DGIdb 5.0: rebuilding the drug–gene interaction database for precision medicine and drug discovery platforms

Matthew Cannon(Nationwide Children's Hospital), James Stevenson(Nationwide Children's Hospital), Kathryn Stahl(Nationwide Children's Hospital), Rohit Basu(Nationwide Children's Hospital), Adam Coffman(Washington University in St. Louis), Susanna Kiwala(Washington University in St. Louis), Joshua F. McMichael(Washington University in St. Louis), Kori Kuzma(Nationwide Children's Hospital), Dorian Morrissey(Washington University in St. Louis), Kelsy C. Cotto(Washington University in St. Louis), Elaine R. Mardis(Nationwide Children's Hospital), Obi L. Griffith(Washington University in St. Louis), Malachi Griffith(Washington University in St. Louis), Alex H. Wagner(Nationwide Children's Hospital)
Nucleic Acids Research
November 11, 2023
Cited by 427Open Access
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Abstract

The Drug-Gene Interaction Database (DGIdb, https://dgidb.org) is a publicly accessible resource that aggregates genes or gene products, drugs and drug-gene interaction records to drive hypothesis generation and discovery for clinicians and researchers. DGIdb 5.0 is the latest release and includes substantial architectural and functional updates to support integration into clinical and drug discovery pipelines. The DGIdb service architecture has been split into separate client and server applications, enabling consistent data access for users of both the application programming interface (API) and web interface. The new interface was developed in ReactJS, and includes dynamic visualizations and consistency in the display of user interface elements. A GraphQL API has been added to support customizable queries for all drugs, genes, annotations and associated data. Updated documentation provides users with example queries and detailed usage instructions for these new features. In addition, six sources have been added and many existing sources have been updated. Newly added sources include ChemIDplus, HemOnc, NCIt (National Cancer Institute Thesaurus), Drugs@FDA, HGNC (HUGO Gene Nomenclature Committee) and RxNorm. These new sources have been incorporated into DGIdb to provide additional records and enhance annotations of regulatory approval status for therapeutics. Methods for grouping drugs and genes have been expanded upon and developed as independent modular normalizers during import. The updates to these sources and grouping methods have resulted in an improvement in FAIR (findability, accessibility, interoperability and reusability) data representation in DGIdb.


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