Burkhard Rost
Affiliations: | Technische Universität München (TUM), München, Bayern, Germany |
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"Burkhard Rost"Parents
Sign in to add mentorHeinz Horner | research assistant | 1986-1988 | Heidelberg University | |
(Topic for Master Thesis: Learning algorithms for spin-glass-like neural networks') | ||||
Chris Sander | grad student | 1987-1992 | EMBL Heidelberg |
Children
Sign in to add traineeYanay Ofran | grad student | 2004 | Columbia |
Dariusz S. Przybylski | grad student | 2005 | Columbia |
Avner Schlessinger | grad student | 2007 | Columbia |
Yana Bromberg | grad student | 2002-2007 | Columbia |
Ta-Tsen Soong | grad student | 2009 | Columbia |
Kazimierz O. Wrzeszczynski | grad student | 2009 | Columbia |
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Publications
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Erckert K, Birkeneder F, Rost B. (2025) bindNode24: Competitive binding residue prediction with 60 % smaller model. Computational and Structural Biotechnology Journal. 27: 1060-1066 |
Senoner T, Olenyi T, Heinzinger M, et al. (2025) ProtSpace: A Tool for Visualizing Protein Space. Journal of Molecular Biology. 168940 |
Olenyi T, Marquet C, Grekova A, et al. (2025) TMVisDB: Annotation and 3D-visualization of Transmembrane Proteins. Journal of Molecular Biology. 168997 |
Heinzinger M, Rost B. (2025) Teaching AI to speak protein. Current Opinion in Structural Biology. 91: 102986 |
Weissenow K, Rost B. (2025) Are protein language models the new universal key? Current Opinion in Structural Biology. 91: 102997 |
Heinzinger M, Weissenow K, Sanchez JG, et al. (2024) Bilingual language model for protein sequence and structure. Nar Genomics and Bioinformatics. 6: lqae150 |
Marquet C, Schlensok J, Abakarova M, et al. (2024) Expert-guided protein language models enable accurate and blazingly fast fitness prediction. Bioinformatics (Oxford, England). 40 |
Zatorski N, Sun Y, Elmas A, et al. (2024) Structural analysis of genomic and proteomic signatures reveal dynamic expression of intrinsically disordered regions in breast cancer. Iscience. 27: 110640 |
Erckert K, Rost B. (2024) Assessing the role of evolutionary information for enhancing protein language model embeddings. Scientific Reports. 14: 20692 |
Llorián-Salvador Ó, Windeler N, Martin N, et al. (2024) CT-based radiomics for predicting breast cancer radiotherapy side effects. Scientific Reports. 14: 20051 |