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将5-羟色胺(6)受体配体作为潜在认知增强剂和抗肥胖药物的药物化学策略。

Medicinal chemistry strategies to 5-HT(6) receptor ligands as potential cognitive enhancers and antiobesity agents.

作者信息

Holenz Jörg, Pauwels Petrus J, Díaz José Luis, Mercè Ramon, Codony Xavier, Buschmann Helmut

机构信息

Laboratorios Dr. Esteve S.A., Av. Mare de Déu de Montserrat 221, E-08041 Barcelona, Spain.

出版信息

Drug Discov Today. 2006 Apr;11(7-8):283-99. doi: 10.1016/j.drudis.2006.02.004.

DOI:10.1016/j.drudis.2006.02.004
PMID:16580970
Abstract

Although the 5-hydroxytryptamine(6) (5-HT(6)) receptor was discovered only recently, its almost exclusive distribution in the brain makes it a promising, novel, target for central nervous system (CNS)-mediated diseases such as Alzheimer's disease (cognitive function), schizophrenia, anxiety and obesity. In the past few years a significant research interest has advanced the understanding of the functional roles and the pharmacophore requirements of this receptor. Two 5-HT(6) receptor antagonists have already entered Phase II clinical trials for the enhancement of cognitive function. Since the first discovery of selective ligands for the 5-HT(6) receptor by HTS in 1998, several medicinal-chemistry-driven approaches have delivered highly selective lead structures with well-defined functionalities, starting from either the endogenous ligand 5-HT or the chemical structures identified by HTS. The concept of 'scaffold hopping' has been employed to expand the variability of the available chemical scaffolds and to generate patentable ligands. Supported by pharmacophore models, which have been established recently, the binding and functionality (structure-activity relationships) of the lead structures have been optimized further.

摘要

尽管5-羟色胺(6)(5-HT(6))受体是最近才发现的,但其几乎只分布于大脑,这使其成为治疗中枢神经系统(CNS)介导疾病(如阿尔茨海默病(认知功能)、精神分裂症、焦虑症和肥胖症)的一个有前景的新型靶点。在过去几年中,大量的研究兴趣推动了对该受体功能作用和药效团要求的理解。两种5-HT(6)受体拮抗剂已进入增强认知功能的II期临床试验。自1998年通过高通量筛选(HTS)首次发现5-HT(6)受体的选择性配体以来,从内源性配体5-HT或HTS鉴定的化学结构出发,几种以药物化学为导向的方法已经产生了具有明确功能的高选择性先导结构。“骨架跃迁”的概念已被用于扩大可用化学骨架的多样性并生成可申请专利的配体。在最近建立的药效团模型的支持下,先导结构的结合和功能(构效关系)得到了进一步优化。

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