Experimental design for parameter estimation of gene regulatory networks
16.07.2012
Steiert B, Raue A, Timmer J, Kreutz C.
PLoS One. 2012;7(7):e40052
Systems biology aims for building quantitative models to address unresolved issues in molecular biology. In order to describe the behavior of biological cells adequately, gene regulatory networks (GRNs) are intensively investigated. As the validity of models built for GRNs depends crucially on the kinetic rates, various methods have been developed to estimate these parameters from experimental data. For this purpose, it is favorable to choose the experimental conditions yielding maximal information.