一种新的方法来鉴定可能的GSK-3β抑制剂使用药物的计算虚拟筛选分析

K. M. Latha, G. Babu
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引用次数: 1

摘要

GSK-3在葡萄糖摄取中具有重要作用,并使用更特异性的atp竞争性GSK-3抑制剂进行了研究。除了磷酸化糖原合成酶和调节葡萄糖代谢的能力外,这种多功能激酶随后被发现是许多细胞功能的关键组成部分,包括调节不同的细胞信号,细胞分裂,分化,增殖和生长以及凋亡。在这项工作中,我们报告了药物银行数据库中2035种已批准药物的分子对接分析,基于它们与2型糖尿病蛋白靶点GSK-3β的结合潜力。分子对接分析揭示了几种新型药物对GSK-3β具有抑制作用。通过Molegro、mcule、Pose&Rank、MTiAutoDock、DockThor、DSX等6种评分方案,对13种最佳药物进行共识评分,选出前3名(Venetoclax、Cobicistat、阿托伐他汀)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel approach for identification of possible GSK-3β inhibitors using computational virtual screening analysis of drugs
GSK-3 has a prominent role in glucose uptake and was investigated using more specific, ATP-competitive GSK-3 inhibitors. This multifunctional kinase apart from the ability to phosphorylate glycogen synthase and regulate glucose metabolism was subsequently found to be a critical component in numerous cellular functions including regulation of different cell signalling, cell division, differentiation, proliferation and growth as well as apoptosis. In this work, we report molecular docking analysis of 2035 approved drugs from DrugBank database based on their potential to bind against type-2 diabetes protein target, GSK-3β. Molecular docking analysis revealed several new classes of drugs reported to exhibit inhibitory properties against GSK-3β. Out of 13 best drugs resulted from the analysis, top three (Venetoclax, Cobicistat and Atorvastatin) were selected based on consensus scoring using six scoring schemes such as MolDock score of Molegro, mcule, Pose&Rank, MTiAutoDock, DockThor and DSX respectively.
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