Suppr超能文献

2-(Benzimidazol-2-yl)quinoxalines: a novel class of selective antagonists at human A(1) and A(3) adenosine receptors designed by 3D database searching.

作者信息

Novellino Ettore, Cosimelli Barbara, Ehlardo Marina, Greco Giovanni, Iadanza Manuela, Lavecchia Antonio, Rimoli Maria Grazia, Sala Annalisa, Da Settimo Antonio, Primofiore Giampaolo, Da Settimo Federico, Taliani Sabrina, La Motta Concettina, Klotz Karl-Norbert, Tuscano Daniela, Trincavelli Maria Letizia, Martini Claudia

机构信息

Dipartimento di Chimica Farmaceutica e Tossicologica, Università di Napoli "Federico II", Via D. Montesano, 49, 80131 Napoli, Italy. novellin.unima.it

出版信息

J Med Chem. 2005 Dec 29;48(26):8253-60. doi: 10.1021/jm050792d.

Abstract

The Cambridge Structural Database (CSD) was searched through two 3D queries based on substructures shared by well-known antagonists at the A(1) and A(3) adenosine receptors (ARs). Among the resulting 557 hits found in the CSD, we selected five compounds to purchase, synthesize, or translate synthetically into analogues better tailored to interact with the biological targets. Binding experiments using human ARs showed that four out of five tested compounds turned out to be antagonists at the A(1)AR or A(3)AR with K(i) values between 50 and 440 nM. Lead optimizations of 2-(benzimidazol-2-yl)quinoxalines (BIQs, 3) gave the best results in terms of potency and selectivity at the A(1) and A(3) ARs. Particularly, 2-(4-ethylthiobenzimidazol-2-yl)quinoxaline (3e) exhibited K(i) values at the A(1)AR, A(2A)AR, and A(3)AR of 0.5, 3440, and 955 nM, respectively, whereas 2-(4-methylbenzimidazol-2-yl)quinoxaline (3b) displayed at the same ARs K(i) values of 8000, 833, and 26 nM, respectively.

摘要

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