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

基本信息

  • 批准号:
    1247051
  • 负责人:
  • 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
  • 起止时间:
    2012-10-01 至 2017-09-30
  • 项目状态:
    已结题

项目摘要

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.
该INSPIRE奖部分由以下NSF单位资助:计算机和信息科学与工程局计算机和通信基础部门的软件和硬件基础计划;计算机和信息科学与工程局计算机和通信基础部门的生物计算基金;生物学理事会分子和细胞生物科学司的网络和监管方案;生物和计算共享原则基金(BCSP)在计算机和信息科学与工程局和生物局的计算机和通信基础;刺激竞争研究实验计划办公室(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。过去几年的研究已经展示了DNA瓦片自组装如何实现算法; DNA链置换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,可以作为靶向药物输送设备或“纳米面包板”,设备可以连接在指定位置。 简单地说,分子编程是在分子尺度上为我们的出价而编程的物质,它是计算机科学字面意义上的编程。该项目将联合收割机方法与计算机科学,特别是软件工程的方法相结合,开始发展一门强大的分子编程学科。这将是一个系统化的DNA纳米系统编程过程,尽管其环境的化学动力学可能会发生变化,但它们会有很高的信心去做它们应该做的事情。 该项目将开发这种强大的分子编程方法,与DNA纳米技术中真实的前沿湿实验室研究相结合。 由软件工程师开发的用于设计和验证可靠的异步系统的方法,以及由理论计算机科学家开发的用于将随机性与计算相结合的原理,将专门应用于创建更复杂但更强大的DNA origamis的全新方法,这种方法在可靠的生物传感器中的应用,以及在纳米级模块化计算的新方法。这个项目的非常规应用软件工程方法直接DNA纳米技术有潜在的变革性的好处,使DNA纳米技术和其预期的应用,医药,信息技术,制造业,能源生产,和其他企业的二十一世纪社会更有成效,可预测的,和安全。 该项目还将加强爱荷华州州立大学的跨学科STEM教育,并为爱荷华州中部发展生物技术走廊做出贡献。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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:
  • 影响因子:
    0
  • 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:
  • 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:
  • 影响因子:
    0
  • 作者:
    Huang, Xiang;Lutz, Jack H.;Mayordomo, Elvira;and Stull, Donald M.
  • 通讯作者:
    and Stull, Donald M.
Robust biomolecular finite automata
  • DOI:
    10.1016/j.tcs.2020.01.008
  • 发表时间:
    2020-05-06
  • 期刊:
  • 影响因子:
    1.1
  • 作者:
    Klinge, Titus H.;Lathrop, James, I;Lutz, Jack H.
  • 通讯作者:
    Lutz, Jack H.
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Jack Lutz其他文献

Jack Lutz的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Jack Lutz', 18)}}的其他基金

EAGER: Collaborative Research: Modeling and Analysis of Molecular Programming and Nanoscale Self-Assembly
EAGER:协作研究:分子编程和纳米级自组装的建模和分析
  • 批准号:
    1143830
  • 财政年份:
    2011
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Standard Grant
FRG: Collaborative Research: Algorithmic Randomness
FRG:协作研究:算法随机性
  • 批准号:
    0652569
  • 财政年份:
    2007
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Continuing Grant
Effective Dimensions in the Theory of Computing
计算理论中的有效维度
  • 批准号:
    0728806
  • 财政年份:
    2007
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Standard Grant
SGER: Multidisciplinary Aspects of Computation Theory
SGER:计算理论的多学科方面
  • 批准号:
    0344187
  • 财政年份:
    2003
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Standard Grant
Measure and Information in Computational Complexity
计算复杂性的测量和信息
  • 批准号:
    9988483
  • 财政年份:
    2000
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Standard Grant
Measure and Randomness in Computational Complexity
计算复杂性的测量和随机性
  • 批准号:
    9610461
  • 财政年份:
    1997
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Standard Grant
PYI: The Internal Quantitative Structure of Complexity Classes
PYI:复杂性类别的内部定量结构
  • 批准号:
    9157382
  • 财政年份:
    1991
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Continuing Grant
Research Initiation: Measure and Category in Complexity Classes
研究启动:复杂性类别中的度量和类别
  • 批准号:
    8809238
  • 财政年份:
    1988
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Standard Grant

相似国自然基金

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
  • 批准年份:
    2006
  • 资助金额:
    7.0 万元
  • 项目类别:
    青年科学基金项目
心理紧张和应力影响下Robust语音识别方法研究
  • 批准号:
    60085001
  • 批准年份:
    2000
  • 资助金额:
    14.0 万元
  • 项目类别:
    专项基金项目
ROBUST语音识别方法的研究
  • 批准号:
    69075008
  • 批准年份:
    1990
  • 资助金额:
    3.5 万元
  • 项目类别:
    面上项目
改进型ROBUST序贯检测技术
  • 批准号:
    68671030
  • 批准年份:
    1986
  • 资助金额:
    2.0 万元
  • 项目类别:
    面上项目

相似海外基金

Metal Oxide Heterostructure for Realizing Robust Molecular Discrimination
用于实现稳健分子辨别的金属氧化物异质结构
  • 批准号:
    23H00254
  • 财政年份:
    2023
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Grant-in-Aid for Scientific Research (A)
Collaborative Research: Robust General Methods for Determination of Polyelectrolyte Molecular Weight and Polydispersity
合作研究:测定聚电解质分子量和多分散性的稳健通用方法
  • 批准号:
    2203746
  • 财政年份:
    2022
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Standard Grant
CAREER: Real-Time, Selective Gas Sensing in Complex Gas Compositions by Molecular Sieving via Robust Two-Dimensional Heterostructures
职业:通过稳健的二维异质结构进行分子筛分,对复杂气体成分进行实时、选择性气体传感
  • 批准号:
    2145549
  • 财政年份:
    2022
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Continuing Grant
Collaborative Research: Robust General Methods for Determination of Polyelectrolyte Molecular Weight and Polydispersity
合作研究:测定聚电解质分子量和多分散性的稳健通用方法
  • 批准号:
    2203753
  • 财政年份:
    2022
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Standard Grant
CAREER: Facile molecular computation and diagnostics via fast, robust, and reconfigurable DNA circuits
职业:通过快速、稳健且可重新配置的 DNA 电路进行简便的分子计算和诊断
  • 批准号:
    2143227
  • 财政年份:
    2022
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Continuing Grant
Quantum computing for robust molecular identification by quantum tunneling
通过量子隧道进行稳健分子识别的量子计算
  • 批准号:
    21H01742
  • 财政年份:
    2021
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Robust Artificial Olfactory Sensor with Integrated Molecular Selective Capture and Release Devices
具有集成分子选择性捕获和释放装置的鲁棒人工嗅觉传感器
  • 批准号:
    21K18868
  • 财政年份:
    2021
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Grant-in-Aid for Challenging Research (Exploratory)
CAREER: Robust heterochiral molecular computing in mammalian cells
职业:哺乳动物细胞中稳健的异手性分子计算
  • 批准号:
    2044838
  • 财政年份:
    2021
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Continuing Grant
Robust Multi-Molecular Recognition through Nano-Spatiotemporal Thermal Control of Integrated Oxide Sensors
通过集成氧化物传感器的纳米时空热控制实现鲁棒多分子识别
  • 批准号:
    20H02208
  • 财政年份:
    2020
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Robust metallic lithium anode protected by advanced atomic/molecular layer deposition techniques for next-generation battery technology
坚固的金属锂阳极受到先进原子/分子层沉积技术的保护,适用于下一代电池技术
  • 批准号:
    506277-2016
  • 财政年份:
    2019
  • 资助金额:
    $ 92.5万
  • 项目类别:
    Collaborative Research and Development Grants
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了