O-Glycologue

O-Glycologue simulates O-linked glycosylation biosynthetic networks by modeling enzymatic reactions with a knowledge-based formal-language system to analyze glycan biosynthesis and predict enzyme requirements.


Key Features:

  • Simulation of biosynthetic enzymes: Uses regular-expression-based substitutions on string representations of glycans to model enzymatic reactions.
  • Formal-language-based modeling: Employs a formal-language-based approach using regular expressions to represent and manipulate glycan structures.
  • Flexible input formats: Accepts glycans in GlycoCT condensed format and IUPAC condensed names.
  • Network export capability: Exports resulting glycosylation reaction networks as Systems Biology Markup Language (SBML).
  • Enzyme knockout analysis: Simulates effects of knocking out different sets of enzyme activities for comparative analysis.
  • Predictive modeling: Predicts the set of enzymes required to produce a given substrate, exemplified for an O-glycan from human gastric mucin.
  • Adaptation to other glycosylation systems: Has been adapted to model other systems such as ganglioside oligosaccharide synthesis.

Scientific Applications:

  • Pathway analysis: Understanding the biochemical pathways involved in glycan synthesis.
  • Study of enzyme perturbations: Investigating the impact of enzyme deficiencies or mutations on glycosylation processes.
  • Therapeutic target exploration: Exploring potential therapeutic targets within glycosylation pathways.

Methodology:

Models enzymatic reactions using a formal-language-based approach that represents and manipulates glycan structures with regular expressions and applies regular-expression-based substitutions on string representations of glycans.

Topics

Details

License:
Not licensed
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Mac, Windows
Programming Languages:
Python
Added:
4/10/2022
Last Updated:
4/10/2022

Operations

Publications

McDonald AG, Davey GP. O-Glycologue: A Formal-Language-Based Generator of O-Glycosylation Networks. Methods in Molecular Biology. 2021. doi:10.1007/978-1-0716-1685-7_11. PMID:34611872.