Whole-genome transcription profiling analysis

Traditionally, to identify the function of a protein the first step was to obtain a mutant and study its properties. This same procedure can also be applied to whole-cell models. A detailed understanding of the metabolic network is possible by understanding the behavior of the system without a key component. The FBA has been used to predict the whole-cell metabolic flux distribution for a number of mutants under different conditions. The results of the computational gene deletion analysis indicate that the model accurately predicts the qualitative growth behavior in over 85% of the cases. Genome enabled studies, such as the analysis of large sets of mutants in parallel and whole-cell transcript profiling, can be further aided by the interpretation of the data from a metabolic model. ... 

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