Team:ZJU-China/Modeling/Biobrick

From 2011.igem.org

(Difference between revisions)
Line 164: Line 164:
     <h3><font color="white">Introduction</font></h3>
     <h3><font color="white">Introduction</font></h3>
     <hr/>
     <hr/>
-
     <p id="intro"><strong>abstract:</strong>.................................</p>
+
     <p id="intro"><strong>abstract:</strong><br/>&nbsp;&nbsp;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.</p>
<div class="block" id="compartment">
<div class="block" id="compartment">

Revision as of 10:12, 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

 Introduction | Model | Simulation 

This model is used for simulating the behavior of three genetic circuits we designed

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.

..........

.................

...........

....................

..............

...................

.............

.................


Retrieved from "http://2011.igem.org/Team:ZJU-China/Modeling/Biobrick"