课题基金 / 基金详情

INSPIRE: Robust Molecular Programming: Advances in the Design and Verification of Reliable Self-Assembling Nanosystems

INSPIRE: Robust Molecular Programming: Advances in the Design and Verification of Reliable Self-Assembling Nanosystems
INSPIRE:鲁棒分子编程:可靠自组装纳米系统的设计和验证进展
批准号:
1247051
负责人:
Jack Lutz
金额:
$92.5万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-10-01 至 2017-09-30

项目摘要

项目成果

Jack Lutz的其他基金

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中文摘要
翻译
该INSPIRE奖部分由以下NSF单位资助:计算机与信息科学与工程理事会计算机与通信基础部的软件和硬件基础项目;计算机和信息科学与工程局计算机和通信基础部的生物计算基金;生物学理事会分子和细胞生物科学部的网络和调控计划;计算机和信息科学与工程理事会以及生物学理事会的计算机和通信基金会的生物和计算共享原则基金;以及刺激竞争性研究实验项目办公室(EPSCoR)。分子编程,也被称为DNA纳米技术,利用核酸的信息处理能力来设计纳米级的自组装、可编程结构和设备。过去几年的研究表明,DNA自组装可以实现算法;DNA链位移反应如何实现逻辑电路、神经网络和分子机器人;以及DNA折纸如何创建二维和三维结构,这些结构可以作为靶向药物输送装置或“纳米面包板”,这些装置可以附着在指定的位置。简单地说,分子编程就是在分子尺度上对我们的指令进行编程,它是计算机科学字面意义上的编程。这个项目将结合分子生物学的方法和计算机科学的方法,特别是软件工程的方法,开始发展一门健壮的分子编程学科。这将是一个对DNA纳米系统进行编程的系统过程,尽管环境的化学动力学可能会发生变化,但对DNA纳米系统将会做它们应该做的事情有高度的信心。该项目将开发这种强大的分子编程方法,并与真正的、尖端的DNA纳米技术湿实验室研究相结合。软件工程师为设计和验证可靠的异步系统而开发的方法,以及理论计算机科学家为将随机性与计算相结合而开发的原则,将特别应用于一种全新的方法,以创建更复杂但更健壮的DNA折纸,将这种方法应用于可靠的生物传感器,以及在纳米尺度上模块化计算的新方法。本项目非传统地将软件工程方法直接应用于DNA纳米技术,这对DNA纳米技术及其在医学、信息技术、制造业、能源生产和21世纪社会其他企业的预期应用具有潜在的变革性好处,这些应用更具生产力、可预测性和安全性。该项目还将加强爱荷华州立大学的跨学科STEM教育,并为爱荷华州中部发展生物技术走廊做出贡献。
英文摘要
This INSPIRE award is partially funded by the following NSF units: the Software and Hardware Foundations Program in the Division of Computer and Communications Foundations of the Computer and Information Science and Engineering Directorate; the Bio Computing fund in the Division of Computer and Communications Foundations of the Computer and Information Science and Engineering Directorate; the Networks and Regulation Program in the Division of Molecular and Cellular Biosciences of the Biology Directorate; the fund for Biological and Computing Shared Principles (BCSP) in both the Computer and Communications Foundations of the Computer and Information Science and Engineering Directorate and the Biology Directorate; and the Office of Experimental Program to Stimulate Competitive Research (EPSCoR). Molecular programming, also known as DNA nanotechnology, exploits the information-processing capabilities of nucleic acids to design self-assembling, programmable structures and devices at the nanoscale. Research in the past few years has shown how DNA tile self-assembly can implement algorithms; how DNA strand displacement reactions can implement logic circuits, neural networks, and molecular robots; and how DNA origami can create two- and three-dimensional structures that can serve as targeted drug-delivery devices or "nano-breadboards" to which devices can be attached at specified locations. Simply stated, molecular programming is programming matter to do our bidding at molecular scales, and it is programming in the literal sense of computer science.This project will combine methods from molecular biology with methods from computer science, and especially software engineering, to begin the development of a discipline of robust molecular programming. This will be a systematic process for programming DNA nanosystems with a high level of confidence that they will do what they are supposed to do, despite the probabilistic vicissitudes of the chemical kinetics of their environments. The project will develop this robust approach to molecular programming in concert with real, cutting-edge wet-lab research in DNA nanotechnology. Methods developed by software engineers for designing and verifying reliable, asynchronous systems that scale and principles developed by theoretical computer scientists for integrating randomness with computation will be applied specifically to a fundamentally new approach to creating more complex yet more robust DNA origamis, to applications of this approach to reliable biosensors, and to a new method for modularizing computations at the nanoscale. This project's unconventional application of software engineering methods directly to DNA nanotechnology has potentially transformative benefits for making DNA nanotechnology and its anticipated applications to medicine, information technology, manufacturing, energy production, and other enterprises of twenty-first century society more productive, predictable, and safe. The project will also enhance interdisciplinary STEM education at Iowa State University and contribute to a developing biotech corridor in central Iowa.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
Algorithmic Randomness in Continuous-Time Markov Chains
连续时间马尔可夫链中的算法随机性
DOI: 10.1109/allerton.2019.8919778
发表时间: 2019
期刊: and Computing (Allerton
影响因子: --
作者: [Huang, Xiang, Lutz, Jack H., Migunov, Andrei N.]
通讯作者: Migunov, Andrei N.
Robust chemical circuits
稳健的化学回路
DOI: 10.1016/j.biosystems.2019.103983
发表时间: 2019
期刊: Biosystems
影响因子: 1.6
作者: [Ellis, Samuel J., Klinge, Titus H., Lathrop, James I.]
通讯作者: Lathrop, James I.
Asymptotic Divergences and Strong Dichotomy
渐近分歧和强二分法
DOI: 10.4230/lipics.stacs.2020.51
发表时间: 2020
期刊: STACS 2020
影响因子: --
作者: [Huang, Xiang, Lutz, Jack H., Mayordomo, Elvira, and Stull, Donald M.]
通讯作者: and Stull, Donald M.
DOI: 10.1016/j.tcs.2020.01.008
发表时间: 2020-05-06
期刊: THEORETICAL COMPUTER SCIENCE
影响因子: 1.1
作者: [Klinge, Titus H., Lathrop, James, I, Lutz, Jack H.]
通讯作者: Lutz, Jack H.
EAGER: Collaborative Research: Modeling and Analysis of Molecular Programming and Nanoscale Self-Assembly
  • 批准号:
    1143830
  • 项目类别:
    Standard Grant
  • 资助金额:
    $18.9万
  • 财政年份:
    2011
  • 负责人:
    Jack Lutz
  • 依托单位:
FRG: Collaborative Research: Algorithmic Randomness
  • 批准号:
    0652569
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $3.0万
  • 财政年份:
    2007
  • 负责人:
    Jack Lutz
  • 依托单位:
Effective Dimensions in the Theory of Computing
  • 批准号:
    0728806
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2007
  • 负责人:
    Jack Lutz
  • 依托单位:
SGER: Multidisciplinary Aspects of Computation Theory
  • 批准号:
    0344187
  • 项目类别:
    Standard Grant
  • 资助金额:
    $7.49万
  • 财政年份:
    2003
  • 负责人:
    Jack Lutz
  • 依托单位:
国内基金
海外基金
供应链管理中的稳健型(Robust)策略分析和稳健型优化(Robust Optimization )方法研究
  • 批准号:
    70601028
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    7.0万元
  • 批准年份:
    2006
  • 负责人:
    王明征
  • 依托单位:
心理紧张和应力影响下Robust语音识别方法研究
  • 批准号:
    60085001
  • 项目类别:
    专项基金项目
  • 资助金额:
    14.0万元
  • 批准年份:
    2000
  • 负责人:
    韩纪庆
  • 依托单位:
ROBUST语音识别方法的研究
  • 批准号:
    69075008
  • 项目类别:
    面上项目
  • 资助金额:
    3.5万元
  • 批准年份:
    1990
  • 负责人:
    高雨青
  • 依托单位:
改进型ROBUST序贯检测技术
  • 批准号:
    68671030
  • 项目类别:
    面上项目
  • 资助金额:
    2.0万元
  • 批准年份:
    1986
  • 负责人:
    刘有恒
  • 依托单位: