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Team:IPN-UNAM-Mexico/Results
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Later, we wanted to recreate the generation of a pattern from its very biochemical basis to be able to predict under what conditions the pattern would form and how it would be, so we described all the biochemical steps involved in our network (form transcription to complexes formation) by constructing a kinetic model with parameters available in the literature. From this kinetic model we derived our ordinary differential equations and used it to make a spatial simulation of the behavior of a colony, predicting the formation of some kind of instability but not yet a spatiotemporal pattern. | Later, we wanted to recreate the generation of a pattern from its very biochemical basis to be able to predict under what conditions the pattern would form and how it would be, so we described all the biochemical steps involved in our network (form transcription to complexes formation) by constructing a kinetic model with parameters available in the literature. From this kinetic model we derived our ordinary differential equations and used it to make a spatial simulation of the behavior of a colony, predicting the formation of some kind of instability but not yet a spatiotemporal pattern. | ||
| - | Even when there was no explicit pattern formation on the detailed model, we did obvserve it in our simulation of the general model of activator-inhibitor; so we will explore in the future other approaches to figer out if the predictions of this model are conclusive or not, like stochastic approaches. | + | Even when there was no explicit pattern formation on the detailed model, we did obvserve it in our simulation of the general model of activator-inhibitor; so we will explore in the future other approaches to figer out if the predictions of this model are conclusive or not, like stochastic approaches. And we will also have to compare these results with the experimental results that we will obtain with the fully implemented system. |
==[[Image:Month-icon.png | 50px]]Lab results== | ==[[Image:Month-icon.png | 50px]]Lab results== | ||
Revision as of 23:45, 21 October 2009
Preliminary results
Modelling results
We believe the modelling part of our project is a very strong component of it. First of all, the system was designed to fulfill the requirements of a theoretical proposal by A. Turing of a reaction-diffusion model on morphogenesis, more specifically an activator-inhibitor system. These requirements were checked by calculating and using the diffusive properties of the components involved (AHLs) in our system on the Geirer and Meihnardt model of activator-inhibitor, successfully predicting the generation of patterns in our design.
Later, we wanted to recreate the generation of a pattern from its very biochemical basis to be able to predict under what conditions the pattern would form and how it would be, so we described all the biochemical steps involved in our network (form transcription to complexes formation) by constructing a kinetic model with parameters available in the literature. From this kinetic model we derived our ordinary differential equations and used it to make a spatial simulation of the behavior of a colony, predicting the formation of some kind of instability but not yet a spatiotemporal pattern.
Even when there was no explicit pattern formation on the detailed model, we did obvserve it in our simulation of the general model of activator-inhibitor; so we will explore in the future other approaches to figer out if the predictions of this model are conclusive or not, like stochastic approaches. And we will also have to compare these results with the experimental results that we will obtain with the fully implemented system.
Lab results
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Final Conclusions
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Further work
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