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

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

Abstract

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