Author

Chelsea Shu

Harvard UniversityORCID 0000-0002-0463-1809Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Boning ZhangiD· 1 shared Collin J. TokheimiD· 1 shared Dian LiiD· 1 shared Eric S. FischeriD· 1 shared Jiaye CheniD· 1 shared Katherine A. DonovaniD· 1 shared Shengqing Stan GuiD· 1 shared Shourya S. Roy BurmaniD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Boning ZhangORCID

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Author profile →

1 paper

Recent·Most cited

Machine learning modeling of protein-intrinsic features predicts tractability of targeted protein degradation

Wubing Zhang, Shourya S. Roy Burman, Jiaye Chen, Katherine A. Donovan, Yang Cao, Chelsea Shu, Boning Zhang, Zexian Zeng, Shengqing Stan Gu, Yi Zhang, Dian Li, Eric S. Fischer, Collin J. Tokheim, X. Shirley Liu

The paper develops a machine learning model to predict protein degradability for targeted protein degradation, identifying key features and extending predictions to the proteome.

Genomics Proteomics & Bioinformatics · Oct 1, 2022Peer-reviewedBioinformatics