Author

Maciej Jasiński

University of WarsawORCID 0000-0001-6467-2752Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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 Krzysztof SzczepaniakiD· 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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Adriana Bukala

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsBriefings in BioinformaticsPeer-reviewedSep 8, 2021

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…·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.

58 citations

protein sequencedeep learning

𝕏 PostBluesky