Predicting metabolic engineering knockout strategies for chemical production: accounting for competing pathways (Q48238418)

9 February 2018

title

Predicting metabolic engineering knockout strategies for chemical production: accounting for competing pathways (English)

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9 February 2018

author name string

Naama Tepper

series ordinal

1

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Tomer Shlomi

series ordinal

2

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language of work or name

English

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publication date

23 December 2009

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published in

Bioinformatics

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volume

26

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issue

4

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page(s)

536-543

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Construction of lycopene-overproducing E. coli strains by combining systematic and combinatorial gene knockout targets.

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Energy balance for analysis of complex metabolic networks

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The effects of alternate optimal solutions in constraint-based genome-scale metabolic models

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Engineering a mevalonate pathway in Escherichia coli for production of terpenoids

21 January 2018

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Genome-scale in silico models of E. coli have multiple equivalent phenotypic states: assessment of correlated reaction subsets that comprise network states.

21 January 2018

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An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR)

21 January 2018

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Genome-scale metabolic model of Helicobacter pylori 26695.

21 January 2018

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Stoichiometric model for evaluating the metabolic capabilities of the facultative methylotroph Methylobacterium extorquens AM1, with application to reconstruction of C(3) and C(4) metabolism

21 January 2018

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10.1093/BIOINFORMATICS/BTP704

21 January 2018

Identifiers

DOI

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9 February 2018

journals/bioinformatics/TepperS10

DBLP publication ID

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DBLP Dataset 2021-01-02

release_vateftsynvczfjt56rihxrdvi4

28 January 2021

Fatcat ID

0 references

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9 February 2018