GlycoEnzOnto

GlycoEnzOnto provides a structured ontology that captures 403 human glycoenzymes and their roles in glycan biosynthesis to standardize descriptions of molecular functions, cellular compartments, and enzymatic reaction steps.


Key Features:

  • Curated Glycoenzyme Dataset: GlycoEnzOnto encompasses 403 human glycoenzymes curated across 139 glycosylation pathways.
  • Molecular Functions and Cellular Compartments: The ontology annotates 134 distinct molecular functions and assigns glycoenzymes to 22 cellular compartments.
  • Pathway Regulation and Enzyme Roles: It describes pathways including nucleotide-sugar metabolism, glycosyl-substrate/donor transport, biosynthesis and degradation of glycans, and delineates enzyme roles in initiation, elongation/branching, and capping/termination phases.
  • Reaction Step Formalism (IUPAC linear strings): Individual reaction steps are encoded as IUPAC linear strings to provide systematic human- and machine-readable descriptions.
  • Integration with Gene Ontology: GlycoEnzOnto integrates with Gene Ontology biological processes to support transcript overrepresentation analyses and more precise glycosylation pathway identification compared to KEGG and Reactome.

Scientific Applications:

  • Systems-Level Analyses: Serves as a resource for systems-level analyses of glycan biosynthesis networks.
  • Transcript Overrepresentation and Pathway Identification: Supports improved transcript overrepresentation analyses and glycosylation pathway identification relative to KEGG and Reactome.
  • Cross-Database Research Integration: Facilitates correlation of glycoenzyme functions with broader biological pathways via integration with Gene Ontology.

Methodology:

Reaction steps are encoded as IUPAC linear strings to produce systematic human- and machine-readable descriptions; the ontology integrates with Gene Ontology to enable transcript overrepresentation analyses and supports automated knowledge-based curation of biochemical networks.

Topics

Details

License:
CC-BY-4.0
Cost:
Free of charge
Tool Type:
plugin
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
2/26/2023
Last Updated:
11/24/2024

Operations

Publications

Groth T, Diehl AD, Gunawan R, Neelamegham S. GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology. Bioinformatics. 2022;38(24):5413-5420. doi:10.1093/bioinformatics/btac704. PMID:36282863. PMCID:PMC9750110.

PMID: 36282863
PMCID: PMC9750110
Funding: - Systems Biology: R01HL103411 - NIH: U01CA221229

Documentation