Cited by 651Computational Drug Discovery MethodsBiomedical Text Mining and OntologiesBioinformatics and Genomic Networks

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SuperTarget and Matador: resources for exploring drug-target relationships

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Gunther, S., Kuhn, M., Dunkel, M., Campillos, M., Senger, C., Petsalaki, E., Ahmed, J., Urdiales, E. G., Gewiess, A., Jensen, L. J., Schneider, R., Skoblo, R., Russell, R. B., Bourne, P. E., Bork, P., Preissner, R.·2007·Nucleic Acids Research

DOI 10.1093/nar/gkm862PMC PMC2238858

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Abstract

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 http://insilico.charite.de/supertarget and http://matador.embl.de.

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DrugBank: a comprehensive resource for in silico drug discovery and exploration
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“In a last step, relations from other databases, namely DrugBank (3), KEGG (9), PDB (10), SuperLigands (11) and TTD (4), were checked for drug-target interactions not identified with the preceding steps.”
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“Proven or potential target proteins are represented by sequences as stored in UniProt (12), by functional annotations extracted from GOA (13) and by related pathway information provided by KEGG (9) (compare Figure 1).”
Background
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Authors: Gunther, S., Kuhn, M., Dunkel, M., Campillos, M., Senger, C., Petsalaki, E., Ahmed, J., Urdiales, E. G., Gewiess, A., Jensen, L. J., Schneider, R., Skoblo, R., Russell, R. B., Bourne, P. E., Bork, P., & Preissner, R.
Affiliations: University of California San Diego (US)
Corresponding author: Preissner, R.
ORCID: Kuhn, M.
Dunkel, M.
Campillos, M.
Petsalaki, E.
Jensen, L. J.
Russell, R. B.
Bourne, P. E.
Preissner, R.
Venue: Nucleic Acids Research
Publisher: Oxford University Press (OUP)
Published: 2007-12-23
Volume: 36
Issue: Database
Pages: D919-D922
ISSN: 0305-1048 (ISSN-L)
1362-4962
DOI: 10.1093/nar/gkm862
PMC: PMC2238858
OpenAlex: W2108069034
Cited by: 647
References: 18
Citations by year: 2026: 13 · 2025: 34 · 2024: 33 · 2023: 42 · 2022: 57 · 2021: 73 · 2020: 57 · 2019: 48 · 2018: 43 · 2017: 40 · 2016: 24 · 2015: 36 · 2014: 22 · 2013: 28 · 2012: 30
FWCI: 16.70
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by-nc
creativecommons.org/licenses/by-nc/2.0/uk/ (vor, 3249 d)
Locations: Nucleic Acids Research (publishedVersion, cc-by-nc)
PubMed Central (publishedVersion, cc-by-nc)
PubMed (publishedVersion)
MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (acceptedVersion)
Open Repository and Bibliography (University of Luxembourg) (submittedVersion, cc-by-nc-sa)
Funders: Deutsche Forschungsgemeinschaft (SFB 449)
Bundesministerium für Bildung und Forschung (SFB 449)
Deutsche Krebshilfe
Topics: Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
Health Sciences › Medicine › Health Informatics › Biomedical Text Mining and Ontologies
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
Keywords: drug-target interactions, matadors, cytochrome P450, drug pathways, Gene Ontology, adverse drug reactions, drug screening, protein sequence comparison, literature annotation
MeSH terms: Pharmaceutical Preparations, Pharmacology, Proteins, User-Computer Interface, Drug Design, Databases, Factual, Drug Delivery Systems, Internet

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SuperTarget and Matador: resources for exploring drug-target relationships

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