Author

Jens Bauer

Universitätsklinikum TübingenORCID 0000-0003-3731-2385Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Annika NeldeiD· 2 shared Jonas ScheidiD· 2 shared Josua StadelmaieriD· 2 shared Juliane Sarah WalziD· 2 shared Sven NahnseniD· 2 shared Alina BaueriD· 1 shared Axel WalteriD· 1 shared Elias Ball· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBioinformatics

Annika NeldeORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 10, 2026

Deep learning enables direct HLA typing from immunopeptidomics data

Matteo Pilz, Jonas Scheid, Alina Bauer…·Juliane Sarah Walz

This paper introduces Immunotype, a deep learning model that directly types HLA alleles from immunopeptidomics data with 87.2% accuracy.

DOI 10.64898/2026.04.08.717021

humanproteomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 6, 2026

t2pmhc: A Structure-Informed Graph Neural Network to predict TCR-pMHC Binding

Mark Polster, Josua Stadelmaier, Elias Ball…·Sven Nahnsen

The paper introduces t2pmhc, a structure-informed graph neural network for predicting TCR-pMHC binding, showing improved generalization to unseen peptides compared to existing methods.

1 citation

protein structuregraph neural network

𝕏 PostBluesky