Title

Metabolic network modeling with model organisms

UMMS Affiliation

Program in Systems Biology; Program in Molecular Medicine; UMass Metabolic Network

Date

2-1-2017

Document Type

Article

Disciplines

Biochemistry | Biochemistry, Biophysics, and Structural Biology | Cellular and Molecular Physiology | Genetics and Genomics | Systems Biology

Abstract

Flux balance analysis (FBA) with genome-scale metabolic network models (GSMNM) allows systems level predictions of metabolism in a variety of organisms. Different types of predictions with different accuracy levels can be made depending on the applied experimental constraints ranging from measurement of exchange fluxes to the integration of gene expression data. Metabolic network modeling with model organisms has pioneered method development in this field. In addition, model organism GSMNMs are useful for basic understanding of metabolism, and in the case of animal models, for the study of metabolic human diseases. Here, we discuss GSMNMs of most highly used model organisms with the emphasis on recent reconstructions.

Rights and Permissions

Citation: Curr Opin Chem Biol. 2017 Feb;36:32-39. doi: 10.1016/j.cbpa.2016.12.025. Epub 2017 Jan 12 Link to article on publisher's site

Related Resources

Link to Article in PubMed

Journal Title

Current opinion in chemical biology

PubMed ID

28088694