Virtual Screening for SARS-COV-2 Entry Inhibitors by Dual Targeting of TMPRSS2 and CTSL

IF 0.5 Pharmacophore Pub Date : 2023-01-01 DOI:10.51847/6imwqjwvpa
Ian Lemuel Sigue Virtucio, J. Punzalan, J. Billones
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引用次数: 1

Abstract

The COVID-19 pandemic remains to be a global public health crisis due to the emergence of new variants of concern and the scarcity of drug treatments. The cell entry of SARS-CoV-2 requires activation of its spike protein by host proteases TMPRSS2 and CTSL, which triggers membrane fusion and facilitates the endocytic uptake mechanism, respectively. This study employed a structure-based virtual screening technique to identify drugs and natural products that simultaneously target TMPRSS2 and CTSL. Two pharmacophore models were generated from the binding sites of the proteins in complex with their co-crystallized ligands. Both structure-based pharmacophores were used to screen a ligand library composed of 41,775 compounds (10,849 drugs from the ChEMBL database and 30,926 natural products from the NPASS database). A total of 115 compounds (54 drugs and 61 natural products) that fit both TMPRSS2 and CTSL pharmacophore models were identified. The common hits were docked into both proteases to obtain a short list of compounds. Molecular docking filtered 17 compounds (5 drugs and 12 natural products) that have higher binding energy values than the co-crystallized ligands and known inhibitors of both proteins. The top hits were then subjected to ADMET, drug-likeness, and synthetic accessibility filters. Based on docking scores, pharmacokinetics, and drug-likeness, Silibinin was the most promising repurposed drug candidate as a treatment for SARS-CoV-2 infection via dual inhibition of TMPRSS2 and CTSL. Among the natural products, barettin was the best candidate for further development as a novel dual TMPRSS2 and CTSL inhibitor.
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基于TMPRSS2和CTSL双重靶向的SARS-COV-2进入抑制剂虚拟筛选
由于令人担忧的新变种的出现和药物治疗的缺乏,COVID-19大流行仍然是一场全球公共卫生危机。SARS-CoV-2进入细胞需要宿主蛋白酶TMPRSS2和CTSL激活其刺突蛋白,分别触发膜融合和促进内吞摄取机制。本研究采用基于结构的虚拟筛选技术来鉴定同时靶向TMPRSS2和CTSL的药物和天然产物。从蛋白质的结合位点及其共结晶配体生成了两种药效团模型。这两种基于结构的药效团用于筛选由41,775种化合物组成的配体文库(ChEMBL数据库中的10,849种药物和NPASS数据库中的30,926种天然产物)。共鉴定出符合TMPRSS2和CTSL药效团模型的115种化合物(54种药物和61种天然产物)。将常见的靶点与两种蛋白酶对接,以获得一份简短的化合物清单。分子对接筛选了17种化合物(5种药物和12种天然产物),这些化合物的结合能值高于两种蛋白质的共结晶配体和已知抑制剂。然后对最热门的搜索结果进行ADMET、药物相似性和合成可及性过滤。基于对接评分、药代动力学和药物相似性,水飞蓟宾是最有希望通过TMPRSS2和CTSL双重抑制治疗SARS-CoV-2感染的再用途候选药物。在天然产物中,baretttin作为一种新型的TMPRSS2和CTSL双抑制剂是进一步开发的最佳候选物。
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Pharmacophore
Pharmacophore PHARMACOLOGY & PHARMACY-
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