RT Journal Article
SR Electronic
T1 MOSAIC: a chemical-genetic interaction data repository and web resource for exploring chemical modes of action
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 112854
DO 10.1101/112854
A1 Justin Nelson
A1 Scott Simpkins
A1 Chad L. Myers
YR 2017
UL http://biorxiv.org/content/early/2017/03/01/112854.abstract
AB Summary Chemical genomic approaches that map interactions between compounds and genetic perturbations offer a promising new strategy for annotation of uncharacterized bioactive compounds. We recently developed a new high-throughput platform for mapping chemical-genetic interactions in yeast that can be scaled to screen large compound collections, which has been applied to generate chemical genetic (CG) profiles for more than 13,000 compounds. When integrated with existing yeast genetic interaction network data, these CG interaction profiles can enable the prediction of modes of action for previously uncharacterized compounds as well as the discovery of new effects for approved drugs. To facilitate future analysis of these valuable data, we developed a public database and web interface named MOSAIC. The website provides a convenient interface for querying compounds, genes, or biological processes (GO terms) for direct chemical genetic interactions or target predictions. MOSAIC also provides direct access to chemical structural information of screened molecules and the ability to search for compounds sharing structural similarity. This resource will be of interest both to chemical biologists interested in discovering new probes with specific modes of action as well as computational biologists interested in analyzing chemical genetic interaction networks.Availability MOSAIC is available at http://mosaic.cs.umn.edu.Contact chadm{at}umn.edu