Dataset Information
CDK inhibitor PHA-848125 gene expression profiling on MCF7 cell line
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA123781PRJNA123775PRJNA123779PRJNA123783PRJNA121363PRJNA123991
ORGANISM(S): Homo sapiens
SUBMITTER: 
Emanuela Scacheri Laura Raddrizzani Antonella Isacchi Roberta Bosotti
PROVIDER: E-GEOD-18501 | ArrayExpress | 2010-07-14
SECONDARY ACCESSION(S): GSE18501PRJNA123781
REPOSITORIES: GEO, ArrayExpress
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| E-GEOD-18501.README.txt | Txt | |||
| E-GEOD-18501.idf.txt | Idf | |||
| E-GEOD-18501.processed.1.zip | Processed | |||
| E-GEOD-18501.raw.1.zip | Raw | |||
| E-GEOD-18501.sdrf.txt | Txt |
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Publications
Discovery of drug mode of action and drug repositioning from transcriptional responses.
Proceedings of the National Academy of Sciences of the United States of America 20100802 33
A bottleneck in drug discovery is the identification of the molecular targets of a compound (mode of action, MoA) and of its off-target effects. Previous approaches to elucidate drug MoA include analysis of chemical structures, transcriptional responses following treatment, and text mining. Methods based on transcriptional responses require the least amount of information and can be quickly applied to new compounds. Available methods are inefficient and are not able to support network pharmacolo ...[more]
