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某些植物代谢产物针对严重急性呼吸综合征冠状病毒2的筛选及成药潜力分析:一种综合计算方法

Screening and druggability analysis of some plant metabolites against SARS-CoV-2: An integrative computational approach.

作者信息

Azim Kazi Faizul, Ahmed Sheikh Rashel, Banik Anik, Khan Md Mostafigur Rahman, Deb Anamika, Somana Saneya Risa

机构信息

Faculty of Biotechnology and Genetic Engineering, Sylhet Agricultural University, Sylhet, 3100, Bangladesh.

Department of Microbial Biotechnology, Sylhet Agricultural University, Sylhet, 3100, Bangladesh.

出版信息

Inform Med Unlocked. 2020;20:100367. doi: 10.1016/j.imu.2020.100367. Epub 2020 Jun 9.

Abstract

The sudden outbreak of novel coronavirus has caused a global concern due to its infection rate and mortality. Despite extensive research, there are still no specific drugs or vaccines to combat SARS-CoV-2 infection. Hence, this study was designed to evaluate some plant-based active compounds for drug candidacy against SARS-CoV-2 by using virtual screening methods and various computational analyses. A total of 27 plant metabolites were screened against SARS-CoV-2 main protease proteins (MPP), Nsp9 RNA binding protein, spike receptor binding domain, spike ecto-domain and HR2 domain using a molecular docking approach. Four metabolites, i.e., asiatic acid, avicularin, guajaverin, and withaferin showed maximum binding affinity with all key proteins in terms of lowest global binding energy. The crucial binding sites and drug surface hotspots were unravelled for each viral protein. The top candidates were further employed for ADME (absorption, distribution, metabolism, and excretion) analysis to investigate their drug profiles. Results suggest that none of the compounds render any undesirable consequences that could reduce their drug likeness properties. The analysis of toxicity pattern revealed no significant tumorigenic, mutagenic, irritating, or reproductive effects by the compounds. However, withaferin was comparatively toxic among the top four candidates with considerable cytotoxicity and immunotoxicity. Most of the target class by top drug candidates belonged to enzyme groups (e.g. oxidoreductases hydrolases, phosphatases). Moreover, results of drug similarity prediction revealed two approved structural analogs of Asiatic acid i.e. Hydrocortisone (DB00741) (previously used for SARS-CoV-1 and MERS) and Dinoprost-tromethamine (DB01160) from DrugBank. In addition, two other biologically active compounds, Mupirocin (DB00410) and Simvastatin (DB00641) could be an option for the treatment of viral infections. The study may pave the way to develop effective medications and preventive measure against SARS-CoV-2. Due to the encouraging results, we highly recommend further trials for the experimental validation of our findings.

摘要

新型冠状病毒的突然爆发因其感染率和死亡率而引起了全球关注。尽管进行了广泛研究,但仍没有用于对抗严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染的特效药物或疫苗。因此,本研究旨在通过虚拟筛选方法和各种计算分析,评估一些基于植物的活性化合物作为抗SARS-CoV-2药物候选物的可能性。使用分子对接方法,针对SARS-CoV-2主要蛋白酶蛋白(MPP)、Nsp9 RNA结合蛋白、刺突受体结合域、刺突胞外域和HR2域,对总共27种植物代谢产物进行了筛选。四种代谢产物,即积雪草苷、扁蓄苷、瓜哇苷和睡茄素A,就最低的全局结合能而言,与所有关键蛋白显示出最大的结合亲和力。揭示了每种病毒蛋白的关键结合位点和药物表面热点。对顶级候选物进一步进行了药物吸收、分布、代谢和排泄(ADME)分析,以研究它们的药物特性。结果表明,没有一种化合物会产生任何可能降低其类药性质的不良后果。毒性模式分析显示,这些化合物没有显著的致瘤、致突变、刺激或生殖效应。然而,睡茄素A在四大候选物中相对具有毒性,具有相当大的细胞毒性和免疫毒性。顶级药物候选物的大多数靶标类别属于酶类(如氧化还原酶、水解酶、磷酸酶)。此外,药物相似性预测结果显示了积雪草苷的两种已批准的结构类似物,即氢化可的松(DrugBank编号:DB00741)(以前用于SARS-CoV-1和中东呼吸综合征)和地诺前列素-三甲胺(DrugBank编号:DB01160)。此外,另外两种生物活性化合物,莫匹罗星(DrugBank编号:DB00410)和辛伐他汀(DrugBank编号:DB00641)可能是治疗病毒感染的选择。该研究可能为开发针对SARS-CoV-2的有效药物和预防措施铺平道路。由于结果令人鼓舞,我们强烈建议进一步进行试验,以对我们的发现进行实验验证。

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