Your browser doesn't support javascript.
loading
DGIdb: mining the druggable genome.
Griffith, Malachi; Griffith, Obi L; Coffman, Adam C; Weible, James V; McMichael, Josh F; Spies, Nicholas C; Koval, James; Das, Indraniel; Callaway, Matthew B; Eldred, James M; Miller, Christopher A; Subramanian, Janakiraman; Govindan, Ramaswamy; Kumar, Runjun D; Bose, Ron; Ding, Li; Walker, Jason R; Larson, David E; Dooling, David J; Smith, Scott M; Ley, Timothy J; Mardis, Elaine R; Wilson, Richard K.
Affiliation
  • Griffith M; 1] The Genome Institute, Washington University School of Medicine, St. Louis, Missouri, USA. [2] Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA. [3].
Nat Methods ; 10(12): 1209-10, 2013 Dec.
Article in En | MEDLINE | ID: mdl-24122041
ABSTRACT
The Drug-Gene Interaction database (DGIdb) mines existing resources that generate hypotheses about how mutated genes might be targeted therapeutically or prioritized for drug development. It provides an interface for searching lists of genes against a compendium of drug-gene interactions and potentially 'druggable' genes. DGIdb can be accessed at http//dgidb.org/.
Subject(s)
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Databases, Genetic / Drug Discovery / Data Mining Limits: Humans Language: En Journal: Nat Methods Year: 2013 Document type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Databases, Genetic / Drug Discovery / Data Mining Limits: Humans Language: En Journal: Nat Methods Year: 2013 Document type: Article