| SPOCTOPUS: a combined predictor of signal peptides and membrane protein topology H Viklund, A Bernsel, M Skwark, A Elofsson Bioinformatics 24 (24), 2928-2929, 2008 | 246 | 2008 |
| Improved contact predictions using the recognition of protein like contact patterns MJ Skwark, D Raimondi, M Michel, A Elofsson PLoS computational biology 10 (11), e1003889, 2014 | 175 | 2014 |
| PconsFold: improved contact predictions improve protein models M Michel, S Hayat, MJ Skwark, C Sander, DS Marks, A Elofsson Bioinformatics 30 (17), i482-i488, 2014 | 103 | 2014 |
| Interacting networks of resistance, virulence and core machinery genes identified by genome-wide epistasis analysis MJ Skwark, NJ Croucher, S Puranen, C Chewapreecha, M Pesonen, ... PLoS genetics 13 (2), e1006508, 2017 | 92 | 2017 |
| Improving contact prediction along three dimensions C Feinauer, MJ Skwark, A Pagnani, E Aurell PLoS computational biology 10 (10), e1003847, 2014 | 89 | 2014 |
| PconsC: combination of direct information methods and alignments improves contact prediction MJ Skwark, A Abdel-Rehim, A Elofsson Bioinformatics 29 (14), 1815-1816, 2013 | 87 | 2013 |
| Assessment of global and local model quality in CASP8 using Pcons and ProQ P Larsson, MJ Skwark, B Wallner, A Elofsson Proteins: Structure, Function, and Bioinformatics 77 (S9), 167-172, 2009 | 74 | 2009 |
| Predicting accurate contacts in thousands of Pfam domain families using PconsC3 M Michel, MJ Skwark, D Menéndez Hurtado, M Ekeberg, A Elofsson Bioinformatics 33 (18), 2859-2866, 2017 | 46* | 2017 |
| Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images V Golkov, MJ Skwark, D Alexey, T Brox, J Meiler, D Cremers Advances in Neural Information Processing Systems, 730-738, 2016 | 40 | 2016 |
| Discoidin domain receptor 1 kinase activity is required for regulating collagen IV synthesis CM Borza, Y Su, TL Tran, L Yu, N Steyns, KJ Temple, MJ Skwark, J Meiler, ... Matrix Biology 57, 258-271, 2017 | 37 | 2017 |
| PconsD: ultra rapid, accurate model quality assessment for protein structure prediction MJ Skwark, A Elofsson Bioinformatics 29 (14), 1817-1818, 2013 | 33 | 2013 |
| Mycobacterial genomics and structural bioinformatics: opportunities and challenges in drug discovery VP Waman, SC Vedithi, SE Thomas, BP Bannerman, A Munir, MJ Skwark, ... Emerging Microbes & Infections 8 (1), 109-118, 2019 | 23 | 2019 |
| Membrane remodeling capacity of a vesicle‐inducing glycosyltransferase C Ge, J Gómez‐Llobregat, MJ Skwark, JM Ruysschaert, Å Wieslander, ... The FEBS journal 281 (16), 3667-3684, 2014 | 21 | 2014 |
| Computational saturation mutagenesis to predict structural consequences of systematic mutations in the beta subunit of RNA polymerase in Mycobacterium leprae SC Vedithi, CHM Rodrigues, S Portelli, MJ Skwark, M Das, DB Ascher, ... Computational and structural biotechnology journal 18, 271-286, 2020 | 19 | 2020 |
| Improved predictions by Pcons. net using multiple templates P Larsson, MJ Skwark, B Wallner, A Elofsson Bioinformatics 27 (3), 426-427, 2011 | 19 | 2011 |
| Membrane protein shaving with thermolysin can be used to evaluate topology predictors M Bendz, M Skwark, D Nilsson, V Granholm, S Cristobal, L Käll, ... Proteomics 13 (9), 1467-1480, 2013 | 15 | 2013 |
| 3D deep learning for biological function prediction from physical fields V Golkov, MJ Skwark, A Mirchev, G Dikov, AR Geanes, J Mendenhall, ... 2020 International Conference on 3D Vision (3DV), 928-937, 2020 | 14 | 2020 |
| Mabellini: a genome-wide database for understanding the structural proteome and evaluating prospective antimicrobial targets of the emerging pathogen Mycobacterium abscessus MJ Skwark, PHM Torres, L Copoiu, B Bannerman, RA Floto, TL Blundell Database 2019, 2019 | 14 | 2019 |
| Genome3D: integrating a collaborative data pipeline to expand the depth and breadth of consensus protein structure annotation I Sillitoe, A Andreeva, TL Blundell, DWA Buchan, RD Finn, J Gough, ... Nucleic acids research 48 (D1), D314-D319, 2020 | 9 | 2020 |
| HARP: a database of structural impacts of systematic missense mutations in drug targets of Mycobacterium leprae SC Vedithi, S Malhotra, MJ Skwark, A Munir, M Acebrón-García-De-Eulate, ... Computational and structural biotechnology journal 18, 3692-3704, 2020 | 9 | 2020 |
Arne ElofssonScience for Life Laboratory and department of Biochemistry and Biophysics, Stockholm UniversityVerified email at bioinfo.se
