IGEM:IMPERIAL/2006/project/Oscillator/project browser/Full System/Modelling: Difference between revisions

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[[IGEM:IMPERIAL/Methodology/Part_documentation_template | Use this template]]
==Model assumptions and relevance==
*General assumptions on gene expression modelling:
**Quasi-steady state hypothesis on mRNA expression.
**Gene activation can be approximated by [http://en.wikipedia.org/wiki/Hill_equation Hill equations].


[[Image:Slide13b.PNG]]
*Assumptions linked to the quorum sensing:
[[Image:Slide14b.PNG]]
**As a first approximation, we assume that luxR and AHL molecules form a heterodimer (even if it has been found that the complex formed is more complicated).
**The concentration of the complex is in equilibrium with the concentration of AHL
**LuxR is constitutively produced and reaches steady state before AHL production begins. [LuxR] in the prey can be considered constant.
**The concentration of AHL-lactonase is constant.
**The degradation rate of luxR and AHL-lactonase is due to the growth dilution which, in this case, is controlled by the chemostat.
**AHL is diffusing freely throughout the system
 
==Model description of the growth of the predator==
*mathematical description of the predator growth and death:
**<math>\frac{d[AHL]}{dt}= \frac{a * [AHL]}{(a0 + [AHL])} - \frac{b * [AiiA] * [AHL]}{(b0 + [AHL])} - gd * [AHL]</math>
**<math>\frac{d[luxR]}{dt} = \frac{c * [AHL] * [luxR]}{(c0 + [AHL] * [luxR])} - gd * [luxR]</math>
**<math>\frac{d[aiiA]}{dt} = \frac{c * [AHL] * [luxR]}{(c0 + [AHL] * [luxR])} - gd * [aiiA]</math>
 
*insert a graphical representation if possible (e.g. CellDesigner display)
*link to SBML file or matlab.
 
==Model variables and parameters for the growth of the predator==
 
(list all the variables and parameters of the model in a table, specifying if their values are known, unknown, to be measured.)
 
{| border="1" width="100%"
| style="background:lightblue" colspan="5"| '''Variables'''
|- style="background:lightgrey"
!Name !! Description !! Initial Value !! Confidence !! Reference
|-
|width="100"| AHL || homoserine lactone acting as the prey-molecule || 0|| depends how good is the control of the prey positive feedback || links
|-
|width="100"| luxR || molecule acting as the sensing module for the predator || 0|| to be measured as we might have to deal with some leakage of the promoter || links
|-
|width="100"| aiiA || molecule acting as the killing module of the prey for the predator  || to be measured || to be measured as we might have to deal with some leakage of the promoter || links
|}
 
{| border="1" width="100%"
| style="background:lightblue" colspan="5"| '''Parameters'''
|- style="background:lightgrey"
! Name !! Description !! Value !! Confidence !! Reference
|-
|width="100"| c || maximum synthesis rate of the pLux promoter || to be characterized || to be measured || links
|-
|width="100"| c0 || dissociation constant according to Hill eq || to be characterized|| to be measured || links
|-
|width="100"| gd || growth dilution  || XXX || known/unknown/to be measured || links
|}
 
==Model description of the killing of the prey molecule by the predator==
*mathematical description of the killing of the prey:
**<math>\frac{d[AHL]}{dt} = \frac{b * [aiiA] * [AHL]}{(b0 + [AHL])} - e * [AHL]</math>
 
==Model variables and parameters for the growth of the predator==
 
{| border="1" width="100%"
| style="background:lightblue" colspan="5"| '''Variables'''
|- style="background:lightgrey"
!Name !! Description !! Initial Value !! Confidence !! Reference
|-
|width="100"| AHL || homoserine lactone acting as the prey-molecule || 0|| depends how good is the control of the prey positive feedback || links
|-
|width="100"| aiiA || molecule acting as the killing module of the prey for the predator || to be measured || to be measured as we might have to deal with some leakage of the promoter|| links
|}
 
{| border="1" width="100%"
| style="background:lightblue" colspan="5"| '''Parameters'''
|- style="background:lightgrey"
! Name !! Description !! Value !! Confidence !! Reference
|-
|width="100"| b || Maximum degradation rate catalyzed by aiiA || ... || to be measured || links
|-
|width="100"| b0 || Michaelis-Menten constant of enzyme reaction || ... || to be measured || links
|-
|width="100"| e || AHL wash-out  || variable || to be measured/can be varied by chemostat || links
|}
 
==Dynamical and sensitivity analysis==
 
*analyze model in order to show how the part could fulfill its specifications
*insert graph and charts
 
==Characterization==
*Describe how you plan to use the modelling to characterize the part

Revision as of 17:15, 26 October 2006

Super Parts Not applicable
Actual Part
Sub Parts Prey Construct Predator Construct


Model assumptions and relevance

  • General assumptions on gene expression modelling:
    • Quasi-steady state hypothesis on mRNA expression.
    • Gene activation can be approximated by Hill equations.
  • Assumptions linked to the quorum sensing:
    • As a first approximation, we assume that luxR and AHL molecules form a heterodimer (even if it has been found that the complex formed is more complicated).
    • The concentration of the complex is in equilibrium with the concentration of AHL
    • LuxR is constitutively produced and reaches steady state before AHL production begins. [LuxR] in the prey can be considered constant.
    • The concentration of AHL-lactonase is constant.
    • The degradation rate of luxR and AHL-lactonase is due to the growth dilution which, in this case, is controlled by the chemostat.
    • AHL is diffusing freely throughout the system

Model description of the growth of the predator

  • mathematical description of the predator growth and death:
    • [math]\displaystyle{ \frac{d[AHL]}{dt}= \frac{a * [AHL]}{(a0 + [AHL])} - \frac{b * [AiiA] * [AHL]}{(b0 + [AHL])} - gd * [AHL] }[/math]
    • [math]\displaystyle{ \frac{d[luxR]}{dt} = \frac{c * [AHL] * [luxR]}{(c0 + [AHL] * [luxR])} - gd * [luxR] }[/math]
    • [math]\displaystyle{ \frac{d[aiiA]}{dt} = \frac{c * [AHL] * [luxR]}{(c0 + [AHL] * [luxR])} - gd * [aiiA] }[/math]
  • insert a graphical representation if possible (e.g. CellDesigner display)
  • link to SBML file or matlab.

Model variables and parameters for the growth of the predator

(list all the variables and parameters of the model in a table, specifying if their values are known, unknown, to be measured.)

Variables
Name Description Initial Value Confidence Reference
AHL homoserine lactone acting as the prey-molecule 0 depends how good is the control of the prey positive feedback links
luxR molecule acting as the sensing module for the predator 0 to be measured as we might have to deal with some leakage of the promoter links
aiiA molecule acting as the killing module of the prey for the predator to be measured to be measured as we might have to deal with some leakage of the promoter links
Parameters
Name Description Value Confidence Reference
c maximum synthesis rate of the pLux promoter to be characterized to be measured links
c0 dissociation constant according to Hill eq to be characterized to be measured links
gd growth dilution XXX known/unknown/to be measured links

Model description of the killing of the prey molecule by the predator

  • mathematical description of the killing of the prey:
    • [math]\displaystyle{ \frac{d[AHL]}{dt} = \frac{b * [aiiA] * [AHL]}{(b0 + [AHL])} - e * [AHL] }[/math]

Model variables and parameters for the growth of the predator

Variables
Name Description Initial Value Confidence Reference
AHL homoserine lactone acting as the prey-molecule 0 depends how good is the control of the prey positive feedback links
aiiA molecule acting as the killing module of the prey for the predator to be measured to be measured as we might have to deal with some leakage of the promoter links
Parameters
Name Description Value Confidence Reference
b Maximum degradation rate catalyzed by aiiA ... to be measured links
b0 Michaelis-Menten constant of enzyme reaction ... to be measured links
e AHL wash-out variable to be measured/can be varied by chemostat links

Dynamical and sensitivity analysis

  • analyze model in order to show how the part could fulfill its specifications
  • insert graph and charts

Characterization

  • Describe how you plan to use the modelling to characterize the part