Current challenges in quantitative modeling of epidermal growth factor signaling

被引:25
作者
Breitling, R
Hoeller, D
机构
[1] Univ Groningen, Groningen Bioinformat Ctr, NL-9751 NN Haren, Netherlands
[2] Goethe Univ Frankfurt, Inst Biochem 2, Sch Med, D-6000 Frankfurt, Germany
来源
FEBS LETTERS | 2005年 / 579卷 / 28期
关键词
epidermal growth factor; computational modeling; systems biology;
D O I
10.1016/j.febslet.2005.10.034
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
Over the last decade, epidermal growth factor (EGF) signaling has been used repeatedly as a testbed for pioneering computational systems biology. Recent breakthroughs in our molecular understanding of EGF signaling pose new challenges for mathematical modeling strategies. Three key areas emerge as particularly relevant: the pervasive importance of compartmentalization and endosomal trafficking; the complexity of signalosome complexes; and the regulatory influence of diffusion and spatiality. Each one of them demands a drastic change in current computational approaches. We discuss recent developments in the field that address these emerging aspects in a new generation of more realistic - and potential more useful - models of EGF signaling. (c) 2005 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:6289 / 6294
页数:6
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