Collaborative Research: FET: Small: Algorithmic Self-Assembly with Crisscross Slats

这个项目利用DNA，所有生物体的基本遗传物质，作为纳米级结构的建筑材料。这项研究的潜在影响跨越多个领域，包括医疗保健，它可能导致疾病检测和治疗方面的突破，以及纳米工程，为纳米级制造提供新方法。利用DNA固有的碱基配对特性，该项目采用了一种称为“板条组装”的新策略，其中DNA序列被设计成折叠成细长的板条，然后拼接在一起形成复杂的几何形状。这种方法旨在规避先前DNA组装方法的局限性——特别是与构建更大结构相关的高成本和错误率。板条组装法大大降低了这些障碍，使制造更复杂、更庞大的纳米结构成为可能。此外，通过将这些进步整合到学术课程中，该项目还寻求为新一代科学家提供必要的跨学科技能，以突破科学可能性的界限。该项目的重点是改进和推进基于板的DNA组装，以解决当前DNA纳米技术面临的挑战，特别是与算法自组装相关的错误和硬编码方法的可扩展性问题。研究小组将对板条组装进行系统的探索，从计算机模拟开始设计基于dna的板条系统，以减少生长错误。这些理论设计将通过一系列增量实验进行实证检验。初始阶段将复制和简化现有的基于石板的图案，然后发展到能够任意大小扩展的图案。这为在这些可扩展平台中实现算法增长模式奠定了基础，这是该领域的一项新努力。该项目包括设计可变长度和形状的板条，这种技术需要精确的控制和创新，而不是目前的方法。这些策略的成功实施将证明使用板条的算法增长的可行性，例如构建一个离散版本的Sierpinski三角形。该项目代表了实现可扩展的、错误最小化的DNA纳米结构组装的关键一步，对纳米技术的未来及其在各个学科的应用具有重要意义。该项目由计算和通信基础部门的新兴技术基金会计划和促进竞争研究的既定计划（EPSCoR）共同资助。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project utilizes DNA, the fundamental genetic material of all living organisms, as a construction material for nano-scale structures. The potential impact of this research spans multiple fields, including healthcare, where it could lead to breakthroughs in disease detection and treatment, and nano-engineering, offering new methods for manufacturing at the nanoscale. Leveraging the inherent base-pairing properties of DNA, the project employs a novel strategy known as slat assembly, where DNA sequences are designed to fold into elongated slats that then piece together to form complex geometries. This approach aims to circumvent the limitations of previous DNA assembly methods—specifically, the high costs and error rates associated with constructing larger structures. Slat assembly stands to substantially lower these barriers, enabling the creation of more intricate and vast nanostructures. Furthermore, by integrating these advancements into academic curricula, the project also seeks to equip a new generation of scientists with the interdisciplinary skills necessary to push the boundaries of what is scientifically possible.The focus of this project is to refine and advance slat-based DNA assembly as a solution to the challenges currently faced in DNA nanotechnology, specifically the errors associated with algorithmic self-assembly and the scalability issues of hard-coded approaches. The research team will engage in a systematic exploration of slat assembly, starting with computer simulations to design DNA-based slat systems that promise to mitigate growth errors. These theoretical designs will be brought to empirical testing through a series of incremental experiments. Initial phases will replicate and then simplify existing slat-based motifs, progressing to the development of motifs capable of arbitrary size expansion. This sets the groundwork for implementing algorithmic growth patterns within these scalable platforms, a novel endeavor within the field. The project includes designing slats of variable lengths and shapes, a technique that requires precise control and innovation beyond current methodologies. Successful implementation of these strategies will demonstrate the feasibility of algorithmic growth using slats, exemplified by constructing a discrete version of the Sierpinski triangle. This project represents a pivotal step towards achieving scalable, error-minimized assembly of DNA nanostructures, with significant implications for the future of nanotechnology and its applications across various disciplines.This project is jointly funded by the Foundations of Emerging Technologies program in the Division of Computing and Communication Foundations and the Established Program to Stimulate Competitive Research (EPSCoR).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.