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Results: 1 to 20 of 126

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1.

Core and panmetabolism in Escherichia coli.

Vieira G, Sabarly V, Bourguignon PY, Durot M, Le Fèvre F, Mornico D, Vallenet D, Bouvet O, Denamur E, Schachter V, Médigue C.

J Bacteriol. 2011 Mar;193(6):1461-72. doi: 10.1128/JB.01192-10. Epub 2011 Jan 14.

2.

The evolution of metabolic networks of E. coli.

Baumler DJ, Peplinski RG, Reed JL, Glasner JD, Perna NT.

BMC Syst Biol. 2011 Nov 1;5:182. doi: 10.1186/1752-0509-5-182.

3.

Genome-scale metabolic reconstructions of multiple Escherichia coli strains highlight strain-specific adaptations to nutritional environments.

Monk JM, Charusanti P, Aziz RK, Lerman JA, Premyodhin N, Orth JD, Feist AM, Palsson BØ.

Proc Natl Acad Sci U S A. 2013 Dec 10;110(50):20338-43. doi: 10.1073/pnas.1307797110. Epub 2013 Nov 25.

4.

Metabolic modeling of common Escherichia coli strains in human gut microbiome.

Gao YD, Zhao Y, Huang J.

Biomed Res Int. 2014;2014:694967. doi: 10.1155/2014/694967. Epub 2014 Jul 13.

6.
7.

Analysis of genome plasticity in pathogenic and commensal Escherichia coli isolates by use of DNA arrays.

Dobrindt U, Agerer F, Michaelis K, Janka A, Buchrieser C, Samuelson M, Svanborg C, Gottschalk G, Karch H, Hacker J.

J Bacteriol. 2003 Mar;185(6):1831-40.

8.

Of woods and webs: possible alternatives to the tree of life for studying genomic fluidity in E. coli.

Beauregard-Racine J, Bicep C, Schliep K, Lopez P, Lapointe FJ, Bapteste E.

Biol Direct. 2011 Jul 20;6:39; discussion 39. doi: 10.1186/1745-6150-6-39.

9.

Probabilistic integrative modeling of genome-scale metabolic and regulatory networks in Escherichia coli and Mycobacterium tuberculosis.

Chandrasekaran S, Price ND.

Proc Natl Acad Sci U S A. 2010 Oct 12;107(41):17845-50. doi: 10.1073/pnas.1005139107. Epub 2010 Sep 27.

10.

Flux coupling analysis of metabolic networks is sensitive to missing reactions.

Marashi SA, Bockmayr A.

Biosystems. 2011 Jan;103(1):57-66. doi: 10.1016/j.biosystems.2010.09.011. Epub 2010 Oct 1.

PMID:
20888889
11.

Exploiting the pathway structure of metabolism to reveal high-order epistasis.

Imielinski M, Belta C.

BMC Syst Biol. 2008 Apr 30;2:40. doi: 10.1186/1752-0509-2-40.

12.

Can the whole be less than the sum of its parts? Pathway analysis in genome-scale metabolic networks using elementary flux patterns.

Kaleta C, de Figueiredo LF, Schuster S.

Genome Res. 2009 Oct;19(10):1872-83. doi: 10.1101/gr.090639.108. Epub 2009 Jun 18.

13.

Exploration of the core metabolism of symbiotic bacteria.

Klein CC, Cottret L, Kielbassa J, Charles H, Gautier C, Ribeiro de Vasconcelos AT, Lacroix V, Sagot MF.

BMC Genomics. 2012 Aug 31;13:438. doi: 10.1186/1471-2164-13-438.

14.

The decoupling between genetic structure and metabolic phenotypes in Escherichia coli leads to continuous phenotypic diversity.

Sabarly V, Bouvet O, Glodt J, Clermont O, Skurnik D, Diancourt L, de Vienne D, Denamur E, Dillmann C.

J Evol Biol. 2011 Jul;24(7):1559-71. doi: 10.1111/j.1420-9101.2011.02287.x. Epub 2011 May 13.

15.

Exploring metabolic pathways in genome-scale networks via generating flux modes.

Rezola A, de Figueiredo LF, Brock M, Pey J, Podhorski A, Wittmann C, Schuster S, Bockmayr A, Planes FJ.

Bioinformatics. 2011 Feb 15;27(4):534-40. doi: 10.1093/bioinformatics/btq681. Epub 2010 Dec 10.

16.

Optimal regulatory strategies for metabolic pathways in Escherichia coli depending on protein costs.

Wessely F, Bartl M, Guthke R, Li P, Schuster S, Kaleta C.

Mol Syst Biol. 2011 Jul 19;7:515. doi: 10.1038/msb.2011.46.

17.

Identification of genome-scale metabolic network models using experimentally measured flux profiles.

Herrgård MJ, Fong SS, Palsson BØ.

PLoS Comput Biol. 2006 Jul 7;2(7):e72. Epub 2006 May 10.

18.

Estimating variation within the genes and inferring the phylogeny of 186 sequenced diverse Escherichia coli genomes.

Kaas RS, Friis C, Ussery DW, Aarestrup FM.

BMC Genomics. 2012 Oct 31;13:577. doi: 10.1186/1471-2164-13-577.

19.

Comparison of 61 sequenced Escherichia coli genomes.

Lukjancenko O, Wassenaar TM, Ussery DW.

Microb Ecol. 2010 Nov;60(4):708-20. doi: 10.1007/s00248-010-9717-3. Epub 2010 Jul 11. Review.

20.

Molecular evolution of the nicotinic acid requirement within the Shigella/EIEC pathotype.

Di Martino ML, Fioravanti R, Barbabella G, Prosseda G, Colonna B, Casalino M.

Int J Med Microbiol. 2013 Dec;303(8):651-61. doi: 10.1016/j.ijmm.2013.09.007. Epub 2013 Sep 13.

PMID:
24120364
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