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Items: 1 to 20 of 349

1.

Structural analysis of metabolic networks based on flux centrality.

Koschützki D, Junker BH, Schwender J, Schreiber F.

J Theor Biol. 2010 Aug 7;265(3):261-9. doi: 10.1016/j.jtbi.2010.05.009. Epub 2010 May 18.

PMID:
20471988
2.

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.

4.

Robustness analysis of the Escherichia coli metabolic network.

Edwards JS, Palsson BO.

Biotechnol Prog. 2000 Nov-Dec;16(6):927-39.

PMID:
11101318
5.
6.

Restricted cooperative games on metabolic networks reveal functionally important reactions.

Sajitz-Hermstein M, Nikoloski Z.

J Theor Biol. 2012 Dec 7;314:192-203. doi: 10.1016/j.jtbi.2012.08.018. Epub 2012 Aug 23.

PMID:
22940237
7.

Metabolite-centric approaches for the discovery of antibacterials using genome-scale metabolic networks.

Kim TY, Kim HU, Lee SY.

Metab Eng. 2010 Mar;12(2):105-11. doi: 10.1016/j.ymben.2009.05.004. Epub 2009 May 28.

PMID:
19481614
8.

Flux-sum analysis: a metabolite-centric approach for understanding the metabolic network.

Chung BK, Lee DY.

BMC Syst Biol. 2009 Dec 19;3:117. doi: 10.1186/1752-0509-3-117.

9.

A metabolite-centric view on flux distributions in genome-scale metabolic models.

Riemer SA, Rex R, Schomburg D.

BMC Syst Biol. 2013 Apr 12;7:33. doi: 10.1186/1752-0509-7-33.

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.

Monte Carlo sampling and principal component analysis of flux distributions yield topological and modular information on metabolic networks.

Sariyar B, Perk S, Akman U, Hortaçsu A.

J Theor Biol. 2006 Sep 21;242(2):389-400. Epub 2006 Jul 24.

PMID:
16860341
12.

Stability of metabolic correlations under changing environmental conditions in Escherichia coli--a systems approach.

Szymanski J, Jozefczuk S, Nikoloski Z, Selbig J, Nikiforova V, Catchpole G, Willmitzer L.

PLoS One. 2009 Oct 15;4(10):e7441. doi: 10.1371/journal.pone.0007441.

13.

Genome-scale modeling and in silico analysis of mouse cell metabolic network.

Selvarasu S, Karimi IA, Ghim GH, Lee DY.

Mol Biosyst. 2010 Jan;6(1):152-61. doi: 10.1039/b912865d. Epub 2009 Sep 2.

PMID:
20024077
14.

Predicting novel pathways in genome-scale metabolic networks.

Schuster S, de Figueiredo LF, Kaleta C.

Biochem Soc Trans. 2010 Oct;38(5):1202-5. doi: 10.1042/BST0381202.

PMID:
20863284
15.

Prediction of metabolic fluxes by incorporating genomic context and flux-converging pattern analyses.

Park JM, Kim TY, Lee SY.

Proc Natl Acad Sci U S A. 2010 Aug 17;107(33):14931-6. doi: 10.1073/pnas.1003740107. Epub 2010 Aug 2.

16.

Analysis of the differences in metabolic network expansion between prokaryotes and eukaryotes.

Tanaka M, Yamada T, Itoh M, Okuda S, Goto S, Kanehisa M.

Genome Inform. 2006;17(1):230-9.

PMID:
17503372
17.

Characterizing Escherichia coli DH5alpha growth and metabolism in a complex medium using genome-scale flux analysis.

Selvarasu S, Ow DS, Lee SY, Lee MM, Oh SK, Karimi IA, Lee DY.

Biotechnol Bioeng. 2009 Feb 15;102(3):923-34. doi: 10.1002/bit.22119.

PMID:
18853410
18.

A hybrid model of anaerobic E. coli GJT001: combination of elementary flux modes and cybernetic variables.

Kim JI, Varner JD, Ramkrishna D.

Biotechnol Prog. 2008 Sep-Oct;24(5):993-1006. doi: 10.1002/btpr.73.

PMID:
19194908
19.

Global organization of metabolic fluxes in the bacterium Escherichia coli.

Almaas E, Kovács B, Vicsek T, Oltvai ZN, Barabási AL.

Nature. 2004 Feb 26;427(6977):839-43.

PMID:
14985762
20.

Genome-scale metabolic flux analysis of Streptomyces lividans growing on a complex medium.

D'Huys PJ, Lule I, Vercammen D, Anné J, Van Impe JF, Bernaerts K.

J Biotechnol. 2012 Sep 15;161(1):1-13. doi: 10.1016/j.jbiotec.2012.04.010. Epub 2012 May 26.

PMID:
22641041
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