Author

N. Prywes

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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Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Research Focus:protein design· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

D. Ding· 2 shared A. Bhatt· 1 shared A. E. Cowan· 1 shared A. I. Flamholz· 1 shared A. Y. Shaw· 1 shared B. de Pins· 1 shared D. Bellieny-Rabelo· 1 shared D. F. Savage· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBiochemistry

D. Ding

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

A map of the rubisco biochemical landscape

N. Prywes, N. R. Phillips, L. M. Oltrogge, S. Lindner, Y.-C. Tsai, B. de Pins, A. E. Cowan, L. J. Taylor-Kearney, H. A. Chang, L. N. Hall, D. Bellieny-Rabelo, H. M. Nisonoff, R. F. Weissman, A. I. Flamholz, D. Ding, , D. F. Savage

The paper maps the sequence-to-function relationship of rubisco by assaying single amino acid mutants in E. coli, identifying conserved positions and mutations that improve CO2 affinity.

bioRxiv · Sep 27, 2023Biochemistry

Protein design using structure-based residue preferences

D. Ding, A. Y. Shaw, S. Sinai, N. J. Rollins, N. Prywes, D. Savage, M. T. Laub, D. S. Marks

This paper introduces a method to design functional proteins using residue preferences derived from structural data, showing high accuracy in predicting combinatorial mutation effects.

bioRxiv · Oct 31, 2022Bioengineering