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

Reed, et al.

Related methods

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