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

被引:18
作者
Babu, CVS
Song, EJ
Yoo, YS
机构
[1] Korea Inst Sci & Technol, Bioanal & Biotransformat Res Ctr, Seoul 130650, South Korea
[2] Univ Sci & Technol, Korea Inst Sci & Technol, Int R&D Acad, Seoul 130650, South Korea
关键词
biological systems; signal transduction; systems biology; modeling and simulation;
D O I
10.1016/j.biochi.2005.08.006
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:277 / 283
页数:7
相关论文
共 56 条
[41]   Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptors [J].
Schoeberl, B ;
Eichler-Jonsson, C ;
Gilles, ED ;
Müller, G .
NATURE BIOTECHNOLOGY, 2002, 20 (04) :370-375
[42]  
Shvartsman SY, 2002, DEVELOPMENT, V129, P2577
[43]   Autocrine, paracrine and juxtacrine signaling by EGFR ligands. [J].
Singh, AB ;
Harris, RC .
CELLULAR SIGNALLING, 2005, 17 (10) :1183-1193
[44]   Computational cell biology: Spatiotemporal simulation of cellular events [J].
Slepchenko, BM ;
Schaff, JC ;
Carson, JH ;
Loew, LM .
ANNUAL REVIEW OF BIOPHYSICS AND BIOMOLECULAR STRUCTURE, 2002, 31 :423-441
[45]   The Silicon Cell initiative: working towards a detailed kinetic description at the cellular level [J].
Snoep, JL .
CURRENT OPINION IN BIOTECHNOLOGY, 2005, 16 (03) :336-343
[46]   Mathematical modeling of the regulation of caspase-3 activation and degradation [J].
Stucki, JW ;
Simon, HU .
JOURNAL OF THEORETICAL BIOLOGY, 2005, 234 (01) :123-131
[47]   Space in systems biology of signaling pathways - towards intracellular molecular crowding in silico [J].
Takahashi, K ;
Arjunan, SNV ;
Tomita, M .
FEBS LETTERS, 2005, 579 (08) :1783-1788
[48]   Stochastic approaches for modelling in vivo reactions [J].
Turner, TE ;
Schnell, S ;
Burrage, K .
COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2004, 28 (03) :165-178
[49]   Systems biology . . . in action [J].
Westerhoff, HV .
CURRENT OPINION IN BIOTECHNOLOGY, 2005, 16 (03) :326-328
[50]   The role of epidermal growth factor and its receptors in mammalian CNS [J].
Wong, RWC ;
Guillaud, L .
CYTOKINE & GROWTH FACTOR REVIEWS, 2004, 15 (2-3) :147-156