Team:UPO-Sevilla/Modeling/Signaling

From 2010.igem.org

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<p>The following figure shows the typical evolution of the output of the system (the generated chemoattractant) againts the inputs (the wall cells ligand and the FecA-PrhA components on the outer membrane)</p>
<p>The following figure shows the typical evolution of the output of the system (the generated chemoattractant) againts the inputs (the wall cells ligand and the FecA-PrhA components on the outer membrane)</p>
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https://static.igem.org/mediawiki/2010/9/9f/UPOSimulation.png
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<center>
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<a href="https://2010.igem.org/Image:UPOSimulation.png">
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<img src="https://static.igem.org/mediawiki/2010/9/9f/UPOSimulation.png" width="500" alt="Simbiology model"/>
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</a>
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</center>
<h1>Analysis</h1>
<h1>Analysis</h1>
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<h2>Sensibility</h2>
<h2>Sensibility</h2>
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<p>
Simbiology allows to compute the sensibility of the system against the different parameters.  
Simbiology allows to compute the sensibility of the system against the different parameters.  
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</p>
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<p>
The following figure
The following figure
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</p>
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<p>
This analysis is referred to the steady-state of the system. Some parameters do not affect the final steady-state number of molecules, but on the other hand affects the velocity of the system in the transition. This can be seen in the following
This analysis is referred to the steady-state of the system. Some parameters do not affect the final steady-state number of molecules, but on the other hand affects the velocity of the system in the transition. This can be seen in the following
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</p>
<h2>Temporal evolution</h2>
<h2>Temporal evolution</h2>

Revision as of 19:21, 26 October 2010

The signaling circuit

The signaling circuit 3 described in the Circuit Section has been modeled using Matlab Simbiology desktop. The following diagram shows the different parts of the model we have simulated:

Simbiology model

For the level of detail considered, the main parts simulated are the following (the number correspond to the equations listed in the table in the next section):

  1. Generation of L_aspartate induced by AAL
  2. Diffusion of L_aspartate through the cell wall
  3. Transcription of the aspA, promoted by FecI_a (active)
  4. Translation of aspA
  5. Activation of FecI, induced by the activation of FecR
  6. Activation of FecR induced by FecA-PrhA
  7. Plant cell wall lingand, FecA-PrhA binding

Reactions

The reaction equations for the previous parts, and the reactions rates associated, are summarized in the following table:

#ReactionReactionRateActive
1ecoli.ammonia + ecoli.fumarate + ecoli.AAL <-> ecoli.L_aspartate + ecoli.AALk1*ecoli.ammonia*ecoli.fumarate*ecoli.AAL - k2*ecoli.L_aspartate*ecoli.AALtrue
2ecoli.L_aspartate <-> medium.L_aspartatekWallDiffusion*ecoli.L_aspartate - kWallDiffusionBack*medium.L_aspartatetrue
3ecoli.DNAaspA + ecoli.FecI_a -> ecoli.ARNm_aspA + ecoli.DNAaspA + ecoli.FecI_akTranscript*ecoli.DNAaspA*ecoli.FecI_atrue
4ecoli.ARNm_aspA -> ecoli.AAL + ecoli.ARNm_aspAkTranslation*ecoli.ARNm_aspAtrue
5ecoli.FecR_a + ecoli.FecI <-> ecoli.FecI_a + ecoli.FecR_akFecIActivation*ecoli.FecR_a*ecoli.FecI - kFecIDeactivation*ecoli.FecI_a*ecoli.FecR_atrue
6ecoli.FecR + ecoli.[ligand:FecA-PrhA] <-> ecoli.FecR_a + ecoli.[ligand:FecA-PrhA]kFecRActivation*ecoli.FecR*ecoli.[ligand:FecA-PrhA] - kFecRDeactivation*ecoli.FecR_a*ecoli.[ligand:FecA-PrhA]true
7plant_cell_wall.ligand + ecoli.[FecA-PrhA] <-> ecoli.[ligand:FecA-PrhA]kCellBinding*plant_cell_wall.ligand*ecoli.[FecA-PrhA] - kCellUnbinding*ecoli.[ligand:FecA-PrhA]true

Simulations

The following figure shows the typical evolution of the output of the system (the generated chemoattractant) againts the inputs (the wall cells ligand and the FecA-PrhA components on the outer membrane)

https://static.igem.org/mediawiki/2010/9/9f/UPOSimulation.png
Simbiology model

Analysis

Sensibility

Simbiology allows to compute the sensibility of the system against the different parameters.

The following figure

This analysis is referred to the steady-state of the system. Some parameters do not affect the final steady-state number of molecules, but on the other hand affects the velocity of the system in the transition. This can be seen in the following

Temporal evolution

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