Researchers created a discovery pipeline to systematically identify cereblon-directed molecular glue degrader neo-substrates and reveal the structural determinants of targeted degradation, Nature Biotechnology reported on August 17, 2026.
Molecular glue degraders induce the breakdown of non-native protein substrates through the CRL4CRBN E3 ubiquitin ligase system. Historical discovery efforts for these molecules relied primarily on serendipity, while the precise biochemical rules governing target selection remained poorly understood. The platform addresses these limitations by profiling cereblon (CRBN) interactions and identifying the specific structural features required for degrader-mediated activity.
The publication outlines research by P. Galli and colleagues focusing on proteome-wide identification of the druggable CRBN interactome. The study contextualizes earlier research by Z. Kozicka and N. Thomä on how molecular glues reprogram E3 ubiquitin ligases, as well as 2025 findings by G. Petzold and colleagues detailing target motifs at the CRBN interface. It also references computational biology tools, including deepPCA for measuring physical interaction landscapes and the MaSIF geometric deep learning framework for deciphering protein surface fingerprints. In addition, the paper cites machine learning methods designed to predict de novo protein-protein interactions lacking precedent in nature.
Springer Nature issued the peer-reviewed report under DOI 10.1038/s41587-026-03256-4. The publisher set individual article PDF download pricing at $39.95. Readers accessing content through a 30-day Nature+ digital subscription pay $32.99, while an annual subscription comprising 12 print issues and digital access costs $259.00.
