GlyContact analyzes glycan 3D structures at scale

Glycans are branched, structurally diverse, and highly flexible biomolecules. These characteristics make glycoanalytics and structural characterization challenging, resulting in often unclear structure-to-function relationships. GlycoShape, currently the largest open-access database of glycan 3D structures from molecular dynamics (MD) simulations, provides an opportunity to fill this information gap. Here, we present GlyContact, an open-source Python package designed and developed to retrieve, process, and analyze glycan 3D structures, from MD, NMR, or X-ray crystallography. We demonstrate that GlyContact can (i) unveil the impact of sequence context on glycan motif structure, (ii) yield a predictive understanding of motif flexibility and surface accessibility on lectin-glycan binding, which improved lectin-binding prediction by ~ 7%, and (iii) accurately predict torsion angle distribution between disaccharides using von Mises graph neural networks. We envision that GlyContact will allow researchers to explore glycan structures within their 3D space, obtaining insights into their biological functions. GlyContact is available open-access at https://github.com/lthomes/glycontact .

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Publication Details

Journal
Nature Communications
Published
2025-12-12
DOI
https://doi.org/10.1038/s41467-025-67590-y
Citations
1
Primary Topic
Glycosylation and Glycoproteins Research
Type
article
Field-Weighted Citation Impact
0.81

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article

GlyContact analyzes glycan 3D structures at scale

Roman Joeres, Daniel Bojar, Luc Thomès, Zeynep Akdeniz
1 citations
Nature Communications
Glycosylation and Glycoproteins Research
0.81
article

GlyContact analyzes glycan 3D structures at scale

Roman Joeres, Daniel Bojar, Luc Thomès, Zeynep Akdeniz
article en
1 citations

Abstract

Glycans are branched, structurally diverse, and highly flexible biomolecules. These characteristics make glycoanalytics and structural characterization challenging, resulting in often unclear structure-to-function relationships. GlycoShape, currently the largest open-access database of glycan 3D structures from molecular dynamics (MD) simulations, provides an opportunity to fill this information gap. Here, we present GlyContact, an open-source Python package designed and developed to retrieve, process, and analyze glycan 3D structures, from MD, NMR, or X-ray crystallography. We demonstrate that GlyContact can (i) unveil the impact of sequence context on glycan motif structure, (ii) yield a predictive understanding of motif flexibility and surface accessibility on lectin-glycan binding, which improved lectin-binding prediction by ~ 7%, and (iii) accurately predict torsion angle distribution between disaccharides using von Mises graph neural networks. We envision that GlyContact will allow researchers to explore glycan structures within their 3D space, obtaining insights into their biological functions. GlyContact is available open-access at https://github.com/lthomes/glycontact .

Nature CommunicationsVol. 16(1)
Université de Lille (FR), Centre Hospitalier Universitaire de Lille (FR), Max Planck Institute for Informatics (DE), Hochschule für Technik und Wirtschaft des Saarlandes (DE), Wallenberg Wood Science Center (SE), University of Gothenburg (SE)
Knut och Alice Wallenbergs Stiftelse, Göteborgs Universitet
Openalex Percentile: Top 21%
Glycosylation and Glycoproteins Research
0.81
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