DGIdb
DGIdb aggregates drug-gene interaction data to identify and annotate druggable genes and interaction claims for biomedical research.
Key Features:
- Comprehensive Data Aggregation: Consolidates information from 41 sources, including seven newly added resources, to centralize drug-gene interaction claims.
- Data Normalization and Integration: Harmonizes drug names and gene identifiers by merging concepts, identifying aliases, and reducing redundancy.
- Search and Data Access: Provides programmatic access via an API and downloadable TSV format and supports queries that include interaction directionality and refined scoring mechanisms.
- Routine Updates and Curation: Employs automated processes for routine updates alongside manual curation to maintain and link interaction source information.
- Integration with External and Crowdsourced Resources: Integrates crowd-sourced contributions and external resources such as Drug Target Commons, Wikidata for term normalization, and NDEx for network representations.
Scientific Applications:
- Candidate Target Identification: Enables identification and annotation of potentially druggable genes for therapeutic targeting.
- Pharmacogenomics: Supports studies linking genes and drugs to variability in drug response.
- Personalized Medicine: Facilitates selection of drug targets and drugs relevant to individual genomic profiles.
- Drug Discovery and Repurposing: Assists in prioritizing genes and compounds for drug development and repurposing efforts.
- Mechanistic Studies: Provides interaction data useful for understanding molecular mechanisms underlying diseases.
Methodology:
Aggregates claims from 41 sources; normalizes terms by merging concepts, identifying aliases, and reducing redundancy; records interaction directionality and applies scoring mechanisms; updates data via automated processes and manual curation; integrates with Drug Target Commons, Wikidata for term normalization, and NDEx for network representations; and exposes data through an API and TSV downloads.
Topics
Details
- License:
- MIT
- Programming Languages:
- Ruby
- Added:
- 1/18/2021
- Last Updated:
- 3/1/2021
Operations
Publications
Freshour S, Kiwala S, Cotto KC, Coffman AC, McMichael JF, Song J, Griffith M, Griffith OL, Wagner AH. Integration of the Drug-Gene Interaction Database (DGIdb) with open crowdsource efforts. Unknown Journal. 2020. doi:10.1101/2020.09.18.301721.
Documentation
Downloads
- Downloads pagehttp://dgidb.org/downloads