Drug target validation using transcription profiling and reverse-engineered gene networks

MEDI 78

Melissa M. Dominguez1, Elissa Cosgrove2, Yingchun Zhou3, Eric D. Kolaczyk3, Scott E. Schaus1, and Timothy S. Gardner2. (1) Department of Chemistry, Boston University, 24 Cummington Street, Boston, MA 02215, (2) Department of Biomedical Engineering, Boston University, 44 Cummington Street, Boston, MA 02215, (3) Department of Mathematics and Statistics, Boston University, 111 Cummington Street, Boston, MA 02215
Drug target validation is critical for drug development and a rapid and thorough method of validation will greatly aid the process. Transcription profiling is a valuable tool for investigating the mode of action for drugs and other types of perturbations and the current microarray format can provide expression data for thousands of genes. These profiles are difficult to analyze since the majority of genes are not directly affected by the initial perturbation. Our goal is to develop a network based algorithm that predicts the molecular target of a biologically active compound from the transcription profile. Here we present research focused on developing this method and using it to identify the targets of compounds whose targets are unknown.
 

Poster Session
7:00 PM-9:00 PM, Sunday, August 19, 2007 BCEC -- Exhibit Hall - B2, Poster

Division of Medicinal Chemistry

The 234th ACS National Meeting, Boston, MA, August 19-23, 2007