Mathematical identification of critical reactions in the interlocked feedback model.

ABSTRACT: Dynamic simulations are necessary for understanding the mechanism of how biochemical networks generate robust properties to environmental stresses or genetic changes. Sensitivity analysis allows the linking of robustness to network structure. However, it yields only local properties regarding a particular choice of plausible parameter values, because it is hard to know the exact parameter values in vivo. Global and firm results are needed that do not depend on particular parameter values. We propose mathematical analysis for robustness (MAR) that consists of the novel evolutionary search that explores all possible solution vectors of kinetic parameters satisfying the target dynamics and robustness analysis. New criteria, parameter spectrum width and the variability of solution vectors for

SUBMITTER: Kurata H 

PROVIDER: S-EPMC2040204 | biostudies-literature | 2007 Oct

REPOSITORIES: biostudies-literature