Biophysical Modeling Elucidates Mechanistic Principles for Rational Molecular Glue Design

作者
Seokjoo Chae,Jonathon DeBonis,Joseph J. Quinlan,Ryan Richards,Junmin Wang,Gustavo Gutierrez,Jonathan Tart,Maxime Couturier,Sergio Martínez Cuesta,Meizhong Jin,Oleg A. Igoshin
标识
DOI:10.64898/2025.12.24.694639
摘要

Abstract Molecular glues are small molecules that offer a powerful strategy to target previously “undruggable” proteins of interest (POI) by enhancing their interactions with other proteins (effector). Depending on the nature of the effectors, molecular glues can induce stabilizing sequestration or degradation of POI. However, their rational design has been hindered by a poor understanding of how kinetic parameters impact their performance. To address this, we developed a unified mathematical framework that accurately analyzes the dynamics of both glue degraders and stabilizers. Our model reveals that the strong binding affinity of the ternary complex is the key determinant of performance across both modalities, provided that the initial component concentrations and degradation rate constants are fixed. Furthermore, we demonstrate that degrader performance is ultimately limited by its catalytic efficiency and the target protein’s natural half-life. We also identify distinct roles for effector abundance, showing that the relative concentrations of the effector and POI are critical for stabilizers but less so for degraders. This quantitative framework provides mechanistic principles for the rationale design and optimization of molecular glues.
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
刚刚
LiChu发布了新的文献求助10
刚刚
刚刚
yhltb完成签到 ,获得积分10
刚刚
1秒前
1秒前
研友_VZG7GZ应助小郭采纳,获得10
2秒前
2秒前
Eric完成签到,获得积分10
2秒前
科研通AI6.4应助单薄访琴采纳,获得10
2秒前
无花果应助xiaoxiao采纳,获得10
3秒前
3秒前
赫灵竹完成签到,获得积分10
3秒前
万能图书馆应助ZShui采纳,获得10
4秒前
小二郎应助怕黑明雪采纳,获得10
4秒前
4秒前
科研通AI6.2应助mangg采纳,获得10
5秒前
FashionBoy应助ldd采纳,获得10
5秒前
5秒前
陈雨行发布了新的文献求助10
6秒前
科研通AI6.2应助JJ采纳,获得10
6秒前
勤奋冬灵发布了新的文献求助10
6秒前
7秒前
SciGPT应助苏苏采纳,获得10
8秒前
渣渣XM发布了新的文献求助10
9秒前
杨锦完成签到,获得积分10
9秒前
10秒前
最溜皮大爷完成签到,获得积分10
10秒前
Ava应助知足常乐采纳,获得10
10秒前
执名之念发布了新的文献求助10
11秒前
沐雨完成签到,获得积分10
11秒前
慈祥的乐菱完成签到,获得积分10
11秒前
俩王四个二完成签到,获得积分20
13秒前
星辰大海应助科研通管家采纳,获得10
13秒前
13秒前
大个应助科研通管家采纳,获得10
13秒前
赘婿应助科研通管家采纳,获得10
13秒前
Ling梨TWO应助科研通管家采纳,获得10
13秒前
所所应助zzzzkkkk采纳,获得10
14秒前
脑洞疼应助科研通管家采纳,获得10
14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
Principles of town planning: translating concepts to applications 1000
2016 Venous Blood Study (VBS) (Final V3.0) 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 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 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 7704506
求助须知:如何正确求助?哪些是违规求助? 9262467
关于积分的说明 20037466
捐赠科研通 7280055
什么是DOI,文献DOI怎么找? 3294976
关于科研通互助平台的介绍 2450122
邀请新用户注册赠送积分活动 2301670