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Team:Valencia UPV/Modeling/overview
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| - | < | + | <div style="width: 500px; height: 100px; background-color: #FFDAB9;"><a class="normal-link-page" href="https://2014.igem.org/Team:Valencia_UPV/Modeling/fba">Metabolic pathway Static modeling</a></div><br/><br/> |
Pheromones production rates are estimated when the system is in stationary state with an FBA (Flux Balance Analysis). This can be useful to know about the amount of pheromone that can be produced by the synthetic plant during a certain period of time, once the system has ended its transitory levels of pheromone production.<br/><br/> | Pheromones production rates are estimated when the system is in stationary state with an FBA (Flux Balance Analysis). This can be useful to know about the amount of pheromone that can be produced by the synthetic plant during a certain period of time, once the system has ended its transitory levels of pheromone production.<br/><br/> | ||
Revision as of 17:45, 6 October 2014
The modeling of this project encompasses three main approaches, each of them with the goal to predict the behavior of our system from different perspectives:
Pheromones production rates are estimated when the system is in stationary state with an FBA (Flux Balance Analysis). This can be useful to know about the amount of pheromone that can be produced by the synthetic plant during a certain period of time, once the system has ended its transitory levels of pheromone production.
Metabolic pathway Dynamic modeling
The transitory effects that can’t be analyzed with the FBA are modeled in terms of gene expression. The pheromone production is given through the enzymatic action on the metabolic pathway a posteriori. This would let us to know about the relevant species evolution in a timeframe.
The switch is included in this part, since it is involved in the gene expression modeling.
Pheromone diffusion through the crop field and moth response
The analysis of the pheromones diffusion through the air in the field is interesting and useful to determine the following interrelated aspects. In order to achieve the mating disrupting among moths: the amount of pheromone per unit of time that our synthetic plant would has to release, how many of them are required, and how they must be intercropped.
With this aim in view, pheromone dispersion and moth behavior in presence of these additional continuously-emitting pheromone sources, are modeled.
