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Minimal Pharmacophoric Elements and Fragment Hopping an Approach Directed at Molecular Diversity and Isozyme Selectivity. Design of Selective Neuronal Nitric Oxide Synthase Inhibitors

机译:最小的药理学元素和片段跳跃一种针对分子多样性和同工酶选择性的方法。选择性神经元一氧化氮合酶抑制剂的设计

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摘要

Fragment hopping, a new fragment-based approach for de novo inhibitor design focusing on ligand diversity and isozyme selectivity, is described. The core of this approach is the derivation of the minimal pharmacophoric element for each pharmacophore. Sites for both ligand binding and isozyme selectivity are considered in deriving the minimal pharmacophoric elements. Five general-purpose libraries are established: the basic fragment library, the bioisostere library, the rules for metabolic stability, the toxicophore library, and the side chain library. These libraries are employed to generate focused fragment libraries to match the minimal pharmacophoric elements for each pharmacophore and then to link the fragment to the desired molecule. This method was successfully applied to neuronal nitric oxide synthase (nNOS), which is implicated in stroke and neurodegenerative diseases. Starting with the nitroarginine-containing dipeptide inhibitors we developed previously, a small organic molecule with a totally different chemical structure was designed, which showed nanomolar nNOS inhibitory potency and more than 1000-fold nNOS selectivity. The crystallographic analysis confirms that the small organic molecule with a constrained conformation can exactly mimic the mode of action of the dipeptide nNOS inhibitors. Therefore, a new peptidomimetic strategy, referred to as fragment hopping, which creates small organic molecules that mimic the biological function of peptides by a pharmacophore-driven strategy for fragment-based de novo design, has been established as a new type of fragment-based inhibitor design. As an open system, the newly established approach efficiently incorporates the concept of early “ADME/Tox” considerations and provides a basic platform for medicinal chemistry-driven efforts.
机译:描述了片段跳跃,这是一种新的基于片段的从头抑制剂设计新方法,重点关注配体多样性和同工酶选择性。该方法的核心是每个药效团的最小药效团元素的推导。在获得最小的药效学元素时,应考虑配体结合和同工酶选择性的位点。建立了五个通用库:基本片段库,生物等排体库,代谢稳定性规则,毒体库和侧链库。这些文库用于生成聚焦片段文库,以匹配每个药效基团的最小药效基团元素,然后将片段连接至所需分子。此方法已成功应用于神经元一氧化氮合酶(nNOS),与中风和神经退行性疾病有关。从我们先前开发的含硝基精氨酸的二肽抑制剂开始,设计了一个化学结构完全不同的有机小分子,该分子显示出纳摩尔级的nNOS抑制能力和1000倍以上的nNOS选择性。晶体学分析证实,具有受限构象的有机小分子可以精确模拟二肽nNOS抑制剂的作用方式。因此,已经建立了一种新的拟肽策略,称为片段跳跃,它通过药效基团驱动的基于片段的从头设计策略创建了模仿肽的生物学功能的有机小分子,已被设计为一种新型的基于片段的类型抑制剂设计。作为一个开放系统,新建立的方法有效地结合了早期“ ADME / Tox”注意事项的概念,并为药物化学驱动的工作提供了基础平台。

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