Resource allocation in metabolic networks: kinetic optimization and approximations by FBA

Biochem Soc Trans. 2015 Dec;43(6):1195-200. doi: 10.1042/BST20150156.


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.

Keywords: elementary flux modes; enzyme kinetics; metabolic optimization; non-linear optimization; satFBA.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Algorithms*
  • Computer Simulation
  • Kinetics
  • Metabolic Flux Analysis / methods*
  • Metabolic Networks and Pathways*
  • Models, Biological*
  • Reproducibility of Results