ProGlycProt

ProGlycProt provides a manually curated database of bacterial and archaeal glycoproteins with experimentally validated glycosites to support analysis of prokaryotic protein glycosylation.

Key Features:

• Comprehensive data sections: Two sections — ProCGP contains 95 glycoprotein entries with characterized glycosites and ProUGP contains 245 entries with reported glycosylation but uncharacterized glycosites.
• Detailed cross-referencing: Entries include source organism, coding gene, protein features and structure, glycosylation type, attached glycans, associated enzymes such as oligosaccharyltransferases (OSTs) and glycosyltransferases (GTs), literature references, and related annotations.
• Unique entries relative to Swiss‑Prot: The database reports 174 entries with information not annotated in the Swiss‑Prot release of July 2011.
• Structural insights: A gallery provides homology models and available crystal structures for characterized glycoproteins.
• Sequon analysis tools: Two computational tools support investigation of prokaryotic sequons to analyze sequence contexts surrounding glycosites that differ from eukaryotic glycosylation signatures.

Scientific Applications:

• Glycobiology and microbial proteomics: Provides curated data on 334 experimentally identified glycosites and 340 prokaryotic glycoproteins for glycobiology and microbial proteomics studies.
• Protein structure–function analysis: Enables investigation of protein function and structure–function relationships using characterized glycosites together with homology models and crystal structures.
• Comparative and evolutionary analysis: Facilitates comparative and evolutionary studies of prokaryotic glycosylation systems and associated enzymes (OSTs and GTs).
• Biotechnological applications: Supports applications involving prokaryotic glycoproteins and their associated enzymes.

Methodology:

Compilation of literature-supported entries, provision of available crystal structures, generation and inclusion of homology models, and two computational tools for prokaryotic sequon analysis.