Following network reconstruction an array of network properties can be identified. These properties range from tallies of reaction and metabolite numbers, to more complex properties such as producible metabolites for a given media composition. Network properties can aid in quality assessment of the reconstructed network, and provide valuable information for metabolic engineering efforts.
For example, one straightforward prediction is mutant viability for a given growth condition. If experimental growth data is available, comparison between predicted and observed viability provides an excellent assessment metric for, and a wealth of information about, the reconstructed network (figure).
Another example is flux coupling: reactions that form linear pathways need to operate in unison, and these reaction sets can be readily identified. Coupled reactions are interesting because the offer multiple engineering targets for the up or down regulation of a pathway.
There are in fact many types of network analyses that can be performed, and the value of a given analysis depends on the purpose that the engineer/scientist has. GenomeCraft is happy to suggest suitable analysis for a given purpose, and will provide a full interpretation of analysis results in context of the stated purpose/question.
Relevant publications