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个人简介
Burkhard Rost obtained his doctoral degree (Dr. rer. nat.) from the Univ. of Heidelberg (Germany) in the
field of theoretical physics. He began his research working on the thermo-dynamical properties of spin
glasses and brain-like artificial neural networks. A short project on peace/arms control research
sketched a simple, non-intrusive sensor networks to monitor aircraft (1988-1990). He entered the field
of molecular biology at the European Molecular Biology Laboratory (EMBL, Heidelberg, Germany,
1990-1995), spent a year at the European Bioinformatics Institute (EBI, Hinxton, Cambridgshire,
England, 1995), returned to the EMBL (1996-1998), joined the company LION Biosciences for a brief
interim (1998), became faculty in the Medical School of Columbia University in 1998, and joined the
TUM Munich to become an Alexander von Humboldt professor in 2009. In 1992, Dr. Rost developed the
first Internet server for protein structure prediction (PredictProtein). Since, his group has contributed
many highly used and original methods for the prediction of aspects of protein function and structure.
His major contribution has been the combination of machine learning and evolutionary information. His
academic research goal focuses on the development of top tools that can be applied in the
context of analyzing entirely sequence organisms. Recently, has been focusing on the
analysis of the effects of sequence variation and their implications for precision medicine and
personalized health.
field of theoretical physics. He began his research working on the thermo-dynamical properties of spin
glasses and brain-like artificial neural networks. A short project on peace/arms control research
sketched a simple, non-intrusive sensor networks to monitor aircraft (1988-1990). He entered the field
of molecular biology at the European Molecular Biology Laboratory (EMBL, Heidelberg, Germany,
1990-1995), spent a year at the European Bioinformatics Institute (EBI, Hinxton, Cambridgshire,
England, 1995), returned to the EMBL (1996-1998), joined the company LION Biosciences for a brief
interim (1998), became faculty in the Medical School of Columbia University in 1998, and joined the
TUM Munich to become an Alexander von Humboldt professor in 2009. In 1992, Dr. Rost developed the
first Internet server for protein structure prediction (PredictProtein). Since, his group has contributed
many highly used and original methods for the prediction of aspects of protein function and structure.
His major contribution has been the combination of machine learning and evolutionary information. His
academic research goal focuses on the development of top tools that can be applied in the
context of analyzing entirely sequence organisms. Recently, has been focusing on the
analysis of the effects of sequence variation and their implications for precision medicine and
personalized health.
研究兴趣
论文共 605 篇作者统计合作学者相似作者
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biorxiv(2024)
BMC Bioinformaticsno. 1 (2023): 469-469
O. Llorian, J. Akhgar, S. Pigorsch,K. Borm,S. Munch,D. Bernhardt,B. Rost, M. Andrade, S. Combs,J. Peeken
Radiotherapy and Oncology (2023): S1890-S1890
Michael Heinzinger,Konstantin Weißenow, Joaquin Gomez Sanchez, Adrian Henkel,Martin Steinegger,Burkhard Rost
bioRxiv (Cold Spring Harbor Laboratory) (2023)
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Ivan Koludarov,Mariana Velasque, Tobias Senoner,Thomas Timm,Carola Greve, Alexander Ben Hamadou, Deepak Kumar Gupta,Günter Lochnit,Michael Heinzinger,Andreas Vilcinskas,Rosalyn Gloag,Brock A. Harpur,
BMC biologyno. 1 (2023): 1-27
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biorxiv(2023)
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