High-efficiency and integrable DNA arithmetic and logic system based on strand displacement synthesis
Haomiao Su,
Jinglei Xu,
Qi Wang,
Fuan Wang and
Xiang Zhou ()
Additional contact information
Haomiao Su: Wuhan University
Jinglei Xu: Wuhan University
Qi Wang: Wuhan University
Fuan Wang: Wuhan University
Xiang Zhou: Wuhan University
Nature Communications, 2019, vol. 10, issue 1, 1-8
Abstract:
Abstract Powerful information processing and ubiquitous computing are crucial for all machines and living organisms. The Watson-Crick base-pairing principle endows DNA with excellent recognition and assembly abilities, which facilitates the design of DNA computers for achieving intelligent systems. However, current DNA computational systems are always constrained by poor integration efficiency, complicated device structures or limited computational functions. Here, we show a DNA arithmetic logic unit (ALU) consisting of elemental DNA logic gates using polymerase-mediated strand displacement. The use of an enzyme resulted in highly efficient logic gates suitable for multiple and cascaded computation. Based on our basic single-rail DNA configuration, additional combined logic gates (e.g., a full adder and a 4:1 multiplexer) have been constructed. Finally, we integrate the gates and assemble the crucial ALU. Our strategy provides a facile strategy for assembling a large-scale complex DNA computer system, highlighting the great potential for programming the molecular behaviors of complicated biosystems.
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41467-019-13310-2 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13310-2
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-019-13310-2
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().