"
Team:ZJU-China/Modeling/Biobrick
From 2011.igem.org
| Line 185: | Line 185: | ||
<img src="https://static.igem.org/mediawiki/2011/e/e7/Zju_function1-2.png" style="float:right;" alt="function1" /> | <img src="https://static.igem.org/mediawiki/2011/e/e7/Zju_function1-2.png" style="float:right;" alt="function1" /> | ||
</p> | </p> | ||
| + | <p>Where (1) describes transcription, (2) describes translation, and i = 1,…,N. The functions<strong> R_i</strong>(<strong>p_j</strong>) | ||
| + | describe the dependence of mRNA concentration on protein concentration<strong> p_j</strong> (If protein<strong> p_j </strong>has | ||
| + | no effect on mRNA<strong> r_i</strong>, then correspond function is set to zero.) The functional F(·) in (1) is | ||
| + | defined in terms of sums and products of functions <strong>R_i</strong>. Function <strong>P_i</strong> in (2) describes the | ||
| + | translation of the mRNA<strong> r_i </strong>into a protein<strong> p_i</strong>. Parameters<strong> γ_i</strong>, <strong>δ_i</strong> (i = 1,…,N), represent the | ||
| + | degradation parameters of the mRNAs and proteins produced by gene<strong> i</strong>. As is common, we shall | ||
| + | assume that the degradation of proteins or mRNAs is not regulated, namely that it does not | ||
| + | depend on the concentrations of other molecules in the cell. Function <strong>R_i</strong> is assumed to be in the | ||
| + | form of Hill function as usual (since our cases are all inhibitors, we shall denote the Hill function | ||
| + | <strong>h</strong>-(p,K,n)), and the function <strong>P_i</strong> is taken to be a linear term proportional to the concentration of | ||
| + | mRNA <strong>r_i</strong>.</p> | ||
</div> | </div> | ||
<div class="block" id="component"> | <div class="block" id="component"> | ||
Revision as of 10:28, 3 October 2011
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
Modeling|biobrick |
This model is used for simulating the behavior of three genetic circuits we designed
Overview
Modeling
Results
Introduction
abstract:
We will model our gene regulatory networks using Michaelis-Menten enzymatic kinetics,together with the usual rules of reaction kinetics. The resulting models, when spatial
effects are neglected, are given in terms of ordinary differential equations describing the
rate of change of the concentrations of gene products and proteins. A key component of all
these models is the Hill function, used to describe the transcription phase. The presence of
this highly nonlinear function, whilst accurately modeling the network, inevitably leads to
restrictions on the analytical tools available to understand and predict the
dynamics.
Basic concepts and assumptions
The ODE formalism models the concentrations of RNAs, proteins, and other molecules by
time-dependent variables with values contained in the set of nonnegative real numbers.
Regulatory interactions take the form of functional and differential relations between the
concentration variables. For a typical transcription-translation process, the ODEs modeling
approach associates two ODEs with any given gene i; one modeling the rate of change of the
concentration of the transcribed mRNA r_i, and the other describing the rate of change of
the concentration of its corresponding translated protein p_i. Thus for our network with 3
genes we have:
Where (1) describes transcription, (2) describes translation, and i = 1,…,N. The functions R_i(p_j) describe the dependence of mRNA concentration on protein concentration p_j (If protein p_j has no effect on mRNA r_i, then correspond function is set to zero.) The functional F(·) in (1) is defined in terms of sums and products of functions R_i. Function P_i in (2) describes the translation of the mRNA r_i into a protein p_i. Parameters γ_i, δ_i (i = 1,…,N), represent the degradation parameters of the mRNAs and proteins produced by gene i. As is common, we shall assume that the degradation of proteins or mRNAs is not regulated, namely that it does not depend on the concentrations of other molecules in the cell. Function R_i is assumed to be in the form of Hill function as usual (since our cases are all inhibitors, we shall denote the Hill function h-(p,K,n)), and the function P_i is taken to be a linear term proportional to the concentration of mRNA r_i.
...........
....................
..............
...................
.............
.................
