Suppr超能文献

基于 2,7-萘啶酮的 MET 激酶抑制剂:抗肿瘤药物开发有前景的新型骨架。

2,7-naphthyridinone-based MET kinase inhibitors: A promising novel scaffold for antitumor drug development.

机构信息

Key Laboratory of Pesticide & Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan, 430079, PR China.

Jiangsu Key Laboratory of Molecular Targeted Antitumor Drug Research, Jiangsu Simcere Pharmaceutical Co. Ltd, Nanjing, 210042, PR China.

出版信息

Eur J Med Chem. 2019 Sep 15;178:705-714. doi: 10.1016/j.ejmech.2019.06.033. Epub 2019 Jun 15.

Abstract

As part of our effort to develop new molecular targeted antitumor drug, a novel 2,7-naphthyridone-based MET kinase inhibitor, 8-((4-((2-amino-3-chloropyridin-4-yl)oxy)- 3-fluorophenyl)amino)-2-(4-fluorophenyl)-2,7-naphthyridin-1(2H)-one (13f), was identified. Knowledge of the binding mode of BMS-777607 in MET led to the design of new inhibitors that utilize novel 2,7-naphthyridone scaffold to conformationally restrain the key pharmacophoric groups (block C). Detailed SAR studies resulted in the discovery of a new MET inhibitor 13f, displaying favorable in vitro potency and oral bioavailability. More importantly, 13f exhibited excellent in vivo efficacy (tumor growth inhibition/TGI of 114% and 95% in 50 mg/kg, respectively) both in the U-87 MG and HT-29 xenograft models. The favorable drug-likeness of 13f indicated that 2,7-naphthyridinone may be used a promising novel scaffold for antitumor drug development. The preclinical studies of 13f are under way.

摘要

作为开发新型分子靶向抗肿瘤药物的努力的一部分,我们鉴定了一种新型的 2,7-萘啶酮基 MET 激酶抑制剂,8-((4-((2-氨基-3-氯吡啶-4-基)氧基)-3-氟苯基)氨基)-2-(4-氟苯基)-2,7-萘啶-1(2H)-酮(13f)。对 BMS-777607 在 MET 中的结合模式的了解导致了新抑制剂的设计,这些抑制剂利用新型 2,7-萘啶酮骨架来构象限制关键药效团(C 块)。详细的 SAR 研究发现了一种新的 MET 抑制剂 13f,显示出良好的体外活性和口服生物利用度。更重要的是,13f 在 U-87 MG 和 HT-29 异种移植模型中分别以 50mg/kg 的剂量表现出优异的体内疗效(肿瘤生长抑制/TGI 为 114%和 95%)。13f 的良好药物相似性表明,2,7-萘啶酮可能被用作抗肿瘤药物开发的有前途的新型骨架。13f 的临床前研究正在进行中。

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