Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth (Q29397612)

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scientific article (publication date: 14 November 2002)

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English	Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth	scientific article (publication date: 14 November 2002)

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title

Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth (English)

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https://doi.org/10.1038%2FNATURE01149

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14 April 2017

main subject

adaptive evolution

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inferred from title

in silico

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Escherichia coli K-12

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author

Bernhard Palsson

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3

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Bernhard O. Palsson

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https://doi.org/10.1038%2FNATURE01149

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14 April 2017

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Rafael U. Ibarra

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1

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https://doi.org/10.1038%2FNATURE01149

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14 April 2017

Jeremy S. Edwards

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14 April 2017

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English

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publication date

14 November 2002

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14 April 2017

published in

Nature

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https://doi.org/10.1038%2FNATURE01149

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volume

420

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issue

6912

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page(s)

186-189

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14 April 2017

cites work

The complete genome sequence of Escherichia coli K-12

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21 April 2017

The EcoCyc Database

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A general definition of metabolic pathways useful for systematic organization and analysis of complex metabolic networks

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The Escherichia coli MG1655 in silico metabolic genotype: its definition, characteristics, and capabilities

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In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data

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21 April 2017

The Department of Energy microbial cell project: A 180 degrees paradigm shift for biology.

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7 January 2021

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Metabolic modeling of microbial strains in silico.

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A reconstruction of the metabolism of Methanococcus jannaschii from sequence data.

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WIT: integrated system for high-throughput genome sequence analysis and metabolic reconstruction

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Mathematical modelling of metabolism

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E-CELL: software environment for whole-cell simulation

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Genome-scale metabolic model of Helicobacter pylori 26695.

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7 January 2021

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Stoichiometric flux balance models quantitatively predict growth and metabolic by-product secretion in wild-type Escherichia coli W3110.

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The challenges of in silico biology

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Metabolic Flux Balancing: Basic Concepts, Scientific and Practical Use

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Modeling and simulation: tools for metabolic engineering

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Characterizing the metabolic phenotype: a phenotype phase plane analysis

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Use of a glycerol-limited, long-term chemostat for isolation of Escherichia coli mutants with improved physiological properties.

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10.1038/NATURE01149

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https://doi.org/10.1038%2FNATURE01149

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14 April 2017

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Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

413274

Dimensions Publication ID

1025902533

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OpenCitations bibliographic resource ID

413274

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Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

413274

PubMed publication ID

12432395

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Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

413274

 

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