Suppr超能文献

作为抗癌药物的c-Jun氨基末端激酶抑制剂在设计、研究和开发方面的最新进展。

Recent progress in the design, study, and development of c-Jun N-terminal kinase inhibitors as anticancer agents.

作者信息

Messoussi Abdellah, Feneyrolles Clémence, Bros Aurélie, Deroide Arthur, Daydé-Cazals Bénédicte, Chevé Gwénaël, Van Hijfte Nathalie, Fauvel Bénédicte, Bougrin Khalid, Yasri Aziz

机构信息

OriBase Pharma, Cap Gamma, Parc Euromédecine, 34090 Montpellier, France; Laboratoire de Chimie des Plantes et de Synthèse Organique et Bioorganique, URAC23, Université Mohammed V-Agdal, Faculté des Sciences, B.P. 1014 Rabat, Morocco.

OriBase Pharma, Cap Gamma, Parc Euromédecine, 34090 Montpellier, France.

出版信息

Chem Biol. 2014 Nov 20;21(11):1433-43. doi: 10.1016/j.chembiol.2014.09.007. Epub 2014 Oct 16.

Abstract

The c-Jun N-terminal kinase (JNK) family, with its three members JNK1, JNK2, and JNK3, is a subfamily of mitogen-activated protein kinases. Involved in many aspects of cellular processes, JNK has been also associated with pathological states such as neurodegenerative diseases, inflammation, and cancers. In oncology, each isoform plays a distinct role depending on the context of the targeted tissue/organ, the tumor stage, and, most likely, the signaling pathway activated upstream. Consequently, the current challenge in finding new successful anti-JNK therapies is to design isoform-selective inhibitors of the JNKs. In this review, a particular focus is given to the JNK inhibitors that have been developed thus far when examining 3D structures of various JNK-inhibitor complexes. Using current data regarding structure-activity relationships and medicinal chemistry approaches, our objective is to provide a better understanding of the design and development of selective JNK inhibitors in the present and future.

摘要

c-Jun氨基末端激酶(JNK)家族由JNK1、JNK2和JNK3三个成员组成,是丝裂原活化蛋白激酶的一个亚家族。JNK参与细胞过程的多个方面,还与神经退行性疾病、炎症和癌症等病理状态有关。在肿瘤学中,每种异构体根据靶向组织/器官的背景、肿瘤阶段以及最有可能的上游激活信号通路发挥不同的作用。因此,寻找新的成功抗JNK疗法的当前挑战是设计JNK的异构体选择性抑制剂。在本综述中,在研究各种JNK-抑制剂复合物的三维结构时,特别关注了迄今为止已开发的JNK抑制剂。利用有关构效关系和药物化学方法的当前数据,我们的目标是更好地理解当前和未来选择性JNK抑制剂的设计与开发。

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