GlycoDraw: a python implementation for generating high-quality glycan figures

Author:

Lundstrøm Jon12,Urban James12,Thomès Luc12,Bojar Daniel12ORCID

Affiliation:

1. Department of Chemistry and Molecular Biology, University of Gothenburg , Medicinaregatan 9C, 41390 Gothenburg, Västra Götaland , Sweden

2. Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg , Medicinaregatan 9C, 41390 Gothenburg, Västra Götaland , Sweden

Abstract

Abstract Glycans are essential to all scales of biology, with their intricate structures being crucial for their biological functions. The structural complexity of glycans is communicated through simplified and unified visual representations according to the Symbol Nomenclature for Glycans (SNFGs) guidelines adopted by the community. Here, we introduce GlycoDraw, a Python-native implementation for high-throughput generation of high-quality, SNFG-compliant glycan figures with flexible display options. GlycoDraw is released as part of our glycan analysis ecosystem, glycowork, facilitating integration into existing workflows by enabling fully automated annotation of glycan-related figures and thus assisting the analysis of e.g. differential abundance data or glycomics mass spectra.

Funder

Knut and Alice Wallenberg Foundation

University of Gothenburg

Publisher

Oxford University Press (OUP)

Subject

Biochemistry

Reference23 articles.

1. SugarSketcher: quick and intuitive online glycan drawing;Alocci;Molecules,2018

2. CSDB/SNFG structure editor: an online glycan builder with 2D and 3D structure visualization;Bochkov;J Chem Inf Model,2021

3. GlycoWorkbench: a tool for the computer-assisted annotation of mass spectra of Glycans;Ceroni;J Proteome Res,2008

4. DrawGlycan-SNFG: a robust tool to render glycans and glycopeptides with fragmentation information;Cheng;Glycobiology,2017

5. DrawGlycan-SNFG and gpAnnotate: rendering glycans and annotating glycopeptide mass spectra;Cheng;Bioinformatics,2020

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