Marcin J. Skwark

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 8

Top Topics

Physicochemical Properties

Subcellular Localization

Top Venues

PLoS Comput. Biol.

Database J. Biol. Databases Curation

Publications

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 (2023)
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 (2020)
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) (2020)
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)
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 (2019)
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 (2017)
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) (2017)
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)
Christoph Feinauer, Marcin J. Skwark, Andrea Pagnani, Erik Aurell
Improving Contact Prediction along Three Dimensions. PLoS Comput. Biol. 10 (10) (2014)
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)
Mirco Michel, Sikander Hayat, Marcin J. Skwark, Chris Sander, Debora S. Marks, Arne Elofsson
PconsFold: improved contact predictions improve protein models. Bioinform. 30 (17) (2014)
Marcin J. Skwark, Abbi Abdel-Rehim, Arne Elofsson
PconsC: combination of direct information methods and alignments improves contact prediction. Bioinform. 29 (14) (2013)
Marcin J. Skwark, Arne Elofsson
PconsD: ultra rapid, accurate model quality assessment for protein structure prediction. Bioinform. 29 (14) (2013)
Per Larsson, Marcin J. Skwark, Björn Wallner, Arne Elofsson
Improved predictions by Pcons.net using multiple templates. Bioinform. 27 (3) (2011)
Håkan Viklund, Andreas Bernsel, Marcin J. Skwark, Arne Elofsson
SPOCTOPUS: a combined predictor of signal peptides and membrane protein topology. Bioinform. 24 (24) (2008)