Difference between revisions of "Team:HokkaidoU Japan/Modeling"
Line 14: | Line 14: | ||
<P>Here, we would like to think the following system as a mathmatical model; | <P>Here, we would like to think the following system as a mathmatical model; | ||
<ol> | <ol> | ||
− | <li><i>E. coli</i> can produce Ag43 whose | + | <li><i>E. coli</i> can produce Ag43 whose α-domain is replaced with His-tag recombinant antimicrobial peptides</li> |
<li>The antimicrobial peptide constitutively can be secreted through Ag43 system. There is a large amount of AspN in liquid culture and AspN cut the antimicrobial peptide out and it diffuses and outflows in the culture rapidly</li> | <li>The antimicrobial peptide constitutively can be secreted through Ag43 system. There is a large amount of AspN in liquid culture and AspN cut the antimicrobial peptide out and it diffuses and outflows in the culture rapidly</li> | ||
<li> We can purify antimicrobial peptides with His-tag affinity column </li> | <li> We can purify antimicrobial peptides with His-tag affinity column </li> | ||
Line 36: | Line 36: | ||
<P>where c is rate of toxicity of the antimicrobial peptide, e is rate of expression of the antimicrobial peptide f is rate of outflow of the antimicrobial peptide | <P>where c is rate of toxicity of the antimicrobial peptide, e is rate of expression of the antimicrobial peptide f is rate of outflow of the antimicrobial peptide | ||
− | We can take 1 for 3 constants (a, b, c) of the right side in the first formula using the flexibilities of the scale (In scale transformation, e, f will change into | + | We can take 1 for 3 constants (a, b, c) of the right side in the first formula using the flexibilities of the scale (In scale transformation, e, f will change into α, β and N, A into X, Y) <br> |
<div align="center"> | <div align="center"> | ||
Line 42: | Line 42: | ||
</div><br> | </div><br> | ||
− | Here, at arbitrary parameters | + | Here, at arbitrary parameters α and β , find these phase diagram below(Fig. 1).</p> |
<div align="center"> | <div align="center"> | ||
Line 50: | Line 50: | ||
<p class="caption">Fig. 1 phase diagram at arbitrary parameters</p> | <p class="caption">Fig. 1 phase diagram at arbitrary parameters</p> | ||
− | <p>We can expect that the amount of antimicrobial peptides and population of bacteria will be constant at last regardless of parameter | + | <p>We can expect that the amount of antimicrobial peptides and population of bacteria will be constant at last regardless of parameter α and β value. So, we would like to make sure the fixed points of these differential equations is stable or not. |
Let each of differential equations equal to zero, and solve them then we can get the fixed points of these equations </p> | Let each of differential equations equal to zero, and solve them then we can get the fixed points of these equations </p> | ||
Line 58: | Line 58: | ||
− | <P>Define minute displacement as ( | + | <P>Define minute displacement as (δx, δy). the right side in both differential equations as follow.</p> |
<div align="center"> | <div align="center"> | ||
Line 72: | Line 72: | ||
<img src="https://static.igem.org/mediawiki/2015/3/3f/Fomula7_hokkaidoUmodelling.png" style="" class="figure" alt="This is a graph " width="190px", height="auto"> | <img src="https://static.igem.org/mediawiki/2015/3/3f/Fomula7_hokkaidoUmodelling.png" style="" class="figure" alt="This is a graph " width="190px", height="auto"> | ||
</div> | </div> | ||
− | <p>Therefore, we illustrated that amount of AMP and population of bacteria will be constant at last regardless of parameter | + | <p>Therefore, we illustrated that amount of AMP and population of bacteria will be constant at last regardless of parameter α and β value.</p> |
Revision as of 23:51, 18 September 2015
Modeling
Here, we would like to think the following system as a mathmatical model;
- E. coli can produce Ag43 whose α-domain is replaced with His-tag recombinant antimicrobial peptides
- The antimicrobial peptide constitutively can be secreted through Ag43 system. There is a large amount of AspN in liquid culture and AspN cut the antimicrobial peptide out and it diffuses and outflows in the culture rapidly
- We can purify antimicrobial peptides with His-tag affinity column
We want to make sure if we obtain antimicrobial peptides through these system constantly or not.
First, we want to describe the number of host cells growing without toxicity of the peptide as the differential equation. The logistic equation is a model of population growth first published by Pierre Verhulst. The logistic model is described by the following differential equation
where a is a rate of maximum population growth and K is carrying capacity and defining b=a/K then gives the differential equation. Next, we add the term of toxicity of the antimicrobial peptide to this equation and we describe amount of antimicrobial peptides in the second differential equation as follow.
where c is rate of toxicity of the antimicrobial peptide, e is rate of expression of the antimicrobial peptide f is rate of outflow of the antimicrobial peptide
We can take 1 for 3 constants (a, b, c) of the right side in the first formula using the flexibilities of the scale (In scale transformation, e, f will change into α, β and N, A into X, Y)
Here, at arbitrary parameters α and β , find these phase diagram below(Fig. 1).
We can expect that the amount of antimicrobial peptides and population of bacteria will be constant at last regardless of parameter α and β value. So, we would like to make sure the fixed points of these differential equations is stable or not. Let each of differential equations equal to zero, and solve them then we can get the fixed points of these equations
Define minute displacement as (δx, δy). the right side in both differential equations as follow.
Determine eigenvalues of Jacobian matrix in this time and if two eigenvalues are negative, we can find the fixed point stable, if positive we can find the fixed point instable.
The result of calculation isTherefore, we illustrated that amount of AMP and population of bacteria will be constant at last regardless of parameter α and β value.