Burkhard Rost

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Chris SanderHarvard Medical School, Broad Institute, Dana-Farber Cancer 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 rutgers.edu
Gaetano T Montelione, Constellation...Rensselaer Polytechnic InstituteVerified email at rpi.edu
Yanay OfranVerified email at ofranlab.org
Reinhard SchneiderProf. Bioinformatics, University of Luxembourg, Head of Bioinformatics Core Facility, LuxembourgVerified email at uni.lu
Avner SchlessingerAssociate Professor, Icahn School of Medicine at Mount Sinai, New York, NYVerified email at mssm.edu
Dariusz PrzybylskiSenior Director of Computational Biology at Homology MedicinesVerified email at homologymedicines.com
Rong Xiao Ph.D.NEXOMICS INCVerified email at nexomics.com
Maximilian HechtAmazon.com Inc.Verified email at rostlab.org
Alfonso ValenciaICREA Professor. Barcelona Supercomputing Center.Verified email at bsc.es
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
Christine OrengoProfessor of Bioinformatics, University College LondonVerified email at biochem.ucl.ac.uk
Andras FiserAlbert Einstein College of MedicineVerified email at fiserlab.org
Andrej SaliUniversity of California, San FranciscoVerified email at salilab.org
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

machine learning artificial intelligence bioinformatics computer science protein prediction


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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	3823	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	3681	2005
Twilight zone of protein sequence alignments B Rost Protein engineering 12 (2), 85-94, 1999	2065	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	1866	1994
The PredictProtein server B Rost, G Yachdav, J Liu Nucleic acids research 32 (suppl_2), W321-W326, 2004	1811	2004
PHD: Predicting one-dimensional protein structure by profile-based neural networks B Rost Methods in enzymology 266, 525-539, 1996	1690	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	961	2002
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	927	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	904	2013
PHD-an automatic mail server for protein secondary structure prediction B Rost, C Sander, R Schneider Bioinformatics 10 (1), 53-60, 1994	894	1994
SNAP: predict effect of non-synonymous polymorphisms on function Y Bromberg, B Rost Nucleic acids research 35 (11), 3823-3835, 2007	856	2007
Finding nuclear localization signals M Cokol, R Nair, B Rost EMBO reports 1 (5), 411-415, 2000	843	2000
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	779	1996
Conservation and prediction of solvent accessibility in protein families B Rost, C Sander Proteins: Structure, Function, and Bioinformatics 20 (3), 216-226, 1994	755	1994
Protein secondary structure prediction continues to rise B Rost Journal of structural biology 134 (2-3), 204-218, 2001	707	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	705	1993
Transmembrane helices predicted at 95% accuracy B Rost, C Sander, R Casadio, P Fariselli Protein Science 4 (3), 521-533, 1995	671	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	636	2014
A draft network of ligand–receptor-mediated multicellular signalling in human JA Ramilowski, T Goldberg, J Harshbarger, E Kloppmann, M Lizio, ... Nature communications 6 (1), 1-12, 2015	559	2015
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	539	2012

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