163 related articles for article (PubMed ID: 20548959)
1. The carbon assimilation network in Escherichia coli is densely connected and largely sign-determined by directions of metabolic fluxes.
Baldazzi V; Ropers D; Markowicz Y; Kahn D; Geiselmann J; de Jong H
PLoS Comput Biol; 2010 Jun; 6(6):e1000812. PubMed ID: 20548959
[TBL] [Abstract][Full Text] [Related]
2. Importance of metabolic coupling for the dynamics of gene expression following a diauxic shift in Escherichia coli.
Baldazzi V; Ropers D; Geiselmann J; Kahn D; de Jong H
J Theor Biol; 2012 Feb; 295():100-15. PubMed ID: 22138386
[TBL] [Abstract][Full Text] [Related]
3. A kinetic model of Escherichia coli core metabolism satisfying multiple sets of mutant flux data.
Khodayari A; Zomorrodi AR; Liao JC; Maranas CD
Metab Eng; 2014 Sep; 25():50-62. PubMed ID: 24928774
[TBL] [Abstract][Full Text] [Related]
4. The multifarious short-term regulation of ammonium assimilation of Escherichia coli: dissection using an in silico replica.
Bruggeman FJ; Boogerd FC; Westerhoff HV
FEBS J; 2005 Apr; 272(8):1965-85. PubMed ID: 15819889
[TBL] [Abstract][Full Text] [Related]
5. Hierarchical organization of fluxes in Escherichia coli metabolic network: using flux coupling analysis for understanding the physiological properties of metabolic genes.
Hosseini Z; Marashi SA
Gene; 2015 May; 561(2):199-208. PubMed ID: 25688882
[TBL] [Abstract][Full Text] [Related]
6. Model reduction using piecewise-linear approximations preserves dynamic properties of the carbon starvation response in Escherichia coli.
Ropers D; Baldazzi V; de Jong H
IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(1):166-81. PubMed ID: 21071805
[TBL] [Abstract][Full Text] [Related]
7. 13C metabolic flux analysis at a genome-scale.
Gopalakrishnan S; Maranas CD
Metab Eng; 2015 Nov; 32():12-22. PubMed ID: 26358840
[TBL] [Abstract][Full Text] [Related]
8. Robustness analysis of the Escherichia coli metabolic network.
Edwards JS; Palsson BO
Biotechnol Prog; 2000; 16(6):927-39. PubMed ID: 11101318
[TBL] [Abstract][Full Text] [Related]
9. Dynamic modeling of the central carbon metabolism of Escherichia coli.
Chassagnole C; Noisommit-Rizzi N; Schmid JW; Mauch K; Reuss M
Biotechnol Bioeng; 2002 Jul; 79(1):53-73. PubMed ID: 17590932
[TBL] [Abstract][Full Text] [Related]
10. Sensitivity of chemical reaction networks: a structural approach. 1. Examples and the carbon metabolic network.
Mochizuki A; Fiedler B
J Theor Biol; 2015 Feb; 367():189-202. PubMed ID: 25451520
[TBL] [Abstract][Full Text] [Related]
11. A hybrid model of anaerobic E. coli GJT001: combination of elementary flux modes and cybernetic variables.
Kim JI; Varner JD; Ramkrishna D
Biotechnol Prog; 2008; 24(5):993-1006. PubMed ID: 19194908
[TBL] [Abstract][Full Text] [Related]
12. Metabolic characterization of Escherichia coli strains adapted to growth on lactate.
Hua Q; Joyce AR; Palsson BØ; Fong SS
Appl Environ Microbiol; 2007 Jul; 73(14):4639-47. PubMed ID: 17513588
[TBL] [Abstract][Full Text] [Related]
13. Analysis of Escherichia coli anaplerotic metabolism and its regulation mechanisms from the metabolic responses to altered dilution rates and phosphoenolpyruvate carboxykinase knockout.
Yang C; Hua Q; Baba T; Mori H; Shimizu K
Biotechnol Bioeng; 2003 Oct; 84(2):129-44. PubMed ID: 12966569
[TBL] [Abstract][Full Text] [Related]
14. OptMDFpathway: Identification of metabolic pathways with maximal thermodynamic driving force and its application for analyzing the endogenous CO2 fixation potential of Escherichia coli.
Hädicke O; von Kamp A; Aydogan T; Klamt S
PLoS Comput Biol; 2018 Sep; 14(9):e1006492. PubMed ID: 30248096
[TBL] [Abstract][Full Text] [Related]
15. Extended notions of sign consistency to relate experimental data to signaling and regulatory network topologies.
Thiele S; Cerone L; Saez-Rodriguez J; Siegel A; Guziołowski C; Klamt S
BMC Bioinformatics; 2015 Oct; 16():345. PubMed ID: 26510976
[TBL] [Abstract][Full Text] [Related]
16. Genetically constrained metabolic flux analysis.
Cox SJ; Shalel Levanon S; Bennett GN; San KY
Metab Eng; 2005; 7(5-6):445-56. PubMed ID: 16143552
[TBL] [Abstract][Full Text] [Related]
17. Kinetic modelling of central carbon metabolism in Escherichia coli.
Peskov K; Mogilevskaya E; Demin O
FEBS J; 2012 Sep; 279(18):3374-85. PubMed ID: 22823407
[TBL] [Abstract][Full Text] [Related]
18. The Escherichia coli BarA-UvrY two-component system is needed for efficient switching between glycolytic and gluconeogenic carbon sources.
Pernestig AK; Georgellis D; Romeo T; Suzuki K; Tomenius H; Normark S; Melefors O
J Bacteriol; 2003 Feb; 185(3):843-53. PubMed ID: 12533459
[TBL] [Abstract][Full Text] [Related]
19. Metabolic flux profiling of Escherichia coli mutants in central carbon metabolism using GC-MS.
Fischer E; Sauer U
Eur J Biochem; 2003 Mar; 270(5):880-91. PubMed ID: 12603321
[TBL] [Abstract][Full Text] [Related]
20. The Csr System Regulates
Morin M; Ropers D; Cinquemani E; Portais JC; Enjalbert B; Cocaign-Bousquet M
mBio; 2017 Oct; 8(5):. PubMed ID: 29089432
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
