Burkhard Rost

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Chris SanderDana-Farber Cancer Institute, Harvard Medical School, Broad Institute, Memorial Sloan KetteringVerified email at sanderlab.org
Jinfeng LiuGilead SciencesVerified email at gilead.com
Tatyana GoldbergAllianzVerified email at rostlab.org
Guy YachdavColumbia UniversityVerified email at rostlab.org
Yana BrombergRutgers University, Department of Microbiology and Biochemistry and Department of GeneticsVerified email at rci.rutgers.edu
Gaetano T MontelioneConstellation Chair in Structural BioinformaticsVerified email at rpi.edu
Yanay OfranVerified email at ofranlab.org
Dariusz PrzybylskiDistinguished Scientist, Analysis Lead at SanofiVerified email at sanofi.com
Reinhard SchneiderHead of Bioinformatics Core Facility, Luxembourg Centre for Systems Biomedicine (LCSB), UniversityVerified email at uni.lu
Avner SchlessingerAssociate Professor, Icahn School of Medicine at Mount Sinai, New York, NYVerified email at mssm.edu
Rong Xiao Ph.D.NEXOMICS INCVerified email at nexomics.com
Alfonso ValenciaICREA Professor. Barcelona Supercomputing Center.Verified email at bsc.es
Maximilian HechtAmazon.com Inc.Verified email at rostlab.org
Andrea SchafferhansLecturer at Hochschule Weihenstephan Triesdorf and Postdoc in Bioinformatics at TUMVerified email at rostlab.org
Seán O'DonoghueGarvan Institute of Medical Research, AustraliaVerified email at odonoghuelab.org
Andras FiserAlbert Einstein College of MedicineVerified email at fiserlab.org
Andrej SaliUniversity of California, San FranciscoVerified email at salilab.org
Henry BigelowAmgenVerified email at amgen.com
Piero FariselliDept. of Medical Sciences, University of Torino, ItalyVerified email at unito.it
Rita CasadioFull Professor of Biochemistry, University of BolognaVerified email at unibo.it

Burkhard Rost

Professor of Computer Science & Computational Biology & Bioinformatics, TUM, Munich

Verified email at tum.de - Homepage

computational biology bioinformatics machine learning evolution protein prediction and sequence analysis


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Prediction of protein secondary structure at better than 70% accuracy B Rost, C Sander Journal of molecular biology 232 (2), 584-599, 1993	3665	1993
The transcriptional landscape of the mammalian genome P Carninci, T Kasukawa, S Katayama, J Gough, MC Frith, N Maeda, ... science 309 (5740), 1559-1563, 2005	3577	2005
Twilight zone of protein sequence alignments B Rost Protein engineering 12 (2), 85-94, 1999	1831	1999
Combining evolutionary information and neural networks to predict protein secondary structure B Rost, C Sander Proteins: Structure, Function, and Bioinformatics 19 (1), 55-72, 1994	1780	1994
The PredictProtein server B Rost, G Yachdav, J Liu Nucleic acids research 32 (suppl_2), W321-W326, 2004	1755	2004
PHD: Predicting one-dimensional protein structure by profile-based neural networks B Rost Methods in enzymology 266, 525-539, 1996	1628	1996
Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles G Pollastri, D Przybylski, B Rost, P Baldi Proteins: Structure, Function, and Bioinformatics 47 (2), 228-235, 2002	895	2002
PHD-an automatic mail server for protein secondary structure prediction B Rost, C Sander, R Schneider Bioinformatics 10 (1), 53-60, 1994	845	1994
Finding nuclear localization signals M Cokol, R Nair, B Rost EMBO reports 1 (5), 411-415, 2000	805	2000
A mutation in VPS35, encoding a subunit of the retromer complex, causes late-onset Parkinson disease A Zimprich, A Benet-Pagès, W Struhal, E Graf, SH Eck, MN Offman, ... The American Journal of Human Genetics 89 (1), 168-175, 2011	793	2011
A large-scale evaluation of computational protein function prediction P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ... Nature methods 10 (3), 221-227, 2013	779	2013
Topology prediction for helical transmembrane proteins at 86% accuracy–Topology prediction at 86% accuracy B Rost, P Fariselli, R Casadio Protein Science 5 (8), 1704-1718, 1996	778	1996
SNAP: predict effect of non-synonymous polymorphisms on function Y Bromberg, B Rost Nucleic acids research 35 (11), 3823-3835, 2007	745	2007
Conservation and prediction of solvent accessibility in protein families B Rost, C Sander Proteins: Structure, Function, and Bioinformatics 20 (3), 216-226, 1994	707	1994
Protein secondary structure prediction continues to rise B Rost Journal of structural biology 134 (2-3), 204-218, 2001	675	2001
Improved prediction of protein secondary structure by use of sequence profiles and neural networks B Rost, C Sander Proceedings of the National Academy of Sciences 90 (16), 7558-7562, 1993	656	1993
Transmembrane helices predicted at 95% accuracy B Rost, C Sander, R Casadio, P Fariselli Protein Science 4 (3), 521-533, 1995	654	1995
PredictProtein—an open resource for online prediction of protein structural and functional features G Yachdav, E Kloppmann, L Kajan, M Hecht, T Goldberg, T Hamp, ... Nucleic acids research 42 (W1), W337-W343, 2014	519	2014
Analysing six types of protein–protein interfaces Y Ofran, B Rost Journal of molecular biology 325 (2), 377-387, 2003	503	2003
Three-dimensional structures of membrane proteins from genomic sequencing TA Hopf, LJ Colwell, R Sheridan, B Rost, C Sander, DS Marks Cell 149 (7), 1607-1621, 2012	487	2012

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