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Designing Optimized Production Hosts by Metabolic Modeling

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Metabolic Network Reconstruction and Modeling

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1716))

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Abstract

Many of the complex and expensive production steps in the chemical industry are readily available in living cells. In order to overcome the metabolic limits of these cells, the optimal genetic intervention strategies can be computed by the use of metabolic modeling. Elementary flux mode analysis (EFMA) is an ideal tool for this task, as it does not require defining a cellular objective function. We present two EFMA-based methods to optimize production hosts: (1) the standard approach that can only be used for small and medium scale metabolic networks and (2) the advanced dual system approach that can be utilized to directly compute intervention strategies in a genome-scale metabolic model.

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Acknowledgment

This work was supported by the Austrian BMWFW, BMVIT, SFG, Standortagentur Tirol, Government of Lower Austria and ZIT through the Austrian FFG-COMET-Funding Program. D.A.P.N. was funded by the Austrian Science Fund (FWF): Doctoral Program BioToP—Biomolecular Technology of Proteins (FWF W1224).

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Authors and Affiliations

  1. TGM - Technologisches Gewerbemuseum, HTBLuVA Wien XX, Vienna, Austria

    Christian Jungreuthmayer

  2. Austrian Centre of Industrial Biotechnology, Vienna, Austria

    Christian Jungreuthmayer, Matthias P. Gerstl, David A. Peña Navarro, Michael Hanscho, David E. Ruckerbauer & Jürgen Zanghellini

  3. Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria

    Matthias P. Gerstl, David A. Peña Navarro, Michael Hanscho, David E. Ruckerbauer & Jürgen Zanghellini

Authors
  1. Christian Jungreuthmayer
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  2. Matthias P. Gerstl
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  3. David A. Peña Navarro
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  4. Michael Hanscho
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  5. David E. Ruckerbauer
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  6. Jürgen Zanghellini
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Corresponding author

Correspondence to Jürgen Zanghellini .

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Editors and Affiliations

  1. Department of Biology, University of Florence, Sesto Fiorentino, Florence, Italy

    Marco Fondi

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Jungreuthmayer, C., Gerstl, M.P., Peña Navarro, D.A., Hanscho, M., Ruckerbauer, D.E., Zanghellini, J. (2018). Designing Optimized Production Hosts by Metabolic Modeling. In: Fondi, M. (eds) Metabolic Network Reconstruction and Modeling. Methods in Molecular Biology, vol 1716. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7528-0_17

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  • DOI: https://doi.org/10.1007/978-1-4939-7528-0_17

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7527-3

  • Online ISBN: 978-1-4939-7528-0

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