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An AI-integrated workflow maps the latent interactome of molecular glue degraders


ABSTRACT: Molecular glue degraders (MGDs) are a transformative modality in drug discovery. MGDs that work in concert with the E3 ligase CRL4CRBN can degrade a wide range of substrates with the help of specially tailored MGDs. To explore CRL4CRBN reprogrammability, we tested whether reported CRBN-MGD substrates are part of a network of latent CRBN interactors, detectable already with generic CRBN-MGDs. Leveraging highly parallel interaction measurements (GluePCA) between CRL4CRBN and the family of human zinc-fingers (ZFs), we identified ~210 ZFs pre-bound to CRBN-pomalidomide, with the top binders reported as degradable through specific MGDs. To map latent CRBN-MGDs interactions proteome-wide, and thus define the immediately accessible CRBN target space, we combined AI-derived protein surface queries (MaSIF-mimicry) with GluePCA. This pipeline allowed identifying 43 novel CRBN-pomalidomide binders, thereby providing privileged starting points for MGD development. We expect this binding-focused, highly parallel, workflow to be readily applicable to other MGD/E3 ligase systems.

ORGANISM(S): Saccharomyces cerevisiae

PROVIDER: GSE298800 | GEO | 2026/06/08

REPOSITORIES: GEO

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