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Yeast Systems Biology pp 329–345Cite as

Genome-Scale Metabolic Modeling from Yeast to Human Cell Models of Complex Diseases: Latest Advances and Challenges

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 2049))

Abstract

Genome-scale metabolic models (GEMs) are mathematical models that enable systematic analysis of metabolism. This modeling concept has been applied to study the metabolism of many organisms including the eukaryal model organism, the yeast Saccharomyces cerevisiae, that also serves as an important cell factory for production of fuels and chemicals. With the application of yeast GEMs, our knowledge of metabolism is increasing. Therefore, GEMs have also been used for modeling human cells to study metabolic diseases. Here we introduce the concept of GEMs and provide a protocol for reconstructing GEMs. Besides, we show the historic development of yeast GEMs and their applications. Also, we review human GEMs as well as their uses in the studies of complex diseases.

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Authors and Affiliations

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

    Yu Chen, Gang Li & Jens Nielsen

  2. Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, Gothenburg, Sweden

    Yu Chen, Gang Li & Jens Nielsen

  3. Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark

    Jens Nielsen

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  1. Yu Chen
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  2. Gang Li
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  3. Jens Nielsen
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Correspondence to Jens Nielsen .

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Editors and Affiliations

  1. Department of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK

    Stephen G. Oliver

  2. Genetadi Biotech, Parque Tecnológico de Bizkaia, Biscay, Spain

    Juan I. Castrillo

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Chen, Y., Li, G., Nielsen, J. (2019). Genome-Scale Metabolic Modeling from Yeast to Human Cell Models of Complex Diseases: Latest Advances and Challenges. In: Oliver, S.G., Castrillo, J.I. (eds) Yeast Systems Biology. Methods in Molecular Biology, vol 2049. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9736-7_19

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  • DOI: https://doi.org/10.1007/978-1-4939-9736-7_19

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