Reverse Engineering for a Dynamic Model of the Drosophila Circadia Oscillator
Reverse Engineering for a Dynamic Model of the Drosophila Circadia Oscillator
复制标题
果蝇昼夜节律振荡器动态模型的逆向工程
DOI：
10.1109/cimca.2005.1631333
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
T. Ohashi
中科院分区：
文献类型：
--
作者：
T. Shin;H. Kurata;T. Ohashi
在生物信息学领域，生物化学网络在计算机中被重构以理解其动态特征。一个问题是如何估计的许多动力学参数的值，很难测量实验。在这项研究中，我们提出了一种新的基于遗传算法（GAs）的参数估计方法，并将其应用于果蝇昼夜振荡器。我们定义了两个评价函数，代表动态模型的两个特征。为了同时优化这两个函数，我们提出了生存比遗传算法，它有一个基因的生命周期作为一个新的概念，即人口保持以前的搜索历史。通过每一代在两个评估函数之间交替，种群保留先前评估的基因，并且孩子继承这两个属性。在果蝇昼夜节律振荡系统的二次评价问题中，生存率遗传算法表现出了比传统遗传算法更好的寻优性能
In the field of bioinformatics, biochemical networks have been reconstructed in computer to understand their dynamic features. A problem is how to estimate the values of many kinetic parameters that are hard to measure experimentally. In this study, we have proposed a novel parameter estimation method based on genetic algorithms (GAs) and applied it to the Drosophila circadian oscillator. We defined two evaluation functions that represent two features of the dynamic model. To optimize the two functions simultaneously, we proposed the survival ratio GA, which has a gene's lifetime as a new concept, that is, the population holds previous search histories. By alternating between two evaluation functions every generation, the population holds both previously evaluated genes and children inherit both properties. In the two-evaluation problem of the Drosophila circadian oscillation system, the survival ratio GA exhibited a considerably better optimizing performance than traditional GA methods
影响因子：
56.9
作者：
Glossop, NRJ;Lyons, LC;Hardin, PE
通讯作者：
Hardin, PE