The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
SuperTarget goes quantitative: update on drug-target interactions
Open accessAbstract
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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Cites
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ConsensusPathDB: toward a more complete picture of cell biology
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“Among other new features, SuperTarget now introduces integration of protein–protein interaction data from the ConsensusPathDB (25).”
SuperTarget and Matador: resources for exploring drug-target relationships
Gunther, S., Kuhn, M., Dunkel, M., Campillos, M., Senger, C., Petsalaki, E., Ahmed, J., Urdiales, E. G., Gewiess, A., Jensen, L. J., et al. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm862 · Cited by 647 · cited 1×
“In 2008, the first version of SuperTarget was developed with the intention to accentuate drug–target interactions themselves and to provide references to other resources for more elaborate analysis (15).”
BackgroundSelf-citation
Cited by
Drug–target interaction prediction: databases, web servers and computational models
Chen, X., Yan, C. C., Zhang, X., Zhang, X., Dai, F., Yin, J., & Zhang, Y. (2016) · Briefings in Bioinformatics · doi:10.1093/bib/bbv066 · Cited by 658
DGIdb: mining the druggable genome
Griffith, M., Griffith, O. L., Coffman, A. C., Weible, J. V., McMichael, J. F., Spies, N. C., Koval, J., Das, I., Callaway, M. B., Eldred, J. M., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2689 · Cited by 533
DrugCentral: online drug compendium
Ursu, O., Holmes, J., Knockel, J., Bologa, C. G., Yang, J. J., Mathias, S. L., Nelson, S. J., & Oprea, T. I. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw993 · Cited by 323
Information retrieval and text mining technologies for chemistry
Krallinger, M., Rabal, O., Lourenço, A., Oyarzabal, J., & Valencia, A. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00851 · Cited by 281
Machine Learning for Drug-Target Interaction Prediction
Chen, R., Liu, X., Jin, S., Lin, J., & Liu, J. (2018) · Molecules · doi:10.3390/molecules23092208 · Cited by 292
Metadata
- Authors
- Hecker, N., Ahmed, J., von Eichborn, J., Dunkel, M., Macha, K., Eckert, A., Gilson, M. K., Bourne, P. E., & Preissner, R.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-11-08
- Volume
- 40
- Issue
- D1
- Pages
- D1113-D1117
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2099754222
- Cited by
- 213
- References
- 8
- FWCI
- 11.36
- Type
- journal article
- Language
- en
- Open access
- gold
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- Hecker, N., Ahmed, J., von Eichborn, J., Dunkel, M., Macha, K., Eckert, A., Gilson, M. K., Bourne, P. E., & Preissner, R. (2012). SuperTarget goes quantitative: update on drug-target interactions. Nucleic Acids Research. https://doi.org/10.1093/nar/gkr912
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