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Volumn 13, Issue 4, 2017, Pages

From elementary flux modes to elementary flux vectors: Metabolic pathway analysis with arbitrary linear flux constraints

Author keywords

[No Author keywords available]

Indexed keywords

FORMAL CONCEPT ANALYSIS; GEOMETRY; LINEAR PROGRAMMING; METABOLISM; REACTION RATES; VECTOR SPACES;

EID: 85018301681     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1005409     Document Type: Review
Times cited : (56)

References (57)
  • 1
    • 84858439602 scopus 로고    scopus 로고
    • Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods
    • 22367118
    • Lewis NE, Nagarajan H, Palsson BØ, (2012) Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods. Nature Reviews Microbiology10: 291–305. doi: 10.1038/nrmicro2737 22367118
    • (2012) Nature Reviews Microbiology , vol.10 , pp. 291-305
    • Lewis, N.E.1    Nagarajan, H.2    Palsson, B.Ø.3
  • 2
    • 84879002382 scopus 로고    scopus 로고
    • Basic and applied uses of genome-scale metabolic network reconstructions of Escherichia coli
    • 23632383
    • McCloskey D, Palsson BØ, Feist AM, (2013) Basic and applied uses of genome-scale metabolic network reconstructions of Escherichia coli. Molecular Systems Biology9: 661. doi: 10.1038/msb.2013.18 23632383
    • (2013) Molecular Systems Biology , vol.9 , pp. 661
    • McCloskey, D.1    Palsson, B.Ø.2    Feist, A.M.3
  • 4
    • 84930227327 scopus 로고    scopus 로고
    • Using genome-scale models to predict biological capabilities
    • 26000478
    • O'Brien EJ, Monk JM, Palsson BØ, (2015) Using genome-scale models to predict biological capabilities. Cell161: 971–987. doi: 10.1016/j.cell.2015.05.019 26000478
    • (2015) Cell , vol.161 , pp. 971-987
    • O'Brien, E.J.1    Monk, J.M.2    Palsson, B.Ø.3
  • 5
    • 9544253891 scopus 로고    scopus 로고
    • Genome-scale models of microbial cells: evaluating the consequences of constraints
    • 15494745
    • Price ND, Reed JL, Palsson BØ, (2004) Genome-scale models of microbial cells: evaluating the consequences of constraints. Nat Rev Microbiol2: 886–897. doi: 10.1038/nrmicro1023 15494745
    • (2004) Nat Rev Microbiol , vol.2 , pp. 886-897
    • Price, N.D.1    Reed, J.L.2    Palsson, B.Ø.3
  • 7
    • 0000029295 scopus 로고
    • On elementary flux modes in biochemical reaction systems at steady state
    • Schuster S, Hilgetag C, (1994) On elementary flux modes in biochemical reaction systems at steady state. J Biol Syst2: 165–182.
    • (1994) J Biol Syst , vol.2 , pp. 165-182
    • Schuster, S.1    Hilgetag, C.2
  • 8
    • 58149154663 scopus 로고    scopus 로고
    • Elementary mode analysis: a useful metabolic pathway analysis tool for characterizing cellular metabolism
    • Trinh CT, Wlaschin A, Srienc F, (2009) Elementary mode analysis: a useful metabolic pathway analysis tool for characterizing cellular metabolism. Applied and Environmental Microbiology81: 813–826.
    • (2009) Applied and Environmental Microbiology , vol.81 , pp. 813-826
    • Trinh, C.T.1    Wlaschin, A.2    Srienc, F.3
  • 9
    • 84884172916 scopus 로고    scopus 로고
    • Elementary flux modes in a nutshell: Properties, calculation and applications
    • 23788432
    • Zanghellini J, Ruckerbauer DE, Hanscho M, Jungreuthmayer C, (2013) Elementary flux modes in a nutshell: Properties, calculation and applications. Biotechnology Journal8: 1009–1016. doi: 10.1002/biot.201200269 23788432
    • (2013) Biotechnology Journal , vol.8 , pp. 1009-1016
    • Zanghellini, J.1    Ruckerbauer, D.E.2    Hanscho, M.3    Jungreuthmayer, C.4
  • 10
    • 84855884593 scopus 로고    scopus 로고
    • Detecting structural invariants in biological reaction networks
    • Behre J, de Figueiredo LF, Schuster S, Kaleta C, (2012) Detecting structural invariants in biological reaction networks. Meth Mol Biol804: 377–407
    • (2012) Meth Mol Biol , vol.804 , pp. 377-407
    • Behre, J.1    de Figueiredo, L.F.2    Schuster, S.3    Kaleta, C.4
  • 11
    • 52949098408 scopus 로고    scopus 로고
    • Large-scale computation of elementary flux modes with bit pattern trees
    • 18676417
    • Terzer M, Stelling J, (2008) Large-scale computation of elementary flux modes with bit pattern trees. Bioinformatics24: 2229–2235. doi: 10.1093/bioinformatics/btn401 18676417
    • (2008) Bioinformatics , vol.24 , pp. 2229-2235
    • Terzer, M.1    Stelling, J.2
  • 12
    • 16344382935 scopus 로고    scopus 로고
    • An improved algorithm for stoichiometric network analysis: theory and applications
    • 15539452
    • Urbanczik R, Wagner C, (2005) An improved algorithm for stoichiometric network analysis: theory and applications. Bioinformatics21: 1203–1210. doi: 10.1093/bioinformatics/bti127 15539452
    • (2005) Bioinformatics , vol.21 , pp. 1203-1210
    • Urbanczik, R.1    Wagner, C.2
  • 13
    • 13244292328 scopus 로고    scopus 로고
    • Computation of elementary modes: a unifying framework and the new binary approach
    • 15527509
    • Gagneur J, Klamt S, (2004) Computation of elementary modes: a unifying framework and the new binary approach. BMC Bioinformatics5: 175. doi: 10.1186/1471-2105-5-175 15527509
    • (2004) BMC Bioinformatics , vol.5 , pp. 175
    • Gagneur, J.1    Klamt, S.2
  • 14
    • 84901356026 scopus 로고    scopus 로고
    • Complete enumeration of elementary flux modes through scalable demand-based subnetwork definition
    • 24497502
    • Hunt KA, Folsom JP, Taffs RL, Carlson RP, (2014) Complete enumeration of elementary flux modes through scalable demand-based subnetwork definition. Bioinformatics30: 1569–1578. doi: 10.1093/bioinformatics/btu021 24497502
    • (2014) Bioinformatics , vol.30 , pp. 1569-1578
    • Hunt, K.A.1    Folsom, J.P.2    Taffs, R.L.3    Carlson, R.P.4
  • 15
    • 84966661799 scopus 로고    scopus 로고
    • FluxModeCalculator: an efficient tool for large-scale flux mode computation
    • 26685305
    • van Klinken JB, Willems van Dijk K, (2016) FluxModeCalculator: an efficient tool for large-scale flux mode computation. Bioinformatics32: 1265–1266. doi: 10.1093/bioinformatics/btv742 26685305
    • (2016) Bioinformatics , vol.32 , pp. 1265-1266
    • van Klinken, J.B.1    Willems van Dijk, K.2
  • 16
    • 84939204410 scopus 로고    scopus 로고
    • Avoiding the enumeration of infeasible elementary flux modes by including transcriptional regulatory rules in the enumeration process saves computational costs
    • 26091045
    • Jungreuthmayer C, Ruckerbauer DE, Gerstl MP, Hanscho M, Zanghellini J, (2015) Avoiding the enumeration of infeasible elementary flux modes by including transcriptional regulatory rules in the enumeration process saves computational costs. PLoS ONE10: e0129840. doi: 10.1371/journal.pone.0129840 26091045
    • (2015) PLoS ONE , vol.10 , pp. e0129840
    • Jungreuthmayer, C.1    Ruckerbauer, D.E.2    Gerstl, M.P.3    Hanscho, M.4    Zanghellini, J.5
  • 17
    • 77749320898 scopus 로고    scopus 로고
    • What is flux balance analysis?
    • 20212490
    • Orth JD, Thiele I, Palsson BØ, (2010) What is flux balance analysis?Nature Biotechnology28: 245–248. doi: 10.1038/nbt.1614 20212490
    • (2010) Nature Biotechnology , vol.28 , pp. 245-248
    • Orth, J.D.1    Thiele, I.2    Palsson, B.Ø.3
  • 18
    • 34548406565 scopus 로고    scopus 로고
    • Enumerating constrained elementary flux vectors of metabolic networks
    • 17907675
    • Urbanczik R, (2007) Enumerating constrained elementary flux vectors of metabolic networks. IET Systems Biology1: 274–279. 17907675
    • (2007) IET Systems Biology , vol.1 , pp. 274-279
    • Urbanczik, R.1
  • 19
    • 84935478514 scopus 로고    scopus 로고
    • On the feasibility of growth-coupled product synthesis in microbial strains
    • 26112955
    • Klamt S, Mahadevan R, (2015) On the feasibility of growth-coupled product synthesis in microbial strains. Metabolic Engineering30: 166–178. doi: 10.1016/j.ymben.2015.05.006 26112955
    • (2015) Metabolic Engineering , vol.30 , pp. 166-178
    • Klamt, S.1    Mahadevan, R.2
  • 20
    • 84975317388 scopus 로고    scopus 로고
    • Elementary vectors and conformal sums in polyhedral geometry and their relevance for metabolic pathway analysis
    • 27252734
    • Müller S, Regensburger G, (2016) Elementary vectors and conformal sums in polyhedral geometry and their relevance for metabolic pathway analysis. Frontiers in Genetics7: 90. doi: 10.3389/fgene.2016.00090 27252734
    • (2016) Frontiers in Genetics , vol.7 , pp. 90
    • Müller, S.1    Regensburger, G.2
  • 21
    • 84896713646 scopus 로고    scopus 로고
    • Enzyme allocation problems in kinetic metabolic networks: optimal solutions are elementary flux modes
    • 24295962
    • Müller S, Regensburger G, Steuer R, (2014) Enzyme allocation problems in kinetic metabolic networks: optimal solutions are elementary flux modes. Journal of Theoretical Biology347, 182–190. doi: 10.1016/j.jtbi.2013.11.015 24295962
    • (2014) Journal of Theoretical Biology , vol.347 , pp. 182-190
    • Müller, S.1    Regensburger, G.2    Steuer, R.3
  • 22
    • 84957804135 scopus 로고    scopus 로고
    • Mathematical models for explaining the Warburg effect: a review focussed on ATP and biomass production
    • 26614659
    • Schuster S, Boley D, Möller P, Stark H, Kaleta C, (2015) Mathematical models for explaining the Warburg effect: a review focussed on ATP and biomass production. Biochem Soc Trans43: 1187–1194. doi: 10.1042/BST20150153 26614659
    • (2015) Biochem Soc Trans , vol.43 , pp. 1187-1194
    • Schuster, S.1    Boley, D.2    Möller, P.3    Stark, H.4    Kaleta, C.5
  • 25
    • 84866090747 scopus 로고    scopus 로고
    • Optimal flux spaces of genome-scale stoichiometric models are determined by a few subnetworks
    • 22896812
    • Kelk SM, Olivier BG, Stougie L, Bruggemann FJ, (2012) Optimal flux spaces of genome-scale stoichiometric models are determined by a few subnetworks. Scientific Reports2: 580. doi: 10.1038/srep00580 22896812
    • (2012) Scientific Reports , vol.2 , pp. 580
    • Kelk, S.M.1    Olivier, B.G.2    Stougie, L.3    Bruggemann, F.J.4
  • 26
    • 0034615791 scopus 로고    scopus 로고
    • Theory for the systemic definition of metabolic pathways and their use in interpreting metabolic function from a pathway-oriented perspective
    • 10716907
    • Schilling CH, Letscher D, Palsson BØ, (2000) Theory for the systemic definition of metabolic pathways and their use in interpreting metabolic function from a pathway-oriented perspective. Journal of Theoretical Biology203: 229–248. doi: 10.1006/jtbi.2000.1073 10716907
    • (2000) Journal of Theoretical Biology , vol.203 , pp. 229-248
    • Schilling, C.H.1    Letscher, D.2    Palsson, B.Ø.3
  • 27
    • 0037308505 scopus 로고    scopus 로고
    • Two approaches for metabolic pathway analysis?
    • 12573854
    • Klamt S, Stelling J, (2003) Two approaches for metabolic pathway analysis?Trends in Biotechnology21(2):64–69. 12573854
    • (2003) Trends in Biotechnology , vol.21 , Issue.2 , pp. 64-69
    • Klamt, S.1    Stelling, J.2
  • 29
    • 28444458560 scopus 로고    scopus 로고
    • The Geometry of the Flux Cone of a Metabolic Network
    • 16183876
    • Wagner C, Urbanczik R, (2005) The Geometry of the Flux Cone of a Metabolic Network. Biophysical Journal, 89:3837–3845. doi: 10.1529/biophysj.104.055129 16183876
    • (2005) Biophysical Journal , vol.89 , pp. 3837-3845
    • Wagner, C.1    Urbanczik, R.2
  • 30
    • 77953514760 scopus 로고    scopus 로고
    • Which Metabolic Pathways Generate and Characterize the Flux Space? A Comparison among ElementaryModes, Extreme Pathways and Minimal Generators
    • Llaneras F, Picó J, (2010) Which Metabolic Pathways Generate and Characterize the Flux Space? A Comparison among ElementaryModes, Extreme Pathways and Minimal Generators. Journal of Biomedicine and Biotechnology, 753904, 13 p.
    • (2010) Journal of Biomedicine and Biotechnology , pp. 13
    • Llaneras, F.1    Picó, J.2
  • 31
    • 77957347506 scopus 로고    scopus 로고
    • Molecular-level tradeoffs and metabolic adaptation to simultaneous stressors
    • 20637598
    • Carlson RP, Taffs RL, (2010) Molecular-level tradeoffs and metabolic adaptation to simultaneous stressors. Current Opinion in Biotechnology21: 670–676. doi: 10.1016/j.copbio.2010.05.011 20637598
    • (2010) Current Opinion in Biotechnology , vol.21 , pp. 670-676
    • Carlson, R.P.1    Taffs, R.L.2
  • 32
    • 84940959916 scopus 로고    scopus 로고
    • Predicting genetic engineering targets with Elementary Flux Mode Analysis: a review of four current methods
    • 25917465
    • Ruckerbauer DE, Jungreuthmayer C, Zanghellini J, (2015) Predicting genetic engineering targets with Elementary Flux Mode Analysis: a review of four current methods. N Biotechnol32: 534–546. doi: 10.1016/j.nbt.2015.03.017 25917465
    • (2015) N Biotechnol , vol.32 , pp. 534-546
    • Ruckerbauer, D.E.1    Jungreuthmayer, C.2    Zanghellini, J.3
  • 33
    • 84964043843 scopus 로고    scopus 로고
    • In Silico Constraint-Based Strain Optimization Methods: the Quest for Optimal Cell Factories
    • 26609052
    • Maia P, Rocha M, Rocha I, (2015) In Silico Constraint-Based Strain Optimization Methods: the Quest for Optimal Cell Factories. Microbiol Mol Biol Rev80: 45–67. doi: 10.1128/MMBR.00014-15 26609052
    • (2015) Microbiol Mol Biol Rev , vol.80 , pp. 45-67
    • Maia, P.1    Rocha, M.2    Rocha, I.3
  • 34
    • 84938074954 scopus 로고    scopus 로고
    • Co-evolution of strain design methods based on flux balance and elementary mode analysis
    • Machado D, Herrgard MJ, (2015) Co-evolution of strain design methods based on flux balance and elementary mode analysis. Metabolic Engineering Communications2: 85–92.
    • (2015) Metabolic Engineering Communications , vol.2 , pp. 85-92
    • Machado, D.1    Herrgard, M.J.2
  • 35
    • 45749137679 scopus 로고    scopus 로고
    • Minimal Escherichia coli cell for the most efficient production of ethanol from hexoses and pentoses
    • 18424547
    • Trinh CT, Unrean P, Srienc F, (2008) Minimal Escherichia coli cell for the most efficient production of ethanol from hexoses and pentoses. Applied and Environmental Microbiology74: 3634–3643. doi: 10.1128/AEM.02708-07 18424547
    • (2008) Applied and Environmental Microbiology , vol.74 , pp. 3634-3643
    • Trinh, C.T.1    Unrean, P.2    Srienc, F.3
  • 36
    • 74549189949 scopus 로고    scopus 로고
    • Flux design: in silico design of cell factories based on correlation of pathway fluxes to desired properties
    • 20035624
    • Melzer G, Esfandabadi ME, Franco-Lara E, Wittmann C, (2009) Flux design: in silico design of cell factories based on correlation of pathway fluxes to desired properties. BMC Syst Biol3: 120. doi: 10.1186/1752-0509-3-120 20035624
    • (2009) BMC Syst Biol , vol.3 , pp. 120
    • Melzer, G.1    Esfandabadi, M.E.2    Franco-Lara, E.3    Wittmann, C.4
  • 37
    • 79952103372 scopus 로고    scopus 로고
    • Computing complex metabolic intervention strategies using constrained minimal cut sets
    • 21147248
    • Hädicke O, Klamt S, (2011) Computing complex metabolic intervention strategies using constrained minimal cut sets. Metabolic Engineering13, 204–213. doi: 10.1016/j.ymben.2010.12.004 21147248
    • (2011) Metabolic Engineering , vol.13 , pp. 204-213
    • Hädicke, O.1    Klamt, S.2
  • 38
    • 84896731390 scopus 로고    scopus 로고
    • Enumeration of smallest intervention strategies in genome-scale metabolic networks
    • 24391481
    • von Kamp A, Klamt S, (2014) Enumeration of smallest intervention strategies in genome-scale metabolic networks. PLoS Comput Biol10: e1003378. doi: 10.1371/journal.pcbi.1003378 24391481
    • (2014) PLoS Comput Biol , vol.10 , pp. e1003378
    • von Kamp, A.1    Klamt, S.2
  • 39
    • 10644275010 scopus 로고    scopus 로고
    • A method for the determination of flux in elementary modes, and its application to Lactobacillus rhamnosus
    • 15470705
    • Poolman MG, Venkatesh KV, Pidcock MK, Fell DA, (2004) A method for the determination of flux in elementary modes, and its application to Lactobacillus rhamnosus. Biotechnology and Bioengineering88: 601–612. doi: 10.1002/bit.20273 15470705
    • (2004) Biotechnology and Bioengineering , vol.88 , pp. 601-612
    • Poolman, M.G.1    Venkatesh, K.V.2    Pidcock, M.K.3    Fell, D.A.4
  • 40
    • 33746083686 scopus 로고    scopus 로고
    • Quantitative elementary mode analysis of metabolic pathways: the example of yeast glycolysis
    • 16584566
    • Schwartz J-M, Kanehisa M, (2006) Quantitative elementary mode analysis of metabolic pathways: the example of yeast glycolysis. BMC Bioinformatics7:186. doi: 10.1186/1471-2105-7-186 16584566
    • (2006) BMC Bioinformatics , vol.7 , pp. 186
    • Schwartz, J.-M.1    Kanehisa, M.2
  • 42
    • 84880997617 scopus 로고    scopus 로고
    • Selection of human tissue-specific elementary flux modes using gene expression data
    • 23742984
    • Rezola A, Pey J, Figueiredo LF, Podhorski A, Schuster S, Rubio A, Planes FJ, (2013) Selection of human tissue-specific elementary flux modes using gene expression data. Bioinformatics29: 2009–16. doi: 10.1093/bioinformatics/btt328 23742984
    • (2013) Bioinformatics , vol.29 , pp. 2009-2016
    • Rezola, A.1    Pey, J.2    Figueiredo, L.F.3    Podhorski, A.4    Schuster, S.5    Rubio, A.6    Planes, F.J.7
  • 44
    • 84936805128 scopus 로고    scopus 로고
    • tEFMA: computing thermodynamically feasible elementary flux modes in metabolic networks
    • Jungreuthmayer C, Zanghellini J, (2016) tEFMA: computing thermodynamically feasible elementary flux modes in metabolic networks. Bioinformatics31: 2232–2234.
    • (2016) Bioinformatics , vol.31 , pp. 2232-2234
    • Jungreuthmayer, C.1    Zanghellini, J.2
  • 45
    • 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 Computat Biol8: e1002415.
    • (2012) PLoS Computat Biol , vol.8 , pp. e1002415
    • Jol, S.J.1    Kümmel, A.2    Terzer, M.3    Stelling, J.4    Heinemann, M.5
  • 46
    • 84962678128 scopus 로고    scopus 로고
    • Which sets of elementary flux modes form thermodynamically feasible flux distributions?
    • 26940826
    • Gerstl MP, Jungreuthmayer C, Müller S, Zanghellini J, (2016) Which sets of elementary flux modes form thermodynamically feasible flux distributions?FEBS Journal283: 1782–1794. doi: 10.1111/febs.13702 26940826
    • (2016) FEBS Journal , vol.283 , pp. 1782-1794
    • Gerstl, M.P.1    Jungreuthmayer, C.2    Müller, S.3    Zanghellini, J.4
  • 47
    • 84929485274 scopus 로고    scopus 로고
    • Interplay between constraints, objectives, and optimality for genome-scale stoichiometric models
    • 25849486
    • Maarleveld TR, Wortel MT, Olivier BG, Teusink B, Bruggeman FJ, (2015) Interplay between constraints, objectives, and optimality for genome-scale stoichiometric models. PLoS Comput Biol11: e1004166. doi: 10.1371/journal.pcbi.1004166 25849486
    • (2015) PLoS Comput Biol , vol.11 , pp. e1004166
    • Maarleveld, T.R.1    Wortel, M.T.2    Olivier, B.G.3    Teusink, B.4    Bruggeman, F.J.5
  • 48
    • 0039178406 scopus 로고
    • . In:,,, –. Chapel Hill University North Carolina Press
    • Rockafellar RT, (1969) The elementary vectors of a subspace of RN. In: Combinatorial Mathematics and its Applications, Chapel Hill, University North Carolina Press, 104–127.
    • (1969) Combinatorial Mathematics and its Applications , pp. 104-127
    • Rockafellar, R.T.1
  • 49
    • 27944471469 scopus 로고    scopus 로고
    • Functional stoichiometric analysis of metabolic networks
    • 16188931
    • Urbanczik R, Wagner C, (2005) Functional stoichiometric analysis of metabolic networks. Bioinformatics21: 4176–4180. doi: 10.1093/bioinformatics/bti674 16188931
    • (2005) Bioinformatics , vol.21 , pp. 4176-4180
    • Urbanczik, R.1    Wagner, C.2
  • 50
    • 1242274402 scopus 로고    scopus 로고
    • Flux coupling analysis of genome-scale metabolic network reconstructions
    • 14718379
    • Burgard AP, Nikolaev EV, Schilling CH, Maranas CD, (2004) Flux coupling analysis of genome-scale metabolic network reconstructions. Genome Research14:301–312. doi: 10.1101/gr.1926504 14718379
    • (2004) Genome Research , vol.14 , pp. 301-312
    • Burgard, A.P.1    Nikolaev, E.V.2    Schilling, C.H.3    Maranas, C.D.4
  • 52
    • 84887038656 scopus 로고    scopus 로고
    • Comparison and improvement of algorithms for computing minimal cut sets
    • 24191903
    • Jungreuthmayer C, Nair G, Klamt S, Zanghellini J, (2013) Comparison and improvement of algorithms for computing minimal cut sets. BMC Bioinformatics14:318. doi: 10.1186/1471-2105-14-318 24191903
    • (2013) BMC Bioinformatics , vol.14 , pp. 318
    • Jungreuthmayer, C.1    Nair, G.2    Klamt, S.3    Zanghellini, J.4
  • 54
    • 84904992252 scopus 로고    scopus 로고
    • Direct calculation of elementary flux modes satisfying several biological constraints in genome-scale metabolic networks
    • 24728852
    • Pey J, Planes FJ, (2014). Direct calculation of elementary flux modes satisfying several biological constraints in genome-scale metabolic networks. Bioinformatics30: 2197–2203. doi: 10.1093/bioinformatics/btu193 24728852
    • (2014) Bioinformatics , vol.30 , pp. 2197-2203
    • Pey, J.1    Planes, F.J.2
  • 55
    • 77952585143 scopus 로고    scopus 로고
    • CASOP: a computational approach for strain optimization aiming at high productivity
    • 20303369
    • Hädicke O, Klamt S, (2010) CASOP: a computational approach for strain optimization aiming at high productivity. Journal of Biotechnology147: 88–101. doi: 10.1016/j.jbiotec.2010.03.006 20303369
    • (2010) Journal of Biotechnology , vol.147 , pp. 88-101
    • Hädicke, O.1    Klamt, S.2
  • 56
    • 34447551397 scopus 로고    scopus 로고
    • Structural and functional analysis of cellular networks with CellNetAnalyzer
    • 17408509
    • Klamt S, Saez-Rodriguez J, Gilles ED, (2007) Structural and functional analysis of cellular networks with CellNetAnalyzer. BMC Systems Biology1: 2. doi: 10.1186/1752-0509-1-2 17408509
    • (2007) BMC Systems Biology , vol.1 , pp. 2
    • Klamt, S.1    Saez-Rodriguez, J.2    Gilles, E.D.3
  • 57
    • 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. Computer applications in the biosciences
    • 8435772
    • 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. Computer applications in the biosciences: CABIOS9: 79–85. 8435772
    • (1993) CABIOS , vol.9 , pp. 79-85
    • Schuster, R.1    Schuster, S.2


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