Published in bioRxiv, 2026
Brenner, M., Schlensok, J., Plaikner, A., Schmirler, R., & Heinzinger, M. (2026). Protein language models: Learning from evolution, designing beyond it (p. 2026.09.23.753106). bioRxiv.
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Published in bioRxiv, 2026
Leusch, J.-P., Poley-Gil, M., Fernandez-Martin, M., Simonetti, F. L., Schlensok, J., Bordin, N., Rost, B., Parra, R. G., & Heinzinger, M. (2026). FrustrAI-Seq: Scaling local energetic frustration to the protein sequence space (p. 2026.02.03.703498). bioRxiv.
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Published in bioRxiv, 2026
Schlensok, J., Wagemann, D., Senoner, T., Haak, M., & Rost, B. (2026). UdonPred: Untangling protein intrinsic disorder prediction (p. 2026.01.26.701679). bioRxiv.
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Published in Bioinformatics, 2024
Schlensok, J., Marquet, C., Abakarova, M., Rost, B., & Laine, E. (2024). Expert-guided protein language models enable accurate and blazingly fast fitness prediction. Bioinformatics, 40(11), btae621.
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