A Kinetic Scout Approach Accelerates Targeted Protein Degrader Development

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.

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Publication Details

Journal
Angewandte Chemie
Published
2024-11-27
DOI
https://doi.org/10.1002/ange.202417272
Primary Topic
Protein purification and stability
Type
article
Field-Weighted Citation Impact
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article

A Kinetic Scout Approach Accelerates Targeted Protein Degrader Development

Eric S. Fischer, Katherine A. Donovan, Andrew J. Tao, Fleur M. Ferguson et al.
Angewandte Chemie
Protein purification and stability
article

A Kinetic Scout Approach Accelerates Targeted Protein Degrader Development

Eric S. Fischer, Katherine A. Donovan, Andrew J. Tao, Fleur M. Ferguson, Logan H. Sigua, Hai‐Tsang Huang, William R. Sellers, Charu Chaudhry, Guy G. Poirier, Pavitra Goyal, Gillian E. Gadbois, Kara Dunne-Dombrink, Angela T. Fan, Sitong Wu, Jiewei Jiang, Emily R. Smith
article en

Abstract

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.

Angewandte ChemieVol. 137(5)
Broad Institute (US), Harvard University (US), Janssen (Belgium) (BE), University of San Diego (US), University of California San Diego (US), Springhouse (US), Johnson Research & Development (United States) (US), Dana-Farber Cancer Institute (US), University of California San Diego Medical Center (US), Global Cancer Institute (US), Johnson & Johnson (Israel) (IL), University of Montana (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 81%
Protein purification and stability
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