Literature DB >> 15044828

Quantitative analysis of Escherichia coli metabolic phenotypes within the context of phenotypic phase planes.

R U Ibarra1, P Fu, B O Palsson, J R DiTonno, J S Edwards.   

Abstract

In silico models of Escherichia coli metabolism have been developed to predict metabolic behavior and propose experimentally testable hypotheses. However, a thorough assessment of the metabolic phenotype requires well-designed experimentation and reproducible experimental techniques. A method for the quantitative analysis of E. coli metabolism in vivo within the framework of in silico phenotypic phase plane analysis is presented. Using this approach, we have quantitatively studied E. coli metabolism in various environmental conditions and nutritional media. Our experimental methodology, in combination with steady-state metabolic models, can be used to study biological properties and evaluate the metabolic capabilities of microbes. Copyright 2003 S. Karger AG, Basel

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Year:  2003        PMID: 15044828     DOI: 10.1159/000076740

Source DB:  PubMed          Journal:  J Mol Microbiol Biotechnol        ISSN: 1464-1801


  7 in total

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2.  Principles of transcriptional regulation and evolution of the metabolic system in E. coli.

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4.  Bacterial fitness landscapes stratify based on proteome allocation associated with discrete aero-types.

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Journal:  PLoS Comput Biol       Date:  2021-01-19       Impact factor: 4.475

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Authors:  Bas Teusink; Anne Wiersma; Leo Jacobs; Richard A Notebaart; Eddy J Smid
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6.  A framework for evolutionary systems biology.

Authors:  Laurence Loewe
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7.  Integrated analysis of metabolic phenotypes in Saccharomyces cerevisiae.

Authors:  Natalie C Duarte; Bernhard Ø Palsson; Pengcheng Fu
Journal:  BMC Genomics       Date:  2004-09-08       Impact factor: 3.969

  7 in total

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