SuperTarget goes quantitative: update on drug-target interactions

被引:181
作者
Hecker, Nikolai [1 ]
Ahmed, Jessica [1 ]
von Eichborn, Joachim [1 ]
Dunkel, Mathias [1 ]
Macha, Karel [1 ]
Eckert, Andreas [1 ]
Gilson, Michael K. [2 ]
Bourne, Philip E. [2 ]
Preissner, Robert [1 ]
机构
[1] Charite Univ Med Berlin, Inst Physiol, Struct Bioinformat Grp, D-13125 Berlin, Germany
[2] Univ Calif San Diego, Skaggs Sch Pharm & Pharmaceut Sci, La Jolla, CA 92093 USA
关键词
COMPREHENSIVE DATABASE;
D O I
10.1093/nar/gkr912
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
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.
引用
收藏
页码:D1113 / D1117
页数:5
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