Programmable Protein Stabilization with Language Model-Derived Peptide Guides

Published: 06 Mar 2025, Last Modified: 26 Apr 2025GEMEveryoneRevisionsBibTeXCC BY 4.0
Track: Biology: datasets and/or experimental results
Nature Biotechnology: No
Keywords: Protein stabilization, protein language models
TL;DR: duAbs link a language model-designed peptide to a deubiquitinase domain, enabling target binding and stabilization for conformationally diverse targets.
Abstract:

Dysregulated protein degradation via the ubiquitin-proteasomal pathway can induce numerous disease phenotypes, including cancer, neurodegeneration, and diabetes. While small molecule-based targeted protein degradation (TPD) and targeted protein stabilization (TPS) platforms can address this dysregulation, they rely on structured and stable binding pockets, which do not exist to classically “undruggable” targets. Here, we expand the TPS target space by engineering “deubiquibodies” (duAbs) via fusion of computationally-designed peptide binders to the catalytic domain of the potent OTUB1 deubiquitinase. In human cells, duAbs effectively stabilize exogenous and endogenous proteins in a DUB-dependent manner. Using protein language models to generate target-binding peptides, we engineer duAbs to conformationally diverse target proteins, including key tumor suppressor proteins p53 and WEE1, and heavily-disordered fusion oncoproteins, such as PAX3::FOXO1. We further encapsulate p53-targeting duAbs as mRNA in lipid nanoparticles and demonstrate effective intracellular delivery, p53 stabilization, and apoptosis activation, motivating further in vivo translation.

Anonymization: This submission has been anonymized for double-blind review via the removal of identifying information such as names, affiliations, and identifying URLs.
Presenter: Tian Zi Wang
Format: Yes, the presenting author will definitely attend in person because they attending ICLR for other complementary reasons.
Funding: No, the presenting author of this submission does *not* fall under ICLR’s funding aims, or has sufficient alternate funding.
Submission Number: 20
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