EAGER: Synthesizing Signal Processing Functions with Biochemical Reactions

EAGER：利用生化反应综合信号处理功能

• 批准号: 0946601
• 负责人: Keshab Parhi
• 金额: $ 20万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0946601&HistoricalAwards=false
• 关键词: EAGER; Synthesizing; Signal; Processing; Functions; EAGER; Synthesizing; Signal; Processing; Functions

This proposal addresses the synthesis of computations and signal processing operations in a novel context: protein-protein biochemistry where the inputs and outputs are quantities of different types of proteins. The project will demonstrate that biochemistry can implement simple and powerful digital signal processing (DSP) operations. Constructs like and decision feedback equalizers will be implemented: given input quantities of proteins, the system performs a decision to deliver a drug or not, adaptively and autonomously. Also band-pass filtering will be implemented: the quantity of output protein is a highly-tuned function of the frequency of the changes in the quantities of input proteins. Other DSP functions such as FFTs will be implemented. The design of such DSP functions will be investigated in an abstract framework, as a proof of concept. (At this time, the research will not attempt to address the experimental application of these ideas in vitro or in vivo). Techniques for analyzing the dynamics of biological systems are well established. However, synthesizing computation with such mechanisms requires new techniques ? and an entirely new mindset. Success in this endeavor will open numerous opportunities in fields such as biochemical sensing and drug delivery. An important goal of the project is to communicate the goals and the impetus for interdisciplinary research to a wide audience. A new graduate-level course will be developed, titled "Circuits, Computation, and Biology" offered jointly through the ECE Department and the new Biomedical Informatics and Computational Biology Program at the University of Minnesota.

该建议介绍了在新的环境中的计算和信号处理操作的综合：蛋白质 - 蛋白质生物化学，其中输入和输出是不同类型的蛋白质的数量。 该项目将证明生物化学可以实施简单而强大的数字信号处理（DSP）操作。 将实施诸如和决策反馈均衡器之类的结构：给定的输入量蛋白质，该系统执行是否适应性和自主地提供药物。还将实施带通滤波的滤波：输出蛋白的数量是输入蛋白质数量变化频率的高度调整函数。 将实现其他DSP功能，例如FFT。此类DSP功能的设计将以抽象框架作为概念证明进行研究。 （目前，该研究将无法在体外或体内解决这些想法的实验应用）。 分析生物系统动力学的技术已经确定。 但是，使用这种机制合成计算需要新技术吗？这是一个全新的心态。 在这项努力中的成功将在生化感测和药物输送等领域开放许多机会。 该项目的一个重要目标是将跨学科研究的目标和动力传达给广泛的受众。 将开发一项新的研究生级课程，标题为“电路，计算和生物学”，并通过ECE系以及明尼苏达大学的新生物医学信息学和计算生物学计划共同提供。