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Open access Sep 2026

TCRdenoise - an unsupervised similarity-based approach for denoising of TCR-pMHC specificity data

Public repositories of T cell receptor (TCR)-peptide-MHC (pMHC) interactions constitute a critical resource for studying adaptive immunity and developing predictive models of TCR specificity. However, recent evidence suggests that a substantial fraction of reported TCR-pMHC interactions may be incorrectly annotated, li...

J. Lund, S. Deleuran, Morten Nielsen · 0 citations
Open access Aug 2026

Label Noise Limits TCR-pMHC Specificity Prediction: Improved Performance Through AlphaFold3-Based Structural Modeling and Data Denoising

It is shown that combining structural modeling with label denoising substantially improves TCR-pMHC specificity prediction, making such approaches an attractive complement to current sequence-based approaches for refining TCR target selection.

Pilar Ballesteros-Cuartero, J. Lund, Morten Nielsen · 1 citation · ⚡1

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