Daniel Bojar

University of Gothenburg

Key Publications
Biosynthetic glycan modeling reveals metabolic shifts in disease
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
GlyContact analyzes glycan 3D structures at scale
Nature Communications, 2025
Serum N-glycosylation is altered in Nephropathic Cystinosis
Glycobiology, 2025

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.

Last updated: 2025-03-03

Content Responsible: Hampus Pehrsson Ternström(hampus.persson@scilifelab.uu.se)