4.8 Article

SuperTarget goes quantitative: update on drug-target interactions

期刊

NUCLEIC ACIDS RESEARCH
卷 40, 期 D1, 页码 D1113-D1117

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkr912

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资金

  1. BMBF [MedSys 0315450A]
  2. DFG [GRK1772]
  3. IRTG 'Systems Biology of Molecular Networks' [GRK1360]
  4. EU (SynSys)
  5. NIH [GM070064]

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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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