Team:XMU-China/Project Modelling Intracellularmodel

From 2014.igem.org

(Difference between revisions)
Line 22: Line 22:
z-index: 100;
z-index: 100;
top: 0;
top: 0;
 +
position: fixed;
position: fixed;
width: 975px;  
width: 975px;  
Line 505: Line 506:
<p style="font-family:Arial;font-size:16px;">
<p style="font-family:Arial;font-size:16px;">
     <span style="font-family:Arial;font-size:16px;">β</span><span style="font-family:Arial;font-size:16px;">----- repression coefficient</span><span style="font-family:Arial;font-size:16px;">(</span><math xmlns='http://www.w3.org/1998/Math/MathML'>
     <span style="font-family:Arial;font-size:16px;">β</span><span style="font-family:Arial;font-size:16px;">----- repression coefficient</span><span style="font-family:Arial;font-size:16px;">(</span><math xmlns='http://www.w3.org/1998/Math/MathML'>
 +
<mrow>
 +
  <msub>
 +
  <mtext>&#x03B4;</mtext>
 +
  <mtext>A</mtext>
 +
  </msub>
 +
  </mrow>
 +
</math><math xmlns='http://www.w3.org/1998/Math/MathML'>
  <mrow>
  <mrow>
   <msub>
   <msub>

Revision as of 17:44, 17 October 2014

side_bar

INTRACELLULAR MODEL


The following functions are based on ordinary differential equations with Hill functions that captured the activation and repression of protein synthesis.

The intracellular species included cheZ (C or ZT), LacI (L), L-ara (A), IPTG (I).

Equations as follows[1], [2]:

Parameters:

α----- protein synthesis rate( α C ,  α L )

β----- repression coefficient( δ A β L ,  β I )

γ----- protein decay( γ C ,  γ L )

δ-----activation coefficient()      

m----- transcription factor cooperativity ()    

With above two equations, the relation between stimuli and intracellular is built. With certain concentration of IPTG and L-arabinose, the concentration of cheZ (ZT) will get for the following modeling.


References

1. Song, K. Introduction to Synthetic Biology. Science Press.

2. Liu, C., Fu, X., Liu, L., Ren, X., Chau, C.K.L., Li, S., Xiang, L., Zeng, H., Chen, G.,Tang, L.H., et al. (2011). Sequential establishment of stripe patterns in an expanding cell population. Science 334, 238–241.