How We Simulate DNA Origami.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Sarah Haggenmueller, Michael Matthies, Matthew Sample, Petr Šulc
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引用次数: 0

Abstract

DNA origami consists of a long scaffold strand and short staple strands that self-assemble into a target 2D or 3D shape. It is a widely used construct in nucleic acid nanotechnology, offering a cost-effective way to design and create diverse nanoscale shapes. With promising applications in areas such as nanofabrication, diagnostics, and therapeutics, DNA origami has become a key tool in the bionanotechnology field. Simulations of these structures can offer insight into their shape and function, thus speeding up and simplifying the design process. However, simulating these structures, often comprising thousands of base pairs, poses challenges due to their large size. OxDNA, a coarse-grained model specifically designed for DNA nanotechnology, offers powerful simulation capabilities. Its associated ecosystem of visualization and analysis tools can complement experimental work with in silico characterization. This tutorial provides a general approach to simulating DNA origami structures using the oxDNA ecosystem, tailored for experimentalists looking to integrate computational analysis into their design workflow.

DNA 折纸由一条长的支架链和短的主链组成,可自组装成目标的二维或三维形状。它是核酸纳米技术中广泛使用的一种构造,为设计和创建各种纳米级形状提供了一种经济有效的方法。DNA 折纸在纳米制造、诊断和治疗等领域的应用前景广阔,已成为仿生技术领域的重要工具。对这些结构进行模拟可以深入了解其形状和功能,从而加快和简化设计过程。然而,由于这些结构通常由数千个碱基对组成,其庞大的体积给模拟工作带来了挑战。OxDNA 是专为 DNA 纳米技术设计的粗粒度模型,具有强大的模拟能力。其相关的可视化和分析工具生态系统可以通过硅表征补充实验工作。本教程提供了使用 oxDNA 生态系统模拟 DNA 折纸结构的一般方法,适合希望将计算分析整合到设计工作流程中的实验人员。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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