Preliminary Program subject to change
10B10 Advances in Computational Approaches to Systems Biology
OverviewThis 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.
Primary SponsorSystems and Process Control (10b)
Co-Sponsor(s)Engineering Fundamentals in Life Science (15d)

Chair

Juergen Hahn
Assistant Professor
Department of Chemical Engineering
Texas A&M University
3122 TAMU
College Station, TX 77843-3122
Phone Number: (979) 845 3568
Fax Number: (979) 845 6446
Email: hahn@tamu.edu

CoChair

Arul Jayaraman
Assistant Professor
Texas A&M University
Department of Chemical Engineering
3122 TAMU
College Station, TX 77840
Phone Number: 617-371-4874; 979-845-3361
Fax Number: 979-845-6446
Email: arul.jayaraman@chemail.tamu.edu
A High Resolution Side Chain Centroid Based Distance Dependent Force Field - Effect of Protein Side Chain Interactions
Rohit Rajgaria, Scott R. McAllister and Christodoulos A. Floudas, Chemical Engineering, Princeton University, Dept of Chemical Engineering; A215 Engineering Quadrangle, Princeton, NJ 08544
Circadian Phase Entrainment Via Nonlinear Model Predictive Control
Neda Bagheri, Department of Electrical & Computer Engineering, University of California - Santa Barbara, Santa Barbara, CA 93106-9560, Jörg Stelling, Institute of Computational Science, ETH-Zentrum, Zurich, Switzerland and Francis J. Doyle III, Department of Chemical Engineering, University of California - Santa Barbara, Santa Barbara, CA 93106-5080
Sensitivity Analysis-Based Approach for Identifying Key Steps in Cell Signaling for Hepatocytes Stimulated by Il-6
Yunfei Chu1, Abhay K. Singh1, Arul Jayaraman1 and Juergen Hahn2, (1)Department of Chemical Engineering, Texas A& M University, College Station, TX 77843-3122, (2)Department of Chemical Engineering, Texas A&M University, College Station, TX 77843-3122
Parameter Estimation for Stochastic Models: Application to Genetic Networks
Christopher V. Rao, Department of Chemical and Biomolecular Engineering, University of Illinois, 600 South Matthews Ave., 211 Roger Adams Laboratory, Box C-3, Urbana, IL 61801
Mocat: an Algorithm for Learning Boolean Functions from Noisy Data and Its Application to Learning Interacting Residues in a Protein
Anshul Dubey, School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Dr, Atlanta, GA 30332, Matthew J. Realff, Chemical and Biomolecular Engineering, Georgia Tech, 311 Ferst Drive, N.W., Atlanta, GA 30332-0100, Jay H. Lee, Chemical and Biomolecular Engineering, Georgia Institute of Technology, Ford Environmental Science & Technology Building 311 Ferst Drive, N.W., Atlanta, GA 30332 and Andreas S. Bommarius, Georgia Institute of Technology, School of Chemical Engineering, 315 Ferst Drive N.W., Parker H. Petit Biotechnology Institute, Room 3310, Atlanta, GA 30332-0363
Structural Analysis of Biological Regulatory Networks
Sridharakumar Narasimhan, Clarkson University, Box 5707, Clarkson University, Potsdam, NY 13699-5707, Raghunathan Rengaswamy, Chemical Engineering, Clarkson University, Box 5705, Clarkson University, Potsdam, NY 13699-5705 and Rajanikanth Vadigepalli, Daniel Baugh Institute for Functional Genomics and Computational Biology, Thomas Jefferson University, 1020 Locust St Room 575, Philadelphia, PA 19107
Equation-Free Analysis of Gene Regulatory Networks
Thomas A. Frewen1, Yannis G. Kevrekidis1, Timothy C. Elston2 and Radek Erban3, (1)Department of Chemical Engineering, Princeton University, Engineering Quadrangle, Princeton, NJ 08544, (2)Department of Pharmacology, University of North Carolina, Chapel Hill, NC 27599, (3)Mathematical Institute, University of Oxford, 24-29 St Giles', Oxford, United Kingdom

Computing and Systems Technology Division