Drug2Gene

Drug2Gene integrates and standardizes compound/drug–gene/protein interaction data from 19 public sources into a unified, bioactivity-annotated knowledge base for drug discovery and target identification.

Key Features:

• Data Integration and Standardization: Unifies and standardizes compound/drug–gene/protein interaction records and activity metrics to enable large-scale comparability across source databases, addressing differences in compound descriptions and reported activity values.
• Comprehensive Data Repository: Contains over 4 million unified relations between compounds and targets (version 3.2), including bioactivity annotations and both reported interactions and putative (homology-inferred) relations.
• Orthology and Similarity Mapping: Matches gene orthology and sequence similarity information to specific entries to support inference of putative drug–gene associations based on homology.

Scientific Applications:

• Target Identification: Identification of tool compounds that target specific gene products using integrated bioactivity data.
• Target Deconvolution: Retrieval of all known targets of a given drug by aggregating reported interactions across multiple databases.
• Data Mining and Hypothesis Generation: Enabling large-scale mining of standardized interaction and bioactivity data to generate hypotheses about drug–target relationships, including homology-inferred associations.

Methodology:

Integration of data from 19 public sources with unification and standardization of records and activity metrics, reconciliation of compound descriptions, matching of gene orthology and sequence similarity, and inclusion of putative homology-inferred relations.