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SuperTarget goes quantitative: update on drug–target interactions
There are at least two good reasons for the on-going interest in drug–target interactions: first, drug-effects can only be fully understood by considering a complex network of interactions to multiple targets (so-called off-target effects) including metabolic and signaling pathways; second, it is cr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245174/ https://www.ncbi.nlm.nih.gov/pubmed/22067455 http://dx.doi.org/10.1093/nar/gkr912 |
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author | Hecker, Nikolai Ahmed, Jessica von Eichborn, Joachim Dunkel, Mathias Macha, Karel Eckert, Andreas Gilson, Michael K. Bourne, Philip E. Preissner, Robert |
author_facet | Hecker, Nikolai Ahmed, Jessica von Eichborn, Joachim Dunkel, Mathias Macha, Karel Eckert, Andreas Gilson, Michael K. Bourne, Philip E. Preissner, Robert |
author_sort | Hecker, Nikolai |
collection | PubMed |
description | There are at least two good reasons for the on-going interest in drug–target interactions: first, drug-effects can only be fully understood by considering a complex network of interactions to multiple targets (so-called off-target effects) including metabolic and signaling pathways; second, it is crucial to consider drug-target-pathway relations for the identification of novel targets for drug development. To address this on-going need, we have developed a web-based data warehouse named SuperTarget, which integrates drug-related information associated with medical indications, adverse drug effects, drug metabolism, pathways and Gene Ontology (GO) terms for target proteins. At present, the updated database contains >6000 target proteins, which are annotated with >330 000 relations to 196 000 compounds (including approved drugs); the vast majority of interactions include binding affinities and pointers to the respective literature sources. The user interface provides tools for drug screening and target similarity inclusion. A query interface enables the user to pose complex queries, for example, to find drugs that target a certain pathway, interacting drugs that are metabolized by the same cytochrome P450 or drugs that target proteins within a certain affinity range. SuperTarget is available at http://bioinformatics.charite.de/supertarget. |
format | Online Article Text |
id | pubmed-3245174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-32451742012-01-10 SuperTarget goes quantitative: update on drug–target interactions Hecker, Nikolai Ahmed, Jessica von Eichborn, Joachim Dunkel, Mathias Macha, Karel Eckert, Andreas Gilson, Michael K. Bourne, Philip E. Preissner, Robert Nucleic Acids Res Articles There are at least two good reasons for the on-going interest in drug–target interactions: first, drug-effects can only be fully understood by considering a complex network of interactions to multiple targets (so-called off-target effects) including metabolic and signaling pathways; second, it is crucial to consider drug-target-pathway relations for the identification of novel targets for drug development. To address this on-going need, we have developed a web-based data warehouse named SuperTarget, which integrates drug-related information associated with medical indications, adverse drug effects, drug metabolism, pathways and Gene Ontology (GO) terms for target proteins. At present, the updated database contains >6000 target proteins, which are annotated with >330 000 relations to 196 000 compounds (including approved drugs); the vast majority of interactions include binding affinities and pointers to the respective literature sources. The user interface provides tools for drug screening and target similarity inclusion. A query interface enables the user to pose complex queries, for example, to find drugs that target a certain pathway, interacting drugs that are metabolized by the same cytochrome P450 or drugs that target proteins within a certain affinity range. SuperTarget is available at http://bioinformatics.charite.de/supertarget. Oxford University Press 2012-01 2011-11-08 /pmc/articles/PMC3245174/ /pubmed/22067455 http://dx.doi.org/10.1093/nar/gkr912 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Hecker, Nikolai Ahmed, Jessica von Eichborn, Joachim Dunkel, Mathias Macha, Karel Eckert, Andreas Gilson, Michael K. Bourne, Philip E. Preissner, Robert SuperTarget goes quantitative: update on drug–target interactions |
title | SuperTarget goes quantitative: update on drug–target interactions |
title_full | SuperTarget goes quantitative: update on drug–target interactions |
title_fullStr | SuperTarget goes quantitative: update on drug–target interactions |
title_full_unstemmed | SuperTarget goes quantitative: update on drug–target interactions |
title_short | SuperTarget goes quantitative: update on drug–target interactions |
title_sort | supertarget goes quantitative: update on drug–target interactions |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245174/ https://www.ncbi.nlm.nih.gov/pubmed/22067455 http://dx.doi.org/10.1093/nar/gkr912 |
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