Prediction of drug-target interactions for drug repositioning only based on genomic expression similarity.
Ontology highlight
ABSTRACT: Small drug molecules usually bind to multiple protein targets or even unintended off-targets. Such drug promiscuity has often led to unwanted or unexplained drug reactions, resulting in side effects or drug repositioning opportunities. So it is always an important issue in pharmacology to identify potential drug-target interactions (DTI). However, DTI discovery by experiment remains a challenging task, due to high expense of time and resources. Many computational methods are therefore developed to predict DTI with high throughput biological and clinical data. Here, we initiatively demonstrate that the on-target and off-target effects could be characterized by drug-induced in vitro genomic expression changes, e.g. the data in Connectivity Map (CMap). Thus, unknown ligands of a certain targe
SUBMITTER: Wang K
PROVIDER: S-EPMC3820513 | biostudies-literature | 2013
REPOSITORIES: biostudies-literature
ACCESS DATA