메뉴 건너뛰기




Volumn 8, Issue 9, 2013, Pages

Steady-State Metabolite Concentrations Reflect a Balance between Maximizing Enzyme Efficiency and Minimizing Total Metabolite Load

Author keywords

[No Author keywords available]

Indexed keywords

ENZYME;

EID: 84884659937     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0075370     Document Type: Article
Times cited : (59)

References (59)
  • 1
    • 34447523907 scopus 로고    scopus 로고
    • Systematic evaluation of objective functions for predicting intracellular fluxes in Escherichia coli
    • Schuetz R, Kuepfer L, Sauer U, (2007) Systematic evaluation of objective functions for predicting intracellular fluxes in Escherichia coli. Mol Syst Biol 3: 119. PubMed: 17625511.
    • (2007) Mol Syst Biol , vol.3 , pp. 119
    • Schuetz, R.1    Kuepfer, L.2    Sauer, U.3
  • 3
    • 53649110425 scopus 로고    scopus 로고
    • Systems-level metabolic flux profiling identifies fatty acid synthesis as a target for antiviral therapy
    • doi:10.1038/nbt.1500
    • Munger J, Bennett BD, Parikh A, Feng XJ, McArdle J, et al. (2008) Systems-level metabolic flux profiling identifies fatty acid synthesis as a target for antiviral therapy. Nat Biotechnol 26: 1179-1186. doi:10.1038/nbt.1500. PubMed: 18820684.
    • (2008) Nat Biotechnol , vol.26 , pp. 1179-1186
    • Munger, J.1    Bennett, B.D.2    Parikh, A.3    Feng, X.J.4    McArdle, J.5
  • 4
    • 68049100110 scopus 로고    scopus 로고
    • Absolute metabolite concentrations and implied enzyme active site occupancy in Escherichia coli
    • doi:10.1038/nchembio.186
    • Bennett BD, Kimball EH, Gao M, Osterhout R, Van Dien SJ, et al. (2009) Absolute metabolite concentrations and implied enzyme active site occupancy in Escherichia coli. Nat Chem Biol 5: 593-599. doi:10.1038/nchembio.186. PubMed: 19561621.
    • (2009) Nat Chem Biol , vol.5 , pp. 593-599
    • Bennett, B.D.1    Kimball, E.H.2    Gao, M.3    Osterhout, R.4    Van Dien, S.J.5
  • 5
    • 34247612307 scopus 로고    scopus 로고
    • Multiple High-Throughput Analyses Monitor the Response of E. coli to Perturbations
    • doi:10.1126/science.1132067
    • Ishii N, Nakahigashi K, Baba T, Robert M, Soga T, et al. (2007) Multiple High-Throughput Analyses Monitor the Response of E. coli to Perturbations. Science 316: 593-597. doi:10.1126/science.1132067. PubMed: 17379776.
    • (2007) Science , vol.316 , pp. 593-597
    • Ishii, N.1    Nakahigashi, K.2    Baba, T.3    Robert, M.4    Soga, T.5
  • 6
    • 83055188821 scopus 로고    scopus 로고
    • Metabolome remodeling during the acidogenic-solventogenic transition in Clostridium acetobutylicum
    • Amador-Noguez D, Brasg IA, Feng X-J, Roquet N, Rabinowitz JD, (2011) Metabolome remodeling during the acidogenic-solventogenic transition in Clostridium acetobutylicum. Appl Environ Microbiol, 77: 7984-97. PubMed: 21948824.
    • (2011) Appl Environ Microbiol , vol.77 , pp. 7984-7997
    • Amador-Noguez, D.1    Brasg, I.A.2    Feng, X.-J.3    Roquet, N.4    Rabinowitz, J.D.5
  • 7
    • 77749320898 scopus 로고    scopus 로고
    • What is flux balance analysis?
    • doi:10.1038/nbt.1614
    • Orth JD, Thiele I, Palsson BO, (2010) What is flux balance analysis? Nat Biotechnol 28: 245-248. doi:10.1038/nbt.1614. PubMed: 20212490.
    • (2010) Nat Biotechnol , vol.28 , pp. 245-248
    • Orth, J.D.1    Thiele, I.2    Palsson, B.O.3
  • 8
    • 9544253891 scopus 로고    scopus 로고
    • Genome-scale models of microbial cells: evaluating the consequences of constraints
    • doi:10.1038/nrmicro1023
    • Price ND, Reed JL, Palsson BO, (2004) Genome-scale models of microbial cells: evaluating the consequences of constraints. Nat Rev Microbiol 2: 886-897. doi:10.1038/nrmicro1023. PubMed: 15494745.
    • (2004) Nat Rev Microbiol , vol.2 , pp. 886-897
    • Price, N.D.1    Reed, J.L.2    Palsson, B.O.3
  • 9
    • 77954635021 scopus 로고    scopus 로고
    • The importance of compartmentalization in metabolic flux models: yeast as an ecosystem of organelles
    • Klitgord N, Segrè D, (2010). The importance of compartmentalization in metabolic flux models: yeast as an ecosystem of organellesGenome Inform 22: 41-55.
    • (2010) Genome Inform , vol.22 , pp. 41-55
    • Klitgord, N.1    Segrè, D.2
  • 10
    • 34447308322 scopus 로고    scopus 로고
    • Genome-scale analysis of Saccharomyces cerevisiae metabolism and ethanol production in fed-batch culture
    • doi:10.1002/bit.21332
    • Hjersted JL, Henson MA, Mahadevan R, (2007) Genome-scale analysis of Saccharomyces cerevisiae metabolism and ethanol production in fed-batch culture. Biotechnol Bioeng 97: 1190-1204. doi:10.1002/bit.21332. PubMed: 17243146.
    • (2007) Biotechnol Bioeng , vol.97 , pp. 1190-1204
    • Hjersted, J.L.1    Henson, M.A.2    Mahadevan, R.3
  • 11
    • 0242487787 scopus 로고    scopus 로고
    • Optknock: a bilevel programming framework for identifying gene knockout strategies for microbial strain optimization
    • doi:10.1002/bit.10803
    • Burgard AP, Pharkya P, Maranas CD, (2003) Optknock: a bilevel programming framework for identifying gene knockout strategies for microbial strain optimization. Biotechnol Bioeng 84: 647-657. doi:10.1002/bit.10803. PubMed: 14595777.
    • (2003) Biotechnol Bioeng , vol.84 , pp. 647-657
    • Burgard, A.P.1    Pharkya, P.2    Maranas, C.D.3
  • 12
    • 77949495880 scopus 로고    scopus 로고
    • Predicting Metabolic Engineering Knockout Strategies for Chemical Production: Accounting for Competing Pathways
    • Tepper N, Shlomi T, (2010) Predicting Metabolic Engineering Knockout Strategies for Chemical Production: Accounting for Competing Pathways. Bioinformatics 26: 536-543. PubMed: 20031969.
    • (2010) Bioinformatics , vol.26 , pp. 536-543
    • Tepper, N.1    Shlomi, T.2
  • 14
    • 33747061013 scopus 로고    scopus 로고
    • Structural kinetic modeling of metabolic networks
    • doi:10.1073/pnas.0600013103
    • Steuer R, Gross T, Selbig J, Blasius B, (2006) Structural kinetic modeling of metabolic networks. Proc Natl Acad Sci USA 103: 11868-11873. doi:10.1073/pnas.0600013103. PubMed: 16880395.
    • (2006) Proc Natl Acad Sci USA , vol.103 , pp. 11868-11873
    • Steuer, R.1    Gross, T.2    Selbig, J.3    Blasius, B.4
  • 15
    • 58149156532 scopus 로고    scopus 로고
    • Kinetic hybrid models composed of mechanistic and simplified enzymatic rate laws - a promising method for speeding up the kinetic modelling of complex metabolic networks
    • doi:10.1111/j.1742-4658.2008.06784.x
    • Bulik S, Grimbs S, Huthmacher C, Selbig J, Holzhütter HG, (2009) Kinetic hybrid models composed of mechanistic and simplified enzymatic rate laws - a promising method for speeding up the kinetic modelling of complex metabolic networks. FEBS J 276: 410-424. doi:10.1111/j.1742-4658.2008.06784.x. PubMed: 19137631.
    • (2009) FEBS J , vol.276 , pp. 410-424
    • Bulik, S.1    Grimbs, S.2    Huthmacher, C.3    Selbig, J.4    Holzhütter, H.G.5
  • 16
    • 77952797285 scopus 로고    scopus 로고
    • Streamlining the construction of large-scale dynamic models using generic kinetic equations
    • doi:10.1093/bioinformatics/btq136
    • Adiamah DA, Handl J, Schwartz J-M, (2010) Streamlining the construction of large-scale dynamic models using generic kinetic equations. Bioinformatics 26: 1324-1331. doi:10.1093/bioinformatics/btq136. PubMed: 20363732.
    • (2010) Bioinformatics , vol.26 , pp. 1324-1331
    • Adiamah, D.A.1    Handl, J.2    Schwartz, J.-M.3
  • 17
    • 33750705293 scopus 로고    scopus 로고
    • Integration of metabolome data with metabolic networks reveals reporter reactions
    • Cakir T, Patil KR, Onsan Zi, Ulgen KO, Kirdar B, et al. (2006) Integration of metabolome data with metabolic networks reveals reporter reactions. Mol Syst Biol 2: 50. PubMed: 17016516.
    • (2006) Mol Syst Biol , vol.2 , pp. 50
    • Cakir, T.1    Patil, K.R.2    Onsan, Z.3    Ulgen, K.O.4    Kirdar, B.5
  • 18
    • 77951125481 scopus 로고    scopus 로고
    • Tradeoff between enzyme and metabolite efficiency maintains metabolic homeostasis upon perturbations in enzyme capacity
    • Fendt S-M, Buescher JM, Rudroff F, Picotti P, Zamboni N, et al. (2010) Tradeoff between enzyme and metabolite efficiency maintains metabolic homeostasis upon perturbations in enzyme capacity. Mol Syst Biol 6: 356-. PubMed: 20393576.
    • (2010) Mol Syst Biol , vol.6 , pp. 356
    • Fendt, S.-M.1    Buescher, J.M.2    Rudroff, F.3    Picotti, P.4    Zamboni, N.5
  • 19
    • 33847797256 scopus 로고    scopus 로고
    • Thermodynamics-Based Metabolic Flux Analysis
    • doi:10.1529/biophysj.106.093138
    • Christopher S, Henry LJB, Hatzimanikatis V, (2007) Thermodynamics-Based Metabolic Flux Analysis. Biophys J 92: 1792-1805. doi:10.1529/biophysj.106.093138. PubMed: 17172310.
    • (2007) Biophys J , vol.92 , pp. 1792-1805
    • Christopher, S.1    Henry, L.J.B.2    Hatzimanikatis, V.3
  • 21
    • 84861128104 scopus 로고    scopus 로고
    • System-Level Insights into Yeast Metabolism by Thermodynamic Analysis of Elementary Flux Modes
    • Jol SJ, Kümmel A, Terzer M, Stelling J, Heinemann M, (2012) System-Level Insights into Yeast Metabolism by Thermodynamic Analysis of Elementary Flux Modes. PLOS Comput Biol 8: e1002415. PubMed: 22416224.
    • (2012) PLOS Comput Biol , vol.8
    • Jol, S.J.1    Kümmel, A.2    Terzer, M.3    Stelling, J.4    Heinemann, M.5
  • 22
    • 33745433792 scopus 로고    scopus 로고
    • Putative regulatory sites unraveled by network-embedded thermodynamic analysis of metabolome data
    • Kümmel A, Panke S, Heinemann M, (2006) Putative regulatory sites unraveled by network-embedded thermodynamic analysis of metabolome data. Mol Syst Biol 2: 2006-2034. PubMed: 16788595.
    • (2006) Mol Syst Biol , vol.2 , pp. 2006-2034
    • Kümmel, A.1    Panke, S.2    Heinemann, M.3
  • 23
    • 0030804853 scopus 로고    scopus 로고
    • Flux analysis of underdetermined metabolic networks: the quest for the missing constraints
    • doi:10.1016/S0167-7799(97)01067-6
    • Bonarius HPJ, Schmid G, Tramper J, (1997) Flux analysis of underdetermined metabolic networks: the quest for the missing constraints. Trends Biotechnol 15: 308-314. doi:10.1016/S0167-7799(97)01067-6.
    • (1997) Trends Biotechnol , vol.15 , pp. 308-314
    • Bonarius, H.P.J.1    Schmid, G.2    Tramper, J.3
  • 24
    • 0027537642 scopus 로고
    • Refined algorithm and computer program for calculating all non-negative fluxes admissible in steady states of biochemical reaction systems with or without some flux rates fixed
    • Schuster R, Schuster S, (1993) Refined algorithm and computer program for calculating all non-negative fluxes admissible in steady states of biochemical reaction systems with or without some flux rates fixed. Comput Appl Biosci CABIOS 9: 79-85.
    • (1993) Comput Appl Biosci CABIOS , vol.9 , pp. 79-85
    • Schuster, R.1    Schuster, S.2
  • 25
    • 79955374298 scopus 로고    scopus 로고
    • Recommendations for terminology and databases for biochemical thermodynamics
    • Alberty RA, Bowden AC, Goldberg RN, Hammes GG, Tipton K, et al. (2011) Recommendations for terminology and databases for biochemical thermodynamics. Biophys Chem, 155: 89-103. PubMed: 21501921.
    • (2011) Biophys Chem , vol.155 , pp. 89-103
    • Alberty, R.A.1    Bowden, A.C.2    Goldberg, R.N.3    Hammes, G.G.4    Tipton, K.5
  • 26
    • 0001112639 scopus 로고
    • Minimization of intermediate concentrations as a suggested optimality principle for biochemical networks
    • doi:10.1007/BF00160470
    • Schuster S, Heinrich R, (1991) Minimization of intermediate concentrations as a suggested optimality principle for biochemical networks. J Math Biol 29: 425-442. doi:10.1007/BF00160470.
    • (1991) J Math Biol , vol.29 , pp. 425-442
    • Schuster, S.1    Heinrich, R.2
  • 27
    • 85012765723 scopus 로고
    • Limitation of metabolite concentrations and the conservation of solvent capacity in the living cell
    • Atkinson DE, (1969) Limitation of metabolite concentrations and the conservation of solvent capacity in the living cell. Curr Top Cell Regul 1: 29-43.
    • (1969) Curr Top Cell Regul , vol.1 , pp. 29-43
    • Atkinson, D.E.1
  • 28
    • 0014072872 scopus 로고
    • Metabolic control through reflexive enzyme action
    • doi:10.1016/0022-5193(67)90045-8
    • Koch AL, (1967) Metabolic control through reflexive enzyme action. J Theor Biol 15: 75-102. doi:10.1016/0022-5193(67)90045-8. PubMed: 6034163.
    • (1967) J Theor Biol , vol.15 , pp. 75-102
    • Koch, A.L.1
  • 30
    • 0346555269 scopus 로고    scopus 로고
    • Optimization of specificity in a cellular protein interaction network by negative selection
    • doi:10.1038/nature02178
    • Zarrinpar A, Park SH, Lim WA, (2003) Optimization of specificity in a cellular protein interaction network by negative selection. Nature 426: 676-680. doi:10.1038/nature02178. PubMed: 14668868.
    • (2003) Nature , vol.426 , pp. 676-680
    • Zarrinpar, A.1    Park, S.H.2    Lim, W.A.3
  • 31
    • 0003796783 scopus 로고    scopus 로고
    • Escherichia coli and Salmonella: cellular and molecular biology. Escherichia coli and Salmonella
    • Gross C, Neidhardt F, Curtiss R, Lin E, (1996) Escherichia coli and Salmonella: cellular and molecular biology. Escherichia coli and Salmonella. Cell Mol Biol.
    • (1996) Cell Mol Biol
    • Gross, C.1    Neidhardt, F.2    Curtiss, R.3    Lin, E.4
  • 33
    • 0030016417 scopus 로고    scopus 로고
    • Bacterial growth inhibition by overproduction of protein
    • doi:10.1046/j.1365-2958.1996.5901313.x
    • Kurland CG, Dong H, (1996) Bacterial growth inhibition by overproduction of protein. Mol Microbiol 21: 1-4. doi:10.1046/j.1365-2958.1996.5901313.x. PubMed: 8843428.
    • (1996) Mol Microbiol , vol.21 , pp. 1-4
    • Kurland, C.G.1    Dong, H.2
  • 34
    • 33746649199 scopus 로고    scopus 로고
    • In Vivo Robustness Analysis of Cell Division Cycle Genes in Saccharomyces cerevisiae
    • doi:10.1371/journal.pgen.0020111
    • Moriya H, Shimizu-Yoshida Y, Kitano H, (2006) In Vivo Robustness Analysis of Cell Division Cycle Genes in Saccharomyces cerevisiae. PLOS Genet 2: e111. doi:10.1371/journal.pgen.0020111. PubMed: 16839182.
    • (2006) PLOS Genet , vol.2
    • Moriya, H.1    Shimizu-Yoshida, Y.2    Kitano, H.3
  • 35
    • 84880781653 scopus 로고    scopus 로고
    • Consistent Estimation of Gibbs Energy using Component Contributions
    • submitted
    • Noor EH, Haraldsdóttir H, Milo R, Fleming RMT, (2013) Consistent Estimation of Gibbs Energy using Component Contributions. PLOS Comput Biol (submitted). PubMed: 23874165.
    • (2013) PLOS Comput Biol
    • Noor, E.H.1    Haraldsdóttir, H.2    Milo, R.3    Fleming, R.M.T.4
  • 36
    • 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 AM, Henry CS, Reed JL, Krummenacker M, Joyce AR, et al. (2007) A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information. Mol Syst Biol 3: 121. PubMed: 17593909.
    • (2007) Mol Syst Biol , vol.3 , pp. 121
    • Feist, A.M.1    Henry, C.S.2    Reed, J.L.3    Krummenacker, M.4    Joyce, A.R.5
  • 37
    • 51849115840 scopus 로고    scopus 로고
    • Genome-scale reconstruction and in silico analysis of the Clostridium acetobutylicum ATCC 824 metabolic network
    • doi:10.1007/s00253-008-1654-4
    • Lee J, Yun H, Feist AM, Palsson BØ, Lee SY, (2008) Genome-scale reconstruction and in silico analysis of the Clostridium acetobutylicum ATCC 824 metabolic network. Appl Microbiol Biotechnol 80: 849-862. doi:10.1007/s00253-008-1654-4. PubMed: 18758767.
    • (2008) Appl Microbiol Biotechnol , vol.80 , pp. 849-862
    • Lee, J.1    Yun, H.2    Feist, A.M.3    Palsson, BØ.4    Lee, S.Y.5
  • 38
    • 0037023907 scopus 로고    scopus 로고
    • Stoichiometric model for evaluating the metabolic capabilities of the facultative methylotroph Methylobacterium extorquens AM1, with application to reconstruction of C(3) and C(4) metabolism
    • doi:10.1002/bit.10200
    • Van Dien SJ, Lidstrom ME, (2002) Stoichiometric model for evaluating the metabolic capabilities of the facultative methylotroph Methylobacterium extorquens AM1, with application to reconstruction of C(3) and C(4) metabolism. Biotechnol Bioeng 78: 296-312. doi:10.1002/bit.10200. PubMed: 11920446.
    • (2002) Biotechnol Bioeng , vol.78 , pp. 296-312
    • Van Dien, S.J.1    Lidstrom, M.E.2
  • 39
    • 0036330798 scopus 로고    scopus 로고
    • Genome-scale metabolic model of Helicobacter pylori
    • doi:10.1128/JB.184.16.4582-4593.2002
    • Schilling CH, Covert MW, Famili I, Church GM, Edwards JS, et al. (2002) Genome-scale metabolic model of Helicobacter pylori. J Bacteriol 184: 4582-4593. doi:10.1128/JB.184.16.4582-4593.2002. PubMed: 12142428.
    • (2002) J Bacteriol , vol.184 , pp. 4582-4593
    • Schilling, C.H.1    Covert, M.W.2    Famili, I.3    Church, G.M.4    Edwards, J.S.5
  • 40
    • 0037313750 scopus 로고    scopus 로고
    • Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic network
    • doi:10.1101/gr.234503
    • Förster J, Famili I, Fu P, Palsson BO, Nielsen J, (2003) Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic network. Genome Res 13: 244-253. doi:10.1101/gr.234503. PubMed: 12566402.
    • (2003) Genome Res , vol.13 , pp. 244-253
    • Förster, J.1    Famili, I.2    Fu, P.3    Palsson, B.O.4    Nielsen, J.5
  • 41
    • 9544253891 scopus 로고    scopus 로고
    • Genome-Scale Models of Microbial Cells: Evaluating the Consequences of Consraints
    • Nathan D, Price JLRaBP, (2004) Genome-Scale Models of Microbial Cells: Evaluating the Consequences of Consraints. In: Nature Reviews- Microbiology Volume 2.
    • (2004) Nature Reviews - Microbiology , vol.2
    • Nathan, D.1    Price, J.L.R.B.P.2
  • 42
    • 33846910173 scopus 로고    scopus 로고
    • Global reconstruction of the human metabolic network based on genomic and bibliomic data
    • doi:10.1073/pnas.0610772104
    • Duarte NC, Becker SA, Jamshidi N, Thiele I, Mo ML, et al. (2007) Global reconstruction of the human metabolic network based on genomic and bibliomic data. Proc Natl Acad Sci U S A 104: 1777-1782. doi:10.1073/pnas.0610772104. PubMed: 17267599.
    • (2007) Proc Natl Acad Sci U S A , vol.104 , pp. 1777-1782
    • Duarte, N.C.1    Becker, S.A.2    Jamshidi, N.3    Thiele, I.4    Mo, M.L.5
  • 43
    • 3843128481 scopus 로고    scopus 로고
    • Reconstruction and validation of Saccharomyces cerevisiae iND750, a fully compartmentalized genome-scale metabolic model
    • doi:10.1101/gr.2250904
    • Duarte NC, Herrgård MJ, Palsson BO, (2004) Reconstruction and validation of Saccharomyces cerevisiae iND750, a fully compartmentalized genome-scale metabolic model. Genome Res 14: 1298-1309. doi:10.1101/gr.2250904. PubMed: 15197165.
    • (2004) Genome Res , vol.14 , pp. 1298-1309
    • Duarte, N.C.1    Herrgård, M.J.2    Palsson, B.O.3
  • 44
    • 84990406760 scopus 로고
    • Group contributions for estimating standard gibbs energies of formation of biochemical compounds in aqueous solution
    • doi:10.1002/bit.260380716
    • Mavrovouniotis ML, (1990) Group contributions for estimating standard gibbs energies of formation of biochemical compounds in aqueous solution. Biotechnol Bioeng 38: 803-804. doi:10.1002/bit.260380716. PubMed: 18595046.
    • (1990) Biotechnol Bioeng , vol.38 , pp. 803-804
    • Mavrovouniotis, M.L.1
  • 45
    • 51049107514 scopus 로고    scopus 로고
    • Group Contribution Method for Thermodynamic Analysis of Complex Metabolic Networks
    • doi:10.1529/biophysj.107.124784
    • Jankowski MD, Henry CS, Broadbelt LJ, Hatzimanikatis V, (2008) Group Contribution Method for Thermodynamic Analysis of Complex Metabolic Networks. Biophys J 95: 1487-1499. doi:10.1529/biophysj.107.124784. PubMed: 18645197.
    • (2008) Biophys J , vol.95 , pp. 1487-1499
    • Jankowski, M.D.1    Henry, C.S.2    Broadbelt, L.J.3    Hatzimanikatis, V.4
  • 46
    • 84865136870 scopus 로고    scopus 로고
    • An integrated open framework for thermodynamics of reactions that combines accuracy and coverage
    • Noor E, Bar-Even A, Flamholz A, Lubling Y, Davidi D, et al. (2012) An integrated open framework for thermodynamics of reactions that combines accuracy and coverage. Bioinformatics.
    • (2012) Bioinformatics
    • Noor, E.1    Bar-Even, A.2    Flamholz, A.3    Lubling, Y.4    Davidi, D.5
  • 47
    • 8844259501 scopus 로고    scopus 로고
    • Thermodynamics of enzyme-catalyzed reactions-a database for quantitative biochemistry
    • doi:10.1093/bioinformatics/bth314
    • Goldberg RN, Tewari YB, Bhat TN, (2004) Thermodynamics of enzyme-catalyzed reactions-a database for quantitative biochemistry. Bioinformatics 20: 2874-2877. doi:10.1093/bioinformatics/bth314. PubMed: 15145806.
    • (2004) Bioinformatics , vol.20 , pp. 2874-2877
    • Goldberg, R.N.1    Tewari, Y.B.2    Bhat, T.N.3
  • 48
    • 79955137362 scopus 로고    scopus 로고
    • An in vivo data-driven framework for classification and quantification of enzyme kinetics and determination of apparent thermodynamic data
    • Canelas AB, Ras C, Ten Pierick A, Van Gulik WM, Heijnen JJ, (2011) An in vivo data-driven framework for classification and quantification of enzyme kinetics and determination of apparent thermodynamic data. Metab Eng.
    • (2011) Metab Eng
    • Canelas, A.B.1    Ras, C.2    Ten Pierick, A.3    Van Gulik, W.M.4    Heijnen, J.J.5
  • 49
    • 0036286631 scopus 로고    scopus 로고
    • Energy balance for analysis of complex metabolic networks
    • doi:10.1016/S0006-3495(02)75150-3
    • Beard DA, Liang SD, Qian H, (2002) Energy balance for analysis of complex metabolic networks. Biophys J 83: 79-86. doi:10.1016/S0006-3495(02)75150-3. PubMed: 12080101.
    • (2002) Biophys J , vol.83 , pp. 79-86
    • Beard, D.A.1    Liang, S.D.2    Qian, H.3
  • 50
    • 33847797256 scopus 로고    scopus 로고
    • Thermodynamics-based metabolic flux analysis
    • doi:10.1529/biophysj.106.093138
    • Henry CS, Broadbelt LJ, Hatzimanikatis V, (2007) Thermodynamics-based metabolic flux analysis. Biophys J 92: 1792-1805. doi:10.1529/biophysj.106.093138. PubMed: 17172310.
    • (2007) Biophys J , vol.92 , pp. 1792-1805
    • Henry, C.S.1    Broadbelt, L.J.2    Hatzimanikatis, V.3
  • 51
    • 0037422210 scopus 로고    scopus 로고
    • Metabolic flux analysis of Escherichia coli K12 grown on 13 C-labeled acetate and glucose using GC-MS and powerful flux calculation method
    • doi:10.1016/S0168-1656(02)00316-4
    • Zhao J, Shimizu K, (2003) Metabolic flux analysis of Escherichia coli K12 grown on 13 C-labeled acetate and glucose using GC-MS and powerful flux calculation method. J Biotechnol 101: 101-117. doi:10.1016/S0168-1656(02)00316-4. PubMed: 12568740.
    • (2003) J Biotechnol , vol.101 , pp. 101-117
    • Zhao, J.1    Shimizu, K.2
  • 53
    • 0037008673 scopus 로고    scopus 로고
    • Transcriptional regulation in constraints-based metabolic models of Escherichia coli
    • doi:10.1074/jbc.M201691200
    • Covert MW, Palsson BØ, (2002) Transcriptional regulation in constraints-based metabolic models of Escherichia coli. J Biol Chem 277: 28058-28064. doi:10.1074/jbc.M201691200. PubMed: 12006566.
    • (2002) J Biol Chem , vol.277 , pp. 28058-28064
    • Covert, M.W.1    Palsson, BØ.2
  • 54
    • 77955102352 scopus 로고    scopus 로고
    • Quantifying E. coli proteome and transcriptome with single-molecule sensitivity in single cells
    • doi:10.1126/science.1188308
    • Taniguchi Y, Choi PJ, Li GW, Chen H, Babu M, et al. (2010) Quantifying E. coli proteome and transcriptome with single-molecule sensitivity in single cells. Science 329: 533-538. doi:10.1126/science.1188308. PubMed: 20671182.
    • (2010) Science , vol.329 , pp. 533-538
    • Taniguchi, Y.1    Choi, P.J.2    Li, G.W.3    Chen, H.4    Babu, M.5
  • 55
    • 67650136370 scopus 로고    scopus 로고
    • Influence of uncertainties in pH, pMg, activity coefficients, metabolite concentrations, and other factors on the analysis of the thermodynamic feasibility of metabolic pathways
    • doi:10.1002/bit.22309
    • Vojinović V, von Stockar U, (2009) Influence of uncertainties in pH, pMg, activity coefficients, metabolite concentrations, and other factors on the analysis of the thermodynamic feasibility of metabolic pathways. Biotechnol Bioeng 103: 780-795. doi:10.1002/bit.22309. PubMed: 19365870.
    • (2009) Biotechnol Bioeng , vol.103 , pp. 780-795
    • Vojinović, V.1    von Stockar, U.2
  • 56
    • 84857672615 scopus 로고    scopus 로고
    • Global network reorganization during dynamic adaptations of Bacillus subtilis metabolism
    • doi:10.1126/science.1206871
    • Buescher JM, Liebermeister W, Jules M, Uhr M, Muntel J, et al. (2012) Global network reorganization during dynamic adaptations of Bacillus subtilis metabolism. Science 335: 1099-1103. doi:10.1126/science.1206871. PubMed: 22383848.
    • (2012) Science , vol.335 , pp. 1099-1103
    • Buescher, J.M.1    Liebermeister, W.2    Jules, M.3    Uhr, M.4    Muntel, J.5
  • 57
    • 58149185126 scopus 로고    scopus 로고
    • BRENDA, AMENDA and FRENDA the enzyme information system: new content and tools in 2009
    • doi:10.1093/nar/gkn820
    • Chang A, Scheer M, Grote A, Schomburg I, Schomburg D, (2009) BRENDA, AMENDA and FRENDA the enzyme information system: new content and tools in 2009. Nucleic Acids Res 37: D588-D592. doi:10.1093/nar/gkn820. PubMed: 18984617.
    • (2009) Nucleic Acids Res , vol.37
    • Chang, A.1    Scheer, M.2    Grote, A.3    Schomburg, I.4    Schomburg, D.5
  • 58
    • 77957764414 scopus 로고
    • Honolulu, Department of Political Science
    • Rummel RJ, (1976) Understanding correlation. Honolulu: Department of Political Science, University of Hawaii.
    • (1976) Understanding Correlation
    • Rummel, R.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.