Technical University of Denmark

Self-supervised encoder for tandem mass spectra that learns proteomics representations from 1.63 billion MS/MS scans with no peptide labels.

Sleep foundation model whose frozen encoder scores polysomnography events, predicts incident disease, and transfers to wearable EEG and actigraphy.

Transmembrane topology predictor that calls re-entrant regions and interfacial helices, and assigns each protein to one of 17 biological membranes.

Activation domain predictor scoring transcriptional activator strength from protein sequence, with a 20-model ensemble that reports uncertainty.

All-atom structure prediction for arbitrary biomolecular complexes of proteins, nucleic acids, and ligands, with code and weights under a BSD license.

Whole-genome bacterial pathogenicity prediction from ProtT5 embeddings, alignment-free and taxonomy-agnostic, with per-protein attention scores.

Spatial transcriptomics foundation model learning subcellular transcript positions and cell-niche context from 17 million Xenium single cells.

Manufacturing-aware generative sequence models whose parameters are DNA synthesis reaction conditions, so designs are made in vitro at petascale.

Transmembrane topology predictor covering alpha-helical and beta-barrel proteins, with per-residue labels and signal peptide cleavage sites.