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 *

498 related articles for article (PubMed ID: 12432395)

  • 1. 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]  

  • 2. Description and interpretation of adaptive evolution of Escherichia coli K-12 MG1655 by using a genome-scale in silico metabolic model.
    Fong SS; Marciniak JY; Palsson BØ
    J Bacteriol; 2003 Nov; 185(21):6400-8. PubMed ID: 14563875
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. In silico design and adaptive evolution of Escherichia coli for production of lactic acid.
    Fong SS; Burgard AP; Herring CD; Knight EM; Blattner FR; Maranas CD; Palsson BO
    Biotechnol Bioeng; 2005 Sep; 91(5):643-8. PubMed ID: 15962337
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. In silico deletion of PtsG gene in Escherichia coli genome-scale model predicts increased succinate production from glycerol.
    Mienda BS; Shamsir MS
    J Biomol Struct Dyn; 2015; 33(11):2380-9. PubMed ID: 25921851
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Model-assisted formate dehydrogenase-O (fdoH) gene knockout for enhanced succinate production in Escherichia coli from glucose and glycerol carbon sources.
    Mienda BS; Shamsir MS; Md Illias R
    J Biomol Struct Dyn; 2016 Nov; 34(11):2305-16. PubMed ID: 26510527
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Exploring the effects of carbon sources on the metabolic capacity for shikimic acid production in Escherichia coli using in silico metabolic predictions.
    Ahn JO; Lee HW; Saha R; Park MS; Jung JK; Lee DY
    J Microbiol Biotechnol; 2008 Nov; 18(11):1773-84. PubMed ID: 19047820
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Genome-derived minimal metabolic models for Escherichia coli MG1655 with estimated in vivo respiratory ATP stoichiometry.
    Taymaz-Nikerel H; Borujeni AE; Verheijen PJ; Heijnen JJ; van Gulik WM
    Biotechnol Bioeng; 2010 Oct; 107(2):369-81. PubMed ID: 20506321
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models.
    Lewis NE; Hixson KK; Conrad TM; Lerman JA; Charusanti P; Polpitiya AD; Adkins JN; Schramm G; Purvine SO; Lopez-Ferrer D; Weitz KK; Eils R; König R; Smith RD; Palsson BØ
    Mol Syst Biol; 2010 Jul; 6():390. PubMed ID: 20664636
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Laboratory Evolution to Alternating Substrate Environments Yields Distinct Phenotypic and Genetic Adaptive Strategies.
    Sandberg TE; Lloyd CJ; Palsson BO; Feist AM
    Appl Environ Microbiol; 2017 Jul; 83(13):. PubMed ID: 28455337
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Adaptive laboratory evolution of
    Du B; Olson CA; Sastry AV; Fang X; Phaneuf PV; Chen K; Wu M; Szubin R; Xu S; Gao Y; Hefner Y; Feist AM; Palsson BO
    Microbiology (Reading); 2020 Feb; 166(2):141-148. PubMed ID: 31625833
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Systems approach to refining genome annotation.
    Reed JL; Patel TR; Chen KH; Joyce AR; Applebee MK; Herring CD; Bui OT; Knight EM; Fong SS; Palsson BO
    Proc Natl Acad Sci U S A; 2006 Nov; 103(46):17480-4. PubMed ID: 17088549
    [TBL] [Abstract][Full Text] [Related]  

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

  • 18. Flux analysis and control of the central metabolic pathways in Escherichia coli.
    Holms H
    FEMS Microbiol Rev; 1996 Dec; 19(2):85-116. PubMed ID: 8988566
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Metabolic characterization of Escherichia coli strains adapted to growth on lactate.
    Hua Q; Joyce AR; Palsson BØ; Fong SS
    Appl Environ Microbiol; 2007 Jul; 73(14):4639-47. PubMed ID: 17513588
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Global transcriptional programs reveal a carbon source foraging strategy by Escherichia coli.
    Liu M; Durfee T; Cabrera JE; Zhao K; Jin DJ; Blattner FR
    J Biol Chem; 2005 Apr; 280(16):15921-7. PubMed ID: 15705577
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 25.