DrugMAP

DrugMAP provides a comprehensive molecular atlas and interaction network of over 30,000 drugs and drug candidates and their relationships (>200,000 interactions) with more than 5,000 interacting molecules to support analysis of pharmacokinetics, pharmacodynamics, differential expression across disease sites and ADME-relevant organs, and AI-based predictive modeling.

Key Features:

• Extensive Molecular Atlas: A molecular atlas covering over 30,000 drugs and drug candidates with associated interacting molecules for pharmacokinetic and pharmacodynamic annotation.
• Differential Expression Patterns: Differential expression data for more than 5,000 interacting molecules across disease sites, ADME-relevant organs, and physiological tissues.
• Comprehensive Interaction Network: A network containing over 200,000 drug–molecule interactions that maps relationships relevant to drug action and off-target effects.
• Facilitation of AI-Based Analyses: Structured data and interaction networks prepared to support AI-driven network analyses and predictive modeling.

Scientific Applications:

• Drug discovery and development: Use interaction and expression data to elucidate mechanisms of action and prioritize drug candidates.
• Drug safety profiling: Identify potential adverse interactions and off-target effects through network-based analysis.
• Therapeutic efficacy optimization: Inform selection of targets and tissues by integrating pharmacokinetic and pharmacodynamic annotations with expression patterns.
• Off-target effect identification: Map drug–molecule relationships to reveal unintended molecular interactions.
• AI-driven predictive modeling and personalized medicine: Provide structured inputs for machine learning and network-based predictive models for individualized predictions.

Methodology:

Structured interaction networks and a molecular atlas are compiled to enable AI-based network analyses and predictive modeling.