Author

M. Exposit

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:protein design· 2 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Approach:transformer / foundation model· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

D. Baker· 2 shared D. Juergens· 2 shared J. L. Watson· 2 shared A. H.-W. Yeh· 1 shared A. N. Hoofnagle· 1 shared A. Saragovi· 1 shared D. Tischer· 1 shared E. Huang· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioengineering

D. Baker

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

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

Deep learning methods for designing proteins scaffolding functional sites

J. Wang, S. Lisanza, D. Juergens, D. Tischer, I. Anishchenko, M. Baek, J. L. Watson, J.-H. Chun, L. F. Milles, J. Dauparas, M. Exposit, W. Yang, A. Saragovi, S. Ovchinnikov, D. Baker

This paper introduces two deep learning methods for designing proteins with specific functional sites, showing they can generate diverse proteins with desired properties.

bioRxiv · Nov 10, 2021Biochemistry