Genome-scale modeling of tissue and cancer metabolism

Livnat Jerby; Eytan Ruppin

doi:10.1007/978-3-319-01008-3_14

Genome-scale modeling of tissue and cancer metabolism

Livnat Jerby, Eytan Ruppin^*

^*Corresponding author for this work

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The emergence of ‘omics’ technologies has enabled global reconstruction of cellular metabolic networks. While detailed kinetic modeling of these networks remain challenging due to a lack of kinetic, network analysis based on appropriate constraints such as the steady-state condition (constraint-based analysis) is already feasible. Here the methods for the reconstruction of metabolic networks are reviewed along with recent developments in the field, including the modeling techniques such as flux balance analysis and elementary flux modes.

Original language	English
Title of host publication	A Systems Biology Approach to Study Metabolic Syndrome
Publisher	Springer International Publishing
Pages	281-298
Number of pages	18
ISBN (Electronic)	9783319010083
ISBN (Print)	9783319010076
DOIs	https://doi.org/10.1007/978-3-319-01008-3_14
State	Published - 1 Jan 2014

Keywords

Constraint based modeling
Human metabolic model
Metabolic networks

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-319-01008-3_14

Cite this

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Genome-scale modeling of tissue and cancer metabolism

Abstract

Keywords

UN SDGs

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