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

机译:对SARS-COV-2的一些植物代谢产物的筛选和可耐药性分析:综合计算方法

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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 furtherin vivotrials for the experimental validation of our findings.
机译:突然爆发的小冠状病毒引起了由于其感染率和死亡率引起的全球担忧。尽管进行了广泛的研究,但仍然没有特定的药物或疫苗来打击SARS-COV-2感染。因此,本研究旨在通过使用虚拟筛选方法和各种计算分析来评估针对SARS-COV-2的药物候选的一些基于植物的活性化合物。使用分子对接方法筛选总共27种植物代谢物针对SARS-COV-2主要蛋白酶蛋白(MPP),NSP9RNA结合蛋白,尖峰受体结合域,尖峰受体结合结构尖峰,尖刺的EECTO结构域和HR2结构域。四种代谢物,即亚氨基酸,脂肪酸,植物,胍蛋白和upabaverin和uperaferin显示出与最低全球结合能量的所有关键蛋白质的最大结合亲和力。为每个病毒蛋白解开关键的结合位点和药物表面热点。候选人进一步用于ADME(吸收,分布,代谢和排泄)分析,以研究其药物谱。结果表明,这些化合物都不会使任何可能降低其药物象征性质的不良后果。毒性模式的分析显示了化合物没有明显的致瘤,致致瘤症,致突变,刺激性或生殖作用。然而,具有相当大的细胞毒性和免疫毒性的前四个候选者中,具有相对毒性的。顶部药物候选者的大多数靶阶层属于酶组(例如氧化还原酶水解酶,磷酸酶)。此外,药物相似性预测结果揭示了亚氨基酸的两种认可的结构性类似物(DB00741)(以前用于SARS-COV-1和MERS)和DINOPORTOUR-TROMethamine(DB01160)。另外,另外两种其他生物活性化合物,含水素(DB00410)和辛伐他汀(DB00641)可以是治疗病毒感染的选项。该研究可以为对SARS-COV-2进行有效的药物和预防措施铺平道路。由于令人鼓舞的结果,我们强烈建议进一步为我们的研究结果进行实验验证。

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