Throwing and manipulating and cheating with a DNA nano-dice

Xiaochen Tang, Tianshu Chen, Wenxing Li, Dongsheng Mao, Chenbin Liu, Qi Wu, Nan Huang, Song Hu, Fenyong Sun (), Qiuhui Pan () and Xiaoli Zhu ()
Additional contact information
Xiaochen Tang: Shanghai Jiao Tong University
Tianshu Chen: Shanghai Jiao Tong University
Wenxing Li: Shanghai Tenth People’s Hospital of Tongji University
Dongsheng Mao: Shanghai Tenth People’s Hospital of Tongji University
Chenbin Liu: Shanghai Tenth People’s Hospital of Tongji University
Qi Wu: Shanghai Tenth People’s Hospital of Tongji University
Nan Huang: Shanghai Tenth People’s Hospital of Tongji University
Song Hu: Shanghai Tenth People’s Hospital of Tongji University
Fenyong Sun: Shanghai Tenth People’s Hospital of Tongji University
Qiuhui Pan: Shanghai Jiao Tong University
Xiaoli Zhu: Shanghai Tenth People’s Hospital of Tongji University

Nature Communications, 2023, vol. 14, issue 1, 1-13

Abstract: Abstract Artificial molecular machines have captured the imagination of researchers, given their clear potential to mimic and influence human life. Key to behavior simulation is to reproduce the specific properties of physical or abstract systems. Dice throwing, as a stochastic model, is commonly used for result judgment or plan decision in real life. In this perspective we utilize DNA cube framework for the design of a dice device at the nanoscale to reproduce probabilistic events in different situations: equal probability, high probability, and low probability. We first discuss the randomness of DNA cube, or dice, adsorbing on graphene oxide, or table, and then explore a series of events that change the probability through the way in which the energy released from entropy-driven strand displacement reactions or changes in intermolecular forces. As such, the DNA nano-dice system provides guideline and possibilities for the design, engineering, and quantification of behavioral probability simulation, a currently emerging area of molecular simulation research.

Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-023-38164-7 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:14:y:2023:i:1:d:10.1038_s41467-023-38164-7

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-023-38164-7

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 ().