Team:Stanford/Research/Modeling

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(Kinase/Phosphatase System)
(Kinase/Phosphatase System)
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So, the fraction of modified substrate is a saturating function of the ratio of inputs.  The half-max value is the ratio of the strengths of the two enzymes.  The linear regime of this function exists where
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which is the equation for a Michaelis-Menten-shaped curve
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[[Image:Langmuir.JPG]]
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and the fraction of unmodified substrate is a linear function of the ratio of inputs,
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So, the fraction of modified substrate is a saturating function of the ratio of inputs, the half-max value is the ratio of the strengths of the two enzymes, and the fraction of unmodified substrate is a linear function of the ratio of inputs,
[[Image:6thblock.JPG|center]]
[[Image:6thblock.JPG|center]]
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which is the equation for a Michaelis-Menten-shaped curve
 
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[[Image:Langmuir.JPG]]
 
We now know that the requirements for this analog ratio sensor are  
We now know that the requirements for this analog ratio sensor are  

Revision as of 03:23, 28 October 2010

Goals

Our intuition for what makes a good ratio sensor could only take us so far. From the very first stages of design, we wanted to back up and test our ideas with mathematical tools. Luckily, we found that solving the equations of mass action kinetics at steady-state was enough to give us clear design criteria. We present the mathematical basis for sensors that are capable of sensing a single ratio digitally, or many ratios in an analog fashion.

Kinase/Phosphatase System

Throughout this derivation, we refer to Goldbeter and Koshland's seminal work on the kinetics of emzyme pairs [1]. For an opposing pair of enzymes X and Y modifying and unmodifying a substrate Z with modification p,

MainGBK.JPG

From Michaelis-Menten kinetics we know that the rate at which Zp is dephosphorylated is

R1.JPG [2]

and the rate at which Z is phosphorylated is

R2.JPG [2]

We also know that Z can be modified an unmodified, but its total is conserved: [Z]o = [Zp] + [Z]

At steady state, modification and unmodification rates are equal, leading us to

1stblock.JPG [2]

where

2nd block.JPG [2]


Rearranging gives

3rdblock.JPG

Now, assume that the two opposing enzymes are nowhere near being saturated with substrate:

4thblock.JPG

which is the equation for a Michaelis-Menten-shaped curve

Langmuir.JPG

So, the fraction of modified substrate is a saturating function of the ratio of inputs, the half-max value is the ratio of the strengths of the two enzymes, and the fraction of unmodified substrate is a linear function of the ratio of inputs,

6thblock.JPG

We now know that the requirements for this analog ratio sensor are

  1. Consistent relationships between inputs and enzyme activities (non-trivial)
  2. A non-saturating amount of substrate

But what happens if we disobey requirement 1? Let's increase the amount of substrate to saturation so that

7thblock.JPG
8thblock.JPG

When the enzymes are saturated, the only steady-state solution is v1 = v2. Any ratio of v1/v2 below this, and all the substrate becomes modified. Any ratio above and all the substrate becomes unmodified. Simply by changing the concentration of substrate, we have converted our analog ratio sensor to a digital ratio sensor.

The requirements for this digital ratio sensor are:

  1. Consistent relationships between inputs and enzyme activities (non-trivial)
  2. An amount of substrate sufficient to saturate both opposing enzymes

References

[1] [http://www.ncbi.nlm.nih.gov/pubmed/6947258 Goldbeter A, Koshland DE Jr.: An amplified sensitivity arising from covalent modification in biological systems. PNAS. 1981 Nov;78(11)6840-4.]

[2] [http://en.wikipedia.org/wiki/Goldbeter-Koshland_kinetics Goldbeter-Koshland kinetics In Wikipedia. Retrieved July 13, 2010, from http://en.wikipedia.org/wiki/Goldbeter-Koshland_kinetics]