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摘要翻译：
确定肿瘤学中感兴趣的生化途径的动力学基础是当前系统生物学的一个主要目标。理解支配这种系统进化的结构和相互作用被认为是这项研究的基石。系统理论和系统辨识理论是这一任务的主要资源，因为它们都提供了一个自洽的框架来建模和操纵最适合于所研究问题的动力系统模型。我们在这里解决了获得一个信息数据集ZN的问题，以作为识别EGFR途径动力学的起点。为了符合实验的可辨识性判据，我们提出了一个基于被研究系统的动力学性质的输入刺激设计的理论框架。在理论研究的基础上，根据驱动输入的光谱特性，设计了一种可行的光流设计，使信息量最大化。
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英文标题：
《Developing a Theoretical Framework for Optofluidic Device Designing for
System Identification in Systems Biology: the EGFR Study Case》
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作者：
Filippo Menolascina, Vitoantonio Bevilacqua, Caterina Ciminelli,
Stefania Tommasi and Angelo Paradiso
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最新提交年份：
2008
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分类信息：
一级分类：Quantitative Biology 数量生物学
二级分类：Other Quantitative Biology 其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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一级分类：Quantitative Biology 数量生物学
二级分类：Molecular Networks 分子网络
分类描述：Gene regulation, signal transduction, proteomics, metabolomics, gene and enzymatic networks
基因调控、信号转导、蛋白质组学、代谢组学、基因和酶网络
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英文摘要：
Identification of dynamics underlying biochemical pathways of interest in oncology is a primary goal in current systems biology. Understanding structures and interactions that govern the evolution of such systems is believed to be a cornerstone in this research. Systems theory and systems identification theory are primary resources for this task since they both provide a self consistent framework for modelling and manipulating models of dynamical systems that are best suited for the problem under investigation. We address herein the issue of obtaining an informative dataset ZN to be used as starting point for identification of EGFR pathway dynamics. In order to match experimental identifiability criteria we propose a theoretical framework for input stimulus design based on dynamical properties of the system under investigation. A feasible optofluidic design has been designed on the basis of the spectral properties of the driving inputs that maximize information content after the theoretical studies.
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PDF链接：
https://arxiv.org/pdf/0804.3128
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