My talk will be focused on signaling network and targeted therapy for cancer. 
I will talk about our systems biology approach where we integrate functional 
proteomics, biochemistry, and computational modeling to understand and target 
signaling network for therapy. Specifically I will focus on our ongoing ODE 
model reduction work on the MAPK network, and how signals are processed through 
network motifs to regulate the duration of MAPK activity in melanoma. I will 
also discuss identification of feedback loops and how these loops alter 
responses of targeted therapeutics in breast cancer. Using reverse phase 
protein microarrays we can simultaneously probe for the phosphorylation 
changes in a large number of proteins. Coupling this technology with signaling 
petri-net models we can identify and target regulatory loops using combination 
targeted therapy.