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1.
Figure 3

Figure 3. From: Constraint-based modeling analysis of the metabolism of two Pelobacter species.

Functional classifications of reactions in the two Pelobacter metabolic models. Reactions in each Pelobacter metabolic model were categorized into 9 functional classifications.

Jun Sun, et al. BMC Syst Biol. 2010;4:174-174.
2.
Figure 6

Figure 6. From: Constraint-based modeling analysis of the metabolism of two Pelobacter species.

Validation of the P. carbinolicus metabolic model for growth with Fe(III) reduction. The ratios of produced acetate and ethanol to 2,3-butanediol were obtained from experimental data of P. carbinolicus grown on 2,3-butanediol with or without Fe(III) [10], and were compared to those predicted by in silico simulations with the P. carbinolicus metabolic model.

Jun Sun, et al. BMC Syst Biol. 2010;4:174-174.
3.
Figure 4

Figure 4. From: Constraint-based modeling analysis of the metabolism of two Pelobacter species.

Validation of the P. carbinolicus metabolic model for fermentative growth. The biomass yield per mol of substrate, the ratios of produced acetate to substrates, and the ratios of produced ethanol to substrates were obtained from experimental data of P. carbinolicus fermenting acetoin, 2,3-butanediol, and ethylene glycol [6], and were compared to those predicted by in silico simulations with the P. carbinolicus metabolic model.

Jun Sun, et al. BMC Syst Biol. 2010;4:174-174.
4.
Figure 5

Figure 5. From: Constraint-based modeling analysis of the metabolism of two Pelobacter species.

Validation of the P. propionicus metabolic model for fermentative growth. The biomass yield per mol of substrate, the ratios of acetate to substrates, and the ratios of produced propionate to substrates were obtained from experimental data of P. propionicus fermenting 2,3-butanediol, acetoin, ethanol, propanol, butanol, and lactate [6], and were compared to those predicted by in silico simulations with the P. propionicus metabolic model. * indicating that acetate was consumed during fermentation of propanol and butanol.

Jun Sun, et al. BMC Syst Biol. 2010;4:174-174.
5.
Figure 1

Figure 1. From: Constraint-based modeling analysis of the metabolism of two Pelobacter species.

Determination of the energy parameters of the P. carbinolicus metabolic model. The table shows four sets of physiological data at different dilution rates for P. carbinolicus during acetoin fermentation in chemostats. The red experimental data were applied as constraints in simulations to obtain the predicted blue values, which were then used to generate the linear correlation graph to determine energy parameters of the P. carbinolicus metabolic model.

Jun Sun, et al. BMC Syst Biol. 2010;4:174-174.
6.
Figure 7

Figure 7. From: Constraint-based modeling analysis of the metabolism of two Pelobacter species.

Validation of the P. carbinolicus metabolic model for growth utilizing hydrogen coupled with Fe(III) reduction. The relative biomass yield of ethanol to hydrogen and the ratios of acetate and ethanol to Fe(II) produced were obtained from experimental data of P. carbinolicus growth on hydrogen/acetate or ethanol with Fe(III) as the electron acceptor [10], and were compared to those predicted by in silico simulations with the P. carbinolicus metabolic model.

Jun Sun, et al. BMC Syst Biol. 2010;4:174-174.
7.
Figure 2

Figure 2. From: Constraint-based modeling analysis of the metabolism of two Pelobacter species.

Determination of the stoichiometry of electron transfer in the two sulfur reductase reactions. The relative biomass yield ratios of ethanol to hydrogen were obtained from experimental data of P. carbinolicus grown in batch culture with ethanol or hydrogen as electron donor and Fe(III) oxide or Fe(III)-NTA as electron acceptor [17], and were compared to simulation results varying the stoichiometry of the electron transfer in the two sulfur reductase reactions. The red arrow indicates a close match between experimental and simulation results.

Jun Sun, et al. BMC Syst Biol. 2010;4:174-174.

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