Author

Christoph Reinhart

ORCID 0000-0002-3580-1807Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Assay:proteomics· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alexander Sinclair· 2 shared Hoor Al-HasaniiD· 2 shared Jennifer Stehle· 2 shared Jörg BirkenfeldiD· 2 shared Oliver Selinger-LutziD· 2 shared Pranav Hamde· 2 shared Simon SchusteriD· 2 shared Stefan KrämeriD· 2 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersImmunology

Alexander Sinclair

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2 papers

Recent·Most cited

Systematic De-Risking of TCR-Mimic Therapeutics Through Proteome-Wide Off-Target Landscaping and a Generalizable Design Rule Framework

Simon Schuster, Frederike A. Hartl, Jennifer Stehle, Fabian Beier, Hoor Al-Hasani, Christoph Reinhart, Tsai‐Hsuan Weng, Stefan Krämer, Pranav Hamde, Tobias Herz, Sebastian Oesterlin, Marco Schmidt, Tabea Gross, Luca Stehl, Normann Kilb, , Jörg Birkenfeld

This paper introduces ValidaTe, a framework to predict and mitigate off-target liabilities in TCR-mimic antibodies, demonstrating its effectiveness with CTA MAGE-A4 targets.

bioRxiv · Aug 4, 2026 · PreprintImmunology

Beyond Sequence Similarity: ML-Powered Identification of pHLA Off-Targets for TCR-Mimic Antibodies Using High Throughput Binding Kinetics

Alexander Sinclair, Stefan Krämer, Christoph Reinhart, Jennifer Stehle, Simon Schuster, Tobias Herz, Hoor Al-Hasani, Pranav Hamde, Oliver Selinger, Jörg Birkenfeld

This paper introduces EpiPredict, a machine learning framework that identifies off-target pHLA interactions for TCRm antibodies beyond sequence similarity, validated through experimental assays.

mAbs · Dec 11, 2025Peer-reviewedImmunology