Computational Systems Biology of Metabolism in Infection

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 co...

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Bibliographic Details
Published inExperientia supplementum (2012) Vol. 109; p. 235
Main Authors Cesur, Müberra Fatma, Abdik, Ecehan, Güven-Gülhan, Ünzile, Durmuş, Saliha, Çakır, Tunahan
Format Journal Article
LanguageEnglish
Published Switzerland 2018
Subjects
Genome
Host-Pathogen Interactions
Humans
Infection - metabolism
Metabolic Networks and Pathways
Metabolomics
Systems Biology
Drug target
Fluxomics
Metabolomics
Flux balance analysis
Pathogen-host interaction
Genome-scale metabolic network
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Summary: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.
ISSN:1664-431X
DOI:10.1007/978-3-319-74932-7_6