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DGIdb 2.0: mining clinically relevant drug-gene interactions.
Wagner, Alex H; Coffman, Adam C; Ainscough, Benjamin J; Spies, Nicholas C; Skidmore, Zachary L; Campbell, Katie M; Krysiak, Kilannin; Pan, Deng; McMichael, Joshua F; Eldred, James M; Walker, Jason R; Wilson, Richard K; Mardis, Elaine R; Griffith, Malachi; Griffith, Obi L.
Afiliación
  • Wagner AH; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Coffman AC; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Ainscough BJ; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Spies NC; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Skidmore ZL; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Campbell KM; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Krysiak K; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Pan D; Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • McMichael JF; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Eldred JM; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Walker JR; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Wilson RK; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA Department of Genetics,
  • Mardis ER; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA Department of Genetics,
  • Griffith M; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA mgriffit@genome.wustl.ed
  • Griffith OL; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA Department of Genetics,
Nucleic Acids Res ; 44(D1): D1036-44, 2016 Jan 04.
Article en En | MEDLINE | ID: mdl-26531824
The Drug-Gene Interaction Database (DGIdb, www.dgidb.org) is a web resource that consolidates disparate data sources describing drug-gene interactions and gene druggability. It provides an intuitive graphical user interface and a documented application programming interface (API) for querying these data. DGIdb was assembled through an extensive manual curation effort, reflecting the combined information of twenty-seven sources. For DGIdb 2.0, substantial updates have been made to increase content and improve its usefulness as a resource for mining clinically actionable drug targets. Specifically, nine new sources of drug-gene interactions have been added, including seven resources specifically focused on interactions linked to clinical trials. These additions have more than doubled the overall count of drug-gene interactions. The total number of druggable gene claims has also increased by 30%. Importantly, a majority of the unrestricted, publicly-accessible sources used in DGIdb are now automatically updated on a weekly basis, providing the most current information for these sources. Finally, a new web view and API have been developed to allow searching for interactions by drug identifiers to complement existing gene-based search functionality. With these updates, DGIdb represents a comprehensive and user friendly tool for mining the druggable genome for precision medicine hypothesis generation.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Descubrimiento de Drogas / Bases de Datos Farmacéuticas / Genes Tipo de estudio: Guideline Idioma: En Revista: Nucleic Acids Res Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Descubrimiento de Drogas / Bases de Datos Farmacéuticas / Genes Tipo de estudio: Guideline Idioma: En Revista: Nucleic Acids Res Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos