Author

Sonia Wróbel

Primary ORCID profile (0000-0002-7921-2334 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Sonia WróbeliD1 paper

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Bartosz JanusziD· 2 shared Konrad KrawczykiD· 2 shared Paweł DudziciD· 2 shared Tadeusz Satława· 2 shared Dawid ChomicziD· 1 shared Jakub Młokosiewicz· 1 shared Jarosław Kończak· 1 shared Maciej Mycielski· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Bartosz JanuszORCID

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2 papers

Recent·Most cited

RIOT - Rapid Immunoglobulin Overview Tool - annotation of nucleotide and amino acid immunoglobulin sequences using an open germline database.

Paweł Dudzic, Bartosz Janusz, Tadeusz Satława, Dawid Chomicz, Tomasz Gawłowski, Rafał Grabowski, Przemek Jóźwiak, Mateusz Tarkowski, Maciej Mycielski, Sonia Wróbel, Konrad Krawczyk

RIOT annotates immunoglobulin sequences by handling nucleotide and amino acid data, using an open germline database, and improving speed and accuracy over existing tools.

Briefings in Bioinformatics · Nov 22, 2024Peer-reviewedBioinformatics

Structural pre-training improves physical accuracy of antibody structure prediction using deep learning.

Jarosław Kończak, Bartosz Janusz, Jakub Młokosiewicz, Tadeusz Satława, Sonia Wróbel, Paweł Dudzic, Konrad Krawczyk

The paper shows that pre-training deep learning models on physically accurate antibody structures improves the prediction of physically plausible CDR-H3 loop geometries.

ImmunoInformatics · Jun 20, 2023Peer-reviewedBioinformatics