The O-GlcNAc Database

The O-GlcNAc Database catalogs O-linked N-acetylglucosamine (O-GlcNAc) modifications and their sites across species to support analysis of O-GlcNAcylation in protein function and signaling.

Key Features:

• Extensive data coverage: Entries cover 42 organisms and catalog over 14,500 O-GlcNAcylated proteins and more than 11,000 O-GlcNAcylation sites curated from analysis of approximately 2,200 publications.
• Automated, self-maintained workflow: A largely automated workflow supports continuous updates and maintenance of the database.
• Machine learning text mining: The workflow employs machine learning approaches for text mining of the literature.
• Open-source software foundation: The resource relies exclusively on free open-source software elements for implementation and sustainability.
• Adaptable database model: The database architecture and workflow serve as a framework adaptable for establishing new scientific online databases.

Scientific Applications:

• Protein modification research: Enables identification and analysis of O-GlcNAcylated proteins and modification sites for studies of post-translational regulation.
• Cellular signaling studies: Supports investigation of O-GlcNAcylation roles in cellular signaling pathways.
• Disease and therapeutic research: Facilitates research into the roles of O-GlcNAcylation in health and disease and investigations that may inform therapeutic strategies.
• Comparative and cross-species analyses: Provides cross-species O-GlcNAcylation data to support comparative studies across 42 organisms.

Methodology:

Data are extracted via an automated workflow that uses machine learning-based text mining of approximately 2,200 publications to identify O-GlcNAcylated proteins and sites; entries aggregate coverage across 42 organisms totaling >14,500 proteins and >11,000 sites.