Journal
CLINICAL PHARMACOLOGY & THERAPEUTICS
Volume 93, Issue 4, Pages 335-341Publisher
WILEY
DOI: 10.1038/clpt.2013.1
Keywords
-
Categories
Ask authors/readers for more resources
Traditionally, most drugs have been discovered using phenotypic or target-based screens. Subsequently, their indications are often expanded on the basis of clinical observations, providing additional benefit to patients. This review highlights computational techniques for systematic analysis of transcriptomics (Connectivity Map, CMap), side effects, and genetics (genome-wide association study, GWAS) data to generate new hypotheses for additional indications. We also discuss data domains such as electronic health records (EHRs) and phenotypic screening that we consider promising for novel computational repositioning methods.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available