Mathematical and experimental analysis of biological networks to identify targets for therapy
Department of Systems Biology, University of Texas M. D. Anderson Cancer Center
(December 3, 2012 3:00 PM - 3:50 PM)
Intracellular biological networks are highly complex and contain numerous regulatory loops. One of the challenges in cancer biology is to be able to understand and target sub-network that are aberrantly functioning in cancer cells. In this talk I will describe our integrated mathematical and experimental approach to understanding network function and identify targets for cancer therapy. The talk will focus on using network motif structures to reduce complexity and use of time course experimental proteomic data to train mathematical and computational models to identify targets.