Evidence map›Paper›PMID 36834996›Full record

ArticleInternational journal of molecular sciences2023

A DNA Finite-State Machine Based on the Programmable Allosteric Strategy of DNAzyme.

Jun Wang, Xiaokang Zhang, Peijun Shi, Ben Cao, Bin Wang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jun WangKey Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, School of Software Engineering, Dalian University, Dalian 116622, China.
Xiaokang ZhangSchool of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.ORCID 0000-0001-6933-068X
Peijun ShiSchool of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.
Ben CaoSchool of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.
Bin WangKey Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, School of Software Engineering, Dalian University, Dalian 116622, China.ORCID 0000-0002-8800-000X

Funding

Liao Ning Revitalization Talents Program XLYC2008017National Key Technology R&D Program of China 2018YFC0910500National Natural Science Foundation of China 61802040National Natural Science Foundation of China 61972266National Natural Science Foundation of China 62272079Natural Science Foundation of Liaoning Province 2021-KF-11-03Natural Science Foundation of Liaoning Province 2021-MS-344Natural Science Foundation of Liaoning Province 2022-KF-12-14the Innovation and Entrepreneurship Team of Dalian University XQN202008
6 · The paper itself

Abstract

Living organisms can produce corresponding functions by responding to external and internal stimuli, and this irritability plays a pivotal role in nature. Inspired by such natural temporal responses, the development and design of nanodevices with the ability to process time-related information could facilitate the development of molecular information processing systems. Here, we proposed a DNA finite-state machine that can dynamically respond to sequential stimuli signals. To build this state machine, a programmable allosteric strategy of DNAzyme was developed. This strategy performs the programmable control of DNAzyme conformation using a reconfigurable DNA hairpin. Based on this strategy, we first implemented a finite-state machine with two states. Through the modular design of the strategy, we further realized the finite-state machine with five states. The DNA finite-state machine endows molecular information systems with the ability of reversible logic control and order detection, which can be extended to more complex DNA computing and nanomachines to promote the development of dynamic nanotechnology.

Indexed as

DNA, CatalyticDNALogicNanotechnologyDNADNA, Catalyticallosteric DNAzymeDNA strand displacementfinite-state machinenanomachine

Identifiers

PMID36834996
PMCPMC9963683

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.