Difference between revisions of "Glycine out"
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− | [[Category: | + | [[Category:Uncertainty]] |
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This reaction describes the utilization of the endproduct Glycine in other pathways. | This reaction describes the utilization of the endproduct Glycine in other pathways. | ||
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Simple mass action rate law is used. | Simple mass action rate law is used. | ||
− | <center><math> v = K_{ | + | <center><math> v = K_{1} * [Glycine] - K_{2} * [Glycine_{out}] </math></center> |
==Parameters== | ==Parameters== | ||
+ | *For Transport reactions it is presumed to be at equilibrium, such that <math>K_{eq} = 1</math> and <math>K_{1} = K_{2}</math>. | ||
{|class="wikitable" | {|class="wikitable" | ||
! Parameter | ! Parameter | ||
Line 19: | Line 19: | ||
! Remarks | ! Remarks | ||
|- | |- | ||
− | |<math>K_{ | + | |<math>K_{1}</math> |
|<math>8.03 \times 10^{-3}</math> <ref name="Turnaev_2006">Turnaev II, Ibragimova SS, Usuda Y et al (2006). ''Mathematical modeling of serine and glycine synthesis regulation in Escherichia coli''. Proceedings of the fifth international conference on bioinformatics of genome regulation and structure 2:78–83 </ref> | |<math>8.03 \times 10^{-3}</math> <ref name="Turnaev_2006">Turnaev II, Ibragimova SS, Usuda Y et al (2006). ''Mathematical modeling of serine and glycine synthesis regulation in Escherichia coli''. Proceedings of the fifth international conference on bioinformatics of genome regulation and structure 2:78–83 </ref> | ||
|<math>S^{-1}</math> | |<math>S^{-1}</math> | ||
|Escherichia coli | |Escherichia coli | ||
+ | |- | ||
+ | |<math>K_{2}</math> | ||
+ | |<math>8.03 \times 10^{-3}</math> | ||
+ | |<math>S^{-1}</math> | ||
+ | | | ||
+ | |} | ||
+ | |||
+ | ==Parameters with uncertainty== | ||
+ | *The transport rates have been modelled using mass action kinetics (i.e., as non-saturable, non-enzymatic reactions). No information is available about the uncertainty of these parameters. As these parameters are strictly positive, they are sampled using a log-normal distribution as are and values. The means of <math>K_{1}</math> are set to the value reported in Turnaev (2006) et al. <ref name="Turnaev_2006"></ref> for the fixed-parameter model. The reaction is presumed to be at equilibrium, such that <math>K_{eq} = 1</math> and <math>K_{1} = K_{2}</math>. The sampling of the parameters are done in a way so that it ranges between <math>[0.001\times mean \quad 1000 \times mean ]</math> to allow a large exploration of the parameter space. We use the '''Range rule''' to calculate the mean and standard deviation from maximum and minimum value. For both <math>K_{1}</math> and <math>K_{2}</math> the minimum and maximum value lies between 0.00000803 and 8.03. So the mean is 4.01 and standard deviation would be 2.007. | ||
+ | {|class="wikitable" | ||
+ | ! Parameter | ||
+ | ! Value | ||
+ | ! Organism | ||
+ | ! Remarks | ||
+ | |- | ||
+ | |<math>K_{1}</math> | ||
+ | |<math>4.01 \pm 2.007</math> | ||
+ | |rowspan="2"| | ||
+ | |rowspan="2"| | ||
+ | |- | ||
+ | |<math>K_{2}</math> | ||
+ | |<math>4.01 \pm 2.007</math> | ||
|} | |} | ||
==References== | ==References== | ||
<references/> | <references/> |
Latest revision as of 17:19, 23 May 2014
This reaction describes the utilization of the endproduct Glycine in other pathways.
Contents
Reaction equation
Rate equation
Simple mass action rate law is used.
Parameters
- For Transport reactions it is presumed to be at equilibrium, such that and .
Parameter | Value | Units | Organism | Remarks |
---|---|---|---|---|
[1] | Escherichia coli | |||
Parameters with uncertainty
- The transport rates have been modelled using mass action kinetics (i.e., as non-saturable, non-enzymatic reactions). No information is available about the uncertainty of these parameters. As these parameters are strictly positive, they are sampled using a log-normal distribution as are and values. The means of are set to the value reported in Turnaev (2006) et al. [1] for the fixed-parameter model. The reaction is presumed to be at equilibrium, such that and . The sampling of the parameters are done in a way so that it ranges between to allow a large exploration of the parameter space. We use the Range rule to calculate the mean and standard deviation from maximum and minimum value. For both and the minimum and maximum value lies between 0.00000803 and 8.03. So the mean is 4.01 and standard deviation would be 2.007.
Parameter | Value | Organism | Remarks |
---|---|---|---|