Team:Paris/Network analysis and design/Core system/Model construction/Detailed justification

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We shall present here a more detailed presentation of the choice we made as far as our model is concerned
We shall present here a more detailed presentation of the choice we made as far as our model is concerned
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= Sum effect and linear modelling =
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* Yet, the flagella gene network has been thoroughly studied in [[Team:Paris/Network_analysis_and_design/Core_system/Model_construction#Bibliography|[1]]]. We used two major results presented in this study. Firstly, Shiraz Kalir and Uri Alon came up with the fact that the promoters of class 2 genes, among which fliL, flgA and flhB, behaved like SUM-gate functions with flhDC and fliA inputs. Secondly, their experiments proved that these influences could be considered as linear. Thus the following model:
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[[Image:Promoter_Activity.jpg|center]]
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β and β’ represent the relative influence of flhDC and fliA respectively, the units of β and β’ being time<sup>-1</sup>.
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* Furthermore, they came up with numerical values of β and β’ for each gene, which fitted quite well to their experiments. We then decided that we could use those values as well in our model.
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= Normalization =
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= Parameters table =
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= Bibliography =

Revision as of 15:00, 25 October 2008


Detailed justification


We shall present here a more detailed presentation of the choice we made as far as our model is concerned

Contents

Sum effect and linear modelling

  • Yet, the flagella gene network has been thoroughly studied in [1]. We used two major results presented in this study. Firstly, Shiraz Kalir and Uri Alon came up with the fact that the promoters of class 2 genes, among which fliL, flgA and flhB, behaved like SUM-gate functions with flhDC and fliA inputs. Secondly, their experiments proved that these influences could be considered as linear. Thus the following model:


Promoter Activity.jpg


β and β’ represent the relative influence of flhDC and fliA respectively, the units of β and β’ being time-1.

  • Furthermore, they came up with numerical values of β and β’ for each gene, which fitted quite well to their experiments. We then decided that we could use those values as well in our model.

Normalization

Parameters table

Bibliography

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