Machine Learning predictions of peptide behaviour for improved identification of modified peptides

Doctoral project Nick Versmessen

Doctoral project Helder Opdebeeck

Putting the AI in DIA - building an ML-driven multi-modification engine

Enriching context-aware protein embedding models with 3-D structural information for improved protein secretability and kinase substrate site prediction

A novel era in proteomics-based protein PTM discovery through deep learning approaches