Author

Marius Messemaker

The Netherlands Cancer InstituteORCID 0000-0002-7179-0594Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Immunology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Bjørn P. Y. KweeiD· 3 shared Ton N. SchumacheriD· 3 shared Wouter ScheperiD· 3 shared Aurélie GuislainiD· 2 shared Ben MorrisiD· 2 shared Catherine J. WuiD· 2 shared Connor A. RichterichiD· 2 shared Eric MarcusiD· 2 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersImmunology

Bjørn P. Y. KweeORCID

Mutual co-authors in cluster

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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

ImmunologybioRxivPreprintSep 15, 2026

PAIR-Scan: Single-step identification of highly potent TCR-neoantigen pairs through library-on-library screening

Marius Messemaker, Connor A. Richterich, Jule Wenner…·Ton N. Schumacher

PAIR-Scan identifies potent TCR-neoantigen pairs from tumor samples through library-on-library screening, enabling efficient analysis of T cell reactivity.

DOI 10.64898/2026.09.07.749948

humanproteomics

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