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Arne Elofsson
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- affiliation: Stockholm University, Sweden
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2020 – today
- 2024
- [j51]Aditi Shenoy
, Yogesh Kalakoti, Durai Sundar
M-Ionic: prediction of metal-ion-binding sites from sequence using residue embeddings. Bioinform. 40(1) (2024) - [i3]Christopher Iliffe Sprague, Arne Elofsson, Hossein Azizpour:
Stable Autonomous Flow Matching. CoRR abs/2402.05774 (2024) - [i2]Ricardo Vinuesa, Jean Rabault, Hossein Azizpour, Stefan Bauer, Bingni W. Brunton, Arne Elofsson, Elias Jarlebring, Hedvig Kjellström, Stefano Markidis, David Marlevi, Paola Cinnella, Steven L. Brunton:
Opportunities for machine learning in scientific discovery. CoRR abs/2405.04161 (2024) - 2023
- [j50]Yanlei Kang, Arne Elofsson
AFTGAN: prediction of multi-type PPI based on attention free transformer and graph attention network. Bioinform. 39(2) (2023) - 2022
- [j49]Gabriele Pozzati, Wensi Zhu, Claudio Bassot, John Lamb, Petras Kundrotas, Arne Elofsson
Limits and potential of combined folding and docking. Bioinform. 38(4): 954-961 (2022) - [j48]Federica Quaglia
DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation. Nucleic Acids Res. 50(D1): 480-487 (2022) - 2021
- [j47]Federico Baldassarre
GraphQA: protein model quality assessment using graph convolutional networks. Bioinform. 37(3): 360-366 (2021) - [j46]John Lamb
pyconsFold: a fast and easy tool for modeling and docking using distance predictions. Bioinform. 37(21): 3959-3960 (2021) - [j45]Arne Elofsson:
Toward Characterising the Cellular 3D-Proteome. Frontiers Bioinform. 1 (2021) - [j44]Claudio Bassot
Accurate contact-based modelling of repeat proteins predicts the structure of new repeats protein families. PLoS Comput. Biol. 17(4) (2021) - [j43]Zhong Li, Kaiyancheng Jiang, Shengwei Qin
GCSENet: A GCN, CNN and SENet ensemble model for microRNA-disease association prediction. PLoS Comput. Biol. 17(6) (2021) - [j42]Govindarajan Sudha, Claudio Bassot
The evolutionary history of topological variations in the CPA/AT transporters. PLoS Comput. Biol. 17(8) (2021) - [i1]Elodie Laine, Stephan Eismann, Arne Elofsson, Sergei Grudinin:
Protein sequence-to-structure learning: Is this the end(-to-end revolution)? CoRR abs/2105.07407 (2021) - 2020
- [j41]Lifan Chen
TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments. Bioinform. 36(16): 4406-4414 (2020) - [j40]András Hatos
DisProt: intrinsic protein disorder annotation in 2020. Nucleic Acids Res. 48(Database-Issue): D269-D276 (2020)
2010 – 2019
- 2019
- [j39]Mirco Michel, David Menéndez Hurtado, Arne Elofsson:
PconsC4: fast, accurate and hassle-free contact predictions. Bioinform. 35(15): 2677-2679 (2019) - [j38]Arne Elofsson
Ten simple rules on how to create open access and reproducible molecular simulations of biological systems. PLoS Comput. Biol. 15(1) (2019) - [j37]Walter Basile
Why do eukaryotic proteins contain more intrinsically disordered regions? PLoS Comput. Biol. 15(7) (2019) - 2017
- [j36]Niki L. Dimou
GWAR: robust analysis and meta-analysis of genome-wide association studies. Bioinform. 33(10): 1521-1527 (2017) - [j35]Karolis Uziela, David Menéndez Hurtado, Nanjiang Shu
ProQ3D: improved model quality assessments using deep learning. Bioinform. 33(10): 1578-1580 (2017) - [j34]Mirco Michel, David Menéndez Hurtado, Karolis Uziela, Arne Elofsson:
Large-scale structure prediction by improved contact predictions and model quality assessment. Bioinform. 33(14): i23-i29 (2017) - [j33]Marco Salvatore, Per Warholm
SubCons: a new ensemble method for improved human subcellular localization predictions. Bioinform. 33(16): 2464-2470 (2017) - [j32]Mirco Michel, Marcin J. Skwark
Predicting accurate contacts in thousands of Pfam domain families using PconsC3. Bioinform. 33(18): 2859-2866 (2017) - [j31]Damiano Piovesan
DisProt 7.0: a major update of the database of disordered proteins. Nucleic Acids Res. 45(Database-Issue): D219-D227 (2017) - [j30]Walter Basile, Oxana Sachenkova, Sara Light, Arne Elofsson
High GC content causes orphan proteins to be intrinsically disordered. PLoS Comput. Biol. 13(3) (2017) - 2016
- [j29]Christoph Peters, Konstantinos D. Tsirigos
Improved topology prediction using the terminal hydrophobic helices rule. Bioinform. 32(8): 1158-1162 (2016) - [j28]Sikander Hayat
Inclusion of dyad-repeat pattern improves topology prediction of transmembrane β-barrel proteins. Bioinform. 32(10): 1571-1573 (2016) - [j27]Konstantinos D. Tsirigos
PRED-TMBB2: improved topology prediction and detection of beta-barrel outer membrane proteins. Bioinform. 32(17): 665-671 (2016) - 2015
- [j26]Konstantinos D. Tsirigos
The TOPCONS web server for consensus prediction of membrane protein topology and signal peptides. Nucleic Acids Res. 43(Webserver-Issue): W401-W407 (2015) - 2014
- [j25]Mirco Michel, Sikander Hayat
PconsFold: improved contact predictions improve protein models. Bioinform. 30(17): 482-488 (2014) - [j24]Marcin J. Skwark
Improved Contact Predictions Using the Recognition of Protein Like Contact Patterns. PLoS Comput. Biol. 10(11) (2014) - 2013
- [j23]Marcin J. Skwark
PconsC: combination of direct information methods and alignments improves contact prediction. Bioinform. 29(14): 1815-1816 (2013) - [j22]Marcin J. Skwark
PconsD: ultra rapid, accurate model quality assessment for protein structure prediction. Bioinform. 29(14): 1817-1818 (2013) - 2012
- [j21]Sikander Hayat
BOCTOPUS: improved topology prediction of transmembrane β barrel proteins. Bioinform. 28(4): 516-522 (2012) - [j20]Sikander Hayat
Ranking models of transmembrane β-barrel proteins using Z-coordinate predictions. Bioinform. 28(12): 90-96 (2012) - 2011
- [j19]Per Larsson, Marcin J. Skwark
Improved predictions by Pcons.net using multiple templates. Bioinform. 27(3): 426-427 (2011) - [j18]Aron Hennerdal, Arne Elofsson
Rapid membrane protein topology prediction. Bioinform. 27(9): 1322-1323 (2011) - [j17]Nanjiang Shu
KalignP: Improved multiple sequence alignments using position specific gap penalties in Kalign2. Bioinform. 27(12): 1702-1703 (2011) - 2010
- [j16]Kristoffer Illergård, Simone Callegari, Arne Elofsson
MPRAP: An accessibility predictor for alpha-helical transmembrane proteins that performs well inside and outside the membrane. BMC Bioinform. 11: 333 (2010)
2000 – 2009
- 2009
- [j15]Andreas Bernsel, Håkan Viklund, Aron Hennerdal, Arne Elofsson
TOPCONS: consensus prediction of membrane protein topology. Nucleic Acids Res. 37(Web-Server-Issue): 465-468 (2009) - 2008
- [j14]Håkan Viklund, Arne Elofsson
OCTOPUS: improving topology prediction by two-track ANN-based preference scores and an extended topological grammar. Bioinform. 24(15): 1662-1668 (2008) - [j13]Håkan Viklund, Andreas Bernsel, Marcin J. Skwark
SPOCTOPUS: a combined predictor of signal peptides and membrane protein topology. Bioinform. 24(24): 2928-2929 (2008) - 2007
- [j12]Björn Wallner
Pcons.net: protein structure prediction meta server. Nucleic Acids Res. 35(Web-Server-Issue): 369-374 (2007) - 2006
- [j11]Tomas Ohlson, Varun Aggarwal, Arne Elofsson
Improved alignment quality by combining evolutionary information, predicted secondary structure and self-organizing maps. BMC Bioinform. 7: 357 (2006) - [j10]Mauro Amico, Michele Finelli, Ivan Rossi
PONGO: a web server for multiple predictions of all-alpha transmembrane proteins. Nucleic Acids Res. 34(Web-Server-Issue): 169-172 (2006) - [j9]Åsa K. Björklund
Expansion of Protein Domain Repeats. PLoS Comput. Biol. 2(8) (2006) - [c2]Erik Granseth, Håkan Viklund, Arne Elofsson
ZPRED: Predicting the distance to the membrane center for residues in alpha-helical membrane proteins. ISMB (Supplement of Bioinformatics) 2006: 191-196 - 2005
- [j8]Björn Wallner
Pcons5: combining consensus, structural evaluation and fold recognition scores. Bioinform. 21(23): 4248-4254 (2005) - [j7]Tomas Ohlson, Arne Elofsson
ProfNet, a method to derive profile-profile alignment scoring functions that improves the alignments of distantly related proteins. BMC Bioinform. 6: 253 (2005) - 2003
- [j6]Krzysztof Ginalski, Arne Elofsson
3D-Jury: A Simple Approach to Improve Protein Structure Predictions. Bioinform. 19(8): 1015-1018 (2003) - 2002
- [j5]Pierre Dönnes
Prediction of MHC class I binding peptides, using SVMHC. BMC Bioinform. 3: 25 (2002) - 2001
- [j4]Janusz M. Bujnicki, Arne Elofsson, Daniel Fischer, Leszek Rychlewski:
Structure prediction meta server. Bioinform. 17(8): 750-751 (2001) - [j3]Susana Cristobal
A study of quality measures for protein threading models. BMC Bioinform. 2: 5 (2001) - [c1]Olivia Eriksson, Yishao Zhou, Arne Elofsson:
Side Chain-Positioning as an Integer Programming Problem. WABI 2001: 128-141 - 2000
- [j2]Naomi Siew, Arne Elofsson, Leszek Rychlewski, Daniel Fischer:
MaxSub: an automated measure for the assessment of protein structure prediction quality. Bioinform. 16(9): 776-785 (2000)
1990 – 1999
- 1999
- [j1]Arne Elofsson
A comparison of sequence and structure protein domain families as a basis for structural genomics. Bioinform. 15(6): 480-500 (1999)
Coauthor Index
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last updated on 2024-06-10 21:23 CEST by the dblp team
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