亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Paradoxical androgen receptor regulation by small molecule enantiomers

兴奋剂 雄激素受体 部分激动剂 小分子 敌手 化学 生物信息学 受体 配体(生物化学) 药理学 生物 立体化学 前列腺癌 生物化学 遗传学 癌症 基因
作者
Katherin Patsch,Chao Liu,Grzegorz Zapotoczny,Yuanye Sun,Harish Sura,Nolan Ung,Ren Sun,Bethany Haliday,Chen Yu,Mayada Aljehani,Jerry Lee,B. A. Kashemirov,David B. Agus,Charles E. McKenna,Daniel Ruderman
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [National Academy of Sciences]
卷期号:118 (12) 被引量:3
标识
DOI:10.1073/pnas.2100918118
摘要

Small molecules that target the androgen receptor (AR) are the mainstay of therapy for lethal castration-resistant prostate cancer (CRPC), yet existing drugs lose their efficacy during continued treatment. This evolution of resistance is due to heterogenous mechanisms which include AR mutations causing the identical drug to activate instead of inhibit the receptor. Understanding in molecular detail the paradoxical phenomenon wherein an AR antagonist is transformed into an agonist by structural mutations in the target receptor is thus of paramount importance. Herein, we describe a reciprocal paradox: opposing antagonist and agonist AR regulation determined uniquely by enantiomeric forms of the same drug structure. The antiandrogen BMS-641988, which has ( R )-chirality at C-5 encompasses a previously uncharacterized ( S )-stereoisomer that is, surprisingly, a potent agonist of AR, as demonstrated by transcriptional assays supported by cell imaging studies. This duality was reproduced in a series of novel compounds derived from the BMS-641988 scaffold. Coupled with in silico modeling studies, the results inform an AR model that explains the switch from potent antagonist to high-affinity agonist in terms of C-5 substituent steric interactions with helix 12 of the ligand binding site. They imply strategies to overcome AR drug resistance and demonstrate that insufficient enantiopurity in this class of AR antagonist can confound efforts to correlate structure with function.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
8秒前
11秒前
日暮寒星完成签到,获得积分20
12秒前
浪里白条发布了新的文献求助10
14秒前
dagger完成签到,获得积分20
16秒前
上官若男应助丿丶恒采纳,获得80
17秒前
dagger发布了新的文献求助10
19秒前
23秒前
专注绝悟发布了新的文献求助10
25秒前
浪里白条完成签到,获得积分10
27秒前
彭于晏应助xwz626采纳,获得10
29秒前
无极微光应助科研通管家采纳,获得20
31秒前
CodeCraft应助科研通管家采纳,获得10
31秒前
32秒前
32秒前
mu发布了新的文献求助10
34秒前
天天快乐应助Atopos采纳,获得10
35秒前
粥粥完成签到,获得积分10
36秒前
共享精神应助浮浮世世采纳,获得10
36秒前
xiaoqi666完成签到 ,获得积分10
39秒前
粥粥发布了新的文献求助20
42秒前
43秒前
49秒前
Atopos发布了新的文献求助10
49秒前
55秒前
56秒前
xiaoxinbaba发布了新的文献求助10
1分钟前
1分钟前
慕青应助hushus采纳,获得10
1分钟前
1分钟前
xiaoxinbaba完成签到,获得积分10
1分钟前
1分钟前
1分钟前
1分钟前
如初完成签到,获得积分10
1分钟前
1分钟前
1分钟前
华仔应助ZZ采纳,获得10
1分钟前
饿哭了塞完成签到,获得积分10
1分钟前
如初发布了新的文献求助10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6366657
求助须知:如何正确求助?哪些是违规求助? 8180532
关于积分的说明 17246222
捐赠科研通 5421435
什么是DOI,文献DOI怎么找? 2868450
邀请新用户注册赠送积分活动 1845554
关于科研通互助平台的介绍 1693078