SuperTarget

SuperTarget provides integrated, curated data on drug–target interactions to enable analysis of pharmacology, off-target effects, drug metabolism, and pathway relationships.

Key Features:

• Extensive Data Integration: Consolidates information on over 6,000 target proteins with more than 330,000 relationships to approximately 196,000 compounds, including annotations for medical indications, adverse drug effects, drug metabolism pathways, and Gene Ontology (GO) terms.
• Complex Interaction Networks: Represents drug effects through interaction networks that capture off-target effects and include metabolic and signaling pathway relationships.
• Binding Affinities and Literature References: Includes quantitative binding affinities for many interactions and links each interaction to relevant literature sources.
• Complex Query Capabilities: Supports queries to identify drugs acting on specific pathways, drugs metabolized by the same cytochrome P450 enzymes, and drugs targeting proteins within specified affinity ranges.
• Drug Screening and Target Similarity Tools: Provides tools for drug screening and assessing target similarity to identify potential therapeutic targets and examine structural and functional relationships among proteins.

Scientific Applications:

• Drug Repurposing: Enables identification of potential new uses for approved drugs by exploring existing drug–target interaction data.
• Novel Target Identification: Supports discovery of novel targets by analyzing pathway relationships and off-target interaction networks.
• Safety and Efficacy Studies: Facilitates assessment of adverse drug effects and metabolic pathways for evaluating safety and efficacy profiles.
• Personalized Medicine: Informs personalized treatment strategies by providing data on drug metabolism and target interactions relevant to individual genetic profiles.

Methodology:

SuperTarget is implemented as a data warehouse that aggregates and organizes diverse datasets related to drug–target interactions; its methodology involves curation of peer-reviewed literature and integration of experimental binding affinity data and pathway annotations.