Related Concept Videos
Protein Glycosylation
Glycosylation occurs in...
Oligosaccharide Assembly
Multiple sugar molecules that may or may...
Glycocalyx and its Functions
Proteoglycans
You might also read
Related Articles
Articles linked to this work by shared authors, journal, and citation graph.
Non-coding genome in nail-patella syndrome: Genetic diagnosis as a guide for personalized follow-up.
<i>PyCycleBio</i>: modelling non-sinusoidal-oscillator systems in temporal biology.
Bridging worlds: connecting glycan representations with glycoinformatics via Universal Input and a canonicalized nomenclature.
Seal milk oligosaccharides rival human milk complexity and exhibit functional dynamics during lactation.
The effect of VEGF-containing bacterial cellulose/chitosan graft on regeneration in rat sciatic nerve injury.
Sub1 contributes to heart failure with preserved ejection fraction driven by aging in mice.
The BRCA1-A complex restricts replication fork reversal-dependent DNA repair in ATM deficient cells.
Signaling downstream of tumor-stroma interaction regulates mucinous colorectal adenocarcinoma apicobasal polarity.
Click-polymerized polyenamine membranes for efficient lithium extraction.
Joint trajectories of brain atrophy, white matter hyperintensities and cognition quantify brain maintenance.
Proton shuttling at electrochemical interfaces under alkaline hydrogen evolution.
Related Experiment Video
Updated: Jan 8, 2026

Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions
Published on: January 20, 2022
GlyContact analyzes glycan 3D structures at scale.
Luc Thomès1, Roman Joeres2,3,4, Zeynep Akdeniz2,3
1University Lille, CHU Lille, ULR 7364 - RADEME - Maladies RAres du DÉveloppement embryonnaire et du Métabolisme, Lille, France.
GlyContact is a new Python package for analyzing 3D glycan structures. It helps understand how glycan structure impacts function and improves predictions of lectin-glycan binding.
Area of Science:
- Carbohydrate chemistry and structural biology.
- Computational glycobiology and bioinformatics.
Background:
- Glycans are complex biomolecules with challenging structural characterization, hindering the understanding of their structure-function relationships.
- Existing databases like GlycoShape offer 3D glycan structures from simulations, but tools for their analysis are needed.
Purpose of the Study:
- To introduce GlyContact, an open-source Python package for retrieving, processing, and analyzing 3D glycan structures.
- To demonstrate GlyContact's utility in exploring glycan structural dynamics and their impact on biological interactions.
Main Methods:
- Development of the GlyContact Python package for glycan structure analysis.
- Utilizing molecular dynamics (MD) simulations, NMR, and X-ray crystallography data.
- Application of von Mises graph neural networks for predicting disaccharide torsion angle distributions.
Main Results:
- GlyContact reveals the influence of sequence context on glycan motif structure.
- The package provides insights into glycan flexibility and surface accessibility, improving lectin-binding prediction by approximately 7%.
- Accurate prediction of torsion angle distributions between disaccharides was achieved.
Conclusions:
- GlyContact facilitates the exploration of 3D glycan structures, offering valuable insights into their biological functions.
- The tool enhances the understanding of glycan-lectin interactions and structural dynamics.
- GlyContact is an open-access resource empowering researchers in glycobiology.

