PT  - JOURNAL ARTICLE
AU  - Theodore Groth
AU  - Rudiyanto Gunawan
AU  - Alexander D. Diehl
AU  - Sriram Neelamegham
TI  - GlycoEnzOnto: A GlycoEnzyme Pathway and Molecular Function Ontology
AID  - 10.1101/2022.06.06.493779
DP  - 2022 Jan 01
TA  - bioRxiv
PG  - 2022.06.06.493779
4099  - http://biorxiv.org/content/early/2022/06/08/2022.06.06.493779.short
4100  - http://biorxiv.org/content/early/2022/06/08/2022.06.06.493779.full
AB  - The ‘glycoEnzymes’ include a set of proteins having related enzymatic, metabolic, transport, structural and cofactor functions. Current there is no established ontology to describe glycoEnzyme properties and to relate them to glycan biosynthesis pathways. We present GlycoEnzOnto, an ontology describing 386 human glycoEnzymes curated along 135 glycosylation pathways, 134 molecular functions and 22 cellular compartments. The pathways described regulate nucleotide-sugar metabolism, glycosyl-substrate/donor transport, glycan biosynthesis, and degradation. The role of each enzyme in the glycosylation initiation, elongation/branching, and capping/termination phases is described. IUPAC linear strings present systematic human/machine readable descriptions of individual reaction steps and enable automated knowledge-based curation of biochemical networks. All GlycoEnzOnto knowledge is integrated with the Gene Ontology (GO) biological processes. GlycoEnzOnto enables improved transcript overrepresentation analyses and glycosylation pathway identification compared to other available schema, e.g. KEGG and Reactome. Overall, GlycoEnzOnto represents a holistic glycoinformatics resource for systems-level analyses.Availability https://github.com/neel-lab/GlycoEnzOntoCompeting Interest StatementThe authors have declared no competing interest.