Author

Adrian Lange

Primary ORCID profile (0009-0007-3667-3898 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Adrian LangeiD2 papers · Max Planck Institute for Neurobiology of Behavior – caesar

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Synthetic Biology· 1

Signature Assays, Organisms & Methods

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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

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

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSynthetic Biology

Andrew L. FergusonORCID

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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