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
David Menéndez HurtadoSavantic AB. Former: Department of Biochemistry and Biophysics, Stockholm UniversityVerified email at scilifelab.se
Åsa K BjörklundBioinformatic researcher at Science for Life Laboratory, NBIS,Chalmers University of TechnologyVerified email at scilifelab.se
Marcin J. SkwarkBioinformatics Lead, InstaDeepVerified email at skwark.pl
Erik LindahlProfessor of Biophysics, Stockholm University & KTH, Science for Life LaboratoryVerified email at dbb.su.se
Patrick BryantStockholm University, SciLifeLabVerified email at scilifelab.se
Konstantinos Tsirigos, PhD Bioinforma...DTU BiosustainVerified email at dtu.dk
Christoph PetersPhD Student, Stockholm UniversityVerified email at biokomputiko.de
Mirco MichelTNG Technology Consulting GmbHVerified email at tngtech.com
Sikander HayatGroup Leader, Translational Data Science, RWTH Aachen UniversityVerified email at ukaachen.de
Andreas BernselVerified email at bernsel.se
Susana CristobalProfessor, Department of Biomedical and Clinical Sciences, Cell Biology, Medical Faculty, LinköpingVerified email at liu.se
Olof EmanuelssonAssociate professor, Royal Institute of Technology (KTH), StockholmVerified email at kth.se
Janusz BujnickiProfessor of Biology, International Institute of Molecular and Cell Biology in WarsawVerified email at iimcb.gov.pl
Ole WintherBiology, Univ of Copenhagen, Genomic Medicine, Rigshospitalet and Technical University of DenmarkVerified email at bio.ku.dk
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	1370	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	907	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	898	2015
Can correct protein models be identified? B Wallner, A Elofsson Protein science 12 (5), 1073-1086, 2003	825	2003
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	784	2019
Improved prediction of protein-protein interactions using AlphaFold2 P Bryant, G Pozzati, A Elofsson Nature communications 13 (1), 1265, 2022	629	2022
TOPCONS: consensus prediction of membrane protein topology A Bernsel, H Viklund, A Hennerdal, A Elofsson Nucleic acids research 37 (suppl_2), W465-W468, 2009	620	2009
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	530	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	483	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	468	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, 1-13, 2006	438	2006
A structural biology community assessment of AlphaFold2 applications M Akdel, DEV Pires, EP Pardo, J Jänes, AO Zalevsky, B Mészáros, ... Nature Structural & Molecular Biology 29 (11), 1056-1067, 2022	425	2022
Molecular recognition of a single sphingolipid species by a protein’s transmembrane domain FX Contreras, AM Ernst, P Haberkant, P Björkholm, E Lindahl, B Gönen, ... Nature 481 (7382), 525-529, 2012	402	2012
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	377	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	358	2008
Prediction of MHC class I binding peptides, using SVMHC P Dönnes, A Elofsson BMC bioinformatics 3, 1-8, 2002	353	2002
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	333	2017
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	312	2004
Membrane protein structure: prediction versus reality A Elofsson, G Heijne Annu. Rev. Biochem. 76 (1), 125-140, 2007	310	2007
Expansion of protein domain repeats ÅK Björklund, D Ekman, A Elofsson PLoS computational biology 2 (8), e114, 2006	289	2006

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