Quantifying robustness of biochemical network models

Background: Robustness of mathematical models of biochemical networks is important for validation purposes and can be used as a means of selecting between different competing models. Tools for quantifying parametric robustness are needed. Results: Two techniques for describing quantitatively the robustness of an oscillatory model were presented and contrasted. Single-parameter bifurcation analysis was used to evaluate the stability robustness of the limit cycle oscillation as well as the frequency and amplitude of oscillations. A tool from control engineering

• Type: Journal
• Year: 2002
• Where: BMCBI
• Authors: Lan Ma, Pablo A. Iglesias
• Keywords: BMCBI 2002, Limit Cycle, Robustness, SSV Analysis