Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Life Sciences, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan, 410082, China; Center for Research at Bio/Nano Interface, Department of Chemistry and Department of Physiology and Functional Genomics, Shands Cancer Center, UF Genetics Institute and McKnight Brain Institute, University of Florida, Gainesville, Florida 32611-7200, USA; Joint first authors.
Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Life Sciences, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan, 410082, China; Center for Research at Bio/Nano Interface, Department of Chemistry and Department of Physiology and Functional Genomics, Shands Cancer Center, UF Genetics Institute and McKnight Brain Institute, University of Florida, Gainesville, Florida 32611-7200, USA; Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China; Joint first authors.
Trends Biochem Sci. 2018 Jul;43(7):547-560. doi: 10.1016/j.tibs.2018.04.010. Epub 2018 May 21.
Deriving from logical and mechanical interactions between DNA strands and complexes, DNA-based artificial reaction networks (RNs) are attractive for their high programmability, as well as cascading and fan-out ability, which are similar to the basic principles of electronic logic gates. Arising from the dream of creating novel computing mechanisms, researchers have placed high hopes on the development of DNA-based dynamic RNs and have strived to establish the basic theories and operative strategies of these networks. This review starts by looking back on the evolution of DNA dynamic RNs; in particular' the most significant applications in biochemistry occurring in recent years. Finally, we discuss the perspectives of DNA dynamic RNs and give a possible direction for the development of DNA circuits.
源于 DNA 链和复合物之间的逻辑和机械相互作用,基于 DNA 的人工反应网络(RNs)具有很高的可编程性,以及级联和扇出能力,这类似于电子逻辑门的基本原理。基于创造新型计算机制的梦想,研究人员对基于 DNA 的动态 RNs 的发展寄予厚望,并努力建立这些网络的基本理论和操作策略。本综述首先回顾 DNA 动态 RNs 的发展历程;特别是近年来在生物化学中最重要的应用。最后,我们讨论了 DNA 动态 RNs 的前景,并为 DNA 电路的发展给出了一个可能的方向。