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URL: http://bioinf-apache.charite.de/supertarget_v2/
Proper Citation: SuperTarget (RRID:SCR_002696)
Description: Database for analyzing drug-target interactions, it integrates drug-related information associated with medical indications, adverse drug effects, drug metabolism, pathways and Gene Ontology (GO) terms for target proteins. At present (May 2013), 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.
Abbreviations: SuperTarget
Resource Type: data or information resource, database
Defining Citation: PMID:22067455, PMID:17942422
Keywords: drug metabolism, drug, cytochrome p450, ontology, pathway, target, compound, cytochrome, drug target, protein, side effect, protein-protein interaction
Funding: BMBF MedSys 0315450A; DFG RTG Computational Systems Biology GRK1772; DFG IRTG Systems Biology of Molecular Networks GRK1360; European Union SynSys ; NIGMS GM070064
Availability: Free, Freely available
Resource Name: SuperTarget
Resource ID: SCR_002696
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
