BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

335 related articles for article (PubMed ID: 24009492)

  • 1. Flux imbalance analysis and the sensitivity of cellular growth to changes in metabolite pools.
    Reznik E; Mehta P; Segrè D
    PLoS Comput Biol; 2013; 9(8):e1003195. PubMed ID: 24009492
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Enhanced flux prediction by integrating relative expression and relative metabolite abundance into thermodynamically consistent metabolic models.
    Pandey V; Hadadi N; Hatzimanikatis V
    PLoS Comput Biol; 2019 May; 15(5):e1007036. PubMed ID: 31083653
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Including metabolite concentrations into flux balance analysis: thermodynamic realizability as a constraint on flux distributions in metabolic networks.
    Hoppe A; Hoffmann S; Holzhütter HG
    BMC Syst Biol; 2007 Jun; 1():23. PubMed ID: 17543097
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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; 107(33):14931-6. PubMed ID: 20679215
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-objective shadow prices point at principles of metabolic regulation.
    Sajitz-Hermstein M; Nikoloski Z
    Biosystems; 2016 Aug; 146():91-101. PubMed ID: 27312384
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Robust Analysis of Fluxes in Genome-Scale Metabolic Pathways.
    MacGillivray M; Ko A; Gruber E; Sawyer M; Almaas E; Holder A
    Sci Rep; 2017 Mar; 7(1):268. PubMed ID: 28325918
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Connecting extracellular metabolomic measurements to intracellular flux states in yeast.
    Mo ML; Palsson BO; Herrgård MJ
    BMC Syst Biol; 2009 Mar; 3():37. PubMed ID: 19321003
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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; 24(5):993-1006. PubMed ID: 19194908
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A metabolite-centric view on flux distributions in genome-scale metabolic models.
    Riemer SA; Rex R; Schomburg D
    BMC Syst Biol; 2013 Apr; 7():33. PubMed ID: 23587327
    [TBL] [Abstract][Full Text] [Related]  

  • 10. ICON-GEMs: integration of co-expression network in genome-scale metabolic models, shedding light through systems biology.
    Paklao T; Suratanee A; Plaimas K
    BMC Bioinformatics; 2023 Dec; 24(1):492. PubMed ID: 38129786
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Method to Constrain Genome-Scale Models with 13C Labeling Data.
    Martín HG; Kumar VS; Weaver D; Ghosh A; Chubukov V; Mukhopadhyay A; Arkin A; Keasling JD
    PLoS Comput Biol; 2015 Sep; 11(9):e1004363. PubMed ID: 26379153
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Estimating Metabolic Fluxes Using a Maximum Network Flexibility Paradigm.
    Megchelenbrink W; Rossell S; Huynen MA; Notebaart RA; Marchiori E
    PLoS One; 2015; 10(10):e0139665. PubMed ID: 26457579
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Finding elementary flux modes in metabolic networks based on flux balance analysis and flux coupling analysis: application to the analysis of Escherichia coli metabolism.
    Tabe-Bordbar S; Marashi SA
    Biotechnol Lett; 2013 Dec; 35(12):2039-44. PubMed ID: 24078125
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Optimal flux spaces of genome-scale stoichiometric models are determined by a few subnetworks.
    Kelk SM; Olivier BG; Stougie L; Bruggeman FJ
    Sci Rep; 2012; 2():580. PubMed ID: 22896812
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MetDFBA: incorporating time-resolved metabolomics measurements into dynamic flux balance analysis.
    Willemsen AM; Hendrickx DM; Hoefsloot HC; Hendriks MM; Wahl SA; Teusink B; Smilde AK; van Kampen AH
    Mol Biosyst; 2015 Jan; 11(1):137-45. PubMed ID: 25315283
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Estimating the size of the solution space of metabolic networks.
    Braunstein A; Mulet R; Pagnani A
    BMC Bioinformatics; 2008 May; 9():240. PubMed ID: 18489757
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MapMaker and PathTracer for tracking carbon in genome-scale metabolic models.
    Tervo CJ; Reed JL
    Biotechnol J; 2016 May; 11(5):648-61. PubMed ID: 26771089
    [TBL] [Abstract][Full Text] [Related]  

  • 18. NetRed, an algorithm to reduce genome-scale metabolic networks and facilitate the analysis of flux predictions.
    Lugar DJ; Mack SG; Sriram G
    Metab Eng; 2021 May; 65():207-222. PubMed ID: 33161143
    [TBL] [Abstract][Full Text] [Related]  

  • 19. From Escherichia coli mutant 13C labeling data to a core kinetic model: A kinetic model parameterization pipeline.
    Foster CJ; Gopalakrishnan S; Antoniewicz MR; Maranas CD
    PLoS Comput Biol; 2019 Sep; 15(9):e1007319. PubMed ID: 31504032
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Differential producibility analysis (DPA) of transcriptomic data with metabolic networks: deconstructing the metabolic response of M. tuberculosis.
    Bonde BK; Beste DJ; Laing E; Kierzek AM; McFadden J
    PLoS Comput Biol; 2011 Jun; 7(6):e1002060. PubMed ID: 21738454
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.