Author

Tom D. Curtis

Johns Hopkins University Applied Physics Laboratory

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Synthetic Biology· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein sequence· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

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Arturo CasadevalliD· 1 shared Daniel BermaniD· 1 shared Daniel F. Q. SmithiD· 1 shared Elizabeth A. LewisiD· 1 shared Laura J. DunphyiD· 1 shared Olivia N. TiburziiD· 1 shared

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2026-2026 · peak 1/yr

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Arturo CasadevallORCID

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Recent·Most cited

Synthetic BiologyPLoS Computational BiologyPeer-reviewedJun 15, 2026

Fung-AI: An AI/ML-driven pipeline for antifungal peptide discovery

Daniel Berman, Elizabeth A. Lewis, Tom D. Curtis…·Laura J. Dunphy

The paper presents a generative AI pipeline for discovering antifungal peptides, identifying five with activity against fungal pathogens and low cytotoxicity.

5 citationstop 1%

protein sequencedeep learning

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