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Virtual Screening of Natural Products against Type II Transmembrane Serine Protease (TMPRSS2) the Priming Agent of Coronavirus 2 (SARS-CoV-2)

机译:针对II型跨膜丝氨酸蛋白酶(TMPRSS2)(冠状病毒2(SARS-CoV-2)的启动剂)的天然产物的虚拟筛选

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摘要

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused about 2 million infections and is responsible for more than 100,000 deaths worldwide. To date, there is no specific drug registered to combat the disease it causes, named coronavirus disease 2019 (COVID-19). In the current study, we used an in silico approach to screen natural compounds to find potent inhibitors of the host enzyme transmembrane protease serine 2 (TMPRSS2). This enzyme facilitates viral particle entry into host cells, and its inhibition blocks virus fusion with angiotensin-converting enzyme 2 (ACE2). This, in turn, restricts SARS-CoV-2 pathogenesis. A three-dimensional structure of TMPRSS2 was built using SWISS-MODEL and validated by RAMPAGE. The natural compounds library Natural Product Activity and Species Source (NPASS), containing 30,927 compounds, was screened against the target protein. Two techniques were used in the Molecular Operating Environment (MOE) for this purpose, i.e., a ligand-based pharmacophore approach and a molecular docking-based screening. In total, 2140 compounds with pharmacophoric features were retained using the first approach. Using the second approach, 85 compounds with molecular docking comparable to or greater than that of the standard inhibitor (camostat mesylate) were identified. The top 12 compounds with the most favorable structural features were studied for physicochemical and ADMET (absorption, distribution, metabolism, excretion, toxicity) properties. The low-molecular-weight compound NPC306344 showed significant interaction with the active site residues of TMPRSS2, with a binding energy score of −14.69. Further in vitro and in vivo validation is needed to study and develop an anti-COVID-19 drug based on the structures of the most promising compounds identified in this study.
机译:严重的急性呼吸系统综合症冠状病毒2(SARS-CoV-2)引起了约200万人的感染,是导致全球10万多人死亡的原因。迄今为止,还没有针对这种疾病引起的被注册为冠状病毒病2019(COVID-19)的特定药物进行注册。在当前的研究中,我们使用了计算机模拟方法来筛选天然化合物,以发现宿主酶跨膜蛋白酶丝氨酸2(TMPRSS2)的有效抑制剂。该酶促进病毒颗粒进入宿主细胞,其抑制作用可阻止病毒与血管紧张素转化酶2(ACE2)融合。反过来,这限制了SARS-CoV-2的发病机理。使用SWISS-MODEL构建TMPRSS2的三维结构,并通过RAMPAGE进行验证。针对目标蛋白筛选了包含30,927种化合物的天然化合物库天然产物活性和物种来源(NPASS)。为此,在分子操作环境(MOE)中使用了两种技术,即基于配体的药效团方法和基于分子对接的筛选。使用第一种方法,总共保留了2140种具有药效学特征的化合物。使用第二种方法,鉴定出85种分子对接的化合物,其与标准抑制剂(甲磺胺定律剂)相当或更高。研究了具有最有利结构特征的前12种化合物的理化和ADMET(吸收,分布,代谢,排泄,毒性)特性。低分子量化合物NPC306344与TMPRSS2的活性位点残基表现出显着的相互作用,结合能得分为-14.69。根据这项研究中鉴定出的最有希望的化合物的结构,需要进一步的体外和体内验证来研究和开发抗COVID-19药物。

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