DrugSimDB

DrugSimDB provides an integrated multi-modal database of drug–drug similarity measures to support computational drug repositioning and in-silico drug development.

Key Features:

• Integration of Heterogeneous Data Sources: DrugSimDB systematically compiles and integrates heterogeneous information from multiple evidence sources for small-molecule drugs, covering 10,367 compounds.
• Multi-Modal Similarity Network: The resource aggregates diverse drug-related data to construct a multi-modal similarity network comprising 238,635 significant drug pairs.
• Flexibility and Extensibility: The integration methodology allows incorporation of additional drug information into the similarity network as new data become available.
• Semi-automated Construction: The database construction process is semi-automated to enable updates with new drugs and current information.

Scientific Applications:

• Drug repositioning: Identification and prioritization of therapeutic candidates based on multi-modal similarity measures.
• In-silico drug development: Support for computational analyses and hypothesis-driven studies investigating therapeutic actions of similar drugs.
• Validation and candidate prioritization: Enabling selection of validated candidates through integrated similarity evidence.

Methodology:

DrugSimDB compiles and integrates heterogeneous drug-related datasets and aggregates them to construct a multi-modal drug similarity network.