Author

Mark Polster

Universitätsklinikum TübingenORCID 0009-0003-5768-5020Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Assay:scRNA-seq· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Sven NahnseniD· 2 shared Alexander PeltzeriD· 1 shared Annika NeldeiD· 1 shared Cole G. JenseniD· 1 shared David Ladd· 1 shared Edel AroniD· 1 shared Elias Ball· 1 shared Friederike HansseniD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Sven NahnsenORCID

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2 papers

Recent·Most cited

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

BioinformaticsPLoS Computational BiologyPeer-reviewedJul 26, 2024

nf-core/airrflow: an adaptive immune receptor repertoire analysis workflow employing the Immcantation framework

Gisela Gabernet, Susanna Marquez, Robert D. Bjornson…·Steven H. Kleinstein

The paper introduces nf-core/airrflow, a Nextflow-based workflow for processing AIRR-seq data, validated on simulated and real datasets to analyze immune receptor repertoires.

23 citations

humanscRNA-seq

𝕏 PostBluesky