Institute of Bio and Geo Sciences, IBG-1: Biotechnology Forschungszentrum Jülich, Wilhelm-Johnen-Str., D-52428 Jülich, Germany.
Curr Opin Biotechnol. 2011 Oct;22(5):604-10. doi: 10.1016/j.copbio.2011.01.001. Epub 2011 Feb 23.
Mechanistic (also called kinetic) models quantitatively describe dynamic and steady states of biochemical pathways. They are based on network structure (stoichiometry), regulatory information (enzyme inhibitors and activators) and the corresponding reaction kinetics. Although this approach to understand and predict the behavior of biochemical networks has now been in use for almost half a century, its experimental foundation has dramatically changed in the data-rich age of systems biology. Large mechanistic models, ranging up to the genome scale, are now being built and lots of data are available to validate and test them. From the broad scope of possible modeling applications, this survey focuses on the recent developments and central problems of metabolic network modeling in the field of bioprocess development for industrial biotechnology.
机制模型（也称为动力学模型）定量描述了生化途径的动态和稳态。它们基于网络结构（化学计量学）、调节信息（酶抑制剂和激活剂）和相应的反应动力学。尽管这种理解和预测生化网络行为的方法已经使用了将近半个世纪，但在系统生物学的大数据时代，其实验基础已经发生了巨大的变化。现在正在构建大型的机制模型，范围从基因组规模到基因组规模，并且有大量的数据可用于验证和测试它们。从可能的建模应用的广泛范围来看，本综述重点介绍了工业生物技术中生物工艺开发领域代谢网络建模的最新发展和核心问题。
