Author

Jonas Teuwen

The Netherlands Cancer InstituteORCID 0000-0002-1825-1428Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:protein structure· 1

Frequent Co-Authors

Eric MarcusiD· 3 shared Anastassis Perrakis AiD· 2 shared Bjørn P. Y. KweeiD· 2 shared Daniel Álvarez SalmoraliD· 2 shared Marius MessemakeriD· 2 shared Roderick L. BeijersbergeniD· 2 shared Ton N. SchumacheriD· 2 shared Wouter ScheperiD· 2 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersImmunology

Eric MarcusORCID

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3 papers

Recent·Most cited

ImmunologyImmunityPeer-reviewedOct 1, 2026

A functionally validated TCR-pMHC database for TCR specificity model development

Marius Messemaker, Bjørn P. Y. Kwee, Živa Moravec…·Ton N. Schumacher

The paper develops a validated TCR-pMHC database (TCRvdb) by assessing VDJdb entries with a high-throughput platform, finding only 50% of claims are functionally confirmed.

DOI 10.1016/j.immuni.2026.09.007

proteomicsdeep learning

𝕏 PostBluesky

BiochemistrybioRxivPreprintSep 9, 2025

Integrating computational protein structure predictions and genetic dependencies yields an atlas of human multi-protein complexes (AHMPC)

Michael Uckelmann, Daniel Álvarez Salmoral, Carmen Maiella…·Anastassis Perrakis A

The paper constructs an atlas of human multi-protein complexes by integrating computational structure predictions with genetic dependency data, identifying 354 high-confidence complexes including novel ones.

1 citation

humanprotein structure

𝕏 PostBluesky

BioinformaticsbioRxivPreprintApr 25, 2023

STAPLER: Efficient learning of TCR-peptide specificity prediction from full-length TCR-peptide data

Bjørn P. Y. Kwee, Marius Messemaker, Eric Marcus…·Ton N. Schumacher

STAPLER is a transformer model that predicts TCR-pMHC specificity by learning from TCR and peptide sequences, outperforming existing methods in antigen recognition prediction.

37 citations

transformer / foundation model

𝕏 PostBluesky