CTPIC

CTPIC identifies saccharides and saccharide derivatives within complex chemical structures by analyzing covalent structure to assign a probabilistic measure of saccharide identity.

Key Features:

• Advanced algorithm: Analyzes the covalent structure of chemical compounds to support saccharide identification.
• Probabilistic classification: Produces a probabilistic measure quantifying the likelihood that a molecule is a saccharide or derivative.
• Distinguishes modified molecules: Detects saccharides amid structural modifications that complicate identification by traditional methods.
• Database-scale application: Has been applied to the RCSB Ligand Expo and other large molecular datasets to expand saccharide identification.
• PDB survey results: Analysis of the Protein Data Bank using CTPIC indicated that approximately 7.7% of proteins bind saccharides.
• Characterization of bioactive moieties: Aggregates information about saccharide-related bioactive moieties within complex molecular datasets.

Scientific Applications:

• Carbohydrate biomarker identification: Supports identification of saccharides and derivatives relevant as biomarkers for cardiometabolic conditions and cancers.
• Carbohydrate-related biochemistry research: Facilitates large-scale surveys of saccharide occurrence and protein–carbohydrate interactions in molecular databases.
• Therapeutic and functional annotation: Aids characterization of saccharide-containing ligands and their potential biological roles and therapeutic relevance.

Methodology:

Uses an advanced algorithm to analyze covalent chemical structure and generate a probabilistic measure of saccharide identity.