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=Anti-Inflammatory Device= | =Anti-Inflammatory Device= | ||
- | + | ==The IPP-->B-carotene-->RA Model== | |
[[Image:IPP_RA Model.jpg|600px|center|Fig 2.1 A quick sketch of the IPP-->RA process]] | [[Image:IPP_RA Model.jpg|600px|center|Fig 2.1 A quick sketch of the IPP-->RA process]] | ||
<center>Fig 2.1 A quick sketch of the IPP-->RA process</center> | <center>Fig 2.1 A quick sketch of the IPP-->RA process</center> | ||
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<br> | <br> | ||
- | ==Modeling on the production of B-carotene== | + | ===Modeling on the production of B-carotene=== |
<br>The process of IPP producing B-carotene is quite complex, as shown in the Fig 2.2. | <br>The process of IPP producing B-carotene is quite complex, as shown in the Fig 2.2. | ||
<br>In this process, we basically care about two main issues: | <br>In this process, we basically care about two main issues: | ||
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# Velocity of the whole process | # Velocity of the whole process | ||
- | + | ====Yield output of B-carotene==== | |
We found the B-carotene distribution in yeast in [1]. Below is an important form as to the issue.<br> | We found the B-carotene distribution in yeast in [1]. Below is an important form as to the issue.<br> | ||
[[Image:B-caro distribution.jpg|800px|center]] | [[Image:B-caro distribution.jpg|800px|center]] | ||
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<br>Basically, using the cluster of "YB/I/E I", in the final product of caronoids, we get 68% of B-carotene, highest percentage in the paper. (Also 29% Phytoene, and 3% Neurosporene.) "YB/I/E tHMG1 I", producing 52% of B-carotene, might be another choice. | <br>Basically, using the cluster of "YB/I/E I", in the final product of caronoids, we get 68% of B-carotene, highest percentage in the paper. (Also 29% Phytoene, and 3% Neurosporene.) "YB/I/E tHMG1 I", producing 52% of B-carotene, might be another choice. | ||
- | + | ====Production rate of B-carotene==== | |
As this is a really long process....Basically, the velocity is mainly dependent on the most time-consuming reaction in the whole chain. Thus, Leon and I looked for the kcat values of different enzymes in the procedure, as shown in the cart below:<br> | As this is a really long process....Basically, the velocity is mainly dependent on the most time-consuming reaction in the whole chain. Thus, Leon and I looked for the kcat values of different enzymes in the procedure, as shown in the cart below:<br> | ||
[[Image:B-caro para.jpg|800px|center]] | [[Image:B-caro para.jpg|800px|center]] | ||
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[[Image:velocity of B-caro production.jpg|800px|left]] | [[Image:velocity of B-caro production.jpg|800px|left]] | ||
- | ==Modeling on the B-carotene-->RA process== | + | ===Modeling on the B-carotene-->RA process=== |
The production of RA is mainly based on a chain of two catalyzed reactions, as shown in the graph below:<br> | The production of RA is mainly based on a chain of two catalyzed reactions, as shown in the graph below:<br> | ||
[[Image:B-caro_RA.jpg|400px|center]] | [[Image:B-caro_RA.jpg|400px|center]] | ||
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<center>Form 2.3 Parameters used in the B-carotene-->RA model</center> | <center>Form 2.3 Parameters used in the B-carotene-->RA model</center> | ||
- | ==Simulation and Analysis== | + | ===Simulation and Analysis=== |
*Equations for the IPP-->RA process: | *Equations for the IPP-->RA process: | ||
[[Image:IPP_RA equation.jpg|750px]] | [[Image:IPP_RA equation.jpg|750px]] | ||
- | ==References== | + | ===References=== |
[1] High-Level Production of Beta-Carotene in Saccharomyces cerevisiae by Successive Transformation with Carotenogenic Genes from Xanthophyllomyces dendrorhous. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, July 2007, p. 4342–4350<br> | [1] High-Level Production of Beta-Carotene in Saccharomyces cerevisiae by Successive Transformation with Carotenogenic Genes from Xanthophyllomyces dendrorhous. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, July 2007, p. 4342–4350<br> | ||
Revision as of 04:01, 20 October 2009
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<center>
Our modeling team consisted of Leon Lin and Mary Yang.
Contents |
Goal
- To model and optimize the kinetics of these devices.
- Population dynamics: analyze the conditions to switch between Th17 and Tregs.
- To predict the results of experiments which we could not perform in the lab
Anti-Inflammatory Device
The IPP-->B-carotene-->RA Model
<center>Fig 2.1 A quick sketch of the IPP-->RA process</center>
The process above can be devided into two procedures:
- IPP*8-->B-carotene
- B-carotene(+Blh)-->Retinal(+RalDH)-->Retinoic Acid
Modeling on the production of B-carotene
The process of IPP producing B-carotene is quite complex, as shown in the Fig 2.2.
In this process, we basically care about two main issues:
- Yield output of B-carotene ([B-carotene]/[All Caronoids]).
- Velocity of the whole process
Yield output of B-carotene
We found the B-carotene distribution in yeast in [1]. Below is an important form as to the issue.
<center>Form 2.1 B-carotene distribution [1]</center>
Basically, using the cluster of "YB/I/E I", in the final product of caronoids, we get 68% of B-carotene, highest percentage in the paper. (Also 29% Phytoene, and 3% Neurosporene.) "YB/I/E tHMG1 I", producing 52% of B-carotene, might be another choice.
Production rate of B-carotene
As this is a really long process....Basically, the velocity is mainly dependent on the most time-consuming reaction in the whole chain. Thus, Leon and I looked for the kcat values of different enzymes in the procedure, as shown in the cart below:
<center>Form 2.2 Paremeters in the IPP-->B-carotene model. (Source: mostly from Brenda)</center>
Apparently, cyclization of Lycopene is the slowest reaction, as the concentration of enzymes are approximately in the same level.
Modeling on the B-carotene-->RA process
The production of RA is mainly based on a chain of two catalyzed reactions, as shown in the graph below:
<center>Fig 2.3 The production of RA</center>
Neither Retinal nor RA has any other degrading process in E.coli. Degrading rate of B-carotene is 9.769e-9 s^-1. Other paremeters we use in this model are shown in the form below:
<center>Form 2.3 Parameters used in the B-carotene-->RA model</center>
Simulation and Analysis
- Equations for the IPP-->RA process:
References
[1] High-Level Production of Beta-Carotene in Saccharomyces cerevisiae by Successive Transformation with Carotenogenic Genes from Xanthophyllomyces dendrorhous. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, July 2007, p. 4342–4350
- NO->SoxS-SoxR Model
Anti-Immunosuppresion Device
Models of the Tryptophan System
Wild Type Model Ignoring Cooperativity
Base on the fitting to Fig 1 from Reference [2], we came to the result kT=1.62e4 molecules/cell. While the kT measured by Schmitt et al. (1995) is 1.97e4 molecules/cell. The figure below shows the result of our fitting, and the comparison to standard kT value.
Thus, it is reasonable to calculate k_T values for trp with mutant repressor, 5MT with wildtype repressor, and MT with mutant repressor.
Wild Type Model Including Cooperativity
</center>
File:Project Overview.jpg