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Exploring the Chemical Space of Multitarget LigandsUsing Aligned Self-Organizing Maps

机译:探索多目标配体的化学空间使用对齐的自组织图

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摘要

Design of multitarget drugs and polypharmacological compounds has become popular during the past decade. However, the main approach to design such compounds is to link two selective ligands via a flexible linker. Although such chimeric ligands often have reasonable potency in vitro, the in vivo efficacy is low due to high molecular weight, low ligand efficiency, and poor pharmacokinetic profile. We developed an unprecedented in silico approach for fragment-based design of multitarget ligands. It relies on superposition of the chemical spaces related to the affinity on single targets represented by self-organizing maps. We used this approach for screening of molecular fragments, which bind to the enzymes 5-lipoxygenase (5-LO) and soluble epoxide hydrolase (sEH). Using STD-NMR and activity-based assays, we were able to identify fragments binding to both targets. Furthermore, we were able to expand one of the fragments to a potent dual inhibitor bearing a reasonable molecular weight (MW = 446) and high affinity to both targets (IC50 of 0.03 μM toward 5-LO and 0.17 μM toward sEH).
机译:在过去的十年中,多靶点药物和多药理学化合物的设计变得很流行。但是,设计此类化合物的主要方法是通过柔性接头连接两个选择性配体。尽管此类嵌合配体通常在体外具有合理的效能,但是由于高分子量,低​​配体效率和不良的药代动力学特性,其体内功效较低。我们开发了一种空前的计算机模拟方法,用于基于片段的多靶点配体设计。它依赖于与自组织图表示的单个目标上的亲和力有关的化学空间的叠加。我们使用这种方法来筛选与酶5-脂氧合酶(5-LO)和可溶性环氧化物水解酶(sEH)结合的分子片段。使用STD-NMR和基于活性的测定,我们能够鉴定与两个靶标结合的片段。此外,我们能够将其中一个片段扩展为一种有效的双重抑制剂,该抑制剂具有合理的分子量(MW = 446)和对两个靶标的高亲和力(朝向5-LO的IC50为0.03μM,朝向sEH的IC50为0.17μM)。

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