TY - JOUR
T1 - DGIdb 2.0
T2 - Mining clinically relevant drug-gene interactions
AU - Wagner, Alex H.
AU - Coffman, Adam C.
AU - Ainscough, Benjamin J.
AU - Spies, Nicholas C.
AU - Skidmore, Zachary L.
AU - Campbell, Katie M.
AU - Krysiak, Kilannin
AU - Pan, Deng
AU - McMichael, Joshua F.
AU - Eldred, James M.
AU - Walker, Jason R.
AU - Wilson, Richard K.
AU - Mardis, Elaine R.
AU - Griffith, Malachi
AU - Griffith, Obi L.
N1 - Publisher Copyright:
© The Author(s) 2015.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84976872359&partnerID=8YFLogxK
U2 - 10.1093/nar/gkv1165
DO - 10.1093/nar/gkv1165
M3 - Article
C2 - 26531824
AN - SCOPUS:84976872359
SN - 0305-1048
VL - 44
SP - D1036-D1044
JO - Nucleic acids research
JF - Nucleic acids research
IS - D1
ER -