Author

Lucia C. Strader

Salk Institute, La Jolla, CA;Primary ORCID profile (0000-0002-7600-7204 · 5 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Lucia C. StraderiD5 papers · Salk Institute for Biological Studies

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Synthetic Biology· 1

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Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Organism:yeast· 1

Frequent Co-Authors

Aditya Udupa· 1 shared Angelica W. Y. Lam· 1 shared Claire J. LeBlanc· 1 shared Daniel Aguilera· 1 shared Gean Hu· 1 shared Izaiah Ornelas· 1 shared James K. Nunez· 1 shared Liam D. KirkpatrickiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSynthetic Biology

Aditya Udupa

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1 paper

Recent·Most cited

Machine learning guided design of strong transcriptional activation domains

Marissa A. Zintel, Claire J. LeBlanc, Sanjana R. Kotha, Melvin Soriano, Rishaan J. Bansal, Daniel Aguilera, Touss Majidi, Izaiah Ornelas, Liam D. Kirkpatrick, Aditya Udupa, Gean Hu, Pooja Agarwal, Angelica W. Y. Lam, James K. Nunez, Patrick M. Shih, , Max V. Staller

The paper designs functional transcriptional activation domains using machine learning and experimental validation, finding that over 90% of predicted sequences work in yeast.

bioRxiv · Nov 2, 2026 · PreprintSynthetic Biology