Arne Elofsson

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Gunnar von HeijneStockholm UniversityAdresse e-mail validée de dbb.su.se
Björn WallnerProfessorAdresse e-mail validée de liu.se
daniel fischerAdresse e-mail validée de buffalo.edu
Leszek RychlewskiBioInfoBank InstituteAdresse e-mail validée de bioinfo.pl
Nanjiang ShuDepartment of Biochemistry and Biophysics, Stockholm UniversityAdresse e-mail validée de scilifelab.se
David Menéndez HurtadoSavantic AB. Former: Department of Biochemistry and Biophysics, Stockholm UniversityAdresse e-mail validée de scilifelab.se
Åsa K BjörklundBioinformatic researcher at Science for Life Laboratory, NBIS,Chalmers University of TechnologyAdresse e-mail validée de scilifelab.se
Patrick BryantStockholm University, SciLifeLabAdresse e-mail validée de scilifelab.se
Marcin J. SkwarkBioinformatics Lead, InstaDeepAdresse e-mail validée de skwark.pl
Erik LindahlProfessor of Biophysics, Stockholm University & KTH, Science for Life LaboratoryAdresse e-mail validée de dbb.su.se
Konstantinos Tsirigos, PhD Bioinforma...DTU BiosustainAdresse e-mail validée de dtu.dk
Christoph PetersPhD Student, Stockholm UniversityAdresse e-mail validée de biokomputiko.de
Mirco MichelTNG Technology Consulting GmbHAdresse e-mail validée de tngtech.com
Sikander HayatGroup Leader, Single-cell, Spatial omics, Translational data science, RWTH Aachen UniversityAdresse e-mail validée de ukaachen.de
Susana CristobalProfessor, Department of Biomedical and Clinical Sciences, Cell Biology, Medical Faculty, LinköpingAdresse e-mail validée de liu.se
Andreas BernselAdresse e-mail validée de bernsel.se
Olof EmanuelssonAssociate professor, Royal Institute of Technology (KTH), StockholmAdresse e-mail validée de kth.se
Janusz BujnickiProfessor of Biology, International Institute of Molecular and Cell Biology in WarsawAdresse e-mail validée de iimcb.gov.pl
Ole WintherBiology, Univ of Copenhagen, Genomic Medicine, Rigshospitalet and Technical University of DenmarkAdresse e-mail validée de bio.ku.dk
Lukas KällProfessor, Science for Life Laboratory, KTH Royal Institute of TechnologyAdresse e-mail validée de kth.se

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Arne Elofsson

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

Adresse e-mail validée de bioinfo.se - Page d'accueil

Protein structure folding evolution and interactions machine learnig


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	1374	1997
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	940	2015
3D-Jury: a simple approach to improve protein structure predictions K Ginalski, A Elofsson, D Fischer, L Rychlewski Bioinformatics 19 (8), 1015-1018, 2003	909	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	864	2019
Can correct protein models be identified? B Wallner, A Elofsson Protein science 12 (5), 1073-1086, 2003	834	2003
Improved prediction of protein-protein interactions using AlphaFold2 P Bryant, G Pozzati, A Elofsson Nature communications 13 (1), 1265, 2022	779	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	630	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	555	2009
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	499	2022
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	486	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	475	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	444	2006
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	408	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	378	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	361	2008
Prediction of MHC class I binding peptides, using SVMHC P Dönnes, A Elofsson BMC bioinformatics 3, 1-8, 2002	360	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	339	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	314	2004
Membrane protein structure: prediction versus reality A Elofsson, G Heijne Annu. Rev. Biochem. 76 (1), 125-140, 2007	311	2007
Expansion of protein domain repeats ÅK Björklund, D Ekman, A Elofsson PLoS computational biology 2 (8), e114, 2006	298	2006

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