Delft University of Technology

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

Discrete diffusion model for protein sequence design in an all-atom SELFIES representation, reaching non-canonical and modified amino acid residues.

CRISPR-Cas9 repair outcome prediction from microhomology and sequence features, with transfer learning that adapts to a new cell line from 50 samples.