Machine Learning Modeling of Protein-intrinsic Features Predicts Tractability of Targeted Protein Degradation

Targeted protein degradation (TPD) has rapidly emerged as a therapeutic modality to eliminate previously undruggable proteins by repurposing the cell’s endogenous protein degradation machinery. However, the susceptibility of proteins for targeting by TPD approaches, termed “degradability”, is largel...

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Detalhes bibliográficos

Principais autores:	Wubing Zhang, Shourya S. Roy Burman, Jiaye Chen, Katherine A. Donovan, Yang Cao, Chelsea Shu, Boning Zhang, Zexian Zeng, Shengqing Gu, Yi Zhang, Dian Li, Eric S. Fischer, Collin Tokheim, X. Shirley Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Oxford University Press 2022-10-01
coleção:	Genomics, Proteomics & Bioinformatics
Assuntos:	Targeted protein degradation Degradability Protein-intrinsic feature Ubiquitination Machine learning
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1672022922001498
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