系统生物学中用于系统识别的光流控器件设计理论框架的建立：EGFR研究案例
Developing a Theoretical Framework for Optofluidic Device Designing for System Identification in Systems Biology: the EGFR Study Case
摘要：
识别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。系统理论和系统识别理论是这项任务的主要资源，因为它们都提供了一个自洽的框架，建模和操纵模型的动态系统，最适合的问题正在调查。我们在本文中解决了获得信息数据集ZN以用作鉴定EGFR途径动力学的起点的问题。为了匹配实验的可识别性标准，我们提出了一个理论框架，输入刺激设计的动力学性质的基础上，系统的调查。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控设计，使信息量最大化。
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
