Author

David Wagemann

Technical University of MunichORCID 0009-0005-4573-0781Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

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Burkhard RostiD· 1 shared Julius SchlensokiD· 1 shared Markus HaakiD· 1 shared Tobias SenoneriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Burkhard RostORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJan 28, 2026

UdonPred: Untangling Protein Intrinsic Disorder Prediction

Julius Schlensok, David Wagemann, Tobias Senoner…·Burkhard Rost

UdonPred predicts per-residue protein disorder from sequence using embeddings from ProstT5, showing that annotation quality, not model capacity, drives performance in continuous disorder prediction.

DOI 10.64898/2026.01.26.701679

protein sequencedeep learning

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