Discovery and preclinical validation of drug indications using compendia of public gene expression data.

ABSTRACT: The application of established drug compounds to new therapeutic indications, known as drug repositioning, offers several advantages over traditional drug development, including reduced development costs and shorter paths to approval. Recent approaches to drug repositioning use high-throughput experimental approaches to assess a compound's potential therapeutic qualities. Here, we present a systematic computational approach to predict novel therapeutic indications on the basis of comprehensive testing of molecular signatures in drug-disease pairs. We integrated gene expression measurements from 100 diseases and gene expression measurements on 164 drug compounds, yielding predicted therapeutic potentials for these drugs. We recovered many known drug and disease relationships using computati

SUBMITTER: Sirota M 

PROVIDER: S-EPMC3502016 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature