Ji Haitao, Stanton Benjamin Z, Igarashi Jotaro, Li Huiying, Martásek Pavel, Roman Linda J, Poulos Thomas L, Silverman Richard B
Department of Chemistry, Center for Drug Discovery and Chemical Biology, Northwestern University, Evanston, Illinois 60208-3113, USA.
J Am Chem Soc. 2008 Mar 26;130(12):3900-14. doi: 10.1021/ja0772041. Epub 2008 Mar 6.
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.
本文描述了片段跳跃,这是一种基于片段的全新从头设计抑制剂的方法,重点关注配体多样性和同工酶选择性。该方法的核心是推导每个药效团的最小药效学元件。在推导最小药效学元件时,会考虑配体结合位点和同工酶选择性位点。建立了五个通用库:基本片段库、生物电子等排体库、代谢稳定性规则库、毒理学基团库和侧链库。这些库用于生成聚焦片段库,以匹配每个药效团的最小药效学元件,然后将片段连接到所需分子上。该方法已成功应用于与中风和神经退行性疾病有关的神经元型一氧化氮合酶(nNOS)。从我们之前开发的含硝基精氨酸的二肽抑制剂开始,设计了一种化学结构完全不同的小分子有机化合物,它显示出纳摩尔级的nNOS抑制效力和超过1000倍的nNOS选择性。晶体学分析证实,具有受限构象的小分子有机化合物能够精确模拟二肽nNOS抑制剂的作用模式。因此,一种新的拟肽策略,即片段跳跃,通过基于药效团驱动的片段从头设计策略创建能够模拟肽生物功能的小分子有机化合物,已被确立为一种新型的基于片段的抑制剂设计方法。作为一个开放系统,新建立的方法有效地纳入了早期“ADME/Tox”考量的概念,并为药物化学驱动的研究提供了一个基础平台。