Author

Kylie M. Konrath

The Wistar InstituteORCID 0000-0001-5222-782XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1 Research Focus:protein design· 1 Assay:protein structure· 1

Frequent Co-Authors

Amber KimiD· 1 shared Andrew NelsoniD· 1 shared Audrey R. Odom JohniD· 1 shared Colby J. AgostinoiD· 1 shared Daniel W. KulpiD· 1 shared Jesper PalleseniD· 1 shared Joyce H. ParkiD· 1 shared Kelly Bayruns· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBiophysics

Amber KimORCID

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1 paper

Recent·Most cited

BiophysicsProceedings of the National Academy of SciencesPeer-reviewedDec 3, 2025

Machine learning enables de novo multi-epitope design of plasmodium falciparum circumsporozoite protein to target trimeric L9 antibody

Andrew Nelson, Samuel E. Garfinkle, Zi Jie Lin…·Jesper Pallesen

The paper designs a multi-epitope immunogen for malaria using machine learning, demonstrating its ability to bind and orient three copies of the L9 antibody.

2 citations

plant (other)protein structure

𝕏 PostBluesky