Literature DB >> 20420838

Use of genome-scale metabolic models for understanding microbial physiology.

Liming Liu1, Rasmus Agren, Sergio Bordel, Jens Nielsen.   

Abstract

The exploitation of microorganisms in industrial, medical, food and environmental biotechnology requires a comprehensive understanding of their physiology. The availability of genome sequences and accumulation of high-throughput data allows gaining understanding of microbial physiology at the systems level, and genome-scale metabolic models represent a valuable framework for integrative analysis of metabolism of microorganisms. Genome-scale metabolic models are reconstructed based on a combination of genome sequence information and detailed biochemical information, and these reconstructed models can be used for analyzing and simulating the operation of metabolism in response to different stimuli. Here we discuss the requirement for having detailed physiological insight in order to exploit microorganisms for production of fuels, chemicals and pharmaceuticals. We further describe the reconstruction process of genome-scale metabolic models and different algorithms that can be used to apply these models to gain improved insight into microbial physiology. Copyright 2010 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

Mesh:

Year:  2010        PMID: 20420838     DOI: 10.1016/j.febslet.2010.04.052

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  24 in total

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Review 5.  Curating and comparing 114 strain-specific genome-scale metabolic models of Staphylococcus aureus.

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Journal:  NPJ Syst Biol Appl       Date:  2021-06-29

6.  The RAVEN toolbox and its use for generating a genome-scale metabolic model for Penicillium chrysogenum.

Authors:  Rasmus Agren; Liming Liu; Saeed Shoaie; Wanwipa Vongsangnak; Intawat Nookaew; Jens Nielsen
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7.  Fumaric acid production in Saccharomyces cerevisiae by in silico aided metabolic engineering.

Authors:  Guoqiang Xu; Wei Zou; Xiulai Chen; Nan Xu; Liming Liu; Jian Chen
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8.  Bridging the gap between gene expression and metabolic phenotype via kinetic models.

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Journal:  BMC Syst Biol       Date:  2013-07-22

9.  Modeling of Zymomonas mobilis central metabolism for novel metabolic engineering strategies.

Authors:  Uldis Kalnenieks; Agris Pentjuss; Reinis Rutkis; Egils Stalidzans; David A Fell
Journal:  Front Microbiol       Date:  2014-02-05       Impact factor: 5.640

10.  Genome-scale metabolic network reconstruction and in silico flux analysis of the thermophilic bacterium Thermus thermophilus HB27.

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Journal:  Microb Cell Fact       Date:  2014-04-28       Impact factor: 5.328

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