Context Matters: E3 Ligase-Ligand Pairing Strategies for Optimized PROTAC Performance

作者
Li Yin,Pengcheng Shu,Xiaozhong Peng
出处
期刊:Protein & Cell [Springer Nature]
标识
DOI:10.1093/procel/pwaf107
摘要

Abstract PROTACs (proteolysis targeting chimeras) offer a revolutionary strategy to degrade proteins previously considered “undruggable.” While the importance of the target protein ligand and linker is well-established, the strategic selection of an E3 ubiquitin ligase and its corresponding ligand is an equally critical but underexplored determinant of PROTAC efficacy and selectivity. This perspective systematically analyzes how E3 ligase-ligand pairing dictates degradation outcomes across diverse biological contexts. Our analysis, incorporating head-to-head comparisons, demonstrates that no single E3 ligand is universally superior. Instead, degradation efficiency is profoundly modulated by ternary complex cooperativity, cell-type specificity, and tissue distribution. CRBN-based degraders frequently excel in hematologic malignancies, while VHL-based PROTACs show advantages in certain solid tumors. We further highlight emerging E3 ligands (e.g., from IAP, DCAF families) as promising tools to overcome resistance and expand the degradable proteome. The perspective also explores innovative frontiers, including the potential for targeting non-protein substrates and the application of PROTACs as versatile chemical knockdown tools in research. Ultimately, this paper underscores the central paradigm that “context dictates strategy” in E3 ligase selection, providing a critical framework for optimizing PROTAC design and broadening their therapeutic and research applications.

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
sfliufighting发布了新的文献求助10
刚刚
zcx完成签到,获得积分10
1秒前
无花果应助沉默的早晨采纳,获得10
2秒前
淡然盈完成签到,获得积分10
2秒前
sobergod完成签到 ,获得积分10
4秒前
4秒前
量子星尘发布了新的文献求助10
5秒前
科目三应助yuhan采纳,获得10
8秒前
qfk发布了新的文献求助30
9秒前
苹果亦巧发布了新的文献求助10
10秒前
曾经的听云完成签到 ,获得积分10
11秒前
sxh完成签到,获得积分10
12秒前
13秒前
陈小瑜完成签到,获得积分10
13秒前
冰冰完成签到,获得积分10
14秒前
14秒前
共享精神应助夹谷蕈采纳,获得10
15秒前
有求必_应完成签到,获得积分10
17秒前
彭于晏应助www采纳,获得10
18秒前
yuhan发布了新的文献求助10
19秒前
酷波er应助DC采纳,获得10
21秒前
英俊的铭应助kk采纳,获得10
24秒前
饼饼完成签到,获得积分10
24秒前
24秒前
25秒前
NexusExplorer应助现代代桃采纳,获得10
25秒前
量子星尘发布了新的文献求助10
25秒前
26秒前
Hello应助不解其中味采纳,获得10
27秒前
英姑应助云上人采纳,获得10
27秒前
田様应助有求必_应采纳,获得10
28秒前
量子星尘发布了新的文献求助10
29秒前
29秒前
太阳发布了新的文献求助10
29秒前
30秒前
Orange应助自然的翠容采纳,获得10
30秒前
30秒前
32秒前
nessa完成签到,获得积分10
32秒前
32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
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5713487
求助须知:如何正确求助?哪些是违规求助? 5215699
关于积分的说明 15270963
捐赠科研通 4865238
什么是DOI,文献DOI怎么找? 2611937
邀请新用户注册赠送积分活动 1562134
关于科研通互助平台的介绍 1519378