DMREF: Computational Design Principles for Functional DNA-Based Materials

DMREF:功能性 DNA 材料的计算设计原则

基本信息

  • 批准号:
    1334109
  • 负责人:
  • 金额:
    $ 170.65万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-01-15 至 2018-12-31
  • 项目状态:
    已结题

项目摘要

This Designing Materials to Revolutionize and Engineer our Future (DMREF) grant provides funding for the development of a computational tool to determine optimal design parameters for the synthesis of DNA-based materials. The developed tool will determine the optimal DNA sequences and environmental assembly conditions, including solvent and temperature, to realize pre-specified design criteria for two-dimensional and three-dimensional DNA-based nanoscale structures and materials. Physics-based computational models will be used to incorporate mechanical, electrostatic, and hybridization free energies into an overall structural-thermodynamic model of the target DNA-based assembly. This model will be used together with numerical optimization and highly parallel computation to optimize the design and synthesis process. Detailed experimentation will be used to test and validate the computational tool, including two-dimensional and three-dimensional characterization of target structural properties and assembly kinetics.The results of this research will lead to a broadly accessible, automated design tool for the production of custom DNA-based nanostructures and materials. Optimal sequence design and assembly conditions for target DNA-based material properties will be generated using this tool, enabling its broad use in diverse nanotechnology applications. Target properties may include complex two- and three-dimensional nanoscale structural features, mechanical response, and operating temperature and solvent conditions. Determining computationally the sequence design parameters to achieve these target properties will reduce the financial cost and time required to manufacture DNA-based materials, as well as optimize the quality and uniformity of the final product. This computational tool will also enable the simulation and design of diverse functional aspects of custom DNA-based nanomaterials using complementary computational modeling approaches.
这项设计材料以革新和工程我们的未来(DMREF)资助为开发计算工具提供资金,以确定合成dna基材料的最佳设计参数。开发的工具将确定最佳的DNA序列和环境组装条件,包括溶剂和温度,以实现二维和三维DNA纳米尺度结构和材料的预先设计标准。基于物理的计算模型将用于将机械,静电和杂交自由能纳入目标dna组装的整体结构-热力学模型。该模型将与数值优化和高度并行计算相结合,对设计和合成过程进行优化。详细的实验将用于测试和验证计算工具,包括目标结构特性和装配动力学的二维和三维表征。这项研究的结果将导致一种广泛使用的自动化设计工具,用于生产定制的dna纳米结构和材料。使用该工具将生成目标dna材料特性的最佳序列设计和组装条件,从而使其在各种纳米技术应用中得到广泛应用。目标性质可能包括复杂的二维和三维纳米级结构特征、机械响应、操作温度和溶剂条件。通过计算确定序列设计参数来实现这些目标特性,将降低制造dna基材料所需的财务成本和时间,并优化最终产品的质量和均匀性。该计算工具还将使用互补的计算建模方法来模拟和设计定制dna纳米材料的各种功能方面。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Mark Bathe其他文献

Accelerated Subspace Iteration Method for Protein Normal Mode Analysis
  • DOI:
    10.1016/j.bpj.2008.12.2078
  • 发表时间:
    2009-02-01
  • 期刊:
  • 影响因子:
  • 作者:
    Reza Sharifi Sedeh;Mark Bathe;Klaus-Jürgen Bathe
  • 通讯作者:
    Klaus-Jürgen Bathe
Chromatin Architecture Reconstruction
  • DOI:
    10.1016/j.bpj.2011.11.2644
  • 发表时间:
    2012-01-31
  • 期刊:
  • 影响因子:
  • 作者:
    Philipp M. Diesinger;Miriam Fritsche;Keyao Pan;Dieter Heermann;Mark Bathe
  • 通讯作者:
    Mark Bathe
Conformational Dynamics and Allostery of Supramolecular Protein Assemblies: from the Nuclear Pore Complex to GroEL
  • DOI:
    10.1016/j.bpj.2010.12.1163
  • 发表时间:
    2011-02-02
  • 期刊:
  • 影响因子:
  • 作者:
    Do-Nyun Kim;Cong-Tri Nguyen;Mark Bathe
  • 通讯作者:
    Mark Bathe
F-Actin Mediated Chromosome Transport
  • DOI:
    10.1016/j.bpj.2011.11.1311
  • 发表时间:
    2012-01-31
  • 期刊:
  • 影响因子:
  • 作者:
    Philipp M. Diesinger;Nilah Monnier M. Mori;Peter Lenart;Mark Bathe
  • 通讯作者:
    Mark Bathe
Probing the Role of HIV Antigen Nanoscale Organization on B-Cell Activation with DNA Origami
  • DOI:
    10.1016/j.bpj.2018.11.3109
  • 发表时间:
    2019-02-15
  • 期刊:
  • 影响因子:
  • 作者:
    Remi Veneziano;Tyson Moyer;Matthew B. Stone;Sudha Kumari;William R. Schief;Mark Bathe;Darrell Irvine
  • 通讯作者:
    Darrell Irvine

Mark Bathe的其他文献

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{{ truncateString('Mark Bathe', 18)}}的其他基金

EAGER: Quantum Manufacturing: Scalable Manufacturing of Molecular Qubit Arrays Using Self-assembled DNA
EAGER:量子制造:使用自组装 DNA 进行分子量子位阵列的可扩展制造
  • 批准号:
    2240309
  • 财政年份:
    2023
  • 资助金额:
    $ 170.65万
  • 项目类别:
    Standard Grant
AF Medium: DNA-based Data Storage and Computing Materials
AF Medium:基于DNA的数据存储和计算材料
  • 批准号:
    1956054
  • 财政年份:
    2020
  • 资助金额:
    $ 170.65万
  • 项目类别:
    Continuing Grant
Collaborative Research: Autonomous Computing Materials
合作研究:自主计算材料
  • 批准号:
    1940231
  • 财政年份:
    2019
  • 资助金额:
    $ 170.65万
  • 项目类别:
    Continuing Grant
DMREF: Computational Design of Next-generation Nanoscale DNA-based Materials
DMREF:下一代纳米级 DNA 材料的计算设计
  • 批准号:
    1729397
  • 财政年份:
    2018
  • 资助金额:
    $ 170.65万
  • 项目类别:
    Standard Grant
RAISE-TAQS: Room-Temperature Quantum Sensing and Computation using DNA-based Excitonic Circuits
RAISE-TAQS:使用基于 DNA 的激子电路进行室温量子传感和计算
  • 批准号:
    1839155
  • 财政年份:
    2018
  • 资助金额:
    $ 170.65万
  • 项目类别:
    Standard Grant
Inferring the Physics of mRNA Trafficking in Neuronal Systems
推断神经系统中 mRNA 运输的物理原理
  • 批准号:
    1707999
  • 财政年份:
    2017
  • 资助金额:
    $ 170.65万
  • 项目类别:
    Continuing Grant
AF: Medium: Collaborative Research: Top-down algorithmic design of structured nucleic acid assemblies
AF:中:协作研究:结构化核酸组装体的自上而下的算法设计
  • 批准号:
    1564025
  • 财政年份:
    2016
  • 资助金额:
    $ 170.65万
  • 项目类别:
    Continuing Grant
EAGER: Collaborative Research: Algorithmic design principles for programmed DNA nanocages
EAGER:协作研究:编程 DNA 纳米笼的算法设计原理
  • 批准号:
    1547999
  • 财政年份:
    2015
  • 资助金额:
    $ 170.65万
  • 项目类别:
    Standard Grant
Inferring the Physics of Living Systems from Dynamic Light Microscopy Data
从动态光学显微镜数据推断生命系统的物理原理
  • 批准号:
    1305537
  • 财政年份:
    2014
  • 资助金额:
    $ 170.65万
  • 项目类别:
    Continuing Grant

相似国自然基金

Computational Methods for Analyzing Toponome Data
  • 批准号:
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  • 项目类别:
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