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Volumn 76, Issue 6, 2014, Pages 1333-1351

PENDISC: A Simple Method for Constructing a Mathematical Model from Time-Series Data of Metabolite Concentrations

Author keywords

Biochemical Systems Theory; Mathematical modeling; Metabolomics; Non linear least squared regression; Parameter estimation

Indexed keywords

ARABIDOPSIS THALIANA;

EID: 84901985510     PISSN: 00928240     EISSN: 15229602     Source Type: Journal    
DOI: 10.1007/s11538-014-9960-8     Document Type: Article
Times cited : (8)

References (17)
  • 1
    • 33749340654 scopus 로고    scopus 로고
    • Parameter estimation in biochemical systems models with alternating regression
    • Chou I-C (2006) Parameter estimation in biochemical systems models with alternating regression. Theor Biol Med Model 3: 1-11.
    • (2006) Theor Biol Med Model , vol.3 , pp. 1-11
    • Chou, I.-C.1
  • 3
    • 0036007687 scopus 로고    scopus 로고
    • Metabolomics-the link between genotypes and phenotypes
    • Fiehn O (2002) Metabolomics-the link between genotypes and phenotypes. Plant Mol Biol 48: 155-171.
    • (2002) Plant Mol Biol , vol.48 , pp. 155-171
    • Fiehn, O.1
  • 4
    • 84902000711 scopus 로고    scopus 로고
    • Coarse but efficient identification of metabolic pathway system
    • Iwata M, Shiraishi F, Voit EO (2013) Coarse but efficient identification of metabolic pathway system. Int J Syst Biol 4: 57-72.
    • (2013) Int J Syst Biol , vol.4 , pp. 57-72
    • Iwata, M.1    Shiraishi, F.2    Voit, E.O.3
  • 5
    • 79960127196 scopus 로고    scopus 로고
    • Parameter estimation of kinetic models from metabolic profiles: two-phase dynamic decoupling method
    • Jia G, Stephanopoulos GN, Gunawan R (2011) Parameter estimation of kinetic models from metabolic profiles: two-phase dynamic decoupling method. Bioinformatics 27: 1964-1970.
    • (2011) Bioinformatics , vol.27 , pp. 1964-1970
    • Jia, G.1    Stephanopoulos, G.N.2    Gunawan, R.3
  • 6
    • 34249732527 scopus 로고    scopus 로고
    • S-system parameter estimation for noisy metabolic profiles using newton-flow analysis
    • Kutalik Z, Tucker W, Moulton V (2007) S-system parameter estimation for noisy metabolic profiles using newton-flow analysis. IET Syst Biol 1: 174-180.
    • (2007) IET Syst Biol , vol.1 , pp. 174-180
    • Kutalik, Z.1    Tucker, W.2    Moulton, V.3
  • 8
    • 0014649230 scopus 로고
    • Biochemical systems analysis I: some mathematical properties of the rate law for the component enzymatic reactions
    • Savageau MA (1969a) Biochemical systems analysis I: some mathematical properties of the rate law for the component enzymatic reactions. J Theor Biol 25: 365-369.
    • (1969) J Theor Biol , vol.25 , pp. 365-369
    • Savageau, M.A.1
  • 9
    • 0014658880 scopus 로고
    • Biochemical systems analysis II: the steady-state solutions for an n-pool systems using a power-law approximation
    • Savageau MA (1969b) Biochemical systems analysis II: the steady-state solutions for an n-pool systems using a power-law approximation. J Theor Biol 25: 370-379.
    • (1969) J Theor Biol , vol.25 , pp. 370-379
    • Savageau, M.A.1
  • 10
    • 0014733809 scopus 로고
    • Biochemical systems analysis III: dynamic solutions using a power-law approximation
    • Savageau MA (1970) Biochemical systems analysis III: dynamic solutions using a power-law approximation. J Theor Biol 26: 215-226.
    • (1970) J Theor Biol , vol.26 , pp. 215-226
    • Savageau, M.A.1
  • 11
    • 58449134032 scopus 로고    scopus 로고
    • Widely targeted metabolomics based on large-scale MS/MS data for elucidating metabolite accumulation patterns in plants
    • Sawada Y, Akiyama K, Sakata A, Kuwahara A, Otsuki H, Sakurai T, Saito K, Hirai MY (2009) Widely targeted metabolomics based on large-scale MS/MS data for elucidating metabolite accumulation patterns in plants. Plant Cell Physiol 50: 37-47.
    • (2009) Plant Cell Physiol , vol.50 , pp. 37-47
    • Sawada, Y.1    Akiyama, K.2    Sakata, A.3    Kuwahara, A.4    Otsuki, H.5    Sakurai, T.6    Saito, K.7    Hirai, M.Y.8
  • 12
    • 0026470976 scopus 로고
    • The tricarboxylic acid cycle in dictyostelium discoideum. III. Analysis of steady state and dynamic behavior
    • Shiraishi F, Savageau MA (1992) The tricarboxylic acid cycle in dictyostelium discoideum. III. Analysis of steady state and dynamic behavior. J Biol Chem 267: 22926-22933.
    • (1992) J Biol Chem , vol.267 , pp. 22926-22933
    • Shiraishi, F.1    Savageau, M.A.2
  • 13
    • 34547122015 scopus 로고    scopus 로고
    • A simple and highly accurate numerical differentiation method for sensitivity analysis of large-scale metabolic reaction systems
    • Shiraishi F, Furuta S, Ishimatsu T, Akhter J (2007) A simple and highly accurate numerical differentiation method for sensitivity analysis of large-scale metabolic reaction systems. Math Biosci 208: 590-606.
    • (2007) Math Biosci , vol.208 , pp. 590-606
    • Shiraishi, F.1    Furuta, S.2    Ishimatsu, T.3    Akhter, J.4
  • 15
    • 84883050022 scopus 로고    scopus 로고
    • Biochemical systems theory: a review
    • Voit EO (2013) Biochemical systems theory: a review. ISRN Biomath 2013: 1-53.
    • (2013) ISRN Biomath , vol.2013 , pp. 1-53
    • Voit, E.O.1
  • 16
    • 4444351989 scopus 로고    scopus 로고
    • Decoupling dynamical systems for pathway identification from metabolic profiles
    • Voit EO, Almeida J (2004) Decoupling dynamical systems for pathway identification from metabolic profiles. Bioinformatics 20: 1670-1681.
    • (2004) Bioinformatics , vol.20 , pp. 1670-1681
    • Voit, E.O.1    Almeida, J.2
  • 17
    • 0142040405 scopus 로고    scopus 로고
    • Metabolomics in systems biology
    • Weckwerth W (2003) Metabolomics in systems biology. Annu Rev Plant Biol 54: 669-689.
    • (2003) Annu Rev Plant Biol , vol.54 , pp. 669-689
    • Weckwerth, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.