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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
portfolio
publications
VespaG: Expert-guided protein Language Models enable accurate and blazingly fast fitness prediction
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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UdonPred: Untangling Protein Intrinsic Disorder Prediction
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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FrustrAI-Seq: Scaling Local Energetic Frustration to the Protein Sequence Space
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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Protein Language Models: Learning From Evolution, Designing Beyond It
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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talks
Untangling Protein Disorder Prediction
Published:
teaching
Data Analysis and Visualization in R/Python
Undergraduate course, TU Munich, 2025
I prepared and conducted two tutorial sessions per week and corrected exams.
Protein Prediction 1
Undergraduate course, TU Munich, 2026
I assisted in holding tutorials and advising student projects for Protein Prediction 1 for Computer Scientists and Protein Prediction 1 for Computational Biologists.