Author

C. A. Choe

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 1 Assay:multiome· 1 Research Focus:protein design· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

P. Huang· 2 shared A. M. Watkins· 1 shared D. S. Kim· 1 shared Eterna Massive Open Laboratory· 1 shared G. R. Bowman· 1 shared H. K. Wayment-Steele· 1 shared I. S. Khalek· 1 shared J. G. Jardine· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBiochemistry

P. Huang

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Author profile →

2 papers

Recent·Most cited

Deep Generative Design of Epitope-Specific Binding Proteins by Latent Conformation Optimization

R. R. Eguchi, C. A. Choe, U. Parekh, I. S. Khalek, M. D. Ward, N. Vithani, G. R. Bowman, J. G. Jardine, P. Huang

This paper introduces Sculptor, a deep generative algorithm for designing epitope-specific binding proteins by optimizing loop conformations and backbone structures.

bioRxiv · Dec 22, 2022 · PreprintBiochemistry

Theoretical basis for stabilizing messenger RNA through secondary structure design

H. K. Wayment-Steele, D. S. Kim, C. A. Choe, J. J. Nicol, R. Wellington-Oguri, A. M. Watkins, R. A. Parra Sparberg, P. Huang, Eterna Massive Open Laboratory, R. Das

This paper develops a biophysical model to predict RNA stability and demonstrates that superfolder mRNAs can increase in vitro half-life by at least two-fold through AUP optimization.

bioRxiv · Aug 22, 2020Biophysics