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利用集成对接方法从 FDA 数据库中重新定位针对丙型肝炎病毒 E2 蛋白的药物分子。

Repurposing of drug molecules from FDA database against Hepatitis C virus E2 protein using ensemble docking approach.

机构信息

Department of Life Sciences, Presidency University, 86/1 College Street, Kolkata, 700073, India.

出版信息

Mol Divers. 2024 Jun;28(3):1175-1188. doi: 10.1007/s11030-023-10646-2. Epub 2023 Apr 16.

Abstract

Hepatitis C virus, a member of the Flaviviridae family and genus Hepacivirus, is an enveloped, positively single stranded RNA virus. Its surface consists of a heterodimer of E1 and E2 proteins which play a crucial role in receptor binding and membrane fusion. In this study we have used in silico virtual screening by utilizing ensemble docking on the approved drugs. These drugs can bind with high efficiency to the 36 prominent conformations of the CD81 binding site clustered from a total of 3 µs MD simulation data on the E2 protein. We started with 9213 compounds from the FDA list of drugs and progressively came down to 5 compounds which have been seen to bind with very high efficiency to not only all the conformations but also the two predicted druggable pockets that encompass the CD81 binding site. MM/PBSA binding energy calculations also point to the highly stable interaction of the compounds to the E2 protein. This study may in future broaden the arsenal of therapeutics for use against HCV infection and lead to more effective care against the virus.

摘要

丙型肝炎病毒(Hepatitis C virus),属于黄病毒科和肝病毒属,是一种有包膜的、正单链 RNA 病毒。其表面由 E1 和 E2 两种蛋白组成异二聚体,这两种蛋白在受体结合和膜融合中起关键作用。在本研究中,我们利用基于对接的虚拟筛选技术,对已批准的药物进行了研究。这些药物能够与 E2 蛋白上 3µsMD 模拟数据聚类得到的 36 种 CD81 结合位点的主要构象高效结合。我们从 FDA 批准药物清单中筛选了 9213 种化合物,最终筛选出 5 种化合物,它们不仅能够与所有构象高效结合,而且还能够与包含 CD81 结合位点的两个预测的可成药口袋结合。MM/PBSA 结合能计算也表明,这些化合物与 E2 蛋白的相互作用非常稳定。本研究可能会在未来拓宽针对丙型肝炎病毒感染的治疗方法,并为对抗该病毒提供更有效的治疗。

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