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首页> 外文期刊>Journal of Theoretical Biology >Integration of kinetic information on yeast sphingolipid metabolism in dynamical pathway models
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Integration of kinetic information on yeast sphingolipid metabolism in dynamical pathway models

机译:在动力学途径模型中整合酵母鞘脂代谢动力学信息

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For the first time, kinetic information from the literature was collected and used to construct integrative dynamical mathematical models of sphingolipid metabolism. One model was designed primarily with kinetic equations in the tradition of Michaelis and Menten whereas the other two models were designed as alternative power-law models within the framework of Biochemical Systems Theory. Each model contains about 50 variables, about a quarter of which are dependent (state) variables, while the others are independent inputs and enzyme activities that are considered constant. The models account for known regulatory signals that exert control over the pathway. Standard mathematical testing, repeated revisiting of the literature, and numerous rounds of amendments and refinements resulted in models that are stable and rather insensitive to perturbations in inputs or parameter values. The models also appear to be compatible with the modest amount of experimental experience that lends itself to direct comparisons. Even though the three models are based on different mathematical representations, they show dynamic responses to a variety of perturbations and changes in conditions that are essentially equivalent for small perturbations and similar for large perturbations. The kinetic information used for model construction and the models themselves can serve as a starting point for future analyses and refinements. (C) 2003 Published by Elsevier Ltd.
机译:第一次,从文献中收集动力学信息,并将其用于构建鞘脂代谢的综合动力学数学模型。一个模型主要是根据Michaelis和Menten的动力学方程设计的,而另外两个模型则是在生化系统理论框架内设计为可替代的幂律模型的。每个模型包含大约50个变量,其中大约四分之一是因变量(状态变量),而其他模型则是独立的输入和被认为是恒定的酶活性。该模型考虑了对通路施加控制的已知调节信号。标准的数学测试,对文献的反复回顾以及数轮的修正和完善,使得模型变得稳定,并且对输入或参数值的扰动不敏感。这些模型似乎也与适度的实验经验兼容,从而可以直接进行比较。即使这三个模型基于不同的数学表示形式,它们仍显示出对各种扰动和条件变化的动态响应,这些条件对于小扰动基本上是等效的,而对于大扰动则基本类似。用于模型构建的动力学信息以及模型本身可以用作将来分析和完善的起点。 (C)2003年由Elsevier Ltd.出版

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