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While the need for tissue-specific metabolic models is strong, the available number remains small.
Network mapping onto reconstructed human metabolic models is a novel addition to correlation analysis.
This standard in evaluating metabolic models is applied to different conditions for which data are available [ 16].
Thus, comparing the components of their metabolic models is essential for understanding the tissue-specific metabolic behavior.
The creation and modification of genome-scale metabolic models is a task that requires specialized software tools.
The broadest level typically associated with metabolic models is genomic context i.e., the full enzymatic capability encoded in the genome.
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Molecular level metabolic models were constructed to represent the central metabolism of three functional guilds thought to be important to material and energy flows through this community [ 12].
Briefly, 83 normal cell type genome-scale metabolic models were downloaded at www.metabolicatlas.org.org
Genome-scale metabolic models are increasingly becoming available for a variety of microorganisms.
Genome-scale metabolic models were constructed for Arthrobacter, the atrazine degrader, and four other non-atrazine degrading species whose relative abundance in soil was changed following exposure to the herbicide.
As larger metabolic models are developed with increasing genetic information and experimental validation, the demand to incorporate kinetic information increases.
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