My research centers on glycobiology, AI, and systems biology. Glycans modify animal proteins/lipids, modulating interactions and processes. This makes them crucial in pathologies, from viruses using glycans as receptors to cancer cells using glycans to evade the immune system. To understand sequence-to-function relationships in normal physiology and crucial disease processes, we develop and apply computational and experimental methods to uncover glycan diversity, biosynthesis, and function.
Daniel Bojar
University of Gothenburg
Keywords
Key Publications
Expressing glycan motifs as a containment order increases sensitivity and uncovers motif redistributions
2026
Enzyme-Linked Cycloaddition Assay (ELCA) for rapid, ultra-sensitive monitoring of secreted sialoglycoproteins
2026
GlycoForge generates realistic glycomics data under known ground truth for rigorous method benchmarking
2026
PyCycleBio: modelling non-sinusoidal-oscillator systems in temporal biology
Bioinformatics Advances, 2026