iGMDR

iGMDR aggregates predictive genetic models from pharmacogenetic studies to enable analysis of genome–drug interactions and prediction of anticancer drug sensitivity and toxicity.

Key Features:

• Integrated Resource: Consolidates predictive models from diverse pharmacogenetic studies, including both clinical and preclinical models.
• Genome–Drug Interaction Mining: Enables exploration of relationships between anticancer drugs and individual genomes to link genetic heterogeneity with drug response.
• Predictive Models: Hosts models that relate genetic alterations to drug sensitivity and toxicity for anticancer agents.
• Data Storage: Stores integrated genetic models and associated metadata in a MySQL database format.

Scientific Applications:

• Pharmacogenetics research: Assess genetic determinants of drug sensitivity and toxicity to inform biomarker discovery.
• Personalized oncology: Predict individual responses to anticancer therapies by mining genome–drug interactions.
• Preclinical and clinical study support: Provide a consolidated set of predictive models to support study design, hypothesis generation, and translational analyses.

Methodology:

Integration of predictive genetic models from diverse pharmacogenetic studies into a unified MySQL database to enable genome–drug interaction mining.