Author

Sarah Evert

University of Wisconsin–MadisonORCID 0009-0000-5559-4748Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:bacteria (other)· 1 Organism:E. coli· 1 Research Focus:host-pathogen & immune response· 1 Research Focus:protein design· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

Phil HussiD· 2 shared Srivatsan RamaniD· 2 shared Dinesh Kumar Kuppa BaskaraniD· 1 shared Karthik AnantharamaniD· 1 shared Naia Novy· 1 shared Philip A. RomeroiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 11 mutual co-author links

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2 shared papersBiochemistry

Phil HussORCID

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2 papers

Recent·Most cited

BiochemistryScience AdvancesPeer-reviewedSep 11, 2026

Mapping Structural Constraints and Adaptive Potential in a Capsule-Degrading Phage Tailspike Protein

Sarah Evert, Phil Huss, Dinesh Kumar Kuppa Baskaran…·Srivatsan Raman

This study uses deep mutational scanning to analyze a phage tailspike protein, revealing structural constraints and adaptive flexibility that influence its function and host range.

1 citation

E. coliproteomics

𝕏 PostBluesky

Synthetic BiologyCell SystemsPeer-reviewedSep 1, 2026

Multiobjective learning and design of bacteriophage specificity

Naia Novy, Phil Huss, Sarah Evert…·Srivatsan Raman

This paper uses deep learning to design bacteriophage receptor binding proteins with multiobjective specificity, showing high tunability and success rates in targeting diverse strains.

3 citations

bacteria (other)protein sequence

𝕏 PostBluesky