Suppr超能文献

强效双芳构酶-甾体硫酸酯酶抑制剂 2-溴-4-{[(4-氰基苯基)(4h-1,2,4-三唑-4-基)氨基]甲基}苯磺酰胺的双环衍生物:合成、SAR、晶体结构以及体外和体内活性。

Bicyclic derivatives of the potent dual aromatase-steroid sulfatase inhibitor 2-bromo-4-{[(4-cyanophenyl)(4h-1,2,4-triazol-4-yl)amino]methyl}phenylsulfamate: synthesis, SAR, crystal structure, and in vitro and in vivo activities.

机构信息

Department of Pharmacy and Pharmacology and Sterix Ltd. University of Bath, Claverton Down, Bath BA2 7AY, UK.

出版信息

ChemMedChem. 2010 Sep 3;5(9):1577-93. doi: 10.1002/cmdc.201000203.

Abstract

The design and synthesis of a series of bicyclic ring containing dual aromatase-sulfatase inhibitors (DASIs) based on the aromatase inhibitor (AI) 4-[(4-bromobenzyl)(4H-1,2,4-triazol-4-yl)amino]benzonitrile are reported. Biological evaluation with JEG-3 cells revealed structure-activity relationships. The X-ray crystal structure of sulfamate 23 was determined, and selected compounds were docked into the aromatase and steroid sulfatase (STS) crystal structures. In the sulfamate-containing series, compounds containing a naphthalene ring are both the most potent AI (39, IC(50 AROM)=0.25 nM) and the best STS inhibitor (31, IC(50 STS)=26 nM). The most promising DASI is 39 (IC(50 AROM)=0.25 nM, IC(50 STS)=205 nM), and this was evaluated orally in vivo at 10 mg kg(-1), showing potent inhibition of aromatase (93 %) and STS (93 %) after 3 h. Potent aromatase and STS inhibition can thus be achieved with a DASI containing a bicyclic ring system; development of such a DASI could provide an attractive new option for the treatment of hormone-dependent breast cancer.

摘要

报告了一系列基于芳香酶抑制剂(AI)4-[(4-溴苄基)(4H-1,2,4-三唑-4-基)氨基]苯甲腈的双环含环双重芳香酶-硫酸酯酶抑制剂(DASIs)的设计和合成。用 JEG-3 细胞进行的生物学评价揭示了构效关系。磺酰胺 23 的 X 射线晶体结构已确定,并将选定的化合物对接入芳香酶和甾体硫酸酯酶(STS)晶体结构中。在含有磺酰胺的系列中,含有萘环的化合物既是最强的 AI(39,IC(50AROM)=0.25 nM),也是最好的 STS 抑制剂(31,IC(50STS)=26 nM)。最有前途的 DASI 是 39(IC(50AROM)=0.25 nM,IC(50STS)=205 nM),并在 10 mg kg(-1)进行了体内口服评估,3 小时后显示出对芳香酶(93%)和 STS(93%)的强烈抑制作用。因此,含有双环系统的 DASI 可以实现强大的芳香酶和 STS 抑制作用;开发这种 DASI 可能为治疗激素依赖性乳腺癌提供一种有吸引力的新选择。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验