General concept

Regulatory rules in constraint-based modeling are occasionally too stringent and incorrectly predict a no-growth phenotype in an integrated regulatory/metabolic network. These incorrect predictions result from either incorrect regulatory rules or alternative pathways missing from the model. Predicted corrections can be made computationally. GeneForce identifies the minimum number of regulatory rule changes necessary to make the model grow as seen experimentally. In addition, it predicted genes that should rescue growth if overexpressed.

Items to consider when implementing

Software packages with this method

Applications of interest

Description of study and link to study:

What was learned with this method:

Relevant references

Barua, et al.

Related methods

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