DocumentCode :
573708
Title :
A stable simplification of a fas-signaling pathway model for apoptosis
Author :
Huang, Ya-Jing ; Yong, Wen-An
Author_Institution :
Zhou Pei-Yuan Center for Appl. Math., Tsinghua Univ., Beijing, China
fYear :
2012
fDate :
18-20 Aug. 2012
Firstpage :
125
Lastpage :
134
Abstract :
Apoptosis is important for maintaining normal embryonic development, tissue homeostasis and normal immune-system operation in multicellular organisms. Its malfunction may result in serious diseases such as cancer, autoimmunity, and neurodegeneration. In apoptosis, tens of species are present in many biochemical reactions with times scales of widely differing orders of magnitude. According to the law of mass action, apoptosis is usually described with a large and stiff system of ODEs (ordinary differential equations). The goal of this work is to derive a simple system of ODEs by using the classical PEA (partial equilibrium approximation) method. For this purpose, we firstly justify the mathematical correctness of the PEA in a quite general framework. On the basis of this result, we simplify the Fas-signaling pathway model proposed by Hua et al. (2005) by assuming the fastness of several reversible reactions. Numerical simulations and sensitivity analysis show that our simplification model is reliable.
Keywords :
biochemistry; biological tissues; cellular biophysics; differential equations; diseases; Fas signaling pathway model; apoptosis; autoimmunity; biochemical reaction; cancer; disease; mass action law; multicellular organism; neurodegeneration; normal embryonic development; normal immune system operation; ordinary differential equation; partial equilibrium approximation; reversible reaction; stable simplification; tissue homeostasis; Approximation methods; Biological system modeling; Conferences; Differential equations; Numerical models; Organisms; Systems biology; Apoptosis; partial equilibrium approximation; singular perturbation theory; the principle of detailed balance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Biology (ISB), 2012 IEEE 6th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-4396-1
Electronic_ISBN :
978-1-4673-4397-8
Type :
conf
DOI :
10.1109/ISB.2012.6314124
Filename :
6314124
Link To Document :
بازگشت