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2017 | OriginalPaper | Buchkapitel

6. Assessing FBA Optimal States in the Feasible Flux Phenotypic Space

verfasst von : Oriol Güell

Erschienen in: A Network-Based Approach to Cell Metabolism

Verlag: Springer International Publishing

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Abstract

Optimal growth solutions can be confronted with the whole set of feasible flux phenotypes (FFP), which provides a reference map that helps to assess the likelihood of optimal and high-growth states and their extent of conformity with experimental results. In addition, FFP maps are able to uncover metabolic behaviours that are unreachable using models based on optimality principles. The information content of the full FFP space of metabolic states provides with an entire map to explore and evaluate metabolic behaviour and capabilities, opening new avenues for biotechnological and biomedical applications.

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Vorheriges Kapitel Detection of Evolution and Adaptation Fingerprints in Metabolic Networks

Nächstes Kapitel Conclusions

Notice that none of these histograms can have more than one peak due to the convexity of the steady-state flux space.

In the mathematical/computational context, typical means statistically representative in relation to the whole set of flux states contained in the FFP space.

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Titel: Assessing FBA Optimal States in the Feasible Flux Phenotypic Space
verfasst von: Oriol Güell
Verlag: Springer International Publishing
Buch: A Network-Based Approach to Cell Metabolism
Print ISBN: 978-3-319-63999-4

Electronic ISBN: 978-3-319-64000-6

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-64000-6_6

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