DNA strand displacement based computational systems and their applications

Congzhou Chen; Jinda Wen; Zhibin Wen; Sijie Song; Xiaolong Shi

doi:10.3389/fgene.2023.1120791

DNA strand displacement based computational systems and their applications

Front Genet. 2023 Feb 22:14:1120791. doi: 10.3389/fgene.2023.1120791. eCollection 2023.

Authors

Congzhou Chen¹, Jinda Wen², Zhibin Wen², Sijie Song², Xiaolong Shi²

Affiliations

¹ School of Computer Science, Beijing University of Technology, Beijing, China.
² Institute of Computing Science and Technology, Guangzhou University, Guangzhou, China.

Abstract

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.

Keywords: DNA computing; DNA strand displacement; artificial neural networks; cancer detection; integrated circuits.

Publication types

Review

Grants and funding

This work was supported by the National Key R&D Program of China (grant 2019YFA0706402), and the National Natural Science Foundation of China under grants 62272009, 62172302, 61772376, and 62072129.