Engineered 3D DNA Crystals: A Molecular Design Perspective.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Baoshuo Cai, Xiao Rong, Yifan Sun, Longfei Liu, Zhe Li
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引用次数: 0

Abstract

Recent advances in biomolecular self-assembly have transformed material science, enabling the creation of novel materials with unparalleled precision and functionality. Among these innovations, 3D DNA crystals have emerged as a distinctive class of macroscopic materials, engineered through the bottom-up approach by DNA self-assembly. These structures uniquely combine precise molecular ordering with high programmability, establishing their importance in advanced material design. This review delves into the molecular design of engineered 3D DNA crystals, classifying current crystal structures based on "crystal bond orientations" and examining key aspects of in-silico molecular design, self-assembly, and crystal modifications. The functionalization of 3D DNA crystals for applications in crystallization scaffolding, biocatalysis, biosensing, electrical and optical devices, as well as in the emerging fields of DNA computing and data storage are explored. Finally, the ongoing challenges are addressed and future directions to advance the field of engineered 3D DNA crystals are proposed.

工程3D DNA晶体:分子设计的角度。
生物分子自组装的最新进展已经改变了材料科学,使创造具有无与伦比的精度和功能的新材料成为可能。在这些创新中,3D DNA晶体已经成为一类独特的宏观材料,通过DNA自组装自下而上的方法进行设计。这些结构独特地结合了精确的分子排序和高可编程性,确立了它们在先进材料设计中的重要性。这篇综述深入研究了工程3D DNA晶体的分子设计,根据“晶体键取向”对当前的晶体结构进行分类,并研究了硅分子设计、自组装和晶体修饰的关键方面。探讨了三维DNA晶体的功能化在结晶支架、生物催化、生物传感、光电器件以及DNA计算和数据存储等新兴领域的应用。最后,讨论了目前存在的挑战,并提出了工程3D DNA晶体领域的未来发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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