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Marcin J. Skwark
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2020 – today
- 2023
- [j11]Karim Beguir, Marcin J. Skwark
, Yunguan Fu
, Thomas Pierrot, Nicolás López Carranza, Alexandre Laterre, Ibtissem Kadri, Abir Korched, Anna U. Lowegard
, Bonny Gaby Lui, Bianca Sänger, Yunpeng Liu, Asaf Poran
, Alexander Muik
, Ugur Sahin:
Early computational detection of potential high-risk SARS-CoV-2 variants. Comput. Biol. Medicine 155: 106618 (2023) - 2020
- [j10]Ian Sillitoe
, Antonina Andreeva
, Tom L. Blundell, Daniel W. A. Buchan, Robert D. Finn
, Julian Gough, David T. Jones, Lawrence A. Kelley, Typhaine Paysan-Lafosse
, Su Datt Lam
, Alexey G. Murzin, Arun Prasad Pandurangan
, Gustavo A. Salazar
, Marcin J. Skwark
, Michael J. E. Sternberg
, Sameer Velankar
, Christine A. Orengo:
Genome3D: integrating a collaborative data pipeline to expand the depth and breadth of consensus protein structure annotation. Nucleic Acids Res. 48(Database-Issue): D314-D319 (2020) - [c2]Vladimir Golkov, Marcin J. Skwark
, Atanas Mirchev, Georgi Dikov, Alexander R. Geanes, Jeffrey L. Mendenhall, Jens Meiler, Daniel Cremers
:
3D Deep Learning for Biological Function Prediction from Physical Fields. 3DV 2020: 928-937 - [i2]Marcin J. Skwark, Nicolás López Carranza, Thomas Pierrot, Joe Phillips, Slim Said, Alexandre Laterre, Amine Kerkeni, Ugur Sahin, Karim Beguir:
Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning. CoRR abs/2012.01736 (2020)
2010 – 2019
- 2019
- [j9]Marcin J. Skwark
, Pedro Henrique Monteiro Torres
, Liviu Copoiu
, Bridget Bannerman-Chukualim
, R. Andres Floto, Tom L. Blundell:
Mabellini: a genome-wide database for understanding the structural proteome and evaluating prospective antimicrobial targets of the emerging pathogen Mycobacterium abscessus. Database J. Biol. Databases Curation 2019: baz113 (2019) - 2017
- [j8]Mirco Michel, Marcin J. Skwark
, David Menéndez Hurtado, Magnus Ekeberg, Arne Elofsson:
Predicting accurate contacts in thousands of Pfam domain families using PconsC3. Bioinform. 33(18): 2859-2866 (2017) - [i1]Vladimir Golkov, Marcin J. Skwark, Atanas Mirchev, Georgi Dikov, Alexander R. Geanes, Jeffrey L. Mendenhall, Jens Meiler, Daniel Cremers:
3D Deep Learning for Biological Function Prediction from Physical Fields. CoRR abs/1704.04039 (2017) - 2016
- [c1]Vladimir Golkov, Marcin J. Skwark, Antonij Golkov, Alexey Dosovitskiy, Thomas Brox, Jens Meiler, Daniel Cremers:
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images. NIPS 2016: 4215-4223 - 2014
- [j7]Mirco Michel, Sikander Hayat
, Marcin J. Skwark
, Chris Sander, Debora S. Marks, Arne Elofsson:
PconsFold: improved contact predictions improve protein models. Bioinform. 30(17): 482-488 (2014) - [j6]Christoph Feinauer, Marcin J. Skwark
, Andrea Pagnani
, Erik Aurell:
Improving Contact Prediction along Three Dimensions. PLoS Comput. Biol. 10(10) (2014) - [j5]Marcin J. Skwark
, Daniele Raimondi, Mirco Michel, Arne Elofsson:
Improved Contact Predictions Using the Recognition of Protein Like Contact Patterns. PLoS Comput. Biol. 10(11) (2014) - 2013
- [j4]Marcin J. Skwark
, Abbi Abdel-Rehim, Arne Elofsson:
PconsC: combination of direct information methods and alignments improves contact prediction. Bioinform. 29(14): 1815-1816 (2013) - [j3]Marcin J. Skwark
, Arne Elofsson:
PconsD: ultra rapid, accurate model quality assessment for protein structure prediction. Bioinform. 29(14): 1817-1818 (2013) - 2011
- [j2]Per Larsson, Marcin J. Skwark
, Björn Wallner
, Arne Elofsson
:
Improved predictions by Pcons.net using multiple templates. Bioinform. 27(3): 426-427 (2011)
2000 – 2009
- 2008
- [j1]Håkan Viklund, Andreas Bernsel, Marcin J. Skwark
, Arne Elofsson
:
SPOCTOPUS: a combined predictor of signal peptides and membrane protein topology. Bioinform. 24(24): 2928-2929 (2008)
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