Author

A. H.-W. Yeh

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 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:protein structure· 2 Organism:human· 1 Research Focus:protein design· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

D. Baker· 2 shared G. R. Lee· 2 shared A. Bera· 1 shared A. Kang· 1 shared A. N. Hoofnagle· 1 shared B. Coventry· 1 shared C. Norn· 1 shared D. Juergens· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBiochemistry

D. Baker

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Author profile →

2 papers

Recent·Most cited

Small-molecule binding and sensing with a designed protein family

G. R. Lee, S. J. Pellock, C. Norn, D. Tischer, J. Dauparas, I. Anishchenko, J. A. M. Mercer, A. Kang, A. Bera, H. Nguyen, I. Goreshnik, D. Vafeados, N. Roullier, H. L. Han, B. Coventry, , D. Baker

This paper designs a protein family that binds and senses small molecules using deep learning and physics-based methods, achieving nanomolar sensitivity for cortisol.

bioRxiv · Nov 1, 2023Biochemistry

De novo design of high-affinity protein binders to bioactive helical peptides

S. Vazquez Torres, P. J. Y. Leung, I. D. Lutz, P. Venkatesh, J. L. Watson, F. Hink, H.-H. Huynh, A. H.-W. Yeh, D. Juergens, N. R. Bennett, A. N. Hoofnagle, E. Huang, M. J. MacCoss, M. Exposit, G. R. Lee, , D. Baker

This paper designs high-affinity protein binders for bioactive helical peptides using deep learning and generative models, achieving picomolar affinity without experimental optimization.

bioRxiv · Dec 10, 2022 · PreprintBioengineering