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- May 6, 2021.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Author Information
- Kamil Kaminski1,
- Jan Ludwiczak1,2,
- Maciej Jasinski1,
- Adriana Bukala1,
- Rafal Madaj3,
- Krzysztof Szczepaniak1 and
- Stanislaw Dunin-Horkawicz1,*
- 1Laboratory of Structural Bioinformatics, Centre of New Technologies, University of Warsaw, 02-097 Warsaw, Poland
- 2Laboratory of Bioinformatics, Nencki Institute of Experimental Biology, Pasteura 3, 02-093 Warsaw, Poland
- 3Centre of Molecular and Macromolecular Studies, Polish Academy of Sciences, Sienkiewicza 112, 90-363, Lodz, Poland
- ↵*Corresponding author. E-mail address: s.dunin-horkawicz{at}cent.uw.edu.pl
Posted May 06, 2021.
Graph neural networks and sequence embeddings enable the prediction and design of the cofactor specificity of Rossmann fold proteins
