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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.
Afiliación
  • Hecker N; Structural Bioinformatics Group, Institute for Physiology, Charité-University Medicine Berlin, Lindenberger Weg 80, 13125 Berlin, Germany.
Nucleic Acids Res ; 40(Database issue): D1113-7, 2012 Jan.
Article en En | MEDLINE | ID: mdl-22067455
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.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Bases de Datos Factuales / Descubrimiento de Drogas Tipo de estudio: Prognostic_studies Idioma: En Revista: Nucleic Acids Res Año: 2012 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Bases de Datos Factuales / Descubrimiento de Drogas Tipo de estudio: Prognostic_studies Idioma: En Revista: Nucleic Acids Res Año: 2012 Tipo del documento: Article País de afiliación: Alemania