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Genome-Scale Metabolic Models of Saccharomyces cerevisiae

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Yeast Systems Biology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 759))

Abstract

Systematic analysis of Saccharomyces cerevisiae metabolic functions and pathways has been the subject of extensive studies and established in many aspects. With the reconstruction of the yeast genome-scale metabolic (GSM) network and in silico simulation of the GSM model, the nature of the underlying cellular processes can be tested and validated with the increasing metabolic knowledge. GSM models are also being exploited in fundamental research studies and industrial applications. In this chapter, the principle concepts for construction, simulation and validation of GSM models, progressive applications of the yeast GSM models, and future perspectives are described. This will support and encourage researchers who are interested in systemic analysis of yeast metabolism and systems biology.

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Authors and Affiliations

  1. Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden

    Intawat Nookaew, Roberto Olivares-Hernández & Jens Nielsen

  2. National Science and Technology Development Agency, Ministry of Science and Technology, Pathumthani, Thailand

    Sakarindr Bhumiratana

Authors
  1. Intawat Nookaew
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  2. Roberto Olivares-Hernández
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  3. Sakarindr Bhumiratana
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  4. Jens Nielsen
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Corresponding author

Correspondence to Intawat Nookaew .

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Editors and Affiliations

  1. , Department of Biochemistry, University of Cambridge, Tennis Court Road 80, Cambridge, CB2 1GA, United Kingdom

    Juan I. Castrillo

  2. , Department of Biochemistry, University of Cambridge, Tennis Court Road 80, Cambridge, CB2 1GA, United Kingdom

    Stephen G. Oliver

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Nookaew, I., Olivares-Hernández, R., Bhumiratana, S., Nielsen, J. (2011). Genome-Scale Metabolic Models of Saccharomyces cerevisiae . In: Castrillo, J., Oliver, S. (eds) Yeast Systems Biology. Methods in Molecular Biology, vol 759. Humana Press. https://doi.org/10.1007/978-1-61779-173-4_25

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  • DOI: https://doi.org/10.1007/978-1-61779-173-4_25

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