DMREF/Collaborative Research: Architecting DNA Nanodevices into Metamaterials, Transducing Materials, and Assembling Materials
DMREF/合作研究:将 DNA 纳米器件构建为超材料、转换材料和组装材料
基本信息
- 批准号:2323968
- 负责人:
- 金额:$ 145万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-10-01 至 2027-09-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Soft architected materials self-assembled from nanoscale building blocks could have far-reaching applications in sensing, soft-robotics, energy, information storage, and medicine. Materials constructed from biological building blocks are attractive because they can integrate the advantages of biomolecular systems such as adaptability in response to external stimuli, capacity to dynamically interact with other materials, and ability to self-heal after chemical or mechanical degradation. DNA self-assembly provides a promising approach for creating such nano-architected materials due to its ability to produce precise nanostructures of unprecedented geometric complexity, tunable mechanical properties, and dynamic reconfiguration. This Designing Materials to Revolutionize and Engineer our Future (DMREF) award supports fundamental research focused on developing self-assembled materials constructed from DNA with adaptable structures and unique mechanical properties, signal processing capabilities, and the ability to form a variety of materials from a single reconfigurable building block. The research is closely aligned with the Materials Genome Initiative, which seeks to accelerate materials discovery and deployment through integration of computational, experimental, and data-driven advances. In addition, the award will provide unique training for graduate and undergraduate students in DNA nanotechnology, biochemistry, molecular simulations, machine learning, and multi-scale modeling. All training opportunities will be leveraged to benefit students from underrepresented groups. Additionally, the results of the project will be disseminated through workshops that will engage broader research communities.This research project will advance the functional properties of architected DNA materials by integrating unique mechanical, signal-transducing, and shape-morphing properties. These materials will be constructed from nanoscale DNA building blocks with precisely designed structure and tailored mechanical and dynamic properties. These units will be assembled into larger materials consisting of many devices that interact with each other to coordinate the structure and mechanical response of the materials and achieve functions like transducing signals. Design principles will be established for these materials using molecular simulation and machine learning approaches to rapidly identify nanodevice and assembly designs for on-demand material properties. The team has a highly collaborative approach that combines expertise in DNA nanomaterials, single-molecule measurements, molecular and mesoscopic modeling, and machine learning. Using these capabilities, the team will focus on three goals: design, construct and implement (i) mechanical metamaterials self-assembled from compliant DNA origami nanostructures, (ii) signal transducing materials based on dynamic DNA devices, and (iii) polymorphic networks from assembly of reconfigurable multi-arm DNA origami nanodevices. This project is supported by the Division of Civil, Mechanical and Manufacturing Innovation (CMMI) of the Directorate for Engineering (ENG) and the Division of Materials Research (DMR) of the Directorate for Mathematical and Physical Sciences (MPS).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
从纳米级构建块中自组装的软构造材料可能在感应,软体动物,能量,信息存储和药物方面具有深远的应用。由生物构建块构成的材料很有吸引力,因为它们可以整合生物分子系统的优势,例如响应外部刺激的适应性,与其他材料动态相互作用的能力以及在化学或机械降解后自我旋转的能力。 DNA自组装提供了一种有希望的方法来创建这种纳米构造的材料,因为它能够生成前所未有的几何复杂性,可调机械性能和动态重新配置的精确纳米结构。这种设计材料彻底改变和设计我们的未来(DMREF)奖支持了基础研究,该研究的重点是开发由具有适应性结构和独特机械性能,信号处理能力的DNA构建的自组装材料,以及从单个可重新配置的构件中形成各种材料的能力。这项研究与材料基因组倡议紧密一致,该计划旨在通过整合计算,实验和数据驱动的进步来加速材料发现和部署。此外,该奖项将为DNA纳米技术,生物化学,分子模拟,机器学习和多规模建模的研究生和本科生提供独特的培训。所有培训机会将被利用,以使来自代表性不足的团体的学生受益。此外,该项目的结果将通过研讨会来传播,这些研讨会将吸引更广泛的研究社区。该研究项目将通过整合独特的机械,信号传递和形状变形的特性来提高架构化DNA材料的功能性能。这些材料将由具有精确设计的结构以及量身定制的机械和动态特性的纳米级DNA构建块构建。这些单元将组装成较大的材料,这些材料由许多相互作用的设备组成,以协调材料的结构和机械响应,并实现诸如传输信号之类的功能。将使用分子模拟和机器学习方法来确定这些材料的设计原理,以迅速识别按需材料特性的纳米电视和组装设计。该团队采用高度协作的方法,可以结合DNA纳米材料,单分子测量,分子和介绍建模以及机器学习方面的专业知识。使用这些功能,团队将重点关注三个目标:设计,构建和实施(i)机械超材料从合规的DNA折纸纳米结构中自组装,(ii)基于动态DNA设备的材料以及(iii)多型多型网络的信号转换材料,这些网络来自可召回的多型多臂DNA dna offigurabar armarmi dna offimami offimami offimami offimami offimami nananeDnananeDnananeVices。该项目得到了工程局(ENG)的民用,机械和制造创新(CMMI)的支持,以及数学和物理科学局(MPS)材料研究部(DMR)(MPS)。这项奖项反映了NSF的法定任务,并通过评估基础的智力效果和宽阔的范围来评估,并以评估值得评估。
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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Carlos Castro其他文献
A Learning-Based Hybrid Framework for Dynamic Balancing of Exploration-Exploitation: Combining Regression Analysis and Metaheuristics
基于学习的探索-利用动态平衡混合框架:回归分析和元启发法相结合
- DOI:
10.3390/math9161976 - 发表时间:
2021 - 期刊:
- 影响因子:2.4
- 作者:
E. Vega;Ricardo Soto;Broderick Crawford;Javier Peña;Carlos Castro - 通讯作者:
Carlos Castro
NEC-Associated DNA Methylation Signatures in Colon are Evident in Stool Samples of Affected Individuals
受影响个体的粪便样本中明显存在结肠中 NEC 相关的 DNA 甲基化特征
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
M. Good;Tianjiao Chu;Patricia A. Shaw;Lila S. Nolan;L. McClain;Austin Chamberlain;Carlos Castro;Qingqing Gong;Krista Cooksey;Laura A. Linneman;David N. Finegold;David G. Peters - 通讯作者:
David G. Peters
$3D+t$ Morphological Processing: Applications to Embryogenesis Image Analysis
$3D t$ 形态处理:胚胎发生图像分析的应用
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:10.6
- 作者:
M. Luengo;D. Pastor;Carlos Castro;E. Faure;T. Savy;B. Lombardot;J. L. Rubio;L. Duloquin;M. Ledesma;P. Bourgine;N. Peyriéras;Andrés Santos - 通讯作者:
Andrés Santos
Caracterizando al enemigo: Infecciones oportunistas en el sistema nervioso central en pacientes con VIH, una serie de casos colombiana
敌人的特征:哥伦比亚神经系统中的机会感染,VIH 患者系列
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Carlos Castro;D. Maldonado;Paula Arboleda;M. Camargo;O. Chavarro;G. Díaz;A. Buitrago;Habib Georges Moutran - 通讯作者:
Habib Georges Moutran
Adaptive Enumeration Strategies and Metabacktracks for Constraint Solving
用于约束求解的自适应枚举策略和元回溯
- DOI:
10.1007/11890393_37 - 发表时间:
2006 - 期刊:
- 影响因子:5.6
- 作者:
É. Monfroy;Carlos Castro;Broderick Crawford - 通讯作者:
Broderick Crawford
Carlos Castro的其他文献
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{{ truncateString('Carlos Castro', 18)}}的其他基金
PFI-TT: DNA Sensors for Rapid Detection of COVID-19 and other Viral Diseases with High Sensitivity
PFI-TT:用于高灵敏度快速检测 COVID-19 和其他病毒性疾病的 DNA 传感器
- 批准号:
2044601 - 财政年份:2021
- 资助金额:
$ 145万 - 项目类别:
Standard Grant
DMREF/Collaborative Research: DNA-based Sensing, Communicating, and Phase-Separating Materials
DMREF/合作研究:基于 DNA 的传感、通信和相分离材料
- 批准号:
1921881 - 财政年份:2019
- 资助金额:
$ 145万 - 项目类别:
Standard Grant
EFRI CEE: DNA origami tools to engineer chromatin structure and function in live cells
EFRI CEE:用于改造活细胞染色质结构和功能的 DNA 折纸工具
- 批准号:
1933344 - 财政年份:2019
- 资助金额:
$ 145万 - 项目类别:
Standard Grant
CAREER: A Molecular Force Sensor for Single Molecule Studies of Cellular Force Application
职业:用于细胞力应用的单分子研究的分子力传感器
- 批准号:
1351159 - 财政年份:2014
- 资助金额:
$ 145万 - 项目类别:
Standard Grant
Design of DNA Origami Machines and Mechanisms
DNA折纸机和机构的设计
- 批准号:
1235060 - 财政年份:2012
- 资助金额:
$ 145万 - 项目类别:
Standard Grant
BRIGE: Fluorescence Based Single Molecule Force Spectroscopy with DNA Nanotechnology
BRIGE:基于荧光的单分子力光谱与 DNA 纳米技术
- 批准号:
1228104 - 财政年份:2012
- 资助金额:
$ 145万 - 项目类别:
Standard Grant
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- 批准号:
2325392 - 财政年份:2023
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