Algorithmic Gap-Filling (Smiley)
General concept
When a metabolic model incorrectly predicts that the organism cannot grow in a certain medium, missing pathways can be predicted with MILP by minimizing the number of reactions from a universal reaction database that must be added to reconcile the failed prediction.
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
Related methods
page revision: 0, last edited: 02 Apr 2013 18:51