Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article 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.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992816 | PMC |
| http://dx.doi.org/10.3389/fgene.2023.1120791 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Exploration of Comprehensive Structural and Functional Potential of Recombinant Proteins Using Cutting-Edge Bioinformatics Tools.
Appl Biochem Biotechnol
September 2025
School of Biological Sciences, University of the Punjab, Quaid-E-Azam Campus, P.O. 54590, Lahore, Pakistan.
Recombinant DNA technology is widely used to produce industrially and pharmaceutically important proteins. In silico analysis, performed before executing wet lab experiments has been greatly helpful in this connection. A shift in protein analysis has been observed over the past decade, driven by advancements in bioinformatics databases, tools, software, and web servers.
View Article and Find Full Text PDFBlood-based DNA methylation markers for autism spectrum disorder identification using machine learning.
Epigenomics
September 2025
College of Physical Education, Yangzhou University, Yangzhou, China.
Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder lacking objective biomarkers for early diagnosis. DNA methylation is a promising epigenetic marker, and machine learning offers a data-driven classification approach. However, few studies have examined whole-blood, genome-wide DNA methylation profiles for ASD diagnosis in school-aged children.
View Article and Find Full Text PDFLactococcal mobile genetic elements harbour a diverse phage defensome rich in restriction-modification systems.
Nucleic Acids Res
September 2025
School of Microbiology, University College Cork, Cork, T12 Y337, Ireland.
The genomes of 43 distinct lactococcal strains were reconstructed by a combination of long- and short-read sequencing, resolving the plasmid complement and methylome of these strains. The genomes comprised 43 chromosomes of approximately 2.5 Mb each and 269 plasmids ranging from 2 to 211 kb (at an average occurrence of 6 per strain).
View Article and Find Full Text PDFA Vision of How Low-Coverage Sequence Data Should Contribute to Genetic Evaluation in the Future.
J Anim Sci
September 2025
USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE, 68933 USA.
Low-coverage sequencing refers to sequencing DNA of individuals to a low depth of coverage (e.g., 0.
View Article and Find Full Text PDFSuper-Resolution Compatible DNA Labeling Technique Reveals Chromatin Mobility and Organization Changes During Differentiation.
Adv Sci (Weinh)
September 2025
Cell Biology and Epigenetics, Department of Biology, Technical University of Darmstadt, 64287, Darmstadt, Germany.
Chromatin dynamics play a crucial role in cellular differentiation, yet tools for studying global chromatin mobility in living cells remain limited. Here, a novel probe is developeded for the metabolic labeling of chromatin and tracking its mobility during neural differentiation. The labeling system utilizes a newly developed silicon rhodamine-conjugated deoxycytidine triphosphate (dCTP).
View Article and Find Full Text PDF