Based on recent theoretical results on optimal flux distributions in kinetic metabolic networks, we explore the congruences and differences between solutions of kinetic optimization problems and results obtained by constraint-based methods. We demonstrate that, for a certain resource allocation problem, kinetic optimization and standard flux balance analysis (FBA) give rise to qualitatively different results. Furthermore, we introduce a variant of FBA, called satFBA, whose predictions are in qualitative agreement with kinetic optimization.
Resource allocation in metabolic networks: kinetic optimization and approximations by FBA
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Stefan Müller, Georg Regensburger, Ralf Steuer; Resource allocation in metabolic networks: kinetic optimization and approximations by FBA. Biochem Soc Trans 1 December 2015; 43 (6): 1195–1200. doi: https://doi.org/10.1042/BST20150156
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