Author

S. Y. Hoch

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:machine learning (classical)· 2 Research Focus:protein design· 2 Assay:protein sequence· 1 Assay:protein structure· 1

Frequent Co-Authors

R. Lipsh-Sokolik· 2 shared S. J. Fleishman· 2 shared C. de Boer· 1 shared C. M. G. Aldaravi· 1 shared D. Ivankov· 1 shared D. Liebermann· 1 shared D. Margulies· 1 shared D. McCandlish· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBiochemistry

R. Lipsh-Sokolik

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2 papers

Recent·Most cited

Designed active-site library reveals thousands of functional GFP variants

J. Y. Weinstein, C. M. G. Aldaravi, R. Lipsh-Sokolik, S. Y. Hoch, D. Liebermann, R. Nevo, H. Weissman, E. Petrovich-Kopitman, D. Margulies, D. Ivankov, D. McCandlish, S. J. Fleishman

The paper designs a library of functional GFP variants using a machine-learning approach, recovering over 16,000 unique sequences with improved thermostability and fluorescence properties.

bioRxiv · Oct 11, 2022 · PreprintBiochemistry

Combinatorial assembly and design of enzymes

R. Lipsh-Sokolik, O. Khersonsky, S. P. Schroder, C. de Boer, S. Y. Hoch, G. J. Davies, H. S. Overkleeft, S. J. Fleishman

The paper introduces CADENZ, a machine-learning strategy for designing structurally diverse enzymes, achieving a tenfold improved hit rate and over 10,000 active enzymes.

bioRxiv · Sep 17, 2022Bioengineering