Team:Wash U/Modelling

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Latest revision as of 22:24, 6 July 2009

Modeling the Gene Regulatory Network

Our group seeks to assess the optimality of the synthetic system that modulates pucBA gene expression and LH2 complex assembly in Rhodobacter sphaeroides. Here we employ a mathematical model of this system to generate predictions about the behavior of the active system in response to light input. Features of the system that the model may help investigate include the time scale of response to light signals, the robustness of the system in response to fluctuations in light intensity, and the translation between changes in gene expression and the absorbance spectrum of the engineered cells.

pucBA Expression Model Diagram

pucBA Model Reactions

References

1. Alon, Uri. Introduction to systems biology and the design principles of biological networks. Boca Raton, FL: Chapman & Hall, 2006.
2. Bower, James M. Computational Modeling of Genetic and Biochemical Networks (Computational Molecular Biology). New York: M.I.T. PRESS, 2001.
3. System modeling in cellular biology from concepts to nuts and bolts. Cambridge, MA: MIT P, 2006.

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 == Modeling the Gene Regulatory Network ==
-Our group seeks to assess the optimality of the synthetic system that modulates pucBA gene expression and LH2 complex assembly in ''Rhodobacter sphaeroides''.  A mathematical model of this system generates predictions about the behavior of the active system in response to light input. Features of the system that the model can help investigate include the time scale of response to light signals, the robustness of the system in response to fluctuations in light intensity, and the translation between changes in gene expression and the absorbance spectrum of the engineered cells.
+Our group seeks to assess the optimality of the synthetic system that modulates pucBA gene expression and LH2 complex assembly in ''Rhodobacter sphaeroides''.  Here we employ a mathematical model of this system to generate predictions about the behavior of the active system in response to light input. Features of the system that the model may help investigate include the time scale of response to light signals, the robustness of the system in response to fluctuations in light intensity, and the translation between changes in gene expression and the absorbance spectrum of the engineered cells.
 <br>
@@ Line 18: / Line 18: @@
 <br>
+=== References ===
+.  Alon, Uri. <u>Introduction to systems biology and the design principles of biological networks</u>. Boca Raton, FL: Chapman & Hall, 2006.
+<br>
+.  Bower, James M. <u>Computational Modeling of Genetic and Biochemical Networks (Computational Molecular Biology).</u> New York: M.I.T. PRESS, 2001.
+<br>
+. <u>System modeling in cellular biology from concepts to nuts and bolts.</u> Cambridge, MA: MIT P, 2006.
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