233 related articles for article (PubMed ID: 20021680)
1. Flux-sum analysis: a metabolite-centric approach for understanding the metabolic network.
Chung BK; Lee DY
BMC Syst Biol; 2009 Dec; 3():117. PubMed ID: 20021680
[TBL] [Abstract][Full Text] [Related]
2. A metabolite-centric view on flux distributions in genome-scale metabolic models.
Riemer SA; Rex R; Schomburg D
BMC Syst Biol; 2013 Apr; 7():33. PubMed ID: 23587327
[TBL] [Abstract][Full Text] [Related]
3. Flux-sum analysis identifies metabolite targets for strain improvement.
Lakshmanan M; Kim TY; Chung BK; Lee SY; Lee DY
BMC Syst Biol; 2015 Oct; 9():73. PubMed ID: 26510838
[TBL] [Abstract][Full Text] [Related]
4. Including metabolite concentrations into flux balance analysis: thermodynamic realizability as a constraint on flux distributions in metabolic networks.
Hoppe A; Hoffmann S; Holzhütter HG
BMC Syst Biol; 2007 Jun; 1():23. PubMed ID: 17543097
[TBL] [Abstract][Full Text] [Related]
5. Enhanced flux prediction by integrating relative expression and relative metabolite abundance into thermodynamically consistent metabolic models.
Pandey V; Hadadi N; Hatzimanikatis V
PLoS Comput Biol; 2019 May; 15(5):e1007036. PubMed ID: 31083653
[TBL] [Abstract][Full Text] [Related]
6. Metabolite essentiality elucidates robustness of Escherichia coli metabolism.
Kim PJ; Lee DY; Kim TY; Lee KH; Jeong H; Lee SY; Park S
Proc Natl Acad Sci U S A; 2007 Aug; 104(34):13638-42. PubMed ID: 17698812
[TBL] [Abstract][Full Text] [Related]
7. Grid-based computational methods for the design of constraint-based parsimonious chemical reaction networks to simulate metabolite production: GridProd.
Tamura T
BMC Bioinformatics; 2018 Sep; 19(1):325. PubMed ID: 30217144
[TBL] [Abstract][Full Text] [Related]
8. Flux imbalance analysis and the sensitivity of cellular growth to changes in metabolite pools.
Reznik E; Mehta P; Segrè D
PLoS Comput Biol; 2013; 9(8):e1003195. PubMed ID: 24009492
[TBL] [Abstract][Full Text] [Related]
9. Dynamic
Abernathy M; Wan N; Shui W; Tang YJ
Methods Mol Biol; 2019; 1859():301-316. PubMed ID: 30421238
[TBL] [Abstract][Full Text] [Related]
10. LK-DFBA: a linear programming-based modeling strategy for capturing dynamics and metabolite-dependent regulation in metabolism.
Dromms RA; Lee JY; Styczynski MP
BMC Bioinformatics; 2020 Mar; 21(1):93. PubMed ID: 32122331
[TBL] [Abstract][Full Text] [Related]
11. Incorporating metabolic flux ratios into constraint-based flux analysis by using artificial metabolites and converging ratio determinants.
Choi HS; Kim TY; Lee DY; Lee SY
J Biotechnol; 2007 May; 129(4):696-705. PubMed ID: 17408794
[TBL] [Abstract][Full Text] [Related]
12. Structural analysis of metabolic networks based on flux centrality.
Koschützki D; Junker BH; Schwender J; Schreiber F
J Theor Biol; 2010 Aug; 265(3):261-9. PubMed ID: 20471988
[TBL] [Abstract][Full Text] [Related]
13. Connecting extracellular metabolomic measurements to intracellular flux states in yeast.
Mo ML; Palsson BO; Herrgård MJ
BMC Syst Biol; 2009 Mar; 3():37. PubMed ID: 19321003
[TBL] [Abstract][Full Text] [Related]
14. pyTFA and matTFA: a Python package and a Matlab toolbox for Thermodynamics-based Flux Analysis.
Salvy P; Fengos G; Ataman M; Pathier T; Soh KC; Hatzimanikatis V
Bioinformatics; 2019 Jan; 35(1):167-169. PubMed ID: 30561545
[TBL] [Abstract][Full Text] [Related]
15. Identification of functional differences in metabolic networks using comparative genomics and constraint-based models.
Hamilton JJ; Reed JL
PLoS One; 2012; 7(4):e34670. PubMed ID: 22666308
[TBL] [Abstract][Full Text] [Related]
16. Can the whole be less than the sum of its parts? Pathway analysis in genome-scale metabolic networks using elementary flux patterns.
Kaleta C; de Figueiredo LF; Schuster S
Genome Res; 2009 Oct; 19(10):1872-83. PubMed ID: 19541909
[TBL] [Abstract][Full Text] [Related]
17. Bacterial metabolism in immediate response to nutritional perturbation with temporal and network view of metabolites.
Yukihira D; Fujimura Y; Wariishi H; Miura D
Mol Biosyst; 2015 Sep; 11(9):2473-82. PubMed ID: 26138404
[TBL] [Abstract][Full Text] [Related]
18. Variability of metabolite levels is linked to differential metabolic pathways in Arabidopsis's responses to abiotic stresses.
Töpfer N; Scossa F; Fernie A; Nikoloski Z
PLoS Comput Biol; 2014 Jun; 10(6):e1003656. PubMed ID: 24946036
[TBL] [Abstract][Full Text] [Related]
19. Software applications toward quantitative metabolic flux analysis and modeling.
Dandekar T; Fieselmann A; Majeed S; Ahmed Z
Brief Bioinform; 2014 Jan; 15(1):91-107. PubMed ID: 23142828
[TBL] [Abstract][Full Text] [Related]
20. Finding elementary flux modes in metabolic networks based on flux balance analysis and flux coupling analysis: application to the analysis of Escherichia coli metabolism.
Tabe-Bordbar S; Marashi SA
Biotechnol Lett; 2013 Dec; 35(12):2039-44. PubMed ID: 24078125
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]