 We demonstrate that  structure-only methods fail to properly characterize controllability in these nonlinear systems; even in very simple networks, a large variation of possible dynamics can occur for the same structure, each with different control profiles. Our methodology is also used to characterize critical control variables in three models of biochemical regulation: the Drosophila melanogaster single-cell segment polarity network , the eukaryotic cell cycle of budding yeast Saccharomyces cerevisiae, and the URLan arrangement in Arabidopsis thaliana.
<clarity>  We demonstrate that  structure-only methods fail to properly characterize controllability in these nonlinear systems; even in very simple networks, a large variation of possible dynamics can occur for the same structure, each with different control profiles. Our methodology is also used to characterize critical control variables in three models of biochemical regulation: the Drosophila melanogaster single-cell segment polarity network , the eukaryotic cell cycle of budding yeast Saccharomyces cerevisiae, and the URLan arrangement in Arabidopsis thaliana.
 We demonstrate that structure-only methods fail to characterize controllability when dynamics are introduced. We study Boolean network ensembles of network motifs as well as three models of biochemical regulation: the Drosophila melanogaster single-cell segment polarity network , the eukaryotic cell cycle of budding yeast Saccharomyces cerevisiae, and the URLan arrangement in Arabidopsis thaliana.