CompoundDB4j

CompoundDB4j integrates DrugBank and ChEMBL into a Neo4j-based knowledge graph to harmonize chemical and drug data and support the identification of drug–target interactions.

Key Features:

• Integration of Databases: Maps DrugBank entries to corresponding ChEMBL records to consolidate drug-centric information.
• Graph Database Utilization: Uses Neo4j for knowledge graph serialization to represent and query relationships among drugs and biological entities.
• Data Harmonization: Standardizes heterogeneous chemical and drug data into a common schema suitable for graph ingestion.
• Identification of Drug Target Interactions (DTI): Enables detection and exploration of drug–target interactions within the graph structure.

Scientific Applications:

• Drug Repositioning: Supports identification of novel drug–target relationships that suggest alternative therapeutic uses for existing compounds.
• Target Identification: Facilitates pinpointing potential therapeutic targets by revealing connectivity patterns in the graph.
• Mechanistic Studies: Aids investigation of mechanisms of action by contextualizing drugs, targets, and related entities within network structures.

Methodology:

Data mapping of DrugBank to ChEMBL entries; serialization of integrated data into a Neo4j graph using knowledge graph techniques; graph-based visualization and analysis of drug–target interactions.