Chen Congzhou, Wen Jinda, Wen Zhibin, Song Sijie, Shi Xiaolong
School of Computer Science, Beijing University of Technology, Beijing, China.
Institute of Computing Science and Technology, Guangzhou University, Guangzhou, China.
Front Genet. 2023 Feb 22;14:1120791. doi: 10.3389/fgene.2023.1120791. eCollection 2023.
DNA computing has become the focus of computing research due to its excellent parallel processing capability, data storage capacity, and low energy consumption characteristics. DNA computational units can be precisely programmed through the sequence specificity and base pair principle. Then, computational units can be cascaded and integrated to form large DNA computing systems. Among them, DNA strand displacement (DSD) is the simplest but most efficient method for constructing DNA computing systems. The inputs and outputs of DSD are signal strands that can be transferred to the next unit. DSD has been used to construct logic gates, integrated circuits, artificial neural networks, etc. This review introduced the recent development of DSD-based computational systems and their applications. Some DSD-related tools and issues are also discussed.
由于其出色的并行处理能力、数据存储容量和低能耗特性,DNA计算已成为计算研究的焦点。DNA计算单元可以通过序列特异性和碱基对原理进行精确编程。然后,计算单元可以级联和集成以形成大型DNA计算系统。其中,DNA链置换(DSD)是构建DNA计算系统最简单但最有效的方法。DSD的输入和输出是可以转移到下一个单元的信号链。DSD已被用于构建逻辑门、集成电路、人工神经网络等。本文综述介绍了基于DSD的计算系统及其应用的最新进展。还讨论了一些与DSD相关的工具和问题。