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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...

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Autores principales: Hecker, Nikolai, Ahmed, Jessica, von Eichborn, Joachim, Dunkel, Mathias, Macha, Karel, Eckert, Andreas, Gilson, Michael K., Bourne, Philip E., Preissner, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
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.
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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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