Drug-set enrichment analysis: a novel tool to investigate drug mode of action
Drug action
Mode of Action
DOI:
10.1093/bioinformatics/btv536
Publication Date:
2015-09-29T01:59:04Z
AUTHORS (4)
ABSTRACT
Abstract Motivation: Automated screening approaches are able to rapidly identify a set of small molecules inducing desired phenotype from large small-molecule libraries. However, the resulting candidate is usually very diverse pharmacologically, thus little insight on shared mechanism action (MoA) underlying their efficacy can be gained. Results: We introduce computational method (Drug-Set Enrichment Analysis—DSEA) based drug-induced gene expression profiles, which molecular pathways that targeted by most drugs in set. By diluting drug-specific effects unrelated interest, DSEA highlight phenotype-specific pathways, helping formulate hypotheses MoA validated analysing five different drug-sets related well-known pharmacological classes. then applied known partially effective rescuing mutant cystic fibrosis transmembrane conductance regulator (CFTR) function Cystic Fibrosis. Availability and implementation: The implemented as an online web tool publicly available at http://dsea.tigem.it. Contact: dibernardo@tigem.it Supplementary information: data Bioinformatics online.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (22)
CITATIONS (70)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....