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从荨麻中鉴定新型血管紧张素转换酶 2(ACE-2)受体抑制剂以对抗 2019 年冠状病毒病(COVID-19)。

Identification of novel inhibitors of angiotensin-converting enzyme 2 (ACE-2) receptor from Urtica dioica to combat coronavirus disease 2019 (COVID-19).

机构信息

Cell and Molecular Biology Laboratory, Department of Zoology, Kumaun University, SSJ Campus, Almora, Uttarakhand, India.

Department of Biotechnology, National Institute of Technology, Raipur, Chhattisgarh, India.

出版信息

Mol Divers. 2021 Aug;25(3):1795-1809. doi: 10.1007/s11030-020-10159-2. Epub 2021 Jan 4.

Abstract

The pandemic outbreak of coronavirus (SARS-CoV-2) is rapidly spreading across the globe, so the development of anti-SARS-CoV-2 agents is urgently needed. Angiotensin-converting enzyme 2 (ACE-2), a human receptor that facilitates entry of SARS-CoV-2, serves as a prominent target for drug discovery. In the present study, we have applied the bioinformatics approach for screening of a series of bioactive chemical compounds from Himalayan stinging nettle (Urtica dioica) as potent inhibitors of ACE-2 receptor (PDB ID: 1R4L). The molecular docking was applied to dock a set of representative compounds within the active site region of target receptor protein using 0.8 version of the PyRx virtual screen tool and analyzed by using discovery studio visualizer. Based on the highest binding affinity, 23 compounds were shortlisted as a lead molecule using molecular docking analysis. Among them, β-sitosterol was found with the highest binding affinity - 12.2 kcal/mol and stable interactions with the amino acid residues present on the active site of the ACE-2 receptor. Similarly, luteoxanthin and violaxanthin followed by rutin also displayed stronger binding efficiency. We propose these compounds as potential lead candidates for the development of target-specific therapeutic drugs against COVID-19.

摘要

冠状病毒(SARS-CoV-2)的大流行迅速在全球范围内蔓延,因此急需开发抗 SARS-CoV-2 的药物。血管紧张素转换酶 2(ACE-2)是一种促进 SARS-CoV-2 进入人体的人类受体,是药物发现的重要靶标。在本研究中,我们应用生物信息学方法从喜马拉雅荨麻(Urtica dioica)中筛选了一系列具有生物活性的化学化合物,作为 ACE-2 受体的有效抑制剂(PDB ID:1R4L)。采用 0.8 版本的 PyRx 虚拟筛选工具,将一组代表性化合物应用于靶受体蛋白的活性部位进行分子对接,并使用 discovery studio visualizer 进行分析。根据最高结合亲和力,使用分子对接分析从 23 种化合物中筛选出 23 种作为先导分子。其中,β-谷甾醇与 ACE-2 受体活性部位的氨基酸残基具有最高的结合亲和力(-12.2 kcal/mol)和稳定的相互作用。叶黄素和玉米黄质紧随其后,芦丁的结合效率也较强。我们提出这些化合物作为针对 COVID-19 的靶向治疗药物的潜在先导候选物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7022/7781418/bf673ca2856a/11030_2020_10159_Fig1_HTML.jpg

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