Flux balance analysis-based ranking for model order reduction of biochemical networks

Abstract This paper presents a parameter free approach to identify the importance of reactions (and involved species) in biochemical reaction networks for purpose model order reduction. The new methodology is based on structure network assuming that at steady state flux distribution preserved. Our method employs Flux Balance Analysis (FBA) calculate these distributions. ranking comparison FBA results original and reduced networks. main this identification step guide selection species could be deleted by reduction methods. illustrated Glycolysis, where performed via Kron considering elimination less sensitive proposed method. shows global dynamics accurately reproduced with smaller number species.