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Volumn 2010, Issue , 2010, Pages

Mathematical modeling: Bridging the gap between concept and realization in synthetic biology

Author keywords

[No Author keywords available]

Indexed keywords

BIOENGINEERING; COMPUTER PROGRAM; GENETIC TRANSCRIPTION; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; METABOLISM; PROCESS OPTIMIZATION; REVIEW; SENSITIVITY ANALYSIS; STOCHASTIC MODEL; TRANSCRIPTION REGULATION; BIOLOGICAL MODEL; SIGNAL TRANSDUCTION; STATISTICAL MODEL; SYSTEMS BIOLOGY;

EID: 77953508699     PISSN: 11107243     EISSN: 11107251     Source Type: Journal    
DOI: 10.1155/2010/541609     Document Type: Review
Times cited : (39)

References (90)
  • 2
    • 33751013018 scopus 로고    scopus 로고
    • Synthetic biologyputting engineering into biology
    • Heinemann M., Panke S., Synthetic biologyputting engineering into biology Bioinformatics 2006 22 22 2790 2799
    • (2006) Bioinformatics , vol.22 , Issue.22 , pp. 2790-2799
    • Heinemann, M.1    Panke, S.2
  • 5
    • 28544451327 scopus 로고    scopus 로고
    • Foundations for engineering biology
    • Endy D., Foundations for engineering biology Nature 2005 438 7067 449 453
    • (2005) Nature , vol.438 , Issue.7067 , pp. 449-453
    • Endy, D.1
  • 8
    • 32844455250 scopus 로고    scopus 로고
    • A bottom-up approach to gene regulation
    • Guido N. J., Wang X., Adalsteinsson D., A bottom-up approach to gene regulation Nature 2006 439 7078 856 860
    • (2006) Nature , vol.439 , Issue.7078 , pp. 856-860
    • Guido, N.J.1    Wang, X.2    Adalsteinsson, D.3
  • 10
    • 38149049951 scopus 로고    scopus 로고
    • Models for synthetic biology
    • Kaznessis Y. N., Models for synthetic biology BMC Systems Biology 2007 1, article 47
    • (2007) BMC Systems Biology , vol.147
    • Kaznessis, Y.N.1
  • 11
    • 27144517984 scopus 로고    scopus 로고
    • Systems biology: Interlinked fast and slow positive feedback loops drive reliable cell decisions
    • Brandman O., Ferrell J. E. Jr., Li R., Meyer T., Systems biology: interlinked fast and slow positive feedback loops drive reliable cell decisions Science 2005 310 5747 496 498
    • (2005) Science , vol.310 , Issue.5747 , pp. 496-498
    • Brandman, O.1    Ferrell, J.E.Jr.2    Li, R.3    Meyer, T.4
  • 12
    • 23644437498 scopus 로고    scopus 로고
    • Formation of regulatory patterns during signal propagation in a mammalian cellular network
    • Ma'ayan A., Jenkins S. L., Neves S., Formation of regulatory patterns during signal propagation in a mammalian cellular network Science 2005 309 5737 1078 1083
    • (2005) Science , vol.309 , Issue.5737 , pp. 1078-1083
    • Ma'Ayan, A.1    Jenkins, S.L.2    Neves, S.3
  • 13
    • 33845874376 scopus 로고    scopus 로고
    • Compartmentation in plant metabolism
    • Lunn J. E., Compartmentation in plant metabolism Journal of Experimental Botany 2007 58 1 35 47
    • (2007) Journal of Experimental Botany , vol.58 , Issue.1 , pp. 35-47
    • Lunn, J.E.1
  • 15
    • 0024104856 scopus 로고
    • A discretized population balance for nucleation, growth, and aggregation
    • Hounslow M. J., Ryall R. L., Marshall V. R., A discretized population balance for nucleation, growth, and aggregation AIChE Journal 1988 34 11 1821 1832
    • (1988) AIChE Journal , vol.34 , Issue.11 , pp. 1821-1832
    • Hounslow, M.J.1    Ryall, R.L.2    Marshall, V.R.3
  • 16
    • 65549162694 scopus 로고    scopus 로고
    • Insights into the organization of biochemical regulatory networks using graph theory analyses
    • Ma'ayan A., Insights into the organization of biochemical regulatory networks using graph theory analyses Journal of Biological Chemistry 2009 284 9 5451 5455
    • (2009) Journal of Biological Chemistry , vol.284 , Issue.9 , pp. 5451-5455
    • Ma'Ayan, A.1
  • 18
    • 0036532226 scopus 로고    scopus 로고
    • Self-perpetuating states in signal transduction: Positive feedback, double-negative feedback and bistability
    • Ferrell J. E. Jr., Self-perpetuating states in signal transduction: positive feedback, double-negative feedback and bistability Current Opinion in Cell Biology 2002 14 2 140 148
    • (2002) Current Opinion in Cell Biology , vol.14 , Issue.2 , pp. 140-148
    • Ferrell, J.E.Jr.1
  • 19
    • 0033555859 scopus 로고    scopus 로고
    • Emergent properties of networks of biological signaling pathways
    • Bhalla U. S., Iyengar R., Emergent properties of networks of biological signaling pathways Science 1999 283 5400 381 387
    • (1999) Science , vol.283 , Issue.5400 , pp. 381-387
    • Bhalla, U.S.1    Iyengar, R.2
  • 20
    • 0034212551 scopus 로고    scopus 로고
    • Engineering stability in gene networks by autoregulation
    • Becskei A., Serrano L., Engineering stability in gene networks by autoregulation Nature 2000 405 6786 590 593
    • (2000) Nature , vol.405 , Issue.6786 , pp. 590-593
    • Becskei, A.1    Serrano, L.2
  • 22
    • 0034688173 scopus 로고    scopus 로고
    • A synthetic oscillatory network of transcriptional regulators
    • Elowitz M. B., Leibier S., A synthetic oscillatory network of transcriptional regulators Nature 2000 403 6767 335 338
    • (2000) Nature , vol.403 , Issue.6767 , pp. 335-338
    • Elowitz, M.B.1    Leibier, S.2
  • 25
    • 33645463036 scopus 로고    scopus 로고
    • An equation-free probabilistic steady-state approximation: Dynamic application to the stochastic simulation of biochemical reaction networks
    • Salis H., Kaznessis Y. N., An equation-free probabilistic steady-state approximation: dynamic application to the stochastic simulation of biochemical reaction networks Journal of Chemical Physics 2005 123 21 16
    • (2005) Journal of Chemical Physics , vol.123 , Issue.21 , pp. 16
    • Salis, H.1    Kaznessis, Y.N.2
  • 26
    • 22944451159 scopus 로고    scopus 로고
    • Accurate hybrid stochastic simulation of a system of coupled chemical or biochemical reactions
    • Salis H., Kaznessis Y., Accurate hybrid stochastic simulation of a system of coupled chemical or biochemical reactions Journal of Chemical Physics 2005 122 5 13
    • (2005) Journal of Chemical Physics , vol.122 , Issue.5 , pp. 13
    • Salis, H.1    Kaznessis, Y.2
  • 28
    • 22144458274 scopus 로고    scopus 로고
    • Markov chain modeling of pyelonephritis-associated pili expression in uropathogenic Escherichia coli
    • Zhou B., Beckwith D., Jarboe L. R., Liao J. C., Markov chain modeling of pyelonephritis-associated pili expression in uropathogenic Escherichia coli Biophysical Journal 2005 88 4 2541 2553
    • (2005) Biophysical Journal , vol.88 , Issue.4 , pp. 2541-2553
    • Zhou, B.1    Beckwith, D.2    Jarboe, L.R.3    Liao, J.C.4
  • 29
    • 7044229261 scopus 로고    scopus 로고
    • Stochastic modeling of the phase-variable pap operon regulation in uropathogenic Escherichia coli
    • Jarboe L. R., Beckwith D., Liao J. C., Stochastic modeling of the phase-variable pap operon regulation in uropathogenic Escherichia coli Biotechnology and Bioengineering 2004 88 2 189 203
    • (2004) Biotechnology and Bioengineering , vol.88 , Issue.2 , pp. 189-203
    • Jarboe, L.R.1    Beckwith, D.2    Liao, J.C.3
  • 30
    • 17044395470 scopus 로고    scopus 로고
    • Reverse engineering of biochemical equations from time-course data by means of genetic programming
    • Sugimoto M., Kikuchi S., Tomita M., Reverse engineering of biochemical equations from time-course data by means of genetic programming BioSystems 2005 80 2 155 164
    • (2005) BioSystems , vol.80 , Issue.2 , pp. 155-164
    • Sugimoto, M.1    Kikuchi, S.2    Tomita, M.3
  • 31
    • 58749106454 scopus 로고    scopus 로고
    • Ensemble modeling of metabolic networks
    • Tran L. M., Rizk M. L., Liao J. C., Ensemble modeling of metabolic networks Biophysical Journal 2008 95 12 5606 5617
    • (2008) Biophysical Journal , vol.95 , Issue.12 , pp. 5606-5617
    • Tran, L.M.1    Rizk, M.L.2    Liao, J.C.3
  • 33
    • 32044474451 scopus 로고    scopus 로고
    • A hybrid approach for efficient and robust parameter estimation in biochemical pathways
    • Rodriguez-Fernandez M., Mendes P., Banga J. R., A hybrid approach for efficient and robust parameter estimation in biochemical pathways BioSystems 2006 83 2-3 248 265
    • (2006) BioSystems , vol.83 , Issue.23 , pp. 248-265
    • Rodriguez-Fernandez, M.1    Mendes, P.2    Banga, J.R.3
  • 36
    • 0026864325 scopus 로고
    • Parameter estimation from multiresponse data
    • Stewart W. E., Caracotsios M., Srensen J. P., Parameter estimation from multiresponse data AIChE Journal 1992 38 5 641 650
    • (1992) AIChE Journal , vol.38 , Issue.5 , pp. 641-650
    • Stewart, W.E.1    Caracotsios, M.2    Srensen, J.P.3
  • 37
    • 33646377419 scopus 로고    scopus 로고
    • Qualitative simulation of the carbon starvation response in Escherichia coli
    • Ropers D., de Jong H., Page M., Schneider D., Geiselmann J., Qualitative simulation of the carbon starvation response in Escherichia coli BioSystems 2006 84 2 124 152
    • (2006) BioSystems , vol.84 , Issue.2 , pp. 124-152
    • Ropers, D.1    De Jong, H.2    Page, M.3    Schneider, D.4    Geiselmann, J.5
  • 39
    • 20344389483 scopus 로고    scopus 로고
    • Models of stochastic gene expression
    • Paulsson J., Models of stochastic gene expression Physics of Life Reviews 2005 2 2 157 175
    • (2005) Physics of Life Reviews , vol.2 , Issue.2 , pp. 157-175
    • Paulsson, J.1
  • 40
    • 0037119587 scopus 로고    scopus 로고
    • Stochastic gene expression in a single cell
    • Elowitz M. B., Levine A. J., Siggia E. D., Swain P. S., Stochastic gene expression in a single cell Science 2002 297 5584 1183 1186
    • (2002) Science , vol.297 , Issue.5584 , pp. 1183-1186
    • Elowitz, M.B.1    Levine, A.J.2    Siggia, E.D.3    Swain, P.S.4
  • 44
    • 56649100782 scopus 로고    scopus 로고
    • Stochastic dynamics of genetic networks: Modelling and parameter identification
    • Cinquemani E., Milias-Argeitis A., Summers S., Lygeros J., Stochastic dynamics of genetic networks: modelling and parameter identification Bioinformatics 2008 24 23 2748 2754
    • (2008) Bioinformatics , vol.24 , Issue.23 , pp. 2748-2754
    • Cinquemani, E.1    Milias-Argeitis, A.2    Summers, S.3    Lygeros, J.4
  • 45
    • 0032406131 scopus 로고    scopus 로고
    • Non-linear optimization of biochemical pathways: Applications to metabolic engineering and parameter estimation
    • Mendes P., Kell D. B., Non-linear optimization of biochemical pathways: applications to metabolic engineering and parameter estimation Bioinformatics 1998 14 10 869 883
    • (1998) Bioinformatics , vol.14 , Issue.10 , pp. 869-883
    • Mendes, P.1    Kell, D.B.2
  • 46
    • 0242574982 scopus 로고    scopus 로고
    • Parameter estimation in biochemical pathways: A comparison of global optimization methods
    • Moles C. G., Mendes P., Banga J. R., Parameter estimation in biochemical pathways: a comparison of global optimization methods Genome Research 2003 13 11 2467 2474
    • (2003) Genome Research , vol.13 , Issue.11 , pp. 2467-2474
    • Moles, C.G.1    Mendes, P.2    Banga, J.R.3
  • 47
    • 31244433440 scopus 로고    scopus 로고
    • Approximation of the distribution of convergence times for stochastic global optimisation
    • Wood G. R., Alexander D. L. J., Bulger D. W., Approximation of the distribution of convergence times for stochastic global optimisation Journal of Global Optimization 2002 22 14 271 284
    • (2002) Journal of Global Optimization , vol.22 , Issue.14 , pp. 271-284
    • Wood, G.R.1    Alexander, D.L.J.2    Bulger, D.W.3
  • 48
    • 18044400950 scopus 로고    scopus 로고
    • Parallel simulated annealing algorithms in global optimization
    • Onbaolu E., zdamar L., Parallel simulated annealing algorithms in global optimization Journal of Global Optimization 2001 19 1 27 50
    • (2001) Journal of Global Optimization , vol.19 , Issue.1 , pp. 27-50
    • Onbaolu, E.1    Zdamar, L.2
  • 49
    • 34147164139 scopus 로고    scopus 로고
    • Optimal design of dynamic experiments for improved estimation of kinetic parameters of thermal degradation
    • Balsa-Canto E., Rodriguez-Fernandez M., Banga J. R., Optimal design of dynamic experiments for improved estimation of kinetic parameters of thermal degradation Journal of Food Engineering 2007 82 2 178 188
    • (2007) Journal of Food Engineering , vol.82 , Issue.2 , pp. 178-188
    • Balsa-Canto, E.1    Rodriguez-Fernandez, M.2    Banga, J.R.3
  • 51
    • 1342265607 scopus 로고    scopus 로고
    • Experimental design in systems biology, based on parameter sensitivity analysis using a monte carlo method: A case study for the TNF -mediated NF- B signal transduction pathway
    • Cho K.-H., Shin S.-Y., Kolch W., Wolkenhauer O., Experimental design in systems biology, based on parameter sensitivity analysis using a monte carlo method: a case study for the TNF -mediated NF- B signal transduction pathway Simulation 2003 79 12 726 739
    • (2003) Simulation , vol.79 , Issue.12 , pp. 726-739
    • Cho, K.-H.1    Shin, S.-Y.2    Kolch, W.3    Wolkenhauer, O.4
  • 53
    • 38749148516 scopus 로고    scopus 로고
    • Synthetic biology for synthetic chemistry
    • Keasling J. D., Synthetic biology for synthetic chemistry ACS Chemical Biology 2008 3 1 64 76
    • (2008) ACS Chemical Biology , vol.3 , Issue.1 , pp. 64-76
    • Keasling, J.D.1
  • 54
    • 34247584071 scopus 로고    scopus 로고
    • A synthetic biology challenge: Making cells compute
    • Tan C., Song H., Niemi J., You L., A synthetic biology challenge: making cells compute Molecular BioSystems 2007 3 5 343 353
    • (2007) Molecular BioSystems , vol.3 , Issue.5 , pp. 343-353
    • Tan, C.1    Song, H.2    Niemi, J.3    You, L.4
  • 55
    • 33750989365 scopus 로고    scopus 로고
    • Oscillatory dynamics arising from competitive inhibition and multisite phosphorylation
    • Chickarmane V., Kholodenko B. N., Sauro H. M., Oscillatory dynamics arising from competitive inhibition and multisite phosphorylation Journal of Theoretical Biology 2007 244 1 68 76
    • (2007) Journal of Theoretical Biology , vol.244 , Issue.1 , pp. 68-76
    • Chickarmane, V.1    Kholodenko, B.N.2    Sauro, H.M.3
  • 56
    • 0034688174 scopus 로고    scopus 로고
    • Construction of a genetic toggle switch in Escherichia coli
    • Gardner T. S., Cantor C. R., Collins J. J., Construction of a genetic toggle switch in Escherichia coli Nature 2000 403 6767 339 342
    • (2000) Nature , vol.403 , Issue.6767 , pp. 339-342
    • Gardner, T.S.1    Cantor, C.R.2    Collins, J.J.3
  • 58
    • 0037041888 scopus 로고    scopus 로고
    • Synthetic gene network for entraining and amplifying cellular oscillations
    • Hasty J., Dolnik M., Rottschfer V., Collins J. J., Synthetic gene network for entraining and amplifying cellular oscillations Physical Review Letters 2002 88 14 4
    • (2002) Physical Review Letters , vol.88 , Issue.14 , pp. 4
    • Hasty, J.1    Dolnik, M.2    Rottschfer, V.3    Collins, J.J.4
  • 59
    • 70349318190 scopus 로고    scopus 로고
    • Systems biology meets synthetic biology: A case study of the metabolic effects of synthetic rewiring
    • Noirel J., Ow S. Y., Sanguinetti G., Wright P. C., Systems biology meets synthetic biology: a case study of the metabolic effects of synthetic rewiring Molecular BioSystems 2009 5 10 1214 1223
    • (2009) Molecular BioSystems , vol.5 , Issue.10 , pp. 1214-1223
    • Noirel, J.1    Ow, S.Y.2    Sanguinetti, G.3    Wright, P.C.4
  • 60
    • 0030141280 scopus 로고    scopus 로고
    • Analysis and design of metabolic reaction networks via mixed-integer linear optimization
    • Hatzimanikatis V., Floudas C. A., Bailey J. E., Analysis and design of metabolic reaction networks via mixed-integer linear optimization AIChE Journal 1996 42 5 1277 1292
    • (1996) AIChE Journal , vol.42 , Issue.5 , pp. 1277-1292
    • Hatzimanikatis, V.1    Floudas, C.A.2    Bailey, J.E.3
  • 61
    • 12244298643 scopus 로고    scopus 로고
    • Quantification of compartmented metabolic fluxes in developing soybean embryos by employing biosynthetically directed fractional C13 labeling, two-dimensional [ C13, H1 ] nuclear magnetic resonance, and comprehensive isotopomer balancing
    • Sriram G., Fulton D. B., Iyer V. V., Quantification of compartmented metabolic fluxes in developing soybean embryos by employing biosynthetically directed fractional C13 labeling, two-dimensional [ C13, H1 ] nuclear magnetic resonance, and comprehensive isotopomer balancing Plant Physiology 2004 136 2 3043 3057
    • (2004) Plant Physiology , vol.136 , Issue.2 , pp. 3043-3057
    • Sriram, G.1    Fulton, D.B.2    Iyer, V.V.3
  • 62
    • 33744455445 scopus 로고    scopus 로고
    • Experimental design principles for isotopically instationary C13 labeling experiments
    • Nh K., Wiechert W., Experimental design principles for isotopically instationary C13 labeling experiments Biotechnology and Bioengineering 2006 94 2 234 251
    • (2006) Biotechnology and Bioengineering , vol.94 , Issue.2 , pp. 234-251
    • Nh, K.1    Wiechert, W.2
  • 63
    • 33845679072 scopus 로고    scopus 로고
    • Elementary metabolite units (EMU): A novel framework for modeling isotopic distributions
    • Antoniewicz M. R., Kelleher J. K., Stephanopoulos G., Elementary metabolite units (EMU): a novel framework for modeling isotopic distributions Metabolic Engineering 2007 9 1 68 86
    • (2007) Metabolic Engineering , vol.9 , Issue.1 , pp. 68-86
    • Antoniewicz, M.R.1    Kelleher, J.K.2    Stephanopoulos, G.3
  • 64
    • 0343267841 scopus 로고    scopus 로고
    • Bidirectional reaction steps in metabolic networks: III. Explicit solution and analysis of isotopomer labeling systems
    • DOI 10.1002/(SICI)1097-0290(1999)66:2<69::AID-BIT1>3.0.CO;2-6
    • Wiechert W., Mllney M., Isermann N., Wurzel M., De Graaf A. A., Bidirectional reaction steps in metabolic networks: III. Explicit solution and analysis of isotopomer labeling systems Biotechnology and Bioengineering 1999 66 2 69 85 (Pubitemid 32262268)
    • (1999) Biotechnology and Bioengineering , vol.66 , Issue.2 , pp. 69-85
    • Wiechert, W.1    Mollney, M.2    Isermann, N.3    Wurzel, M.4    De Graaf, A.A.5
  • 65
    • 2442498572 scopus 로고    scopus 로고
    • Improvements in metabolic flux analysis using carbon bond labeling experiments: Bondomer balancing and Boolean function mapping
    • Sriram G., Shanks J. V., Improvements in metabolic flux analysis using carbon bond labeling experiments: bondomer balancing and Boolean function mapping Metabolic Engineering 2004 6 2 116 132
    • (2004) Metabolic Engineering , vol.6 , Issue.2 , pp. 116-132
    • Sriram, G.1    Shanks, J.V.2
  • 66
    • 0037203043 scopus 로고    scopus 로고
    • Cumulative bondomers: A new concept in flux analysis from 2D [ C13, H1 ] COSY NMR data
    • van Winden W. A., Heijnen J. J., Verheijen P. J. T., Cumulative bondomers: a new concept in flux analysis from 2D [ C13, H1 ] COSY NMR data Biotechnology and Bioengineering 2002 80 7 731 745
    • (2002) Biotechnology and Bioengineering , vol.80 , Issue.7 , pp. 731-745
    • Van Winden, W.A.1    Heijnen, J.J.2    Verheijen, P.J.T.3
  • 69
    • 2942579562 scopus 로고    scopus 로고
    • Metabolic flux balance analysis and the in silico analysis of Escherichia coli K-12 gene deletions
    • Edwards J. S., Palsson B. O., Metabolic flux balance analysis and the in silico analysis of Escherichia coli K-12 gene deletions BMC Bioinformatics 2000 1, article 1
    • (2000) BMC Bioinformatics , vol.11
    • Edwards, J.S.1    Palsson, B.O.2
  • 72
    • 70449449392 scopus 로고    scopus 로고
    • Genome scale reconstruction of a salmonella metabolic model: Comparison of similarity and differences with a commensal Escherichia coli strain
    • AbuOun M., Suthers P. F., Jones G. I., Genome scale reconstruction of a salmonella metabolic model: comparison of similarity and differences with a commensal Escherichia coli strain Journal of Biological Chemistry 2009 284 43 29480 29488
    • (2009) Journal of Biological Chemistry , vol.284 , Issue.43 , pp. 29480-29488
    • Abuoun, M.1    Suthers, P.F.2    Jones, G.I.3
  • 73
    • 34347332311 scopus 로고    scopus 로고
    • A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information
    • Feist A. M., Henry C. S., Reed J. L., A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information Molecular Systems Biology 2007 3, article 121
    • (2007) Molecular Systems Biology , vol.3121
    • Feist, A.M.1    Henry, C.S.2    Reed, J.L.3
  • 74
    • 2642563865 scopus 로고    scopus 로고
    • Metabolic control analysis and regulation of the conversion of sucrose to starch in growing potato tubers
    • Geigenberger P., Stitt M., Fernie A. R., Metabolic control analysis and regulation of the conversion of sucrose to starch in growing potato tubers Plant, Cell Environment 2004 27 6 655 673
    • (2004) Plant, Cell Environment , vol.27 , Issue.6 , pp. 655-673
    • Geigenberger, P.1    Stitt, M.2    Fernie, A.R.3
  • 75
    • 28044435822 scopus 로고    scopus 로고
    • Metabolic control analysis reveals an important role for diacylglycerol acyltransferase in olive but not in oil palm lipid accumulation
    • Ramli U. S., Salas J. J., Quant P. A., Harwood J. L., Metabolic control analysis reveals an important role for diacylglycerol acyltransferase in olive but not in oil palm lipid accumulation FEBS Journal 2005 272 22 5764 5770
    • (2005) FEBS Journal , vol.272 , Issue.22 , pp. 5764-5770
    • Ramli, U.S.1    Salas, J.J.2    Quant, P.A.3    Harwood, J.L.4
  • 76
    • 0033977087 scopus 로고    scopus 로고
    • Metabolic control analysis of glycolysis in trypanosomes as an approach to improve selectivity and effectiveness of drugs
    • Bakker B. M., Westerhoff H. V., Opperdoes F. R., Michels P. A. M., Metabolic control analysis of glycolysis in trypanosomes as an approach to improve selectivity and effectiveness of drugs Molecular and Biochemical Parasitology 2000 106 1 1 10
    • (2000) Molecular and Biochemical Parasitology , vol.106 , Issue.1 , pp. 1-10
    • Bakker, B.M.1    Westerhoff, H.V.2    Opperdoes, F.R.3    Michels, P.A.M.4
  • 77
    • 0026802334 scopus 로고
    • Metabolic control analysis: A survey of its theoretical and experimental development
    • Fell D. A., Metabolic control analysis: a survey of its theoretical and experimental development Biochemical Journal 1992 286 2 313 330
    • (1992) Biochemical Journal , vol.286 , Issue.2 , pp. 313-330
    • Fell, D.A.1
  • 79
    • 0037165942 scopus 로고    scopus 로고
    • Combinatorial synthesis of genetic networks
    • Guet C. C., Elowitz M. B., Hsing W., Leibler S., Combinatorial synthesis of genetic networks Science 2002 296 5572 1466 1470
    • (2002) Science , vol.296 , Issue.5572 , pp. 1466-1470
    • Guet, C.C.1    Elowitz, M.B.2    Hsing, W.3    Leibler, S.4
  • 81
    • 3342976059 scopus 로고    scopus 로고
    • Extracting novel information from gene expression data
    • Li Z., Chan C., Extracting novel information from gene expression data Trends in Biotechnology 2004 22 8 381 383
    • (2004) Trends in Biotechnology , vol.22 , Issue.8 , pp. 381-383
    • Li, Z.1    Chan, C.2
  • 85
    • 0036166753 scopus 로고    scopus 로고
    • Linear modes of gene expression determined by independent coponent analysis
    • Liebermeister W., Linear modes of gene expression determined by independent coponent analysis Bioinformatics 2002 18 1 51 60
    • (2002) Bioinformatics , vol.18 , Issue.1 , pp. 51-60
    • Liebermeister, W.1
  • 86
    • 33645108505 scopus 로고    scopus 로고
    • Using a state-space model with hidden variables to infer transcription factor activities
    • Li Z., Shaw S. M., Yedwabnick M. J., Chan C., Using a state-space model with hidden variables to infer transcription factor activities Bioinformatics 2006 22 6 747 754
    • (2006) Bioinformatics , vol.22 , Issue.6 , pp. 747-754
    • Li, Z.1    Shaw, S.M.2    Yedwabnick, M.J.3    Chan, C.4
  • 87
    • 4544352942 scopus 로고    scopus 로고
    • Transcriptional regulatory code of a eukaryotic genome
    • Harbison C. T., Gordon D. B., Lee T. I., Transcriptional regulatory code of a eukaryotic genome Nature 2004 431 7004 99 104
    • (2004) Nature , vol.431 , Issue.7004 , pp. 99-104
    • Harbison, C.T.1    Gordon, D.B.2    Lee, T.I.3
  • 88
    • 0037342537 scopus 로고    scopus 로고
    • The systems biology markup language (SBML): A medium for representation and exchange of biochemical network models
    • Hucka M., Finney A., Sauro H. M., The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models Bioinformatics 2003 19 4 524 531
    • (2003) Bioinformatics , vol.19 , Issue.4 , pp. 524-531
    • Hucka, M.1    Finney, A.2    Sauro, H.M.3
  • 89
    • 27144450537 scopus 로고    scopus 로고
    • Less is more in modeling large genetic networks
    • Bornholdt S., Less is more in modeling large genetic networks Science 2005 310 5747 449 451
    • (2005) Science , vol.310 , Issue.5747 , pp. 449-451
    • Bornholdt, S.1
  • 90
    • 0031933027 scopus 로고    scopus 로고
    • Mathematical modeling and analysis in biochemical engineering: Past accomplishments and future opportunities
    • Bailey J. E., Mathematical modeling and analysis in biochemical engineering: past accomplishments and future opportunities Biotechnology Progress 1998 14 1 8 20
    • (1998) Biotechnology Progress , vol.14 , Issue.1 , pp. 8-20
    • Bailey, J.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.