PGxDB

PGxDB combines Anatomical Therapeutic Chemical (ATC) codes, molecular target profiles, genetic variability, and predicted variant effects to enable pharmacogenomics research and support clinical decision-making.

Key Features:

• ATC code integration: Medications are indexed with Anatomical Therapeutic Chemical (ATC) codes to organize drug classifications.
• Molecular target profiling: The platform incorporates molecular target profiles linked to genetic variability data.
• Variant effect prediction: Predicted variant effects are integrated to assess the functional impact of genetic variants.
• Genetic-drug response linking: Genetic variability is linked to curated drug response variability within a single resource.
• Indication and treatment association analysis: Users can investigate indication or treatment associations through combined genetic and pharmacological data.

Scientific Applications:

• Pharmacogenomics research: Enables comprehensive analysis across genetic and drug response data types to inform cell-based validations and translational treatment strategies.
• Drug discovery: Supports the identification and development of new therapeutic approaches through integrated genetic and drug target analysis.
• Clinical decision-making: Provides a resource to link patient genetic profiles to drug response variability for personalized treatment selection.
• Personalized medicine: Facilitates investigation of how individual genetic makeup influences medication response for tailored therapeutic regimens.

Methodology:

PGxDB was developed using a pipeline that uniquely combines the relationship between medications indexed with ATC codes with molecular target profiles, their genetic variability, and predicted variant effects.