Imperial/Infector Detector/Modelling

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==Representative Model==
==Representative Model==
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[[Image:IC07 EnergyModel.png|thumb|left|500px|Model 2, an energy-dependent network, where the dependence on energy assumes Hill-like dynamics]]
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[[Image:IC07 EnergyModel.png |thumb|left|500px|Model 2, an energy-dependent network, where the dependence on energy assumes Hill-like dynamics]]
==Simulations==
==Simulations==

Revision as of 00:50, 24 October 2007



Abstract

Infector Detector (ID) is a simple biological detector, which serves to expose bacterial biofilm. It functions by exploiting the inherent AHL (Acetyl Homoserine Lactone) production employed by certain types of quorum-sensing bacteria, in the formation of such structures.
This section presents a preliminary model for an AHL detector, which employs the backbone of the Lux quorum-sensing feedback mechanism. Figure 1 illustrates the full system we are investigating.

In the design phase, two possible system constructs were proposed, as a solution to the problem of detecting AHL-producing biofilm. According to our specifications, the most crucial feature of this system is the sensitivity to a minimum [AHL] of 5nm. In other words, this represents the minimal AHL concentration for appreciable expression of a chosen reporter protein. Furthermore, we attempt to establish a functional range for possible AHL detection. How does increased AHL concentration impact on the maximal output of reporter protein? Finally, how can the system performance be tailored, by exploiting possible inputs to the system (e.g. varying initial LuxR concentration and/or concentration of pLux promoters). In performing such customization, what is the impact upon the maximal output of fluorescent reporter protein and/or response time?

We attempt to answer these questions by conducting a simulation of the system in-silico.

Implementation & Reaction Network

Construct 1

Construct 2


Representative Model

Model 2, an energy-dependent network, where the dependence on energy assumes Hill-like dynamics

Simulations

Sensitivity Analysis?

Conclusions

<< Design | Modelling | Implementation >>