Author

Kenneth A. Crawford

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:E. coli· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Abigail B. VenturaiD· 1 shared Anand V. SastryiD· 1 shared Andrea K. SteigeriD· 1 shared Anneliese J. MorrisoniD· 1 shared Christa Kohnert· 1 shared David A. ConstantiD· 1 shared David A. Spencer· 1 shared Gregory HannumiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSynthetic Biology

Abigail B. VenturaORCID

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1 paper

Recent·Most cited

Deep learning-based codon optimization with large-scale synonymous variant datasets enables generalized tunable protein expression

David A. Constant, Jahir M. Gutierrez, Anand V. Sastry, Rebecca Viazzo, Nicholas R. Smith, Jubair Hossain, David A. Spencer, Hayley Carter, Abigail B. Ventura, Michael T. M. Louie, Christa Kohnert, Rebecca Consbruck, Joshua Bennett, Kenneth A. Crawford, John M. Sutton, , Miles W. Gander

The paper develops deep learning models trained on synonymous variant datasets to predict and optimize protein expression in E. coli.

bioRxiv · Feb 11, 2023 · PreprintSynthetic Biology