Team:CIDEB-UANL Mexico/Math-Graphics
From 2013hs.igem.org
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- | <p><a href="https://2013hs.igem.org/Team:CIDEB-UANL_Mexico/Math-Graphics#inactive"><font color="blue">cI inactive-active simulation</font></a> - <a href="https://2013hs.igem.org/Team:CIDEB-UANL_Mexico/Math-Graphics#active"><font color="blue"> | + | <p><a href="https://2013hs.igem.org/Team:CIDEB-UANL_Mexico/Math-Graphics#inactive"><font color="blue">cI inactive-active simulation</font></a> - <a href="https://2013hs.igem.org/Team:CIDEB-UANL_Mexico/Math-Graphics#active"><font color="blue">cI active-inactive simulation</font></a><br> |
<a name="Construction"></a><b>Construction plan</b> - <a href="https://2013hs.igem.org/Team:CIDEB-UANL_Mexico/Math-Graphics#"><font color="blue">Return</font></a></p> | <a name="Construction"></a><b>Construction plan</b> - <a href="https://2013hs.igem.org/Team:CIDEB-UANL_Mexico/Math-Graphics#"><font color="blue">Return</font></a></p> | ||
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- | <p align="justify"><a name="inactive"></a><b>cI inactive-active simulation </b> - <a href="https://2013hs.igem.org/Team:CIDEB-UANL_Mexico/Math-Graphics#"><font color="blue">Return</font></a | + | <p align="justify"><a name="inactive"></a><b>cI inactive-active simulation </b> - <a href="https://2013hs.igem.org/Team:CIDEB-UANL_Mexico/Math-Graphics#"><font color="blue">Return</font></a> |
<br>The graphs below shows the change in concentration with respect to time of all the proteins of our circuit in a cI inactive-active state. This simulations are showing our model in a temperature below 32ºC the first 200 minutes making the variables of cI protein production in their minimum value for this initial time, creating the possibility of Vip3Ca3 and GFP proteins to be processed in the bacteria at maximum capacity (maximum capacities shown in the parameter table). Past the half hour the temperature is higher of our ideal parameters of cI production (above 32ºC) allowing the transcription and translation of cI protein in a factor of 1 (represented in the equation number 5 showed above) this is the rise in the blue graph at the time 200 minutes, inhibiting the formation of the other two system parts: Vip3Ca3 and GFP proteins, simulated as the decrease of the purple and green graphics. Whose percents in the <i>E.Coli</i> bacterium drops to the minimum until the cI production stops again and the process restarts.</p></td> | <br>The graphs below shows the change in concentration with respect to time of all the proteins of our circuit in a cI inactive-active state. This simulations are showing our model in a temperature below 32ºC the first 200 minutes making the variables of cI protein production in their minimum value for this initial time, creating the possibility of Vip3Ca3 and GFP proteins to be processed in the bacteria at maximum capacity (maximum capacities shown in the parameter table). Past the half hour the temperature is higher of our ideal parameters of cI production (above 32ºC) allowing the transcription and translation of cI protein in a factor of 1 (represented in the equation number 5 showed above) this is the rise in the blue graph at the time 200 minutes, inhibiting the formation of the other two system parts: Vip3Ca3 and GFP proteins, simulated as the decrease of the purple and green graphics. Whose percents in the <i>E.Coli</i> bacterium drops to the minimum until the cI production stops again and the process restarts.</p></td> | ||
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<td style="paddinng:12px;"><img src="https://static.igem.org/mediawiki/2013hs/0/05/Graphic_cI_on_off.png" height="300" width="400"></td> | <td style="paddinng:12px;"><img src="https://static.igem.org/mediawiki/2013hs/0/05/Graphic_cI_on_off.png" height="300" width="400"></td> | ||
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<p> <a href="https://static.igem.org/mediawiki/2013hs/1/14/Simulations.zip"><font color="blue">Click here to download the Simlulations in MathLab </font></a></p> | <p> <a href="https://static.igem.org/mediawiki/2013hs/1/14/Simulations.zip"><font color="blue">Click here to download the Simlulations in MathLab </font></a></p> | ||
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Latest revision as of 20:35, 21 June 2013
Math Model
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Graphics
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cI inactive-active simulation - cI active-inactive simulation The saturation values for mRNAs and proteins were calculated analytically; but since there are several variables, it becomes complicated to integrate by analytical methods, so we use methods of numerical integration in a computer program by called Simulink. The values of the parameters (rate of transcription, translation, degradation and dissociation) are the ones we have found so far, but we continue researching in order to improve and expand our model. |
cI inactive-active simulation - Return
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cI active-inactive simulation - Return
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CIDEB UANL Team. Centro de Investigación y Desarrollo de Educación Bilingüe |
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