Identification of genome-scale metabolic network models using experimentally measured flux profiles.

ABSTRACT: Genome-scale metabolic network models can be reconstructed for well-characterized organisms using genomic annotation and literature information. However, there are many instances in which model predictions of metabolic fluxes are not entirely consistent with experimental data, indicating that the reactions in the model do not match the active reactions in the in vivo system. We introduce a method for determining the active reactions in a genome-scale metabolic network based on a limited number of experimentally measured fluxes. This method, called optimal metabolic network identification (OMNI), allows efficient identification of the set of reactions that results in the best agreement between in silico predicted and experimentally measured flux distributions. We applied the method to intra

SUBMITTER: Herrgard MJ 

PROVIDER: S-EPMC1487183 | biostudies-literature | 2006 Jul

REPOSITORIES: biostudies-literature