Team:NUDT CHINA/Modeling
From 2014.igem.org
Line 55: | Line 55: | ||
<ul> | <ul> | ||
<li>the concentration of promoter binding sites in unit <i>i</i> is <img src="https://static.igem.org/mediawiki/2014/d/d8/NUDT_CHINA_modeling_equation_di.png" />;</li> | <li>the concentration of promoter binding sites in unit <i>i</i> is <img src="https://static.igem.org/mediawiki/2014/d/d8/NUDT_CHINA_modeling_equation_di.png" />;</li> | ||
- | <li>the concentration of upstream promoter protein in unit <i>i</i> is <img src="" />;</li> | + | <li>the concentration of upstream promoter protein in unit <i>i</i> is <img src="https://static.igem.org/mediawiki/2014/6/6f/NUDT_CHINA_modeling_equation_pit.png" />;</li> |
- | <li>the concentration of mrna in unit <i>i</i> is < | + | <li>the concentration of mrna in unit <i>i</i> is <img src="https://static.igem.org/mediawiki/2014/f/ff/NUDT_CHINA_modeling_equation_rit.png" />;</li> |
- | <li>the concentration of product protein in unit <i>i</i> is < | + | <li>the concentration of product protein in unit <i>i</i> is <img src="https://static.igem.org/mediawiki/2014/0/06/NUDT_CHINA_modeling_equation_xit.png" />;</li> |
- | <li>the hill coefficient of promotion in unit <i>i</i> is < | + | <li>the hill coefficient of promotion in unit <i>i</i> is <img src="https://static.igem.org/mediawiki/2014/f/f5/NUDT_CHINA_modeling_equation_ni.png" />;</li> |
- | <li>the dissociation constant in unit <i>i</i> is | + | <li>the dissociation constant in unit <i>i</i> is <img src="https://static.igem.org/mediawiki/2014/5/55/NUDT_CHINA_modeling_equation_kpdni.png" />.</li> |
</ul> | </ul> | ||
</p> | </p> | ||
- | <p>where < | + | <p>where <img src="https://static.igem.org/mediawiki/2014/a/a8/NUDT_CHINA_modeling_equation_i12345.png" /> (See Fig. 3)</p> |
- | <p><center><img src="" /><br>Fig. 3 Five Units of the Cascade Regulatory Pathway and the Statement of Symbols</center></p> | + | <p><center><img src="https://static.igem.org/mediawiki/2014/1/1c/NUDT_CHINA_modeling_equation_3_1.png" /><br>Fig. 3 Five Units of the Cascade Regulatory Pathway and the Statement of Symbols</center></p> |
- | <p><h5>III. Mathematic Model</h5> | + | <p><h5>III. Mathematic Model</h5></p> |
+ | <p>In the model of the cascade regulatory pathway, we can gets equations according to the mRNA & protein metabolism of each unit and the protein transmit among different units.</p> | ||
+ | |||
+ | <p><h6>i. mRNA Metabolism of Each Unit</h6></p> | ||
+ | <p>According to and the Hill equation, we suppose that mRNA degraded without enzyme. So the degradation rate is proportional to the concentration of the mRNA itself. Now, we can describe the rate of promotion & transcription by time:</p> | ||
+ | |||
+ | <p><center><img src="https://static.igem.org/mediawiki/2014/1/1c/NUDT_CHINA_modeling_equation_3_1.png" /> (3.1)</center></p> | ||
+ | <p>Where <img src="https://static.igem.org/mediawiki/2014/3/3f/NUDT_CHINA_modeling_equation_vi.png" /> is the maximum formation rate of mRNA in unit <i>i</i> and <img src="https://static.igem.org/mediawiki/2014/f/f8/NUDT_CHINA_modeling_equation_ri.png" /> is the degradation rate constant of mRNA in unit <i>i</i>.(<img src="https://static.igem.org/mediawiki/2014/a/a8/NUDT_CHINA_modeling_equation_i12345.png" />)</p> | ||
+ | |||
+ | <p><h6>ii. Protein Metabolism of Each Unit</h6></p> | ||
+ | <p>In the same way, we suppose that protein degraded without enzyme. So the degradation rate is proportional to the concentration of the mRNA itself. Now, we can descript the rate of translation by time:</p> | ||
+ | <p><center><img src="https://static.igem.org/mediawiki/2014/c/c8/NUDT_CHINA_modeling_equation_3_2.png" /> (3.2)</center></p> | ||
+ | <p>Where <img src="https://static.igem.org/mediawiki/2014/c/c8/NUDT_CHINA_modeling_equation_ui.png" />is the maximum formation rate of protein in unit <i>i</i> and <img src="https://static.igem.org/mediawiki/2014/4/4d/NUDT_CHINA_modeling_equation_xi.png" /> is the degradation rate constant of protein in unit <i>i</i>. (<img src="https://static.igem.org/mediawiki/2014/a/a8/NUDT_CHINA_modeling_equation_i12345.png" />)</p> | ||
+ | |||
+ | <p><h6>iii. Protein Transmit Among Different Units</h6></p> | ||
+ | <p>From the topological relationship of the cascade regulatory pathway (Fig. 3), we can get the equations by describing the protein transmitting among different units:</p> | ||
+ | <p><center><img src="https://static.igem.org/mediawiki/2014/2/2c/NUDT_CHINA_modeling_equation_3_3.png" /> (3.2)</center></p> | ||
+ | <p>Theoretically, we can get the function of <img src="https://static.igem.org/mediawiki/2014/9/9b/NUDT_CHINA_modeling_equation_x5.png" /> , which tells the temporal concentration of green fluorescence protein (GFP), by simultaneous equations (3.1)(3.2)(3.3).</p> | ||
+ | |||
+ | <p><h5>IV. Calculation and Results of the Mathematic Model</h5></p> | ||
+ | <p><h6>i. Calculation</h6></p> | ||
+ | <p>Limited by the calculation scale and experimental data, we assume that parameters (except the input and output) of each units are identical.</p> | ||
+ | <p><center><img src="https://static.igem.org/mediawiki/2014/3/3b/NUDT_CHINA_modeling_equation_4_1.png" /> (4.1)<br> | ||
+ | <img src="https://static.igem.org/mediawiki/2014/d/d9/NUDT_CHINA_modeling_equation_4_2.png" /> (4.2)</center></p> | ||
+ | <p>Theoretically, we can get the function of <img src="https://static.igem.org/mediawiki/2014/9/9b/NUDT_CHINA_modeling_equation_x5.png" /> , which tells the temporal concentration of green fluorescence protein (GFP), by simultaneous equations (3.1)(3.2)(3.3).</p> | ||
- | |||
Revision as of 13:39, 17 October 2014
Fig. 1 Cascade Regulatory Framework Fig. 2 Cascade Regulatory Pathway in DNA According the cascade regulatory framework (Fig. 1) to solve the shortest path problem, we can build the cascade regulatory path in the plasmid of E. coli (Fig. 2). Now, we divide the whole cascade regulatory pathway into five units, which share same structures and similar properties (Fig. 3). Every unit can perform three common behaviours, i.e. promotion, transcription and translation. Usually, we can combine the process of promotion and translation when building and calculating the mathematic model of cascade regulatory. After combination, it is reasonable to assume that the transcriptional rate is in direct proportion to the extent of promotion. So we now get five easier units which can achieve two separated functions: promotion & transcription and translation. The logic of the cascade regulation is:
In addition, we need to take the temporal degradation of mRNA and protein into account.
I. Analyses of Cascade Regulatory PathwayHere, we donate:
where (See Fig. 3) Fig. 3 Five Units of the Cascade Regulatory Pathway and the Statement of Symbols III. Mathematic ModelIn the model of the cascade regulatory pathway, we can gets equations according to the mRNA & protein metabolism of each unit and the protein transmit among different units. i. mRNA Metabolism of Each UnitAccording to and the Hill equation, we suppose that mRNA degraded without enzyme. So the degradation rate is proportional to the concentration of the mRNA itself. Now, we can describe the rate of promotion & transcription by time: Where is the maximum formation rate of mRNA in unit i and is the degradation rate constant of mRNA in unit i.() ii. Protein Metabolism of Each UnitIn the same way, we suppose that protein degraded without enzyme. So the degradation rate is proportional to the concentration of the mRNA itself. Now, we can descript the rate of translation by time: Where is the maximum formation rate of protein in unit i and is the degradation rate constant of protein in unit i. () iii. Protein Transmit Among Different UnitsFrom the topological relationship of the cascade regulatory pathway (Fig. 3), we can get the equations by describing the protein transmitting among different units: Theoretically, we can get the function of , which tells the temporal concentration of green fluorescence protein (GFP), by simultaneous equations (3.1)(3.2)(3.3). IV. Calculation and Results of the Mathematic Modeli. CalculationLimited by the calculation scale and experimental data, we assume that parameters (except the input and output) of each units are identical. (4.2) Theoretically, we can get the function of , which tells the temporal concentration of green fluorescence protein (GFP), by simultaneous equations (3.1)(3.2)(3.3). |