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冠状病毒和人类宿主关键蛋白的网络分析、序列和结构动力学,以及九种药用植物中选定植物化学物质的分子对接。

Network analysis, sequence and structure dynamics of key proteins of coronavirus and human host, and molecular docking of selected phytochemicals of nine medicinal plants.

机构信息

Translational Bioinformatics Unit, Department of Biochemistry, Federal University Oye Ekiti, Oye Ekiti, Ekiti State, Nigeria.

Department of Nutrition and Biomedicine, Technical University of Munich, Munich, Germany.

出版信息

J Biomol Struct Dyn. 2021 Oct;39(16):6195-6217. doi: 10.1080/07391102.2020.1794971. Epub 2020 Jul 20.

Abstract

The novel coronavirus of 2019 (nCoV-19) has become a pandemic, affecting over 205 nations with over 7,410,000 confirmed cases which has resulted to over 418,000 deaths worldwide. This study aimed to identify potential therapeutic compounds and phytochemicals of medicinal plants that have potential to modulate the expression network of genes that are involve in SARS-CoV-2 pathology in human host and to understand the dynamics key proteins involved in the virus-host interactions. The method used include gene network analysis, molecular docking, and sequence and structure dynamics simulations. The results identified DNA-dependent protein kinase (DNA-PK) and Protein kinase CK2 as key players in SARS-CoV-2 lifecycle. Among the predicted drugs compounds, clemizole, monorden, spironolactone and tanespimycin showed high binding energies; among the studied repurposing compounds, remdesivir, simeprevir and valinomycin showed high binding energies; among the predicted acidic compounds, acetylursolic acid and hardwickiic acid gave high binding energies; while among the studied anthraquinones and glycosides compounds, ellagitannin and friedelanone showed high binding energies against 3-Chymotrypsin-like protease (3CL), Papain-like protease (PL), helicase (nsp13), RNA-dependent RNA polymerase (nsp12), 2'-O-ribose methyltransferase (nsp16) of SARS-CoV-2 and DNA-PK and CK2alpha in human. The order of affinity for CoV proteins is 5Y3E > 6NUS > 6JYT > 2XYR > 3VB6. Finally, medicinal plants with phytochemicals such as caffeine, ellagic acid, quercetin and their derivatives could possibly remediate COVID-19.Communicated by Ramaswamy H. Sarma.

摘要

2019 年新型冠状病毒(nCoV-19)已成为全球性大流行病,影响了 205 个国家和地区,确诊病例超过 741 万例,全球死亡超过 41.8 万例。本研究旨在鉴定具有调节宿主细胞中 SARS-CoV-2 病理相关基因表达网络潜力的药用植物潜在治疗化合物和植物化学物质,并了解病毒-宿主相互作用中涉及的关键蛋白质的动态。本研究使用基因网络分析、分子对接、序列和结构动力学模拟等方法。结果表明,DNA 依赖性蛋白激酶(DNA-PK)和蛋白激酶 CK2 是 SARS-CoV-2 生命周期中的关键因素。在预测的药物化合物中,氯咪佐、莫诺苯宗、螺内酯和坦西普霉素显示出较高的结合能;在研究的再利用化合物中,瑞德西韦、西米普韦和缬氨霉素显示出较高的结合能;在预测的酸性化合物中,乙酰熊果酸和硬脂酸表现出较高的结合能;在研究的蒽醌和糖苷类化合物中,鞣花单宁和friedelanone 对 SARS-CoV-2 的 3- 糜蛋白酶样蛋白酶(3CL)、木瓜蛋白酶样蛋白酶(PL)、解旋酶(nsp13)、RNA 依赖性 RNA 聚合酶(nsp12)、2'-O- 核糖甲基转移酶(nsp16)和人源 DNA-PK 和 CK2alpha 表现出较高的结合能。对 CoV 蛋白的亲和力顺序为 5Y3E > 6NUS > 6JYT > 2XYR > 3VB6。最后,含有咖啡因、鞣花酸、槲皮素及其衍生物等植物化学物质的药用植物可能对 COVID-19 有治疗作用。通讯作者为 Ramaswamy H. Sarma。

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