Structure-Based Virtual Screening for Differential Inhibition of Aldose Reductase, Implicated in Secondary Complications in Diabetes

Ranvir Singh
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Abstract

As a clinically relevant drug target, there have been several attempts to design a structure-based inhibitor for aldose reductase (AR). Since most of the aldehydes are presented to AR conjugated with glutathione, in present work, the structure of AR complexed with NADPH and a glutathione analog was used as a target for virtual screening of small molecule library. Due to interactions of the glutathione backbone with the binding pocket of AR, the ternary complex (AR●NADPH●DCEG) represents a unique conformation of AR backbone. NCI diversity set V was used as a small molecules library for virtual screening. AutoDock Vina was used for docking and scoring of ligands. Few select hits with low binding free energy were obtained, which may be potential leads for a search of an differential inhibitor against AR.
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基于结构的醛糖还原酶差异抑制的虚拟筛选,涉及糖尿病的继发性并发症
作为一种临床相关的药物靶点,已经有几次尝试设计一种基于结构的醛糖还原酶(AR)抑制剂。由于大多数醛都是与谷胱甘肽偶联的AR,因此在本工作中,与NADPH和谷胱甘肽类似物络合的AR结构被用作小分子文库的虚拟筛选靶标。由于谷胱甘肽骨架与AR结合口袋的相互作用,三元复合物(AR●NADPH●DCEG)代表AR骨架的独特构象。NCI多样性集合V被用作虚拟筛选的小分子文库。AutoDock Vina用于配体的对接和评分。很少获得具有低结合自由能的选择性命中,这可能是寻找针对AR的差异抑制剂的潜在线索。
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