Chemical Proteomics Identifies RBBP7 as a New E3 Ligase Supporting Targeted Protein Degradation

泛素连接酶 化学 泛素 蛋白质降解 蛋白激酶B 蛋白质组 计算生物学 DNA连接酶 激酶 PI3K/AKT/mTOR通路 生物化学 磷酸化 生物 信号转导 基因
作者
Yue Liu,Tao Yang,Lei Huang,Shengrong Li,Tongzheng Liu,Yi Tan,Zhengqiu Li
出处
期刊:Angewandte Chemie [Wiley]
卷期号:64 (36): e202508538-e202508538 被引量:5
标识
DOI:10.1002/anie.202508538
摘要

Abstract Targeted protein degradation (TPD) has been recognized as a powerful therapeutic strategy for the treatment of a wide range of diseases. However, the application of existing degraders is constrained by their dependence on a limited number of E3 ubiquitin ligases, such as CRBN and VHL. To address this limitation, we developed a suite of novel small‐molecule degraders by integrating an ynamide electrophile into protein‐targeting ligands. These compounds demonstrated remarkable target degradation capability. Subsequent proteome profiling and functional validation revealed that Cys97 residue of retinoblastoma binding protein 7 (RBBP7) E3 ligase was covalently engaged and responsible for the degradation mechanism. Furthermore, the ynamide motif has proved to be a versatile and transplantable chemical handle, facilitating the development of degraders targeting a wide range of proteins, including CDK4, PDE5, PI3K, AKT, BCR‐ABL, BRD4, EGFR L858R , and EGFR L858R/T790M/C797S . Notably, incorporation of ynamide into the “pan‐kinase” inhibitor XO44 yielded degraders capable of simultaneously degrading various kinases, such as PI3K, Syk, AKT, and GSK‐3β, further highlighting the general feasibility of this approach. Importantly, the ynamide‐containing degraders demonstrated significantly enhanced anticancer potency compared to their parent inhibitors.
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
共享精神应助西装里袋采纳,获得10
1秒前
1秒前
1秒前
2秒前
2秒前
只如初发布了新的文献求助10
3秒前
3秒前
6秒前
7秒前
Barton完成签到,获得积分10
7秒前
7秒前
crazynail发布了新的文献求助10
7秒前
Lee_Ding_95发布了新的文献求助10
8秒前
9秒前
嘉吉发布了新的文献求助10
9秒前
大气世平发布了新的文献求助10
9秒前
科研通AI6.2应助扎心采纳,获得10
9秒前
微笑大螃蟹完成签到,获得积分10
9秒前
10秒前
ZZhou完成签到,获得积分20
11秒前
11秒前
Ra321发布了新的文献求助10
11秒前
坦率的马里奥完成签到 ,获得积分10
12秒前
13秒前
化学把我害惨了完成签到,获得积分10
13秒前
小样完成签到 ,获得积分10
14秒前
明明完成签到,获得积分10
14秒前
14秒前
阿航发布了新的文献求助10
14秒前
crazynail完成签到,获得积分10
17秒前
17秒前
霍师傅完成签到,获得积分10
17秒前
欣慰灰狼完成签到,获得积分10
18秒前
隐形曼青应助lliduoduo采纳,获得10
19秒前
传奇3应助戴明琪采纳,获得10
20秒前
多吃水果完成签到,获得积分10
21秒前
21秒前
22秒前
23秒前
24秒前
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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7631453
求助须知:如何正确求助?哪些是违规求助? 9205878
关于积分的说明 19742999
捐赠科研通 7200762
什么是DOI,文献DOI怎么找? 3274592
关于科研通互助平台的介绍 2436554
邀请新用户注册赠送积分活动 2271192