Rational optimization of a transcription factor activation domain inhibitor

Author:

Basu ShaonORCID,Martínez-Cristóbal PaulaORCID,Frigolé-Vivas Marta,Pesarrodona Mireia,Lewis Michael,Szulc Elzbieta,Bañuelos C. Adriana,Sánchez-Zarzalejo CarolinaORCID,Bielskutė Stasė,Zhu Jiaqi,Pombo-García KarinaORCID,Garcia-Cabau CarlaORCID,Zodi Levente,Dockx Hannes,Smak Jordann,Kaur HarpreetORCID,Batlle Cristina,Mateos BorjaORCID,Biesaga MateuszORCID,Escobedo AlbertORCID,Bardia Lídia,Verdaguer Xavier,Ruffoni AlessandroORCID,Mawji Nasrin R.,Wang Jun,Obst Jon K.,Tam Teresa,Brun-Heath IsabelleORCID,Ventura SalvadorORCID,Meierhofer DavidORCID,García JesúsORCID,Robustelli PaulORCID,Stracker Travis H.ORCID,Sadar Marianne D.ORCID,Riera AntoniORCID,Hnisz DenesORCID,Salvatella XavierORCID

Abstract

AbstractTranscription factors are among the most attractive therapeutic targets but are considered largely ‘undruggable’ in part due to the intrinsically disordered nature of their activation domains. Here we show that the aromatic character of the activation domain of the androgen receptor, a therapeutic target for castration-resistant prostate cancer, is key for its activity as transcription factor, allowing it to translocate to the nucleus and partition into transcriptional condensates upon activation by androgens. On the basis of our understanding of the interactions stabilizing such condensates and of the structure that the domain adopts upon condensation, we optimized the structure of a small-molecule inhibitor previously identified by phenotypic screening. The optimized compounds had more affinity for their target, inhibited androgen-receptor-dependent transcriptional programs, and had an antitumorigenic effect in models of castration-resistant prostate cancer in cells and in vivo. These results suggest that it is possible to rationally optimize, and potentially even to design, small molecules that target the activation domains of oncogenic transcription factors.

Publisher

Springer Science and Business Media LLC

Subject

Molecular Biology,Structural Biology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3