Author

Laura Engist

University of Basel

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Andrew Mark WaterhouseiD· 1 shared Florian PommereningiD· 1 shared Gabriel StuderiD· 1 shared Gerardo TaurielloiD· 1 shared Ieva PudžiuvelytėiD· 1 shared Janani DurairajiD· 1 shared Lorenzo PantoliniiD· 1 shared Martin SteineggeriD· 1 shared

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2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Andrew Mark WaterhouseORCID

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1 paper

Recent·Most cited

Rewriting protein alphabets with language models

Lorenzo Pantolini, Gabriel Studer, Laura Engist, Ieva Pudžiuvelytė, Florian Pommerening, Andrew Mark Waterhouse, Stefan Bienert, Gerardo Tauriello, Martin Steinegger, Torsten F. Schwede, Janani Durairaj

This paper introduces a new 20-letter alphabet, TEA, derived from protein language models, enabling efficient homology searches comparable to structure-based methods without structural data.

bioRxiv · Nov 27, 2025 · PreprintBioinformatics