Evidence map›Paper›PMID 39323422›Full record

ArticleNanoscale advances2024

Scalable DNA recognition circuits based on DNA strand displacement.

Fang Wang, Beiyu Shi, Ying Chen, Xiaolong Shi, Zheng Kou, Xiaoli Qiang

Abstract read
In one paragraph

Article in Nanoscale advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Fang WangSchool of Computer Science and Cyber Engineering, GuangZhou University Guangzhou 510006 China qiangxl@gzhu.edu.cn.ORCID https://orcid.org/0000-0002-7217-3993
Beiyu ShiInstitute of Computing Science and Technology, Guangzhou University Guangzhou 510006 China.
Ying ChenInstitute of Computing Science and Technology, Guangzhou University Guangzhou 510006 China.ORCID https://orcid.org/0009-0007-0931-5657
Xiaolong ShiInstitute of Computing Science and Technology, Guangzhou University Guangzhou 510006 China.ORCID https://orcid.org/0000-0002-1838-8643
Zheng KouInstitute of Computing Science and Technology, Guangzhou University Guangzhou 510006 China.ORCID https://orcid.org/0000-0003-4758-2872
Xiaoli QiangSchool of Computer Science and Cyber Engineering, GuangZhou University Guangzhou 510006 China qiangxl@gzhu.edu.cn.ORCID https://orcid.org/0000-0001-9328-0774

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA is a kind of nano-molecule considered to be computable on the molecular level, and the precise Watson-Crick principle of base pairing has made it possible for DNA to be a novel computer material. The DNA strand displacement technology has greatly facilitated the development of DNA computing in both logical and intelligent computation. In this paper, we proposed and implemented a molecular recognition circuit based on DNA strand displacement, which can achieve recognition and summation functions. This circuit has a simple molecular composition and is easily scalable. A cross-inhibition module was integrated based upon the molecular recognition circuit to construct a molecular comparator. Considering the advantages of modularity and the experimental feasibility of a scalable recognition circuit, it could be used as a pattern signal recognition and classification module in smart molecular circuits or biosensors.

Identifiers

PMID39323422
PMCPMC11421530

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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.