Gene expression assisted compound chemistry - QSTAR

01 October 2011 → 30 September 2013
Regional and community funding: IWT/VLAIO
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Statistics and numerical methods
    • Scientific computing
    • Analytical chemistry
    • Bioinformatics and computational biology
  • Medical and health sciences
    • Bioinformatics and computational biology
    • Bioinformatics and computational biology
    • Public health care
    • Public health services
    • Bioinformatics and computational biology
  • Engineering and technology
    • Scientific computing
drug discovery genomics statistics
Project description

The aim is to explore links between the structure of chemical compounds and their in vitro effects on cell lines as measured by transcriptional profiling and on-target and off-target bioassays. We will further investigate the possibilities to develop rules that would have predictive power with respect to alterations in the chemistry and their transcriptional effects on a cell (QSTAR = quantitative structure transcriptional activity relationship).