Arne Elofsson

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Gunnar von HeijneStockholm UniversityVerified email at dbb.su.se
Björn WallnerProfessorVerified email at liu.se
daniel fischerVerified email at buffalo.edu
Leszek RychlewskiBioInfoBank InstituteVerified email at bioinfo.pl
Nanjiang ShuDepartment of Biochemistry and Biophysics, Stockholm UniversityVerified email at scilifelab.se
Åsa K BjörklundBioinformatic researcher at Science for Life Laboratory, NBIS, Uppsala UniversityVerified email at scilifelab.se
David Menéndez HurtadoDepartment of Biochemistry and Biophysics, Stockholm University and Science for Life LaboratoryVerified email at scilifelab.se
Erik LindahlProfessor of Biophysics, Stockholm University & KTH, Science for Life LaboratoryVerified email at dbb.su.se
Marcin J. SkwarkInstaDeepVerified email at skwark.pl
Christoph PetersPhD Student, Stockholm UniversityVerified email at biokomputiko.de
Konstantinos Tsirigos, PhD Bioinforma...European Bioinformatics instituteVerified email at ebi.ac.uk
Sikander HayatGroup Leader, Translational Data Science, RWTH Aachen UniversityVerified email at ukaachen.de
Mirco MichelTNG Technology Consulting GmbHVerified email at tngtech.com
Andreas BernselVerified email at bernsel.se
Susana CristobalProfessor, Department of Biomedical and Clinical Sciences, Cell Biology, Medical Faculty, LinköpingVerified email at liu.se
Janusz BujnickiProfessor of Biology, International Institute of Molecular and Cell Biology in WarsawVerified email at genesilico.pl
Patrick BryantStockholm UniversityVerified email at scilifelab.se
Marco SalvatoreAbzuVerified email at abzu.ai
David S. EisenbergPaul Boyer Professor, HHMI-UCLAVerified email at mbi.ucla.edu
Lukas KällProfessor, Science for Life Laboratory, KTH Royal Institute of TechnologyVerified email at kth.se

Arne Elofsson

Science for Life Laboratory and department of Biochemistry and Biophysics, Stockholm University

Verified email at bioinfo.se - Homepage

Protein structure folding evolution and interactions machine learnig


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Prediction of transmembrane alpha-helices in prokaryotic membrane proteins: the dense alignment surface method. M Cserzö, E Wallin, I Simon, G von Heijne, A Elofsson Protein engineering 10 (6), 673-676, 1997	1306	1997
3D-Jury: a simple approach to improve protein structure predictions K Ginalski, A Elofsson, D Fischer, L Rychlewski Bioinformatics 19 (8), 1015-1018, 2003	885	2003
Can correct protein models be identified? B Wallner, A Elofsson Protein science 12 (5), 1073-1086, 2003	743	2003
The TOPCONS web server for consensus prediction of membrane protein topology and signal peptides KD Tsirigos, C Peters, N Shu, L Käll, A Elofsson Nucleic acids research 43 (W1), W401-W407, 2015	651	2015
TOPCONS: consensus prediction of membrane protein topology A Bernsel, H Viklund, A Hennerdal, A Elofsson Nucleic acids research 37 (suppl_2), W465-W468, 2009	580	2009
MaxSub: an automated measure for the assessment of protein structure prediction quality N Siew, A Elofsson, L Rychlewski, D Fischer Bioinformatics 16 (9), 776-785, 2000	457	2000
OCTOPUS: improving topology prediction by two-track ANN-based preference scores and an extended topological grammar H Viklund, A Elofsson Bioinformatics 24 (15), 1662-1668, 2008	424	2008
What properties characterize the hub proteins of the protein-protein interaction network of Saccharomyces cerevisiae? D Ekman, S Light, ÅK Björklund, A Elofsson Genome biology 7 (6), 1-13, 2006	401	2006
Structure is three to ten times more conserved than sequence—a study of structural response in protein cores K Illergård, DH Ardell, A Elofsson Proteins: Structure, Function, and Bioinformatics 77 (3), 499-508, 2009	380	2009
Pcons: A neural‐network–based consensus predictor that improves fold recognition J Lundström, L Rychlewski, J Bujnicki, A Elofsson Protein science 10 (11), 2354-2362, 2001	367	2001
Prediction of membrane-protein topology from first principles A Bernsel, H Viklund, J Falk, E Lindahl, G von Heijne, A Elofsson Proceedings of the National Academy of Sciences 105 (20), 7177-7181, 2008	335	2008
Prediction of MHC class I binding peptides, using SVMHC P Dönnes, A Elofsson BMC bioinformatics 3 (1), 1-8, 2002	335	2002
Molecular recognition of a single sphingolipid species by a protein’s transmembrane domain F Contreras, AM Ernst, P Haberkant, P Björkholm, E Lindahl, B Gönen, ... Nature 481 (7382), 525-529, 2012	332	2012
Detecting sequence signals in targeting peptides using deep learning JJA Armenteros, M Salvatore, O Emanuelsson, O Winther, G Von Heijne, ... Life science alliance 2 (5), 2019	301	2019
Membrane protein structure: prediction versus reality A Elofsson, G Von Heijne Annual review of biochemistry 76 (1), 125-140, 2007	296	2007
Best α‐helical transmembrane protein topology predictions are achieved using hidden Markov models and evolutionary information H Viklund, A Elofsson Protein Science 13 (7), 1908-1917, 2004	292	2004
DisProt 7.0: a major update of the database of disordered proteins D Piovesan, F Tabaro, I Mičetić, M Necci, F Quaglia, CJ Oldfield, ... Nucleic acids research 45 (D1), D219-D227, 2017	269	2017
Structure prediction meta server JM Bujnicki, A Elofsson, D Fischer, L Rychlewski Bioinformatics 17 (8), 750-751, 2001	263	2001
All are not equal: a benchmark of different homology modeling programs B Wallner, A Elofsson Protein Science 14 (5), 1315-1327, 2005	262	2005
Expansion of protein domain repeats ÅK Björklund, D Ekman, A Elofsson PLoS computational biology 2 (8), e114, 2006	255	2006

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