Cell line based compound prioritization and response prediction

The aim of this project is to utilize a diverse panel of cell lines, a novel high throughput gene expression platform and innovative data analysis procedures to collect whole genome expression data of compound treatments originating from positive phenotypic screen hits. This process would allow us to group chemically diverse molecules according to how they trigger similar biological mechanisms. Such an approach will influence different areas of drug discovery related research: * By introducing biological information into the selection process of compounds we aim to incorporate compound mechanistical data early in the drug discovery pipeline. * Furthermore, a consistent grouping of compounds across cell lines of diverse genetic backgrounds should lead to hints on possible consequences of drug treatment that are essential for the determination of the mechanism of action of a new medical entity. * This information should provide the researcher also with potential leads for generating markers that are indicative of whether a patient will respond to a drug or not. For more information see http://www.bioinf.jku.at/research/bioinf/johnson2/johnson.html