DRAR-CPI

DRAR-CPI predicts adverse drug reactions (ADRs) and identifies drug repositioning opportunities by mining chemical-protein interactomes.

Key Features:

• Chemical-Protein Interactome Mining: Uses a comprehensive database of chemical-protein interactions (CPI) to detect potential off-target effects of drug molecules.
• Drug Repositioning: Analyzes interaction profiles between submitted drug molecules and a curated library of existing drugs to produce positive or negative association scores for potential new indications.
• Adverse Drug Reaction Prediction: Assesses the likelihood of unexpected interactions between drug molecules and targetable human proteins to predict potential ADRs.
• Validation and Accuracy: Validates predictions against gene-expression profile-based drug-drug associations, reporting a 74% matching rate.
• Notable Predictions: Has identified potential connections between anti-psychotic drugs and anti-infectives, suggesting possible repurposing avenues.

Scientific Applications:

• Drug Repositioning: Prioritizes existing drugs for new therapeutic uses based on CPI-derived association scores.
• Pharmacovigilance: Supports ADR risk assessment by predicting unexpected chemical-protein interactions that may underlie adverse reactions.

Methodology:

Constructs a representative collection of drug molecules and targetable human proteins, mines chemical-protein interactomes to compute CPI profiles, derives positive and negative association scores between query molecules and a curated drug library, and validates predictions against gene-expression profile-based drug-drug associations.