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Assessing FBA Optimal States in the Feasible Flux Phenotypic Space

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A Network-Based Approach to Cell Metabolism

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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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Notes

  1. 1.

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

  2. 2.

    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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Authors and Affiliations

  1. Department of Materials Science and Physical Chemistry, University of Barcelona, Barcelona, Spain

    Oriol Güell

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  1. Oriol Güell
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Correspondence to Oriol Güell .

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Güell, O. (2017). Assessing FBA Optimal States in the Feasible Flux Phenotypic Space. In: A Network-Based Approach to Cell Metabolism. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-64000-6_6

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