Reference : SuperTarget and Matador: resources for exploring drug-target relationships
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
SuperTarget and Matador: resources for exploring drug-target relationships
Guenther, Stefan [> >]
Kuhn, Michael [> >]
Dunkel, Mathias [> >]
Campillos, Monica [> >]
Senger, Christian [> >]
Petsalaki, Evangelia [> >]
Ahmed, Jessica [> >]
Urdiales, Eduardo Garcia [> >]
Gewiess, Andreas [> >]
Jensen, Lars Juhl [> >]
Schneider, Reinhard mailto [European Molecular Biology Laboratory - EMBL]
Skoblo, Roman [> >]
Russell, Robert B. [> >]
Bourne, Philip E. [> >]
Bork, Peer [> >]
Preissner, Robert [> >]
Nucleic Acids Research
Oxford University Press
Yes (verified by ORBilu)
United Kingdom
[en] The molecular basis of drug action is often not well understood. This is partly because the very abundant and diverse information generated in the past decades on drugs is hidden in millions of medical articles or textbooks. Therefore, we developed a one-stop data warehouse, SuperTarget that integrates drug-related information about medical indication areas, adverse drug effects, drug metabolization, pathways and Gene Ontology terms of the target proteins. An easy-to-use 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 the same protein but are metabolized by different enzymes. Furthermore, we provide tools for 2D drug screening and sequence comparison of the targets. The database contains more than 2500 target proteins, which are annotated with about 7300 relations to 1500 drugs; the vast majority of entries have pointers to the respective literature source. A subset of these drugs has been annotated with additional binding information and indirect interactions and is available as a separate resource called Matador. SuperTarget and Matador are available at and
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)

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