Author

Johanne Lund

Technical University of DenmarkORCID 0009-0001-1693-8744Unclaimed 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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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Morten NielseniD· 2 shared Pilar Ballesteros-CuarteroiD· 1 shared Sebastian Nymann DeleuraniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 2 mutual co-author links

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2 shared papersBioinformatics

Morten NielsenORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 15, 2026

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

Johanne Lund, Sebastian Nymann Deleuran, Morten Nielsen

The paper introduces TCRdenoise, a method to denoise TCR-pMHC interaction data by clustering and similarity metrics, improving the quality of training data for predictive models.

DOI 10.64898/2026.09.03.749070

proteomicsstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 28, 2026

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

Pilar Ballesteros-Cuartero, Johanne Lund, Morten Nielsen

The paper shows label noise limits TCR-pMHC specificity prediction and improves performance using AlphaFold3 and denoising.

DOI 10.64898/2026.08.25.746957

protein structuredeep learning

𝕏 PostBluesky