Quantitative Measurement of Rate of Targeted Protein Degradation

降级(电信) 蛋白质降解 计算生物学 化学 生物 生物化学 计算机科学 电信
作者
Thomas L. Lynch,Violeta L. Marin,Ryan A. McClure,Colin Phipps,J.A. Ronau,Milad Rouhimoghadam,Ashley M. Adams,Soumya Kandi,Malerie L. Wolke,Andrea G. Shergalis,Gregory K. Potts,Omprakash Nacham,Paul L. Richardson,Stephan J. Kakavas,G. Chhor,Gary J. Jenkins,Kevin R. Woller,Scott E. Warder,Anil Vasudevan,Justin M. Reitsma
出处
期刊:ACS Chemical Biology [American Chemical Society]
卷期号:19 (7): 1604-1615 被引量:7
标识
DOI:10.1021/acschembio.4c00262
摘要

Targeted protein degradation (TPD) is a therapeutic approach that leverages the cell's natural machinery to degrade targets instead of inhibiting them. This is accomplished by using mono- or bifunctional small molecules designed to induce the proximity of target proteins and E3 ubiquitin ligases, leading to ubiquitination and subsequent proteasome-dependent degradation of the target. One of the most significant attributes of the TPD approach is its proposed catalytic mechanism of action, which permits substoichiometric exposure to achieve the desired pharmacological effects. However, apart from one in vitro study, studies supporting the catalytic mechanism of degraders are largely inferred based on potency. A more comprehensive understanding of the degrader catalytic mechanism of action can help aspects of compound development. To address this knowledge gap, we developed a workflow for the quantitative measurement of the catalytic rate of degraders in cells. Comparing a selective and promiscuous BTK degrader, we demonstrate that both compounds function as efficient catalysts of BTK degradation, with the promiscuous degrader exhibiting faster rates due to its ability to induce more favorable ternary complexes. By leveraging computational modeling, we show that the catalytic rate is highly dynamic as the target is depleted from cells. Further investigation of the promiscuous kinase degrader revealed that the catalytic rate is a better predictor of optimal degrader activity toward a specific target compared to degradation magnitude alone. In summary, we present a versatile method for mapping the catalytic activity of any degrader for TPD in cells.

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
佳银完成签到,获得积分10
1秒前
Twonej应助neckerzhu采纳,获得30
1秒前
无极微光应助我要瘦采纳,获得20
2秒前
冬虫夏草完成签到,获得积分10
2秒前
赫尔海发布了新的文献求助10
2秒前
3秒前
斯文败类应助科研通管家采纳,获得10
3秒前
汉堡包应助科研通管家采纳,获得10
3秒前
SciGPT应助科研通管家采纳,获得10
3秒前
充电宝应助科研通管家采纳,获得10
3秒前
Lucas应助科研通管家采纳,获得10
3秒前
Twonej应助科研通管家采纳,获得30
3秒前
完美世界应助科研通管家采纳,获得10
3秒前
彭于晏应助科研通管家采纳,获得10
3秒前
goldenfleece完成签到,获得积分10
3秒前
爆米花应助科研通管家采纳,获得10
3秒前
zhonglv7应助科研通管家采纳,获得10
3秒前
4秒前
KDVBHGJDFHGAV应助科研通管家采纳,获得10
4秒前
4秒前
aeiou完成签到,获得积分10
4秒前
Twonej应助科研通管家采纳,获得30
4秒前
天天快乐应助科研通管家采纳,获得10
4秒前
海蓝云天应助科研通管家采纳,获得10
4秒前
pluto应助科研通管家采纳,获得10
4秒前
一一一应助l玖采纳,获得10
4秒前
无极微光应助科研通管家采纳,获得20
4秒前
金锐发布了新的文献求助30
4秒前
SciGPT应助科研通管家采纳,获得30
4秒前
冬虫夏草发布了新的文献求助10
4秒前
科目三应助科研通管家采纳,获得10
4秒前
含蓄含烟完成签到,获得积分10
4秒前
KDVBHGJDFHGAV应助科研通管家采纳,获得10
4秒前
4秒前
爆米花应助科研通管家采纳,获得10
4秒前
Savior应助科研通管家采纳,获得10
4秒前
pluto应助科研通管家采纳,获得10
4秒前
5秒前
5秒前
5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
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Contemporary Debates in Epistemology (3rd Edition) 1000
International Arbitration Law and Practice 1000
文献PREDICTION EQUATIONS FOR SHIPS' TURNING CIRCLES或期刊Transactions of the North East Coast Institution of Engineers and Shipbuilders第95卷 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6159794
求助须知:如何正确求助?哪些是违规求助? 7987960
关于积分的说明 16602496
捐赠科研通 5268201
什么是DOI,文献DOI怎么找? 2810869
邀请新用户注册赠送积分活动 1791001
关于科研通互助平台的介绍 1658101