Author

J. Y. Weinstein

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· 2

Signature Assays, Organisms & Methods

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Research Focus:protein design· 2 Organism:bacteria (other)· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

S. J. Fleishman· 2 shared A. Elazar· 1 shared C. M. G. Aldaravi· 1 shared D. Ivankov· 1 shared D. Liebermann· 1 shared D. Margulies· 1 shared D. McCandlish· 1 shared E. Petrovich-Kopitman· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBiochemistry

S. J. Fleishman

Mutual co-authors in cluster

Author profile →

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

A lipophilicity-based energy function for membrane-protein modelling and design

J. Y. Weinstein, A. Elazar, S. J. Fleishman

This paper introduces a lipophilicity-based energy function for membrane-protein modelling and design, showing improved performance in benchmarks compared to previous methods.

bioRxiv · Apr 25, 2019Biochemistry