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Reconstruction of Metabolic Models for Liver Cancer Cells

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Book cover 10th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 477))

Abstract

The liver is one of the largest organs of the adult body and most of its tissue is formed by hepatocyte cells, the main site of the metabolic conversions underlying its diverse physiological functions. Hepatocellular carcinoma is one of the most important human cancers. Genome-Scale Metabolic Models (GSMMs), mathematical representations of the cell metabolism in different organisms including humans, are useful tools to simulate metabolic phenotypes and understand metabolic diseases. In the last years, a few algorithms have been developed to generate tissue-specific metabolic models that allow the simulation of phenotypes for distinct cell types/tissues. This work based on general template GSMMs, which are integrated with available omics data. In this work, we propose to develop a pipeline for the systematic evaluation of these algorithms in the creation of models for regular hepatocytes and cancer cell lines, addressing the comparison of the final models obtained.

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Authors and Affiliations

  1. Centre Biological Engineering, University of Minho, Braga, Portugal

    Jorge Ferreira, Sara Correia & Miguel Rocha

Authors
  1. Jorge Ferreira
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  2. Sara Correia
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  3. Miguel Rocha
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Corresponding author

Correspondence to Jorge Ferreira .

Editor information

Editors and Affiliations

  1. Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia

    Mohd Saberi Mohamad

  2. Dep. de Inf.Campus of Gualtar, Universidade do Minho, Braga, Portugal

    Miguel P. Rocha

  3. Edificio Poli.Campus Univ.o As La, Escuela Superior de Ingeniería Informáti, Ourense, Spain

    Florentino Fdez-Riverola

  4. ETS Ingeniería Info., University of Sevilla, Sevilla, Spain

    Francisco J. Domínguez Mayo

  5. Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain

    Juan F. De Paz

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© 2016 Springer International Publishing Switzerland

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Ferreira, J., Correia, S., Rocha, M. (2016). Reconstruction of Metabolic Models for Liver Cancer Cells. In: Saberi Mohamad, M., Rocha, M., Fdez-Riverola, F., Domínguez Mayo, F., De Paz, J. (eds) 10th International Conference on Practical Applications of Computational Biology & Bioinformatics. PACBB 2016. Advances in Intelligent Systems and Computing, vol 477. Springer, Cham. https://doi.org/10.1007/978-3-319-40126-3_22

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  • DOI: https://doi.org/10.1007/978-3-319-40126-3_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40125-6

  • Online ISBN: 978-3-319-40126-3

  • eBook Packages: EngineeringEngineering (R0)

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