蛋白质组
计算生物学
工作流程
计算机科学
蛋白质组学
双功能
生化工程
化学
限制
组合化学
生物
生物化学
工程类
机械工程
数据库
基因
催化作用
作者
Angela T. Fan,Gillian E. Gadbois,Hai‐Tsang Huang,Charu Chaudhry,Jiewei Jiang,Logan H. Sigua,Emily R. Smith,Sitong Wu,Guy G. Poirier,Kara Dunne-Dombrink,Pavitra Goyal,Andrew J. Tao,William R. Sellers,Eric S. Fischer,Katherine A. Donovan,Fleur M. Ferguson
标识
DOI:10.1002/anie.202417272
摘要
Bifunctional molecules such as targeted protein degraders induce proximity to promote gain‐of‐function pharmacology. These powerful approaches have gained broad traction across academia and the pharmaceutical industry, leading to an intensive focus on strategies that can accelerate their identification and optimization. We and others have previously used chemical proteomics to map degradable target space, and these datasets have been used to develop and train multiparameter models to extend degradability predictions across the proteome. In this study, we now turn our attention to develop generalizable chemistry strategies to accelerate the development of new bifunctional degraders. We implement lysine‐targeted reversible‐covalent chemistry to rationally tune the binding kinetics at the protein‐of‐interest across a set of 25 targets. We define an unbiased workflow consisting of global proteomics analysis, IP/MS of ternary complexes and the E‐STUB assay, to mechanistically characterize the effects of ligand residence time on targeted protein degradation and formulate hypotheses about the rate‐limiting step of degradation for each target. Our key finding is that target residence time is a major determinant of degrader activity, and this can be rapidly and rationally tuned through the synthesis of a minimal number of analogues to accelerate early degrader discovery and optimization.
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