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Creation of Novel Cores for β-Secretase (BACE-1) Inhibitors: A Multiparameter Lead Generation Strategy

机译:β-分泌酶(BACE-1)抑制剂的新型核心的创建:多参数线索生成策略。

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摘要

In order to find optimal core structures as starting points for lead optimization, a multiparameter lead generation workflow was designed with the goal of finding BACE-1 inhibitors as a treatment for Alzheimer’s disease. De novo design of core fragments was connected with three predictive in silico models addressing target affinity, permeability, and hERG activity, in order to guide synthesis. Taking advantage of an additive SAR, the prioritized cores were decorated with a few, well-characterized substituents from known BACE-1 inhibitors in order to allow for core-to-core comparisons. Prediction methods and analyses of how physicochemical properties of the core structures correlate to in vitro data are described. The syntheses and in vitro data of the test compounds are reported in a separate paper by Ginman et al. [J. Med. Chem. 2013, 56, 4181-4205]. The affinity predictions are described in detail by Roos et al. [J. Chem. Inf. 2014, DOI: 10.1021/ci400374z].
机译:为了找到最佳的核心结构作为优化铅的起点,设计了多参数铅生成工作流程,目的是寻找BACE-1抑制剂作为阿尔茨海默氏病的治疗方法。为了指导合成,将核心片段的从头设计与三个针对目标亲和力,通透性和hERG活性的计算机模拟预测模型联系在一起。利用加成SAR,优先核的核心用来自BACE-1抑制剂的一些特征明确的取代基修饰,以便进行核与核之间的比较。描述了预测方法和核心结构的理化特性如何与体外数据相关的分析。 Ginman等人在另一篇论文中报道了测试化合物的合成和体外数据。 [J.中化学2013,56,4181-4205]。亲和力预测由Roos等人详细描述。 [J.化学Inf。 2014,DOI:10.1021 / ci400374z]。

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