Roadmap for Optimizing and Broadening Antibody-Based PROTACs for Degradation of Cell Surface Proteins

泛素连接酶 蛋白酶体 表位 泛素 蛋白质降解 计算生物学 细胞生物学 抗体 靶蛋白 生物 生物化学 遗传学 基因
作者
Josef A. Gramespacher,Adam D. Cotton,Paul W. W. Burroughs,Ian B. Seiple,James A. Wells
出处
期刊:ACS Chemical Biology [American Chemical Society]
卷期号:17 (5): 1259-1268 被引量:94
标识
DOI:10.1021/acschembio.2c00185
摘要

Targeted protein degradation is a promising therapeutic strategy capable of overcoming the limitations of traditional occupancy-based inhibitors. By ablating all of the associated functions of a protein at once, the event-driven pharmacology of degrader technologies has recently enabled the targeting of proteins that have been historically deemed "undruggable". Most degradation strategies utilize the ubiquitin-proteasome system to mediate intracellular target degradation and are thus limited to targeting proteins with cytoplasmic domains. While some of these strategies, such as PROTACs, have shown great promise, there is a need for new modalities that can be applied to specifically target cell surface proteins. We previously described the development of an antibody-based PROTAC (AbTAC) that utilizes genetically encoded IgG bispecific antibody scaffolds to bring the cell surface E3-ligase RNF43 into the proximity of a membrane protein of interest (POI) to mediate its degradation. Here, we employ rational protein engineering strategies to interrogate and optimize the properties necessary for efficient degradation of two therapeutically important membrane proteins, PD-L1 and EGFR. We develop multiple antibodies to RNF43 and show that the specific antibody binding epitopes on RNF43 and the POI are more important than the affinities of the AbTAC antibodies. We further expand the available repertoire of E3 ligases by co-opting the E3-ligase ZNRF3 to degrade both PD-L1 and EGFR and show similar importance of epitope for degradation efficiency. Importantly, we show that both RNF43 and ZNRF3 AbTACs do not potentiate unwanted WNT signaling. Lastly, we find that these AbTACs can be even further improved by exploring various dual-binding and IgG scaffolds that range in flexibility, valency, and orientation of the binding arms. These structure-activity and mechanistic studies provide a roadmap for optimizing the development of AbTACs, thereby greatly expanding their utility for targeted cell surface protein degradation.
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
怡然依萱发布了新的文献求助10
刚刚
kknmj发布了新的文献求助10
刚刚
zcw发布了新的文献求助10
刚刚
刚刚
科研通AI6.2应助Never stall采纳,获得10
1秒前
懒羊羊的忠实粉丝完成签到,获得积分10
2秒前
2秒前
Akim应助穆雨采纳,获得10
2秒前
上官若男应助木辛艺采纳,获得10
2秒前
深情的灵寒完成签到,获得积分10
3秒前
cpl完成签到,获得积分20
4秒前
4秒前
ak发布了新的文献求助10
4秒前
4秒前
赘婿应助安静的棉花糖采纳,获得10
5秒前
ale应助什么猫采纳,获得10
5秒前
科研通AI6.2应助77采纳,获得10
7秒前
Mary洋完成签到,获得积分10
8秒前
雪白智宸发布了新的文献求助10
8秒前
一语初晴发布了新的文献求助10
8秒前
9秒前
9秒前
周周完成签到 ,获得积分20
9秒前
9秒前
小张吃不胖完成签到 ,获得积分10
9秒前
10秒前
lisuye1990完成签到,获得积分10
10秒前
隐形曼青应助科研通管家采纳,获得10
10秒前
田様应助科研通管家采纳,获得10
10秒前
Nole应助科研通管家采纳,获得10
10秒前
星辰大海应助科研通管家采纳,获得10
10秒前
明天不熬夜完成签到,获得积分20
11秒前
彭于晏应助科研通管家采纳,获得50
11秒前
11秒前
FashionBoy应助科研通管家采纳,获得10
11秒前
11秒前
天天快乐应助科研通管家采纳,获得10
11秒前
wp4605应助科研通管家采纳,获得20
11秒前
11秒前
11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
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7348613
求助须知:如何正确求助?哪些是违规求助? 8960796
关于积分的说明 19031348
捐赠科研通 6998945
什么是DOI,文献DOI怎么找? 3220530
关于科研通互助平台的介绍 2385346
邀请新用户注册赠送积分活动 2200758