This preliminary program is subject to change.

Mathematical Approaches for Systems Biology


Description:
This session is devoted to theoretical and computational studies of biological systems. Such systems include protein/DNA interactions, protein/protein interactions, genetic networks, metabolic pathways, and signal transduction pathways. Presentations will focus on theoretical and computational developments for the study of the behavior of these systems in response to stimulation or changes in their kinetic and thermodynamic properties. Contributions of novel computational strategies for systems biology are especially welcome.

Sponsor:
Engineering Fundamentals in Life Science
Co-Sponsor(s):
Biomedical Applications of Chemical Engineering (T7)


Chair:
Maciek R. Antoniewicz
University of Delaware
Department of Chemical and Biomolecular Engineering
Newark, DE 19702
Phone Number: 302-831-8960
Fax Number: 302-831-1048
Email: mranton@udel.edu

Co-Chair:
Leonidas Bleris
Assistant Professor
University of Texas at Dallas
Department of Bioengineering
NSERL 4.708 800 W Campbell Rd
Dallas, TX 18018
Email: bleris@utdallas.edu


Papers:
Incremental Parameter Estimation and Ensemble Kinetic Modeling of Metabolic Networks
Gengjie Jia, Singapore MIT Alliance; Gregory N. Stephanopoulos, Massachusetts Institute of Technology; Rudiyanto Gunawan, ETH Zurich
Rational Design of 13C-Labeling Experiments for Metabolic Flux Analysis Using Elementary Metabolite Unit-Basis Vectors (EMU-BV)
Maciek R. Antoniewicz, University of Delaware; Scott B. Crown, University of Delaware
Thermodynamics-Based Flux-Balance Analysis: Incorporation of Thermodynamic and Metabolomic Data Into Genome-Scale Constraint-Based Models
Joshua J. Hamilton, University of Wisconsin-Madison; Jennifer L. Reed, University of Wisconsin-Madison
Discriminating Significant From Insignificant Model Parameters: The Case of a Dynamic CHO Cell Model
Hana Sheikh, Tufts University; Kyongbum Lee, Tufts University; Christos Georgakis, Tufts University
Metabolic Flux-Based Modularity Using Shortest Retroactive Distances
Gautham V. Sridharan, Tufts University; Michael Yi, Tufts University; Soha Hassoun, Tufts University; Kyongbum Lee, Tufts University
Analysis of Critical Transitions in a Model of Human Endotoxemia
Jeremy D. Scheff, Rutgers University; Steve E. Calvano, UMDNJ-Robert Wood Johnson Medical School; Ioannis P. Androulakis, Rutgers, The State University of New Jersey
A Mathematical Model of Tumor-Induced Bone Disease Based On the Vicious Cycle Concept
Junhwan Jeon, Vanderbilt University; Scott A. Guelcher, Vanderbilt University; Julie A. Sterling, Vanderbilt University; Peter T. Cummings, Oak Ridge National Laboratory