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
Yana BrombergEmory University, Departments of Biology and Computer ScienceVerified email at emory.edu
Guy YachdavColumbia UniversityVerified email at rostlab.org
Gaetano T Montelione, Constellation...Rensselaer Polytechnic InstituteVerified email at rpi.edu
Avner SchlessingerProfessor, Icahn School of Medicine at Mount Sinai, New York, NYVerified email at mssm.edu
Yanay OfranVerified email at ofranlab.org
Dariusz PrzybylskiSenior Director of Computational Biology at Homology MedicinesVerified email at homologymedicines.com
Reinhard SchneiderProf. Bioinformatics, University of Luxembourg, Head of Bioinformatics Core Facility, LuxembourgVerified email at uni.lu
Rong Xiao Ph.D.NEXOMICS INCVerified email at nexomics.com
Martin SteineggerAssociate Professor, Seoul National University, KoreaVerified email at snu.ac.kr
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
Alfonso ValenciaICREA Professor. Barcelona Supercomputing Center.Verified email at bsc.es
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
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

Verified email at tum.de - Homepage

machine learning artificial intelligence bioinformatics computer science protein prediction


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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	4115	2005
Prediction of protein secondary structure at better than 70% accuracy B Rost, C Sander Journal of molecular biology 232 (2), 584-599, 1993	3897	1993
Twilight zone of protein sequence alignments B Rost Protein engineering 12 (2), 85-94, 1999	2249	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	1907	1994
The PredictProtein server B Rost, G Yachdav, J Liu Nucleic acids research 32 (suppl_2), W321-W326, 2004	1857	2004
PHD: Predicting one-dimensional protein structure by profile-based neural networks B Rost Methods in enzymology 266, 525-539, 1996	1708	1996
Prottrans: Toward understanding the language of life through self-supervised learning A Elnaggar, M Heinzinger, C Dallago, G Rehawi, Y Wang, L Jones, ... IEEE transactions on pattern analysis and machine intelligence 44 (10), 7112 …, 2021	1422	2021
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	1089	2013
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	1088	2011
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	1006	2002
SNAP: predict effect of non-synonymous polymorphisms on function Y Bromberg, B Rost Nucleic acids research 35 (11), 3823-3835, 2007	988	2007
PHD-an automatic mail server for protein secondary structure prediction B Rost, C Sander, R Schneider Bioinformatics 10 (1), 53-60, 1994	906	1994
Finding nuclear localization signals M Cokol, R Nair, B Rost EMBO reports, 2000	901	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	806	1996
Conservation and prediction of solvent accessibility in protein families B Rost, C Sander Proteins: Structure, Function, and Bioinformatics 20 (3), 216-226, 1994	800	1994
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), 7866, 2015	785	2015
Protein secondary structure prediction continues to rise B Rost Journal of structural biology 134 (2-3), 204-218, 2001	744	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	718	1993
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	699	2014
Transmembrane helices predicted at 95% accuracy B Rost, C Sander, R Casadio, P Fariselli Protein Science 4 (3), 521-533, 1995	672	1995

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