Luc Thomès

GlyContact analyzes glycan 3D structures from MD, NMR, or X-ray data to understand structure-function relationships and improve AI models for lectin-glycan binding.

This paper develops a machine learning workflow to identify generalizable diagnostic ions for O-glycan isomer differentiation using a curated dataset of 237,000 spectra.

GlycoDraw generates high-quality, SNFG-compliant glycan figures in Python, enabling automated annotation and integration into glycan analysis workflows.

The paper develops a pipeline to analyze milk oligosaccharide biosynthetic networks across mammals, identifying evolutionary patterns and biosynthetic constraints.

This study analyzes fucose-containing glycan motifs across taxonomic kingdoms, identifying differences in fucose usage and its role in molecular mimicry and biological processes.

Glycowork is a Python package for glycan data science and machine learning, offering tools for annotation, visualization, and analysis of glycan data.