Integration of enzyme activities into metabolic flux distributions by elementary mode analysis.

ABSTRACT:

Background

In systems biology, network-based pathway analysis facilitates understanding or designing metabolic systems and enables prediction of metabolic flux distributions. Network-based flux analysis requires considering not only pathway architectures but also the proteome or transcriptome to predict flux distributions, because recombinant microbes significantly change the distribution of gene expressions. The current problem is how to integrate such heterogeneous data to build a network-based model.

Results

To link enzyme activity data to flux distributions of metabolic networks, we have proposed Enzyme Control Flux (ECF), a novel model that integrates enzyme activity into elementary mode analysis (EMA). ECF presents the power-law formula describing how changes in enzyme

SUBMITTER: Kurata H 

PROVIDER: S-EPMC1973080 | biostudies-literature | 2007 Jul

REPOSITORIES: biostudies-literature