Prediction of Transcriptional Patterns of Gene Deletion Mutants by Modified Control Effective Flux

Metabolic Pathway Analysis (MPA) is important tool in the field of metabolic engineering. The possible pathway from substrates to products, or internal loops could be analyzed by Elementary Mode (EM) or Extreme Pathways (EP). An application of EMs is to predict transcriptional patterns for carbon source perturbation conditions by Control Effective Fluxes (CEFs) [1]. In our previous study [2], CEF is revised to gene modification conditions, for example, gene deletion or enzyme over-expression. The published gene expression data will vary for different sources due to the technical or biological reasons. In this study, the prediction capability of modified CEF (mCEF) is compared with the experimental data of different sources for pgi [3], sucA [4] and pykF [5] mutants of E. coli. The selection of cellular function is also discussed.