Team:SDU-Denmark/project-bc

From 2010.igem.org

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(Model results)
(Model results)
 
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CheY/CheYp<br>
CheY/CheYp<br>
Flagella moters CCW/CW<br>
Flagella moters CCW/CW<br>
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The time scale of the model might be to large, because it’s not possible to define units to the different parameters in the model such as defining time steps as seconds, minutes and so on, the problem involves defining concentrations of the enzymes.<br>
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The time scale of the model might be to large, because it’s not possible to define units to the different parameters.<br>
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In the program defining time steps as seconds, minutes and so on, is not possible this problem also involves defining concentrations of the enzymes.<br>
Some of the initial reaction rate constants and enzyme concentrations was from articles, and afterwards optimized for this model [[https://2010.igem.org/Team:SDU-Denmark/project-bc#References 3]].<br>
Some of the initial reaction rate constants and enzyme concentrations was from articles, and afterwards optimized for this model [[https://2010.igem.org/Team:SDU-Denmark/project-bc#References 3]].<br>
Focusing on the behaviour of TAR/TARm in the model (Figure 5), it demonstrates that the concentration of methylated TAR rises if no phosphorylated CheB is present in the system.<br> When the concentration of phosphorylated CheB rises the concentration of methylated TAR drops.<br>
Focusing on the behaviour of TAR/TARm in the model (Figure 5), it demonstrates that the concentration of methylated TAR rises if no phosphorylated CheB is present in the system.<br> When the concentration of phosphorylated CheB rises the concentration of methylated TAR drops.<br>
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Focusing on the CheB/CheBp behaviour in the model which illustrate that concentrations of phosphorylated CheB rises when phosphorylated CheA is present, as seen in figure 6 and its dephosphorylation occurs during the demethylation of TAR as seen in figure 5.<br>
Focusing on the CheB/CheBp behaviour in the model which illustrate that concentrations of phosphorylated CheB rises when phosphorylated CheA is present, as seen in figure 6 and its dephosphorylation occurs during the demethylation of TAR as seen in figure 5.<br>
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This corresponded well with the known theory for the real system.<br><br>
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This corresponded well with the known theory for the real system.<br>
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[[Image: Team-SDU-Denmark-CheYmodel.png |thumb|center|550px|'''Figure 7''': graph showing the concentration of CheY rising when the concentration of phosphorylated CheA rises.]]
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Focusing on the CheY/CheYp (Figure 6) and the flagella motor rotational direction the model illustrates that when concentrations of phosphorylated CheA rises, the concentrations of phosphorylated CheY rises and the flagellar activates clockwise rotation.<br>
Focusing on the CheY/CheYp (Figure 6) and the flagella motor rotational direction the model illustrates that when concentrations of phosphorylated CheA rises, the concentrations of phosphorylated CheY rises and the flagellar activates clockwise rotation.<br>
The concentration of phosphylated CheY is proportional to the flagella motor rotational direction, because phosphylated CheY activates Clockwise rotation in the flagellar motors which without phosphylated CheY turns Counter Clockwise.<br>  
The concentration of phosphylated CheY is proportional to the flagella motor rotational direction, because phosphylated CheY activates Clockwise rotation in the flagellar motors which without phosphylated CheY turns Counter Clockwise.<br>  
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This corresponded well with the known theory for the real system.
This corresponded well with the known theory for the real system.
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[[Image: Team-SDU-Denmark-CheYmodel.png |thumb|center|550px|'''Figure 7''': graph showing the concentration of CheY rising when the concentration of phosphorylated CheA rises.]]
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This is a simplified model and only describes a small part of the real system, this makes the data produced by the model useless as prediction for actual bacterial behaviour.<br>
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This is a simplified model and only describes a small part of the real system, this makes the data produced by the model incorrect prediction for actual bacterial behaviour.<br>
Also the too large time scale is making it impossible too describe what happens when the photosensor in the cell is activated by light. <br>
Also the too large time scale is making it impossible too describe what happens when the photosensor in the cell is activated by light. <br>
When trying too introduce the photosensor and the effect of light in the model, the increase in light doesn’t change the system behaviour to a degree that affects the output of the program.<br>
When trying too introduce the photosensor and the effect of light in the model, the increase in light doesn’t change the system behaviour to a degree that affects the output of the program.<br>

Latest revision as of 23:16, 27 October 2010