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| + | The red curve is nearly half times wider than the green curve. It follows that standard deviation of red curve is greater thus the probability of contact (CAI-1 with Fusion kinase) is nearly half as compared to the probability of rest of reaction. To understand this consider an example of biscuits. Red curve shows each a biscuit made is different to the other produced under same conditions whereas green curve shows that the probability of two biscuits to be same is high. | ||
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Revision as of 23:15, 28 October 2008
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Let us consider the probability of CAI-1 interacting with our fusion kinase with a reaction rate k, diffusion rates D1 and D2 and they start at a distance d apart at the beginning of the time interval  The reaction between two diffusing particles can be considered to take place in two steps. First the encounter of CAI-1 with Fusion kinase and second the actual reaction of passing protein to response regulatory receptor. If we let CAI-1 as entity A and fusion kinase as entity B then the rate of reaction can given as:
 is the probability of interaction between CAI-1 and Fusion Kinase.
 is the reaction once CAI-1 has interacted with Fusion Kinase.
This interaction will follow the law of diffusion and if we let the process under consideration as Poisson process, the probability can be given as: 
To find the probability of rest of reaction i.e. from activation of UvrY till the shining of our protein we can use the Gaussian Distribution, which can be given as: 
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The red curve is nearly half times wider than the green curve. It follows that standard deviation of red curve is greater thus the probability of contact (CAI-1 with Fusion kinase) is nearly half as compared to the probability of rest of reaction. To understand this consider an example of biscuits. Red curve shows each a biscuit made is different to the other produced under same conditions whereas green curve shows that the probability of two biscuits to be same is high. . |
