title: Linear control theory for gene network modeling.
abstract: Systems biology is an interdisciplinary field that aims at understanding complex interactions in cells. Here we demonstrate that linear control theory can provide valuable insight and practical tools for the characterization of complex biological networks. We provide the foundation for such analyses through the study of several case studies including cascade and parallel forms, feedback and feedforward loops. We reproduce experimental results and provide rational analysis of the observed behavior. We demonstrate that methods such as the transfer function (frequency domain) and linear state-space (time domain) can be used to predict reliably the properties and transient behavior of complex network topologies and point to specific design strategies for synthetic networks.
authors.affiliation: Department of Electrical Engineering, University of Texas at Dallas, Richardson, Texas, USA. yshin@cornell.edu
authors.forename: Yong-Jun
authors.initials: YJ
authors.lastname: Shin
authors.forename: Leonidas
authors.initials: L
authors.lastname: Bleris
mesh_terms: D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks; D016014:Linear Models; D008954:Models, Biological; D049490:Systems Biology