Systems and Process Control

Session 573 - Advances in Computational Approaches to Systems Biology
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.
Chair:Juergen Hahn
CoChair:Arul Jayaraman
CoSponsor(s):Engineering Fundamentals in Life Science
 A High Resolution Side Chain Centroid Based Distance Dependent Force Field - Effect of Protein Side Chain Interactions
Rohit Rajgaria, Scott R. McAllister, Christodoulos A. Floudas
 Circadian Phase Entrainment Via Nonlinear Model Predictive Control
Neda Bagheri, Jörg Stelling, Francis J. Doyle III
 Sensitivity Analysis-Based Approach for Identifying Key Steps in Cell Signaling for Hepatocytes Stimulated by Il-6
Yunfei Chu, Abhay K. Singh, Arul Jayaraman, Juergen Hahn
 Parameter Estimation for Stochastic Models: Application to Genetic Networks
Christopher V. Rao
 Mocat: an Algorithm for Learning Boolean Functions from Noisy Data and Its Application to Learning Interacting Residues in a Protein
Anshul Dubey, Matthew J. Realff, Jay H. Lee, Andreas S. Bommarius
 Structural Analysis of Biological Regulatory Networks
Sridharakumar Narasimhan, Raghunathan Rengaswamy, Rajanikanth Vadigepalli
 Equation-Free Analysis of Gene Regulatory Networks
Thomas A. Frewen, Yannis G. Kevrekidis, Timothy C. Elston, Radek Erban

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