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The BioGRID interaction database: 2017 update
The Biological General Repository for Interaction Datasets (BioGRID: https://thebiogrid.org) is an open access database dedicated to the annotation and archival of protein, genetic and chemical interactions for all major model organism species and humans. As of September 2016 (build 3.4.140), the Bi...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210573/ https://www.ncbi.nlm.nih.gov/pubmed/27980099 http://dx.doi.org/10.1093/nar/gkw1102 |
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author | Chatr-aryamontri, Andrew Oughtred, Rose Boucher, Lorrie Rust, Jennifer Chang, Christie Kolas, Nadine K. O'Donnell, Lara Oster, Sara Theesfeld, Chandra Sellam, Adnane Stark, Chris Breitkreutz, Bobby-Joe Dolinski, Kara Tyers, Mike |
author_facet | Chatr-aryamontri, Andrew Oughtred, Rose Boucher, Lorrie Rust, Jennifer Chang, Christie Kolas, Nadine K. O'Donnell, Lara Oster, Sara Theesfeld, Chandra Sellam, Adnane Stark, Chris Breitkreutz, Bobby-Joe Dolinski, Kara Tyers, Mike |
author_sort | Chatr-aryamontri, Andrew |
collection | PubMed |
description | The Biological General Repository for Interaction Datasets (BioGRID: https://thebiogrid.org) is an open access database dedicated to the annotation and archival of protein, genetic and chemical interactions for all major model organism species and humans. As of September 2016 (build 3.4.140), the BioGRID contains 1 072 173 genetic and protein interactions, and 38 559 post-translational modifications, as manually annotated from 48 114 publications. This dataset represents interaction records for 66 model organisms and represents a 30% increase compared to the previous 2015 BioGRID update. BioGRID curates the biomedical literature for major model organism species, including humans, with a recent emphasis on central biological processes and specific human diseases. To facilitate network-based approaches to drug discovery, BioGRID now incorporates 27 501 chemical–protein interactions for human drug targets, as drawn from the DrugBank database. A new dynamic interaction network viewer allows the easy navigation and filtering of all genetic and protein interaction data, as well as for bioactive compounds and their established targets. BioGRID data are directly downloadable without restriction in a variety of standardized formats and are freely distributed through partner model organism databases and meta-databases. |
format | Online Article Text |
id | pubmed-5210573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-52105732017-01-05 The BioGRID interaction database: 2017 update Chatr-aryamontri, Andrew Oughtred, Rose Boucher, Lorrie Rust, Jennifer Chang, Christie Kolas, Nadine K. O'Donnell, Lara Oster, Sara Theesfeld, Chandra Sellam, Adnane Stark, Chris Breitkreutz, Bobby-Joe Dolinski, Kara Tyers, Mike Nucleic Acids Res Database Issue The Biological General Repository for Interaction Datasets (BioGRID: https://thebiogrid.org) is an open access database dedicated to the annotation and archival of protein, genetic and chemical interactions for all major model organism species and humans. As of September 2016 (build 3.4.140), the BioGRID contains 1 072 173 genetic and protein interactions, and 38 559 post-translational modifications, as manually annotated from 48 114 publications. This dataset represents interaction records for 66 model organisms and represents a 30% increase compared to the previous 2015 BioGRID update. BioGRID curates the biomedical literature for major model organism species, including humans, with a recent emphasis on central biological processes and specific human diseases. To facilitate network-based approaches to drug discovery, BioGRID now incorporates 27 501 chemical–protein interactions for human drug targets, as drawn from the DrugBank database. A new dynamic interaction network viewer allows the easy navigation and filtering of all genetic and protein interaction data, as well as for bioactive compounds and their established targets. BioGRID data are directly downloadable without restriction in a variety of standardized formats and are freely distributed through partner model organism databases and meta-databases. Oxford University Press 2017-01-04 2016-12-14 /pmc/articles/PMC5210573/ /pubmed/27980099 http://dx.doi.org/10.1093/nar/gkw1102 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Chatr-aryamontri, Andrew Oughtred, Rose Boucher, Lorrie Rust, Jennifer Chang, Christie Kolas, Nadine K. O'Donnell, Lara Oster, Sara Theesfeld, Chandra Sellam, Adnane Stark, Chris Breitkreutz, Bobby-Joe Dolinski, Kara Tyers, Mike The BioGRID interaction database: 2017 update |
title | The BioGRID interaction database: 2017 update |
title_full | The BioGRID interaction database: 2017 update |
title_fullStr | The BioGRID interaction database: 2017 update |
title_full_unstemmed | The BioGRID interaction database: 2017 update |
title_short | The BioGRID interaction database: 2017 update |
title_sort | biogrid interaction database: 2017 update |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210573/ https://www.ncbi.nlm.nih.gov/pubmed/27980099 http://dx.doi.org/10.1093/nar/gkw1102 |
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