Proteome-guided drug discovery maps and mitigates therapeutic degrader toxicity

Abstract Heterobifunctional targeted degraders (HBDs) enable potent removal of protein targets but their clinical success can be hindered by de novo toxicity inherent to their bivalent chemistry. Here we introduce a drug discovery framework that exploits high-throughput proteomics to map and mitigate toxicity mechanisms of emerging drug modalities. Exposing androgen receptor (AR)-negative cells to a library of experimental AR-HBDs indicated for treatment-resistant prostate cancer linked widespread proteomic responses to hepatotoxicity of phthalimide degraders. Machine learning trained on proteomes mapped the primary toxicity mechanism to inhibition of electron transport chain complex I and identified safer analogs where a minor modification in the linker region mitigated off-target engagement. Proteome-optimized degraders displayed decreased hepatotoxicity, enhanced specificity and antitumor activity against treatment-resistant prostate cancer xenografts. Our findings establish a versatile framework for developing safer medicines and highlight the transformative potential of proteome-guided drug discovery.

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Publication Details

Journal
Nature Chemical Biology
Published
2026-10-09
DOI
https://doi.org/10.1038/s41589-026-02347-2
Primary Topic
Protein Degradation and Inhibitors
Type
article
Field-Weighted Citation Impact
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article

Proteome-guided drug discovery maps and mitigates therapeutic degrader toxicity

Monica C. Rodrigo-Brenni, Spyros I. Vernardis, Sharan K. Bagal, Antonio Ramos‐Montoya et al.
Nature Chemical Biology
Protein Degradation and Inhibitors
article

Proteome-guided drug discovery maps and mitigates therapeutic degrader toxicity

Monica C. Rodrigo-Brenni, Spyros I. Vernardis, Sharan K. Bagal, Antonio Ramos‐Montoya, Jason Yu, Charlene Fallan, Camilla Ruffilli, Anja Freiwald, Claire Crafter, Matthew E. H. White, Michael Mülleder, Markus Ralser, Shaon Basu, Kévin Moreau, Oliver Lemke, Christoph B. Messner, Chrysiis Michaloglou, Jessica Bosak, Sophie Regan, Sascha Roth, Kenneth Pryde
article en

Abstract

Abstract Heterobifunctional targeted degraders (HBDs) enable potent removal of protein targets but their clinical success can be hindered by de novo toxicity inherent to their bivalent chemistry. Here we introduce a drug discovery framework that exploits high-throughput proteomics to map and mitigate toxicity mechanisms of emerging drug modalities. Exposing androgen receptor (AR)-negative cells to a library of experimental AR-HBDs indicated for treatment-resistant prostate cancer linked widespread proteomic responses to hepatotoxicity of phthalimide degraders. Machine learning trained on proteomes mapped the primary toxicity mechanism to inhibition of electron transport chain complex I and identified safer analogs where a minor modification in the linker region mitigated off-target engagement. Proteome-optimized degraders displayed decreased hepatotoxicity, enhanced specificity and antitumor activity against treatment-resistant prostate cancer xenografts. Our findings establish a versatile framework for developing safer medicines and highlight the transformative potential of proteome-guided drug discovery.

Nature Chemical Biology
AstraZeneca (United Kingdom) (GB), The Francis Crick Institute (GB), AstraZeneca (Singapore) (SG), Max Planck Institute for Molecular Genetics (DE), Charité - Universitätsmedizin Berlin (DE), MRC Mitochondrial Biology Unit (GB)
Openalex Percentile: Top 23%
Protein Degradation and Inhibitors
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