Mathematical models in microbial systems biology

被引:98
|
作者
Stelling, J [1 ]
机构
[1] Max Planck Inst Dynam Complex Tech Syst, D-39106 Magdeburg, Germany
关键词
D O I
10.1016/j.mib.2004.08.004
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Systems biology aims at an understanding of the genotype-phenotype relations brought about by cellular networks. Mathematical models as formal representations are central for handling the associated complexity. Recently, model-based analysis of microorganisms has begun, for instance, to reveal functional modules in metabolic and transcriptional networks, to predict cellular behavior from genome-scale physicochemical constraints, and to suggest novel design principles for well-studied bacterial subsystems such as chemotaxis. Guided by common themes such as modularity, optimality and robustness, iterative model development promises further progress towards a system-level understanding.
引用
收藏
页码:513 / 518
页数:6
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