Formulating genome-scale kinetic models in the post-genome era.

ABSTRACT: The biological community is now awash in high-throughput data sets and is grappling with the challenge of integrating disparate data sets. Such integration has taken the form of statistical analysis of large data sets, or through the bottom-up reconstruction of reaction networks. While progress has been made with statistical and structural methods, large-scale systems have remained refractory to dynamic model building by traditional approaches. The availability of annotated genomes enabled the reconstruction of genome-scale networks, and now the availability of high-throughput metabolomic and fluxomic data along with thermodynamic information opens the possibility to build genome-scale kinetic models. We describe here a framework for building and analyzing such models. The mathematical ana

SUBMITTER: Jamshidi N 

PROVIDER: S-EPMC2290940 | biostudies-literature | 2008

REPOSITORIES: biostudies-literature