Flux balance analysis (FBA) is a mathematical approach for analyzing the flow of metabolites through a metabolic network. To computationally predict cell growth using FBA, one has to determine the biomass objective function that describes the rate at which all of the biomass precursors are made in the correct proportions. Here we review fundamental issues associated with its formulation and use to compute optimal growth states.
Bibliographical noteFunding Information:
We would like to thank Jacob D Feala and Daniel C Zielinski for their valuable feedback on this manuscript. Studies performed at UCSD were supported by National Institutes of Health Grant R01 GM057089.