PROMISCUOUS

PROMISCUOUS catalogs drug–protein and protein–protein interactions to support analysis of multi-pharmacology, off-target effects, and drug repositioning.

Key Features:

• Dataset scope: Contains approximately 25,000 drugs including approved, withdrawn, and experimental compounds.
• Drug–protein relationships: Includes about 21,500 annotated drug–protein relationships.
• Protein–protein relationships: Includes about 104,000 annotated protein–protein interactions.
• Annotation of interactions: Each entry is annotated with detailed relationships between drugs and proteins and interactions among proteins.
• Curation methods: Data compilation uses text mining, data mining, and manual curation.
• Structural similarity linkage: Connects measures of structural similarity for drugs with known side-effects.
• Network analysis: Integrates drug–protein and protein–protein interactions into networks to analyze multi-pharmacology and interaction contexts.
• Off-target analysis: Enables identification and analysis of potential off-target effects through network and similarity data.
• Drug repositioning support: Facilitates systematic identification of novel therapeutic indications for existing drugs.

Scientific Applications:

• Multi-pharmacology analysis: Study how drugs interact with multiple protein targets and the resulting network effects.
• Off-target effect prediction: Investigate potential unintended drug–protein interactions that may explain side-effects.
• Drug repositioning: Identify candidate existing drugs for novel therapeutic applications based on interaction and similarity data.
• Interaction network studies: Analyze protein–protein interaction networks in the context of drug binding and structural similarity.

Methodology:

Data were compiled by text mining, data mining, and manual curation, and structural similarity measures for drugs were connected with known side-effects to analyze drug–protein and protein–protein interaction networks.