Burkhard Rost

Technische Universität München (TUM), München, Bayern, Germany 
"Burkhard Rost"


Sign in to add mentor
Heinz 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


Sign in to add trainee
Yanay 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
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Weissenow K, Rost B. (2023) Rendering protein mutation movies with MutAmore. Bmc Bioinformatics. 24: 469
Abakarova M, Marquet C, Rera M, et al. (2023) Alignment-based Protein Mutational Landscape Prediction: Doing More with Less. Genome Biology and Evolution. 15
Llorián-Salvador Ó, Akhgar J, Pigorsch S, et al. (2023) The importance of planning CT-based imaging features for machine learning-based prediction of pain response. Scientific Reports. 13: 17427
Foreman SC, Llorián-Salvador O, David DE, et al. (2023) Development and Evaluation of MR-Based Radiogenomic Models to Differentiate Atypical Lipomatous Tumors from Lipomas. Cancers. 15
Zatorski N, Sun Y, Elmas A, et al. (2023) Structural Analysis of Genomic and Proteomic Signatures Reveal Dynamic Expression of Intrinsically Disordered Regions in Breast Cancer and Tissue. Biorxiv : the Preprint Server For Biology
Bordin N, Sillitoe I, Nallapareddy V, et al. (2023) AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms. Communications Biology. 6: 160
Nallapareddy V, Bordin N, Sillitoe I, et al. (2023) CATHe: detection of remote homologues for CATH superfamilies using embeddings from protein language models. Bioinformatics (Oxford, England). 39
Bordin N, Dallago C, Heinzinger M, et al. (2022) Novel machine learning approaches revolutionize protein knowledge. Trends in Biochemical Sciences
Schütze K, Heinzinger M, Steinegger M, et al. (2022) Nearest neighbor search on embeddings rapidly identifies distant protein relations. Frontiers in Bioinformatics. 2: 1033775
Olenyi T, Marquet C, Heinzinger M, et al. (2022) LambdaPP: Fast and accessible protein-specific phenotype predictions. Protein Science : a Publication of the Protein Society. e4524
See more...