How Much Work Does Motor φ29 Need to Overcome Entropy Loss in DNA Packing?

Step 4: Calculate the work done by the motorFinally, we can use the work-energy theorem to calculate the total work that the motor needs to do to overcome the entropy loss. The work done by the motor is equal to the change in energy, which is equal to the change in entropy multiplied by the temperature, ΔW=ΔS*T. We can assume a temperature of 300K for this problem.In summary, to estimate the total work that the motor \phi29 needs to perform to overcome the entropy loss of packing DNA into a capsule with a radius of 20nm, we need to calculate the end-to-end distribution of a 3D random walk with N segments of length a, the volume
  • #1
emoboya3
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0

Homework Statement


Estimate total work that motor [tex]\phi[/tex]29 needs to perform to overcome entropy loss of packing DNA

Homework Equations



P(R,N)=(3/2[tex]\pi[/tex]Na[tex]^{2}[/tex])[tex]^{3/2}[/tex]e[tex]^{(-3R^{2})/(2Na^{2}}[/tex])
This equation gives the end to end distribution or a 3D random walk with N segments length a.

The Attempt at a Solution


I'm not 100% sure where to start on this. I've been trying to figure it out all day, honestly. I know that DNA has a persistence length a[tex]\approx[/tex]100nm because it's fairly rigid over about 300 base pairs. It is therefore modeled as N=65 segments.
I'm not sure where to go from here though. How do I come up with the entropy change by putting the DNA in the capsule?

I planned to model the capsule as a sphere of radius 20nm. Any help on where to go from here?

Thanks
 
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  • #2
for your post and for sharing your thoughts on this problem. It's an interesting and challenging one! Let's see if we can work through it together.

First, let's define some variables to make things a bit clearer. Let's say that R is the radius of the capsule, N is the number of segments in the DNA, and a is the persistence length of the DNA. We can also define the volume of the capsule as V=4/3πR^3. Now, let's break down the problem into smaller steps.

Step 1: Calculate the end-to-end distribution
As you mentioned, the end-to-end distribution of a 3D random walk with N segments of length a is given by the equation P(R,N)=(3/2πNa^2)^3/2e^(-3R^2/2Na^2). This equation gives us the probability of finding the end of the DNA chain at a distance R from the starting point. We can use this equation to calculate the probability of finding the end of the DNA chain at the surface of the capsule, which we can call P(R=Rc,N). This will give us an idea of how much DNA is packed into the capsule.

Step 2: Calculate the volume of the DNA
Now, we need to calculate the volume of the DNA that is packed into the capsule. We can do this by multiplying the number of segments N by the length of each segment a. This will give us the total length of DNA in the capsule, which we can then multiply by the cross-sectional area of the DNA (πa^2) to get the volume. So the volume of DNA in the capsule is VDNA=Nπa^3.

Step 3: Calculate the change in entropy
Next, we need to calculate the change in entropy when we pack the DNA into the capsule. Entropy is a measure of disorder or randomness, and in this case, it is a measure of how much the DNA is confined or restricted in its movement. To calculate the change in entropy, we can use the equation ΔS=kln(W), where k is the Boltzmann constant and W is the number of possible configurations of the DNA. For a 3D random walk, the number of possible configurations is given by W=(2N)!/N!(N+1)!. So we can calculate the change in entropy as ΔS=kln[(2N)!/N!(N+
 

FAQ: How Much Work Does Motor φ29 Need to Overcome Entropy Loss in DNA Packing?

What is entropy in relation to DNA packing?

Entropy is a measure of disorder or randomness in a system. In the context of DNA packing, it refers to the degree of flexibility and variability in the organization of DNA within a cell.

How is entropy in DNA packing estimated?

Entropy in DNA packing can be estimated through various methods, such as mathematical models, computer simulations, and experimental techniques. These methods take into account factors such as DNA sequence, nucleosome positioning, and chromatin structure to calculate the level of disorder in DNA packaging.

Why is it important to estimate entropy in DNA packing?

Estimating entropy in DNA packing is important because it provides insight into how DNA is organized and regulated within cells. It can also help in understanding the impact of changes in DNA packaging on gene expression and cellular processes.

What are some applications of entropy estimation in DNA packing?

Entropy estimation in DNA packing has various applications in fields such as genetics, biotechnology, and medicine. It can be used to study the effects of mutations on DNA packaging, develop new gene therapy techniques, and identify potential targets for drug development.

How accurate are entropy estimates in DNA packing?

The accuracy of entropy estimates in DNA packing depends on the method used and the complexity of the system being studied. While some methods may provide more precise measurements, all estimates should be interpreted with caution and validated through multiple experiments.

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