Speaker:Domenico Napoletani, Mathematics, George Mason University

Title: Augmented Sparse Reconstruction of Protein Signaling Networks

Abstract: The problem of reconstructing and identifying intracellular protein signaling and biochemical networks is of critical importance in biology today. In this talk I will suggest a method, augmented sparse reconstruction, for the identification of links among nodes of ordinary differential equation networks from a small set of trajectories with different initial conditions. This method allows to consider potentially very large spaces of models and it is able to detect with high accuracy the few relevant links among nodes, even when moderate noise is added to the measured trajectories. I will show the performance of the method on a model of the epidermal growth factor receptor (EGFR) driven signaling network, one of the most well-studied and clinically important signaling networks in biology today. I will finally sketch briefly the potential therapeutic applications of this approach.

Place: Science and Technology Building I, Room 242

Department of Mathematical Sciences
George Mason University
4400 University Drive, MS 3F2
Fairfax, VA 22030-4444
http://math.gmu.edu/
Tel. 703-993-1460, Fax. 703-993-1491