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 *

116 related articles for article (PubMed ID: 26384553)

  • 1. Using dynamic sensitivities to characterize metabolic reaction systems.
    Sriyudthsak K; Uno H; Gunawan R; Shiraishi F
    Math Biosci; 2015 Nov; 269():153-63. PubMed ID: 26384553
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of bottleneck enzymes with negative dynamic sensitivities: ethanol fermentation systems as case studies.
    Sriyudthsak K; Shiraishi F
    J Biotechnol; 2010 Sep; 149(3):191-200. PubMed ID: 20132844
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Canonical sensitivities: a useful tool to deal with large perturbations in metabolic network modeling.
    Guebel DV
    In Silico Biol; 2004; 4(2):163-82. PubMed ID: 15107021
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An efficient method for calculation of dynamic logarithmic gains in biochemical systems theory.
    Shiraishi F; Hatoh Y; Irie T
    J Theor Biol; 2005 May; 234(1):79-85. PubMed ID: 15721037
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Investigation of kinetic-order sensitivities in metabolic reaction networks.
    Yamada M; Iwanaga M; Sriyudthsak K; Hirai MY; Shiraishi F
    J Theor Biol; 2017 Feb; 415():32-40. PubMed ID: 27939412
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Highly accurate computation of dynamic sensitivities in metabolic reaction systems by a Taylor series method.
    Shiraishi F; Egashira M; Iwata M
    Math Biosci; 2011 Sep; 233(1):59-67. PubMed ID: 21723302
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evaluation of an S-system root-finding method for estimating parameters in a metabolic reaction model.
    Iwata M; Miyawaki-Kuwakado A; Yoshida E; Komori S; Shiraishi F
    Math Biosci; 2018 Jul; 301():21-31. PubMed ID: 29410225
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Time-dependent sensitivity analysis of biological networks: coupled MAPK and PI3K signal transduction pathways.
    Hu D; Yuan JM
    J Phys Chem A; 2006 Apr; 110(16):5361-70. PubMed ID: 16623463
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Dynamic optimization of metabolic networks coupled with gene expression.
    Waldherr S; Oyarzún DA; Bockmayr A
    J Theor Biol; 2015 Jan; 365():469-85. PubMed ID: 25451533
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dynamic sensitivity analysis of biological systems.
    Wu WH; Wang FS; Chang MS
    BMC Bioinformatics; 2008 Dec; 9 Suppl 12(Suppl 12):S17. PubMed ID: 19091016
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Sequential activation of metabolic pathways: a dynamic optimization approach.
    Oyarzún DA; Ingalls BP; Middleton RH; Kalamatianos D
    Bull Math Biol; 2009 Nov; 71(8):1851-72. PubMed ID: 19412635
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A reliable Taylor series-based computational method for the calculation of dynamic sensitivities in large-scale metabolic reaction systems: algorithm and software evaluation.
    Shiraishi F; Tomita T; Iwata M; Berrada AA; Hirayama H
    Math Biosci; 2009 Dec; 222(2):73-85. PubMed ID: 19747493
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Principal transcriptional regulation and genome-wide system interactions of the Asp-family and aromatic amino acid networks of amino acid metabolism in plants.
    Less H; Angelovici R; Tzin V; Galili G
    Amino Acids; 2010 Oct; 39(4):1023-8. PubMed ID: 20364431
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sensitivity summation theorems for stochastic biochemical reaction systems.
    Kim KH; Sauro HM
    Math Biosci; 2010 Aug; 226(2):109-19. PubMed ID: 20447412
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Computation and analysis of time-dependent sensitivities in Generalized Mass Action systems.
    Schwacke JH; Voit EO
    J Theor Biol; 2005 Sep; 236(1):21-38. PubMed ID: 15967181
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An Efficient and Very Accurate Method for Calculating Steady-State Sensitivities in Metabolic Reaction Systems.
    Shiraishi F; Yoshida E; Voit EO
    IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(6):1077-86. PubMed ID: 26357045
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Calculation errors of time-varying flux control coefficients obtained from elasticity coefficients by means of summation and connectivity theorems in metabolic control analysis.
    Shiraishi F; Sriyudthsak K; Suzuki Y
    Math Biosci; 2010 Feb; 223(2):105-14. PubMed ID: 19932125
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Computational Approach to Steady State Correspondence of Regular and Generalized Mass Action Systems.
    Johnston MD
    Bull Math Biol; 2015 Jun; 77(6):1065-100. PubMed ID: 25895700
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of small scale biochemical networks based on general type system perturbations.
    Schmidt H; Cho KH; Jacobsen EW
    FEBS J; 2005 May; 272(9):2141-51. PubMed ID: 15853799
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.