These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

119 related articles for article (PubMed ID: 15044828)

  • 1. Quantitative analysis of Escherichia coli metabolic phenotypes within the context of phenotypic phase planes.
    Ibarra RU; Fu P; Palsson BO; DiTonno JR; Edwards JS
    J Mol Microbiol Biotechnol; 2003; 6(2):101-8. PubMed ID: 15044828
    [TBL] [Abstract][Full Text] [Related]  

  • 2. In silico metabolic pathway analysis and design: succinic acid production by metabolically engineered Escherichia coli as an example.
    Lee SY; Hong SH; Moon SY
    Genome Inform; 2002; 13():214-23. PubMed ID: 14571390
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Elementary mode analysis for the rational design of efficient succinate conversion from glycerol by Escherichia coli.
    Chen Z; Liu H; Zhang J; Liu D
    J Biomed Biotechnol; 2010; 2010():518743. PubMed ID: 20886007
    [TBL] [Abstract][Full Text] [Related]  

  • 4. In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data.
    Edwards JS; Ibarra RU; Palsson BO
    Nat Biotechnol; 2001 Feb; 19(2):125-30. PubMed ID: 11175725
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Succinate production in dual-phase Escherichia coli fermentations depends on the time of transition from aerobic to anaerobic conditions.
    Vemuri GN; Eiteman MA; Altman E
    J Ind Microbiol Biotechnol; 2002 Jun; 28(6):325-32. PubMed ID: 12032805
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A novel whole-phase succinate fermentation strategy with high volumetric productivity in engineered Escherichia coli.
    Li Y; Li M; Zhang X; Yang P; Liang Q; Qi Q
    Bioresour Technol; 2013 Dec; 149():333-40. PubMed ID: 24125798
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Stoichiometric flux balance models quantitatively predict growth and metabolic by-product secretion in wild-type Escherichia coli W3110.
    Varma A; Palsson BO
    Appl Environ Microbiol; 1994 Oct; 60(10):3724-31. PubMed ID: 7986045
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Succinic acid production with Escherichia coli AFP111 recovered from fermentation].
    Wu M; Liu R; Liang L; Ma J; Chen K; Jiang M
    Sheng Wu Gong Cheng Xue Bao; 2013 Dec; 29(12):1875-9. PubMed ID: 24660637
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrating high-throughput and computational data elucidates bacterial networks.
    Covert MW; Knight EM; Reed JL; Herrgard MJ; Palsson BO
    Nature; 2004 May; 429(6987):92-6. PubMed ID: 15129285
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Genome-scale in silico aided metabolic analysis and flux comparisons of Escherichia coli to improve succinate production.
    Wang Q; Chen X; Yang Y; Zhao X
    Appl Microbiol Biotechnol; 2006 Dec; 73(4):887-94. PubMed ID: 16927085
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Effect of culture operating conditions on succinate production in a multiphase fed-batch bioreactor using an engineered Escherichia coli strain.
    Zhu J; Thakker C; San KY; Bennett G
    Appl Microbiol Biotechnol; 2011 Nov; 92(3):499-508. PubMed ID: 21667087
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Metabolic engineering of Escherichia coli and in silico comparing of carboxylation pathways for high succinate productivity under aerobic conditions.
    Yang J; Wang Z; Zhu N; Wang B; Chen T; Zhao X
    Microbiol Res; 2014; 169(5-6):432-40. PubMed ID: 24103861
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Characterizing the metabolic phenotype: a phenotype phase plane analysis.
    Edwards JS; Ramakrishna R; Palsson BO
    Biotechnol Bioeng; 2002 Jan; 77(1):27-36. PubMed ID: 11745171
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Genome-scale metabolic modelling when changes in environmental conditions affect biomass composition.
    Schulz C; Kumelj T; Karlsen E; Almaas E
    PLoS Comput Biol; 2021 May; 17(5):e1008528. PubMed ID: 34029317
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth.
    Ibarra RU; Edwards JS; Palsson BO
    Nature; 2002 Nov; 420(6912):186-9. PubMed ID: 12432395
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Genome-scale in silico models of E. coli have multiple equivalent phenotypic states: assessment of correlated reaction subsets that comprise network states.
    Reed JL; Palsson BØ
    Genome Res; 2004 Sep; 14(9):1797-805. PubMed ID: 15342562
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evolutionary programming as a platform for in silico metabolic engineering.
    Patil KR; Rocha I; Förster J; Nielsen J
    BMC Bioinformatics; 2005 Dec; 6():308. PubMed ID: 16375763
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Metabolic engineering of Escherichia coli for enhanced production of succinic acid, based on genome comparison and in silico gene knockout simulation.
    Lee SJ; Lee DY; Kim TY; Kim BH; Lee J; Lee SY
    Appl Environ Microbiol; 2005 Dec; 71(12):7880-7. PubMed ID: 16332763
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Systematic analysis of conservation relations in Escherichia coli genome-scale metabolic network reveals novel growth media.
    Imielinski M; Belta C; Rubin H; Halász A
    Biophys J; 2006 Apr; 90(8):2659-72. PubMed ID: 16461408
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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; 102(3):923-34. PubMed ID: 18853410
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.