Shahid Fareena, Ali Roshan, Badshah Syed Lal, Jamal Syed Babar, Ullah Riaz, Bari Ahmed, Majid Mahmood Hafiz, Sohaib Muhammad, Akber Ansari Siddique
Institute of Basic Medical Sciences, Khyber Medical University, Peshawar 25000, Pakistan.
Department of Chemistry, Islamia College University, Peshawar 25120, Pakistan.
Molecules. 2021 Feb 26;26(5):1257. doi: 10.3390/molecules26051257.
Hepatitis C is affecting millions of people around the globe annually, which leads to death in very high numbers. After many years of research, hepatitis C virus (HCV) remains a serious threat to the human population and needs proper management. The in silico approach in the drug discovery process is an efficient method in identifying inhibitors for various diseases. In our study, the interaction between Epigallocatechin-3-gallate, a component of green tea, and envelope glycoprotein E2 of HCV is evaluated. Epigallocatechin-3-gallate is the most promising polyphenol approved through cell culture analysis that can inhibit the entry of HCV. Therefore, various in silico techniques have been employed to find out other potential inhibitors that can behave as EGCG. Thus, the homology modelling of E2 protein was performed. The potential lead molecules were predicted using ligand-based as well as structure-based virtual screening methods. The compounds obtained were then screened through PyRx. The drugs obtained were ranked based on their binding affinities. Furthermore, the docking of the topmost drugs was performed by AutoDock Vina, while its 2D interactions were plotted in LigPlot+. The lead compound mms02387687 (2-[[5-[(4-ethylphenoxy) methyl]-4-prop-2-enyl-1,2,4-triazol-3-yl] sulfanyl]-N-[3(trifluoromethyl) phenyl] acetamide) was ranked on top, and we believe it can serve as a drug against HCV in the future, owing to experimental validation.
丙型肝炎每年影响着全球数百万人,导致大量死亡。经过多年研究,丙型肝炎病毒(HCV)仍然对人类构成严重威胁,需要妥善管理。药物发现过程中的计算机模拟方法是识别各种疾病抑制剂的有效方法。在我们的研究中,评估了绿茶成分表没食子儿茶素-3-没食子酸酯与HCV包膜糖蛋白E2之间的相互作用。表没食子儿茶素-3-没食子酸酯是通过细胞培养分析认可的最有前景的多酚,可抑制HCV的进入。因此,已采用各种计算机模拟技术来找出其他可作为表没食子儿茶素-3-没食子酸酯的潜在抑制剂。因此,进行了E2蛋白的同源建模。使用基于配体和基于结构的虚拟筛选方法预测潜在的先导分子。然后通过PyRx对获得的化合物进行筛选。根据其结合亲和力对获得的药物进行排名。此外,通过AutoDock Vina对最有效的药物进行对接,同时在LigPlot+中绘制其二维相互作用。先导化合物mms02387687(2-[[5-[(4-乙基苯氧基)甲基]-4-丙-2-烯基-1,2,4-三唑-3-基]硫烷基]-N-[3-(三氟甲基)苯基]乙酰胺)排名第一,我们相信由于实验验证,它未来可作为抗HCV的药物。