用计算方法研究了灰黄霉素及其衍生物对四种关键的抗 SARS-CoV-2 靶点的作用:主蛋白酶、RdRp、刺突蛋白受体结合域(RBD)和人源血管紧张素转换酶 2(ACE2)。分子对接分析显示,灰黄霉素(CID 441140)与 SARS-CoV-2 的主蛋白酶具有最高的对接评分(-6.8 kcal/mol)。此外,灰黄霉素衍生物 M9(CID 144564153)对 M 蛋白酶和 ACE2 的抑制作用最强,抑制常数(Ki)分别为-9.49 kcal/mol 和-8.44 kcal/mol。此外,氢键分析显示,化合物 A3 形成了最多的氢键,表明其对 ACE2 的抑制作用最强。进一步的分子动力学(MD)模拟分析表明,灰黄霉素及其衍生物结构稳定。这些发现表明,在设计针对 SARS-CoV-2 感染的未来治疗选择时,可以考虑灰黄霉素及其衍生物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebd1/9267096/3a91c3aa9933/ijms-23-06889-g001.jpg

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