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冠状病毒基因组的系统发育分析和从选定的美国食品药品监督管理局批准药物中寻找潜在抗 COVID-19 药物的分子研究。

Phylogenic analysis of coronavirus genome and molecular studies on potential anti-COVID-19 agents from selected FDA-approved drugs.

机构信息

Department of Biochemistry, Faculty of Life Sciences, University of Ilorin, Ilorin, Nigeria.

Department of Biochemistry, Faculty of Basic Medical Sciences, University of Medical Sciences, Ondo City, Ondo State, Nigeria.

出版信息

J Biomol Struct Dyn. 2022 Oct;40(17):7726-7743. doi: 10.1080/07391102.2021.1902392. Epub 2021 Mar 22.

DOI:10.1080/07391102.2021.1902392
PMID:33749538
Abstract

The emergence of 2019 novel Coronavirus (COVID-19 or 2019-nCoV) has caused significant global morbidity and mortality with no consensus specific treatment. We tested the hypothesis that FDA-approved antiretrovirals, antibiotics, and antimalarials will effectively inhibit COVID-19 two major drug targets, coronavirus nucleocapsid protein (NP) and hemagglutinin-esterase (HE). To test this hypothesis, we carried out a phylogenic analysis of coronavirus genome to understand the origins of NP and HE, and also modeled the proteins before molecular docking, druglikeness, toxicity assessment, molecular dynamics simulation (MDS) and ligand-based pharmacophore modeling of the selected FDA-approved drugs. Our models for NP and HE had over 95% identity with templates 5EPW and 3CL5 respectively in the PDB database, with majority of the amino acids occupying acceptable regions. The active sites of the proteins contained conserved residues that were involved in ligand binding. Lopinavir and ritonavir possessed greater binding affinities for NP and HE relative to remdesivir, while levofloxacin and hydroxychloroquine were the most notable among the other classes of drugs. The Root Mean Square Deviation (RMSD), Root Mean Square Fluctuation (RMSF), Radius of gyration (Rg), and binding energy values obtained after 100 ns of MDS revealed good stability of these compounds in the binding sites of the proteins while important pharmacophore features were also identified. The study showed that COVID-19 likely originated from bat, owing to the over 90% genomic similarity observed, and that lopinavir, levofloxacin, and hydroxychloroquine might serve as potential anti-COVID-19 lead molecules for additional optimization and drug development for the treatment of COVID-19.Communicated by Ramaswamy H. Sarma.

摘要

2019 年新型冠状病毒(COVID-19 或 2019-nCoV)的出现导致了重大的全球发病率和死亡率,目前尚无共识的特效治疗方法。我们检验了这样一个假设,即美国食品和药物管理局(FDA)批准的抗逆转录病毒药物、抗生素和抗疟药将有效抑制 COVID-19 的两个主要药物靶点,即冠状病毒核衣壳蛋白(NP)和血凝素-酯酶(HE)。为了检验这一假设,我们对冠状病毒基因组进行了系统发育分析,以了解 NP 和 HE 的起源,同时对蛋白质进行建模,然后进行分子对接、类药性、毒性评估、分子动力学模拟(MDS)以及选定的 FDA 批准药物的基于配体的药效团建模。我们的 NP 和 HE 模型与 PDB 数据库中的 5EPW 和 3CL5 模板分别具有超过 95%的同一性,其中大多数氨基酸占据可接受的区域。蛋白质的活性部位含有保守的残基,这些残基参与配体结合。洛匹那韦和利托那韦与瑞德西韦相比,对 NP 和 HE 具有更大的结合亲和力,而左氧氟沙星和羟氯喹是其他几类药物中最显著的。在 MDS 进行 100ns 后获得的均方根偏差(RMSD)、均方根波动(RMSF)、回转半径(Rg)和结合能值表明,这些化合物在蛋白质的结合部位具有良好的稳定性,同时也确定了重要的药效团特征。该研究表明,COVID-19 可能起源于蝙蝠,这是由于观察到超过 90%的基因组相似性,洛匹那韦、左氧氟沙星和羟氯喹可能成为治疗 COVID-19 的潜在抗 COVID-19 先导分子,可进一步优化和开发药物。

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