Marcin J. Skwark
Marcin J. Skwark
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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
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
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
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
Improving contact prediction along three dimensions
C Feinauer, MJ Skwark, A Pagnani, E Aurell
PLoS computational biology 10 (10), e1003847, 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
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
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
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
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
PconsD: ultra rapid, accurate model quality assessment for protein structure prediction
MJ Skwark, A Elofsson
Bioinformatics 29 (14), 1817-1818, 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
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
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
Improved predictions by Pcons. net using multiple templates
P Larsson, MJ Skwark, B Wallner, A Elofsson
Bioinformatics 27 (3), 426-427, 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
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
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
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
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
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