BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale.

ABSTRACT: Metabolic fluxes, the number of metabolites traversing each biochemical reaction in a cell per unit time, are crucial for assessing and understanding cell function. 13C Metabolic Flux Analysis (13C MFA) is considered to be the gold standard for measuring metabolic fluxes. 13C MFA typically works by leveraging extracellular exchange fluxes as well as data from 13C labeling experiments to calculate the flux profile which best fit the data for a small, central carbon, metabolic model. However, the nonlinear nature of the 13C MFA fitting procedure means that several flux profiles fit the experimental data within the experimental error, and traditional optimization methods offer only a partial or skewed picture, especially in "non-gaussian" situations where multiple very distinct flux regions f

SUBMITTER: Backman TWH 

PROVIDER: S-EPMC10664898 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature