Author

Dawid Uchal

University of Warsaw

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Abdelkader Benyagoub· 1 shared Agata P. PerlinskaiD· 1 shared Alexander LobodaiD· 1 shared Bernd BodenmilleriD· 1 shared Bruno Palau FernandeziD· 1 shared Daaf Sandkuijl· 1 shared Daniel SchulziD· 1 shared Denisa ŠrámkováiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperCancer Biology

Abdelkader Benyagoub

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2 papers

Recent·Most cited

Multi-modal image analysis for large scale cancer tissue studies within IMMUcan

Nils Eling, Julien Dorier, Sylvie Rusakiewicz, Robin Liechti, P Devanand, Michelle Daniel, Jonas Windhager, Bruno Palau Fernandez, Sophie Déglise, Lucie Despland, Abdelkader Benyagoub, Marcin Możejko, Dawid Uchal, Ewa Szczurek, Alexander Loboda, , Daniel Schulz

The paper presents two workflows for analyzing multiplexed imaging data from cancer tissues, applied to over 10,000 samples from 2500 patients, enabling large-scale tumor microenvironment studies.

Cell Reports Methods · Sep 1, 2025Peer-reviewedCancer Biology

Knot or Not? Sequence-Based Identification of Knotted Proteins With Machine Learning

Maciej Sikora, Eva Klimentová, Dawid Uchal, Denisa Šrámková, Agata P. Perlinska, Mai Lan Nguyen, Marta Korpacz, Roksana Malinowska, Szymon Nowakowski, Paweł Rubach, Petr Šimeček, Joanna Ida Sulkowska

This study uses machine learning to predict protein knotting from amino acid sequences, achieving 98.5% accuracy using AlphaFold predictions and UniProt data.

Protein Science · Jun 18, 2024Peer-reviewedBioinformatics