Computational Systems Biology of Metabolism in Infection

  • Müberra Fatma Cesur
  • Ecehan Abdik
  • Ünzile Güven-Gülhan
  • Saliha Durmuş
  • Tunahan Çakır
Part of the Experientia Supplementum book series (EXS, volume 109)


A systems approach to elucidate the effect of infection on cell metabolism provides several opportunities from a better understanding of molecular mechanisms to the identification of potential biomarkers and drug targets. This is obvious from the fact that we have witnessed the accelerated use of computational systems biology in the last five years to study metabolic changes in pathogen and/or host cells in response to infection. In this chapter, we aim to present a comprehensive review of the recent research by focusing on genome-scale metabolic network models of pathogen-host systems and genome-wide metabolomics and fluxomics analysis of infected cells.


Genome-scale metabolic network Flux balance analysis Drug target Metabolomics Fluxomics Pathogen-host interaction 



This work was financially supported by the Turkish Academy of Sciences—Outstanding Young Scientists Award Program (TUBA-GEBIP), and by TUBITAK, The Scientific and Technological Research Council of Turkey (Project Code: 316S005).


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Müberra Fatma Cesur
    • 1
  • Ecehan Abdik
    • 1
  • Ünzile Güven-Gülhan
    • 1
  • Saliha Durmuş
    • 1
  • Tunahan Çakır
    • 1
  1. 1.Computational Systems Biology Group, Department of BioengineeringGebze Technical UniversityGebzeTurkey

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