Author

David J. Hosfield

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Synthetic Biology· 1

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Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1 Approach:transformer / foundation model· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Adrian Lange· 1 shared Andrew L. FergusoniD· 1 shared Anthony Beardsworth CostaiD· 1 shared Claire M. BuchananiD· 1 shared Clayton M. DilksiD· 1 shared Emre Sevgen· 1 shared Jeff Mayer· 1 shared John Parker· 1 shared

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2025-2025 · peak 1/yr

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1 shared paperSynthetic Biology

Adrian Lange

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1 paper

Recent·Most cited

ProT-VAE: Protein Transformer Variational AutoEncoder for Functional Protein Design

Emre Sevgen, Joshua Moller, Adrian Lange, John Parker, Sean D. Quigley, Jeff Mayer, Poonam Srivastava, Sitaram Gayatri, David J. Hosfield, Clayton M. Dilks, Claire M. Buchanan, Thomas Speltz, Maria V. Korshunova, Micha Livne, Michelle L. Gill, , Andrew L. Ferguson

ProT-VAE designs functional proteins by learning sequence-function relationships using a transformer-based variational autoencoder, enabling conditional generation of novel sequences with high functionality.

Proceedings of the National Academy of Sciences · Oct 6, 2025Peer-reviewedSynthetic Biology