Mapping the landscape of metabolic goals of a cell

作者：Zhao Qi; Stettner Arion I; Reznik Ed; Paschalidis Ioannis Ch^*; Segre Daniel^*

来源：Genome Biology, 2016, 17(1): 109.

DOI：10.1186/s13059-016-0968-2

• Metabolic networks
• Flux balance analysis
• Inverse optimization
• Objective functions
• Genome-scale stoichiometric models

Genome-scale flux balance models of metabolism provide testable predictions of all metabolic rates in an organism, by assuming that the cell is optimizing a metabolic goal known as the objective function. We introduce an efficient inverse flux balance analysis (invFBA) approach, based on linear programming duality, to characterize the space of possible objective functions compatible with measured fluxes. After testing our algorithm on simulated E. coli data and time-dependent S. oneidensis fluxes inferred from gene expression, we apply our inverse approach to flux measurements in long-term evolved E. coli strains, revealing objective functions that provide insight into metabolic adaptation trajectories.

• 出版日期2016-5-23