Bridging worlds: connecting glycan representations with glycoinformatics via Universal Input and a canonicalized nomenclature.

ABSTRACT:

Motivation

As the field of glycobiology has developed, so too have different glycan nomenclature systems. While each system serves specific purposes, this multiplicity creates challenges for usability, data integration, and knowledge sharing across different databases and computational tools.

Results

We present a practical framework for automated nomenclature conversion that takes any glycan nomenclature as input without requiring declaration of the specific language and outputs a canonicalized IUPAC-condensed format as a standardized representation. Our implementation handles all common nomenclatures including WURCS, GlycoCT, IUPAC-condensed/extended, GLYCAM, CSDB-linear, LinearCode, GlycoWorkbench, GlySeeker, Oxford, and KCF, along with common typos, and manages complex ca

SUBMITTER: Urban J 

PROVIDER: S-EPMC12702141 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature