# BME494s2013 Project Template

### From OpenWetWare

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- | ''' | + | '''A LAC SWITCH MODEL''' |

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- | <!-- | + | We used a previously published synthetic switch, developed by Ceroni et al., to understand how our system could potentially be modeled and simulated. |

+ | <!-- Continue this paragraph by explaining to a non-specialist what a mathematical model is and what parameter values are, in general. Include your network diagram illustration of the Ceroni et al. model and list all of the parameters you were able to map onto the model --> | ||

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+ | '''AN INTERACTIVE MODEL''' | ||

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- | ''' | + | We used a model of the natural Lac operon to understand how changing the parameter values changes the behavior of the system. |

+ | <!-- Continue this paragraph by explaining how you interacted with the MatLab model. Include two or more images showing different output curves that were generated when you altered the IPTG concentration --> | ||

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+ | '''COLLECTING IMPERICAL VALUES TO IMPROVE THE MODEL''' | ||

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- | <!-- | + | We explored how one technique, imaging via microscopy could be used to determine the production rate of an output protein, in this case GFP in yeast, could be used to determine a "real" value for maximum GFP production rate under our own laboratory conditions. |

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+ | <!-- Describe summarize how you measured GFP intensities, plotted charts in MatLab, make a curve of best fit, and tried to determine the maximum rate of GFP production. You don't have to include your raw values, just the graphs and equations. You may include some small images of the GFP-expressing yeast. If you didn't get a nice peak, explain how your image analysis might be changed to improve your outcome. --> | ||

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- | + | Ideally, the GFP production rate measured by this method could be entered as a value for [which parameter] in the Ceroni et al. model. | |

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- | + | '''CONCLUSION''' | |

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## Revision as of 18:07, 22 April 2013

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