GlobalFit: Bi-Level Optimization of Metabolic Network Models

Initial metabolic networks often inaccurately predict in-silico growth or non-growth if compared to in-vivo data. This package refines metabolic network models by making networks changes (i.e., removing, adding, changing reversibility of reactions; adding and removing biomass metabolites) and simultaneously matching sets of experimental growth and non-growth data (e.g., KO-mutants, mutants grown under different media conditions,...)

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AuthorDaniel Hartleb
Date of publication2016-08-12 12:36:23
MaintainerDaniel Hartleb <>

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