325 related articles for article (PubMed ID: 26474788)
1. iSCHRUNK--In Silico Approach to Characterization and Reduction of Uncertainty in the Kinetic Models of Genome-scale Metabolic Networks.
Andreozzi S; Miskovic L; Hatzimanikatis V
Metab Eng; 2016 Jan; 33():158-168. PubMed ID: 26474788
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Uncertainty reduction in biochemical kinetic models: Enforcing desired model properties.
Miskovic L; Béal J; Moret M; Hatzimanikatis V
PLoS Comput Biol; 2019 Aug; 15(8):e1007242. PubMed ID: 31430276
[TBL] [Abstract][Full Text] [Related]
4. Towards kinetic modeling of genome-scale metabolic networks without sacrificing stoichiometric, thermodynamic and physiological constraints.
Chakrabarti A; Miskovic L; Soh KC; Hatzimanikatis V
Biotechnol J; 2013 Sep; 8(9):1043-57. PubMed ID: 23868566
[TBL] [Abstract][Full Text] [Related]
5. Thermodynamics-based Metabolite Sensitivity Analysis in metabolic networks.
Kiparissides A; Hatzimanikatis V
Metab Eng; 2017 Jan; 39():117-127. PubMed ID: 27845184
[TBL] [Abstract][Full Text] [Related]
6. Identification of metabolic engineering targets for the enhancement of 1,4-butanediol production in recombinant E. coli using large-scale kinetic models.
Andreozzi S; Chakrabarti A; Soh KC; Burgard A; Yang TH; Van Dien S; Miskovic L; Hatzimanikatis V
Metab Eng; 2016 May; 35():148-159. PubMed ID: 26855240
[TBL] [Abstract][Full Text] [Related]
7. Reducing the allowable kinetic space by constructing ensemble of dynamic models with the same steady-state flux.
Tan Y; Rivera JG; Contador CA; Asenjo JA; Liao JC
Metab Eng; 2011 Jan; 13(1):60-75. PubMed ID: 21075211
[TBL] [Abstract][Full Text] [Related]
8. Kinetic models of metabolism that consider alternative steady-state solutions of intracellular fluxes and concentrations.
Hameri T; Fengos G; Ataman M; Miskovic L; Hatzimanikatis V
Metab Eng; 2019 Mar; 52():29-41. PubMed ID: 30455161
[TBL] [Abstract][Full Text] [Related]
9. To be certain about the uncertainty: Bayesian statistics for
Theorell A; Leweke S; Wiechert W; Nöh K
Biotechnol Bioeng; 2017 Nov; 114(11):2668-2684. PubMed ID: 28695999
[No Abstract] [Full Text] [Related]
10. Constrained Allocation Flux Balance Analysis.
Mori M; Hwa T; Martin OC; De Martino A; Marinari E
PLoS Comput Biol; 2016 Jun; 12(6):e1004913. PubMed ID: 27355325
[TBL] [Abstract][Full Text] [Related]
11. Metabolic regulation is sufficient for global and robust coordination of glucose uptake, catabolism, energy production and growth in Escherichia coli.
Millard P; Smallbone K; Mendes P
PLoS Comput Biol; 2017 Feb; 13(2):e1005396. PubMed ID: 28187134
[TBL] [Abstract][Full Text] [Related]
12. NExT: integration of thermodynamic constraints and metabolomics data into a metabolic network.
Martínez VS; Nielsen LK
Methods Mol Biol; 2014; 1191():65-78. PubMed ID: 25178784
[TBL] [Abstract][Full Text] [Related]
13. Fast computation of minimal cut sets in metabolic networks with a Berge algorithm that utilizes binary bit pattern trees.
Jungreuthmayer C; Beurton-Aimar M; Zanghellini J
IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(5):1329-33. PubMed ID: 24062540
[TBL] [Abstract][Full Text] [Related]
14. Fluxomics links cellular functional analyses to whole-plant phenotyping.
Salon C; Avice JC; Colombié S; Dieuaide-Noubhani M; Gallardo K; Jeudy C; Ourry A; Prudent M; Voisin AS; Rolin D
J Exp Bot; 2017 Apr; 68(9):2083-2098. PubMed ID: 28444347
[TBL] [Abstract][Full Text] [Related]
15. Genome-Scale
Ando D; García Martín H
Methods Mol Biol; 2019; 1859():317-345. PubMed ID: 30421239
[TBL] [Abstract][Full Text] [Related]
16. The Protein Cost of Metabolic Fluxes: Prediction from Enzymatic Rate Laws and Cost Minimization.
Noor E; Flamholz A; Bar-Even A; Davidi D; Milo R; Liebermeister W
PLoS Comput Biol; 2016 Nov; 12(11):e1005167. PubMed ID: 27812109
[TBL] [Abstract][Full Text] [Related]
17. Dynamic regulation of metabolic flux in engineered bacteria using a pathway-independent quorum-sensing circuit.
Gupta A; Reizman IM; Reisch CR; Prather KL
Nat Biotechnol; 2017 Mar; 35(3):273-279. PubMed ID: 28191902
[TBL] [Abstract][Full Text] [Related]
18. Green pathways: Metabolic network analysis of plant systems.
Dersch LM; Beckers V; Wittmann C
Metab Eng; 2016 Mar; 34():1-24. PubMed ID: 26704307
[TBL] [Abstract][Full Text] [Related]
19. The effects of alternate optimal solutions in constraint-based genome-scale metabolic models.
Mahadevan R; Schilling CH
Metab Eng; 2003 Oct; 5(4):264-76. PubMed ID: 14642354
[TBL] [Abstract][Full Text] [Related]
20. Integrating Kinetic Model of E. coli with Genome Scale Metabolic Fluxes Overcomes Its Open System Problem and Reveals Bistability in Central Metabolism.
Mannan AA; Toya Y; Shimizu K; McFadden J; Kierzek AM; Rocco A
PLoS One; 2015; 10(10):e0139507. PubMed ID: 26469081
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]