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DGIdb 2.0: mining clinically relevant drug–gene interactions

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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702839/
https://www.ncbi.nlm.nih.gov/pubmed/26531824
http://dx.doi.org/10.1093/nar/gkv1165
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author 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.
author_facet 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.
author_sort Wagner, Alex H.
collection PubMed
description 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.
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spelling pubmed-47028392016-01-07 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. Nucleic Acids Res Database Issue 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. Oxford University Press 2016-01-04 2015-11-03 /pmc/articles/PMC4702839/ /pubmed/26531824 http://dx.doi.org/10.1093/nar/gkv1165 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
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.
DGIdb 2.0: mining clinically relevant drug–gene interactions
title DGIdb 2.0: mining clinically relevant drug–gene interactions
title_full DGIdb 2.0: mining clinically relevant drug–gene interactions
title_fullStr DGIdb 2.0: mining clinically relevant drug–gene interactions
title_full_unstemmed DGIdb 2.0: mining clinically relevant drug–gene interactions
title_short DGIdb 2.0: mining clinically relevant drug–gene interactions
title_sort dgidb 2.0: mining clinically relevant drug–gene interactions
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702839/
https://www.ncbi.nlm.nih.gov/pubmed/26531824
http://dx.doi.org/10.1093/nar/gkv1165
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