The effect of network topology on the stability of discrete state models of genetic control.

ABSTRACT: Boolean networks have been proposed as potentially useful models for genetic control. An important aspect of these networks is the stability of their dynamics in response to small perturbations. Previous approaches to stability have assumed uncorrelated random network structure. Real gene networks typically have nontrivial topology significantly different from the random network paradigm. To address such situations, we present a general method for determining the stability of large Boolean networks of any specified network topology and predicting their steady-state behavior in response to small perturbations. Additionally, we generalize to the case where individual genes have a distribution of "expression biases," and we consider a nonsynchronous update, as well as extension of our method

SUBMITTER: Pomerance A 

PROVIDER: S-EPMC2688895 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature