Proteomics

Dataset Information

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A Kinetic Scout Approach Accelerates Targeted Protein Degrader Discovery


ABSTRACT: 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 efforts.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

SUBMITTER: Eric Fischer  

LAB HEAD: Eric Fischer

PROVIDER: PXD055399 | Pride | 2025-05-06

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
esf4_6479_Slot2-35_1_11836.d.zip Other
esf4_6480_Slot2-36_1_11837.d.zip Other
esf4_6481_Slot2-37_1_11838.d.zip Other
esf4_6482_Slot2-38_1_11839.d.zip Other
esf4_6483_Slot2-39_1_11841.d.zip Other
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Publications


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 degr  ...[more]

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