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Team:Peking/Modeling
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| - | Our <i>Luminesensor</i> is a ultra-sensitive fusion protein to sense 450nm to 470nm light and then regulate the gene expression.(<a href="/Team:Peking/Project/Luminesensor/Future#FigS">spectrum data here</a>) Although <i>Luminesensor</i> excels and eclipses similar systems due to its ultra-sensitivity and dynamic range, there are still several imperfect aspects. For example, the response time of the protein can be up to hours<sup><a href="#ref1" title="Zoltowski, B.D., Crane, B.R.(2008). Light Activation of the LOV Protein Vivid Generates a Rapidly Exchanging Dimer. Biochemistry, 47: 7012: 7019">[1]</a></sup> and the contrast of binding efficiency with and without light has much room for improvement. After modeling the DNA binding process of <i>Luminesensor</i>, we managed to find out four key parameters, two of which mainly control the response time, and the others control the contrast of binding efficiency. According to the feasibility in experiment, we tuned two most facile parameters of each aspect to optimize the performance of <i>Luminsensor</i>, and later figured out mutation sites related to these two parameters experimentally. | + | Our <i>Luminesensor</i> is a ultra-sensitive fusion protein to sense 450nm to 470nm light and then regulate the gene expression.(<a href="/Team:Peking/Project/Luminesensor/Future#FigS">spectrum data here</a>) Although <i>Luminesensor</i> excels and eclipses similar systems due to its ultra-sensitivity and dynamic range, there are still several imperfect aspects. For example, the response time of the protein can be up to hours<sup><a href="#ref1" title="Zoltowski, B.D., Crane, B.R.(2008). Light Activation of the LOV Protein Vivid Generates a Rapidly Exchanging Dimer. Biochemistry, 47: 7012: 7019">[1]</a></sup> and the contrast of binding efficiency with and without light has much room for improvement. After modeling the DNA binding process of <i>Luminesensor</i>, we managed to find out four key parameters, two of which mainly control the response time, and the others control the contrast of binding efficiency. According to the feasibility in experiment, we tuned two most facile parameters of each aspect to optimize the performance of <i>Luminsensor</i>, and later figured out mutation sites related to these two parameters experimentally.<br /><br /> |
| + | Furthermore, in order to extend the application of <i>Luminsensor</i>, we managed to expand the spectrum of <i>Luminsensor</i> through model. Here we use Molecular Modeling to identify the potential possiblity to substitude modified | ||
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Revision as of 01:52, 27 September 2012
Summary
Our Modeling group conducted modeling to guide the optimization of our Luminesensor, combining protein kinetics, thermodynamics, and stochastic simulation with molecular docking methods together. Thereby the mutagenesis is indeed rationally guided by our modeling prediction, and experimental results excellently correspond to the model! We also used Molecular Modeling to expand the spectrum of Luminesensor, which would greatly extend its application. Additionally, we simulated the process of Phototaxis both on the macro level -- Mean-field PDE (partial difference equations) and on the micro level -- Stochastic Simulation. In the PDE model, we developed a hexagonal-coordinate simulation environment for dynamic system on a continuous plane, which would be a very useful prototype for future simulation on cellular movement, pattern formation and other potential systems.
Luminesensor Modeling
Our Luminesensor is a ultra-sensitive fusion protein to sense 450nm to 470nm light and then regulate the gene expression.(spectrum data here) Although Luminesensor excels and eclipses similar systems due to its ultra-sensitivity and dynamic range, there are still several imperfect aspects. For example, the response time of the protein can be up to hours[1] and the contrast of binding efficiency with and without light has much room for improvement. After modeling the DNA binding process of Luminesensor, we managed to find out four key parameters, two of which mainly control the response time, and the others control the contrast of binding efficiency. According to the feasibility in experiment, we tuned two most facile parameters of each aspect to optimize the performance of Luminsensor, and later figured out mutation sites related to these two parameters experimentally.
Furthermore, in order to extend the application of Luminsensor, we managed to expand the spectrum of Luminsensor through model. Here we use Molecular Modeling to identify the potential possiblity to substitude modified
Phototaxis Modeling
Phototaxis is a light-control bio-system, whose input is the space-distribution of light. By comparison with chemotaxis system, phototaxis has much advantages for application.(see Phototaxis Page in Project) We have constructed a simple phototaxis system coupling our Luminesensor with the expression level of cheZ protein. In order to confirm the macro light-control to our phototaxis system, we used the Mean-field PDE model. Later we managed to confirm these phenomena by tracing each cells in a micro way. We then did the related experiments to prove the effect of light in this simple system.
On the way to the simulation of the macro population changing process, we developed a hexagonal-coordinate simulation environment for dynamic system on a continuous plane. Since the neighbors of a chunk unit in the hexagonal mesh are better than the traditional quadratic mesh in quantity, the hexagonal mesh is closer to an isotropic grid, which would reduce the problems caused by anisotropic mesh. This simulation environment would be a useful prototype for future simulation of 2D dynamic system.
Reference
- 1. Zoltowski, B.D., Crane, B.R.(2008). Light Activation of the LOV Protein Vivid Generates a Rapidly Exchanging Dimer. Biochemistry, 47: 7012: 7019
