Modeling and simulation in signal transduction pathways: a systems biology approach

Authors
Babu, CVSSong, EJYoo, YS
Issue Date
2006-03
Publisher
ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
Citation
BIOCHIMIE, v.88, no.3-4, pp.277 - 283
Abstract
Modeling, the heart of systems biology, of complex processes (example: signal transduction) is a wide scientific discipline where many approaches from different areas are confronted with the aim of better understanding, identifying and modeling of complex data coming from various sources. The purpose of this paper is to introduce the basic steps of systems biology view towards signaling pathways. which mainly deals with the computational tools. The paper emphasizes the modeling and simulation approach in the signal transduction pathways using the topologies of the biochemical reactions with an overview of the different types of software platforms. Finally. we demonstrated the epidermal growth factor receptor signaling pathway model as an example to study the growth factor mediated signaling system with biological experiments. This paper will enables new comers to underline the strengths of the computational approaches towards signal transduction, as well as to highlight the systems biology research directions. (c) 2005 Elsevier SAS. All rights reserved.
Keywords
EPIDERMAL-GROWTH-FACTOR; MATHEMATICAL-MODEL; IFN-GAMMA; MECHANISM; RECEPTORS; NETWORKS; DYNAMICS; EPIDERMAL-GROWTH-FACTOR; MATHEMATICAL-MODEL; IFN-GAMMA; MECHANISM; RECEPTORS; NETWORKS; DYNAMICS; biological systems; signal transduction; systems biology; modeling and simulation
ISSN
0300-9084
URI
https://pubs.kist.re.kr/handle/201004/135678
DOI
10.1016/j.biochi.2005.08.006
Appears in Collections:
KIST Article > 2006
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