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- Title
Chemogenomic profiling on a genome-wide scale using reverse-engineered gene networks.
- Authors
di Bernardo, Diego; Thompson, Michael J; Gardner, Timothy S; Chobot, Sarah E; Eastwood, Erin L; Wojtovich, Andrew P; Elliott, Sean J; Schaus, Scott E; Collins, James J
- Abstract
A major challenge in drug discovery is to distinguish the molecular targets of a bioactive compound from the hundreds to thousands of additional gene products that respond indirectly to changes in the activity of the targets. Here, we present an integrated computational-experimental approach for computing the likelihood that gene products and associated pathways are targets of a compound. This is achieved by filtering the mRNA expression profile of compound-exposed cells using a reverse-engineered model of the cell's gene regulatory network. We apply the method to a set of 515 whole-genome yeast expression profiles resulting from a variety of treatments (compounds, knockouts and induced expression), and correctly enrich for the known targets and associated pathways in the majority of compounds examined. We demonstrate our approach with PTSB, a growth inhibitory compound with a previously unknown mode of action, by predicting and validating thioredoxin and thioredoxin reductase as its target.
- Publication
Nature biotechnology, 2005, Vol 23, Issue 3, p377
- ISSN
1087-0156
- Publication type
Journal Article
- DOI
10.1038/nbt1075