Marcin J. Skwark

According to our database, Marcin J. Skwark authored at least 14 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Early computational detection of potential high-risk SARS-CoV-2 variants.

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

Comput. Biol. Medicine, March, 2023

2020

Genome3D: integrating a collaborative data pipeline to expand the depth and breadth of consensus protein structure annotation.

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

Nucleic Acids Res., 2020

Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning.

Marcin J. Skwark, Nicolás López Carranza, Thomas Pierrot, Joe Phillips, Slim Said, Alexandre Laterre, Amine Kerkeni, Ugur Sahin, Karim Beguir

CoRR, 2020

3D Deep Learning for Biological Function Prediction from Physical Fields.

Vladimir Golkov, Marcin J. Skwark, Atanas Mirchev, Georgi Dikov, Alexander R. Geanes, Jeffrey L. Mendenhall, Jens Meiler, Daniel Cremers

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Mabellini: a genome-wide database for understanding the structural proteome and evaluating prospective antimicrobial targets of the emerging pathogen Mycobacterium abscessus.

Marcin J. Skwark, Pedro Henrique Monteiro Torres, Liviu Copoiu, Bridget Bannerman-Chukualim, R. Andres Floto, Tom L. Blundell

Database J. Biol. Databases Curation, 2019

2017

Predicting accurate contacts in thousands of Pfam domain families using PconsC3.

Mirco Michel, Marcin J. Skwark, David Menéndez Hurtado, Magnus Ekeberg, Arne Elofsson

Bioinform., 2017

2016

Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images.

Vladimir Golkov, Marcin J. Skwark, Antonij Golkov, Alexey Dosovitskiy, Thomas Brox, Jens Meiler, Daniel Cremers

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2014

Improved Contact Predictions Using the Recognition of Protein Like Contact Patterns.

Marcin J. Skwark, Daniele Raimondi, Mirco Michel, Arne Elofsson

PLoS Comput. Biol., 2014

Improving Contact Prediction along Three Dimensions.

Christoph Feinauer, Marcin J. Skwark, Andrea Pagnani, Erik Aurell

PLoS Comput. Biol., 2014

PconsFold: improved contact predictions improve protein models.

Mirco Michel, Sikander Hayat, Marcin J. Skwark, Chris Sander, Debora S. Marks, Arne Elofsson

Bioinform., 2014

2013

PconsD: ultra rapid, accurate model quality assessment for protein structure prediction.

Marcin J. Skwark, Arne Elofsson

Bioinform., 2013

PconsC: combination of direct information methods and alignments improves contact prediction.

Marcin J. Skwark, Abbi Abdel-Rehim, Arne Elofsson

Bioinform., 2013

2011

Improved predictions by Pcons.net using multiple templates.

Per Larsson, Marcin J. Skwark, Björn Wallner, Arne Elofsson

Bioinform., 2011

2008

SPOCTOPUS: a combined predictor of signal peptides and membrane protein topology.

Håkan Viklund, Andreas Bernsel, Marcin J. Skwark, Arne Elofsson

Bioinform., 2008