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Revision as of 12:53, 12 October 2010

Combined Model

Combined model. Coupled individual models for the simulation of the whole process and their interfaces. The concentration of CheYp determines the movement bias.

Interface

To combine light switch, chemotaxis and movement models, interfaces were defined. The combination was achieved in two steps:

• First, the deterministic light switch and chemotaxis models were combined by assuming a complete removal of a selected Che protein species by the light switch. The interface was defined as the concentration ([LSP-Che]) of this linked device.

• Second, the probabilistic movement model was combined with the light switch - chemotaxis model. To combine this models, the bias of CheYp was used to be the input parameter of the movement model; determining the probability of straight run / tumbling.

Combined model. Coupled individual models for the simulation of the whole process and their interfaces.

Assumptions

Schematical overview on the chemotactical pathway. MCPs refers to the membrane receptor proteins and Che are the intracellular chemotactical proteins.

The following assumptions have been made according to the molecular mechanism to link the light switch and chemotaxis models:

Upon red light pulse induction, the two light-sensitive proteins dimerize and thus the coupled Che protein is spatially dislocated. This means,

• CheR is not able to methylate the MCPs anymore,
• CheY can't be phosphorylated and interact with the motor anymore; nevertheless, it still can be dephosphorylated.

Since CheB and CheZ regulate the chemotactic receptor pathway inverse compared to CheR and CheY, they repress tumbling

• CheB is not able to demethylate the MCPs and can't be phosphorylated anymore, but still can be dephosphorylated,
• CheZ can't dephosphorylate CheY anymore (This assumption is very unsteady, since CheY is not strictly located).

All of these assumptions will lead to a decrease of tumbling / directed movement ratio upon red light induction and an increase of corresponding far-red light induction.

Challenges

The combination of the deterministic and probabilistic models was the biggest challenge in combining the models. The problem of different step-size could be solved by combination via Simulink and independent numerical integration of the two model types.

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