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Programmable protein stabilization with language model-derived peptide guides.

Publication ,  Journal Article
Hong, L; Ye, T; Wang, TZ; Srijay, D; Liu, H; Zhao, L; Watson, R; Vincoff, S; Chen, T; Kholina, K; Goel, S; DeLisa, MP; Chatterjee, P
Published in: Nature communications
April 2025

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.

Duke Scholars

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Published In

Nature communications

DOI

EISSN

2041-1723

ISSN

2041-1723

Publication Date

April 2025

Volume

16

Issue

1

Start / End Page

3555

Related Subject Headings

  • Tumor Suppressor Protein p53
  • Proteolysis
  • Protein-Tyrosine Kinases
  • Protein Stability
  • Protein Engineering
  • Peptides
  • Nanoparticles
  • Humans
  • Forkhead Box Protein O1
  • Deubiquitinating Enzymes
 

Citation

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Hong, L., Ye, T., Wang, T. Z., Srijay, D., Liu, H., Zhao, L., … Chatterjee, P. (2025). Programmable protein stabilization with language model-derived peptide guides. Nature Communications, 16(1), 3555. https://doi.org/10.1038/s41467-025-58872-6
Hong, Lauren, Tianzheng Ye, Tian Z. Wang, Divya Srijay, Howard Liu, Lin Zhao, Rio Watson, et al. “Programmable protein stabilization with language model-derived peptide guides.Nature Communications 16, no. 1 (April 2025): 3555. https://doi.org/10.1038/s41467-025-58872-6.
Hong L, Ye T, Wang TZ, Srijay D, Liu H, Zhao L, et al. Programmable protein stabilization with language model-derived peptide guides. Nature communications. 2025 Apr;16(1):3555.
Hong, Lauren, et al. “Programmable protein stabilization with language model-derived peptide guides.Nature Communications, vol. 16, no. 1, Apr. 2025, p. 3555. Epmc, doi:10.1038/s41467-025-58872-6.
Hong L, Ye T, Wang TZ, Srijay D, Liu H, Zhao L, Watson R, Vincoff S, Chen T, Kholina K, Goel S, DeLisa MP, Chatterjee P. Programmable protein stabilization with language model-derived peptide guides. Nature communications. 2025 Apr;16(1):3555.

Published In

Nature communications

DOI

EISSN

2041-1723

ISSN

2041-1723

Publication Date

April 2025

Volume

16

Issue

1

Start / End Page

3555

Related Subject Headings

  • Tumor Suppressor Protein p53
  • Proteolysis
  • Protein-Tyrosine Kinases
  • Protein Stability
  • Protein Engineering
  • Peptides
  • Nanoparticles
  • Humans
  • Forkhead Box Protein O1
  • Deubiquitinating Enzymes