Prediction of temporal gene expression -: Metabolic optimization by re-distribution of enzyme activities
Prediction of temporal gene expression -: Metabolic optimization by re-distribution of enzyme activities
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DOI：
10.1046/j.1432-1033.2002.03223.x
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发表时间：
2002-11-01
期刊：
影响因子：
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通讯作者：
Holzhütter, HG
中科院分区：
文献类型：
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作者：
Klipp, E;Heinrich, R;Holzhütter, HG
一种计算方法是用来分析时间的基因表达的背景下，代谢调节。它是基于这样的假设，即细胞发展了最佳的适应策略，以改变环境条件。计算时间依赖性酶谱，其在有限的总酶量的约束下优化代谢途径的功能。对于线性模型的途径，它表明，波浪状的酶的配置文件是最佳的快速基板营业额。对于酵母细胞的中心代谢，计算酶谱，其确保在二次移位的条件下关键代谢物的长期稳态。这些酶谱与观察到的基因表达数据密切相关。我们的研究结果表明，最优性原则有助于合理化观察到的基因表达谱。
A computational approach is used to analyse temporal gene expression in the context of metabolic regulation. It is based on the assumption that cells developed optimal adaptation strategies to changing environmental conditions. Time-dependent enzyme profiles are calculated which optimize the function of a metabolic pathway under the constraint of limited total enzyme amount. For linear model pathways it is shown that wave-like enzyme profiles are optimal for a rapid substrate turnover. For the central metabolism of yeast cells enzyme profiles are calculated which ensure long-term homeostasis of key metabolites under conditions of a diauxic shift. These enzyme profiles are in close correlation with observed gene expression data. Our results demonstrate that optimality principles help to rationalize observed gene expression profiles.