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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 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. . |