Team:PKU Beijing/Modeling/ODE

From 2009.igem.org

(Difference between revisions)
Line 8: Line 8:
==='''AND Gate 1'''===
==='''AND Gate 1'''===
-
The  
+
The AND Gate 1 module works like this: Sal activates the transcription of T7 RNA polymerase with amber mutation while AraC activates the production of the tRNA. The AND gate part works as T7 RNA polymerase mRNA is translated, which works only when both Sal and AraC present. After the AND gate, T7 RNA polymerase protein activates the expression of CI(Trigger CI), which will push the state of the bi-stable module from CI434 to CI.
{|cellpadding=1
{|cellpadding=1
-
|Process||Description||Equation||Parameters
+
|Substance||Biological Process||Equation||Parameters
|-
|-
-
|
+
|tRNA||
-
 
+
AraC activates the transcription of supD gene, which will produce tRNA. tRNA interacts with animo acids to produce Aa-tRNA, which will be used in the translation process of T7 RNA polymerase. After the translation, tRNA in Aa-tRNA will be released, which will contributes to the enrichment of its concentration. The AND Gate 2 will do the similar effect on the concentration of tRNA. Meanwhile, tRNA and Aa-tRNA degrade in a certain rate. The degradation of tRNA will decrease its concentration, while Aa-tRNA's degradation will produce more tRNA molecules considering the fact that the bond between tRNA and aminoacyl is weak.
 +
||<math>\frac{\mathrm{d}c_1}{\mathrm{d}t}=k_1\frac{(s_1/K_1)^n_1}{1+(s_1/K_1)^n_1}-\gamma_1 c_1+\gamma_2' c_2-u c_1+2\frac{\mathrm{d}c_4}{\mathrm{d}t}+2\frac{\mathrm{d}c_{11}}{\mathrm{d}t}</math>
 +
||c_1: concentration of tRNA<br>
 +
k_1: maxinum transcription rate of tRNA<br>
 +
s_1: concentration of AraC, the stimulus<br>
 +
K_1: microscope dissociation constant<br>
 +
n_1: Hill co-effiency<br>
 +
\gamma_1: degradation and dilution rate of tRNA. Unless notice, "degradation rate" in this model means the combination of degradation rate and dilution rate.<br>
 +
\gamma_2': degradation rate of Aa-tRNA. This process DOES NOT consist of dilution, which will not break down the bond between tRNA and aminoacyl.<br>
 +
u: rate of transformation from tRNA to Aa-tRNA.<br>
 +
\c_4: T7 RNA polymerase, product of AND gate 1.<br>
 +
\c_{11}: T3 RNA polymerase(P2), product of AND gate 2.
 +
|}
==='''Bistable'''===
==='''Bistable'''===

Revision as of 18:21, 16 October 2009
 
Modeling > ODE

Our design this year consists of four modules. For each module, we constructs ODEs(Ordinary Differential Equations) to describe the biological process. In this page, we will demonstrate all of our equations, the corresponding biological reactions, and parameters related. For parameters we used, please go to parameters page. For modeling result of the deterministic model, please go to result page.

AND Gate 1

The AND Gate 1 module works like this: Sal activates the transcription of T7 RNA polymerase with amber mutation while AraC activates the production of the tRNA. The AND gate part works as T7 RNA polymerase mRNA is translated, which works only when both Sal and AraC present. After the AND gate, T7 RNA polymerase protein activates the expression of CI(Trigger CI), which will push the state of the bi-stable module from CI434 to CI.

SubstanceBiological ProcessEquationParameters
tRNA

AraC activates the transcription of supD gene, which will produce tRNA. tRNA interacts with animo acids to produce Aa-tRNA, which will be used in the translation process of T7 RNA polymerase. After the translation, tRNA in Aa-tRNA will be released, which will contributes to the enrichment of its concentration. The AND Gate 2 will do the similar effect on the concentration of tRNA. Meanwhile, tRNA and Aa-tRNA degrade in a certain rate. The degradation of tRNA will decrease its concentration, while Aa-tRNA's degradation will produce more tRNA molecules considering the fact that the bond between tRNA and aminoacyl is weak.

<math>\frac{\mathrm{d}c_1}{\mathrm{d}t}=k_1\frac{(s_1/K_1)^n_1}{1+(s_1/K_1)^n_1}-\gamma_1 c_1+\gamma_2' c_2-u c_1+2\frac{\mathrm{d}c_4}{\mathrm{d}t}+2\frac{\mathrm{d}c_{11}}{\mathrm{d}t}</math> c_1: concentration of tRNA

k_1: maxinum transcription rate of tRNA
s_1: concentration of AraC, the stimulus
K_1: microscope dissociation constant
n_1: Hill co-effiency
\gamma_1: degradation and dilution rate of tRNA. Unless notice, "degradation rate" in this model means the combination of degradation rate and dilution rate.
\gamma_2': degradation rate of Aa-tRNA. This process DOES NOT consist of dilution, which will not break down the bond between tRNA and aminoacyl.
u: rate of transformation from tRNA to Aa-tRNA.
\c_4: T7 RNA polymerase, product of AND gate 1.
\c_{11}: T3 RNA polymerase(P2), product of AND gate 2.

Bistable

AND Gate 2

Output

Full Model



^Top


 

Retrieved from "http://2009.igem.org/Team:PKU_Beijing/Modeling/ODE"