Author

Krzysztof Szczepaniak

University of WarsawORCID 0000-0002-6409-8348Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Adriana Bukala· 1 shared Jan LudwiczakiD· 1 shared Kamil Kamiński· 1 shared Maciej JasińskiiD· 1 shared Rafał MadajiD· 1 shared Stanisław Dunin-HorkawicziD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Adriana Bukala

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1 paper

Recent·Most cited

Rossmann-toolbox: a deep learning-based protocol for the prediction and design of cofactor specificity in Rossmann-fold proteins

Kamil Kamiński, Jan Ludwiczak, Maciej Jasiński, Adriana Bukala, Rafał Madaj, Krzysztof Szczepaniak, Stanisław Dunin-Horkawicz

This paper develops deep learning models to predict and design cofactor specificity in Rossmann-fold proteins, achieving nearly perfect accuracy in benchmark tests.

Briefings in Bioinformatics · Sep 8, 2021Peer-reviewedBioinformatics