Integration of Microarray Data into a Genome-Scale Metabolic Model to Study Flux Distribution after Gene Knockout

Prediction of perturbations after genetic manipulation
(especially gene knockout) is one of the important challenges in
systems biology. In this paper, a new algorithm is introduced that
integrates microarray data into the metabolic model. The algorithm
was used to study the change in the cell phenotype after knockout of
Gss gene in Escherichia coli BW25113. Algorithm implementation
indicated that gene deletion resulted in more activation of the
metabolic network. Growth yield was more and less regulating gene
were identified for mutant in comparison with the wild-type strain.

Authors:

• Mona Heydari
• Ehsan Motamedian
• Seyed Abbas Shojaosadati

Keywords:

• Metabolic network
• gene knockout
• flux balance analysis
• microarray data
• integration.

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