Review of Research Challenges and Future of in DNA Computing Applications
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- Sapna Jain 9 &
- M. Afshar Alam 9
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DNA computing is a computational development specialty that uses deoxyribonucleic acids to store data and perform complex counts. The use of DNA techniques lies in the way the processor may use DNA particles. For computational evaluation, DNA figuring uses a distinctive methodology. DNA processing analysis and progress are monitors that expect singular particles that fit as a data transporter to measure DNA particles. The use of DNA is for nuclear advancement, which includes information coding. Nuclear scale self-controlling programmable PCs are demonstrated, empowering every information and yield data to be in sub-nuclear structure. This paper presents an examination of the first ongoing advances in desoxyribonucleic corrosive critical thinking, which is a ton of, presents achievements and troubles for experts inside the not hence far-off future. This paper discusses the research challenges and future areas of DNA computing.
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Jain, S., Afshar Alam, M. (2022). Review of Research Challenges and Future of in DNA Computing Applications. In: Dua, M., Jain, A.K., Yadav, A., Kumar, N., Siarry, P. (eds) Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-5747-4_21
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ISSN: 2394-2630. CODEN (USA): JSERBR. DNA Computing Made Simple. Matthew NO Sadiku, Adebowale E Shadare, Sarhan M Musa. Roy G. Perry College of Engineering. Abstract DNA computing is essential ...
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DNA can exist either in single stranded DNA (ssDNA) form, or as a result of two complementary ssDNA binding together via hydrogen bonds to form double-stranded DNA (dsDNA). The two ssDNA are always antiparallel when bound, i.e. one strand has 5' to 3' direction, while the other has a 3' to 5' direction. DNA
Currently, Deoxyribonucleic Acid (DNA) computing is considered as one of the advanced fields of Information Technology (IT) industries. DNA computing is a technique inspired from biological science that makes the use of DNA bases, namely Adenine (A), Guanine (G), Thymine (T), and Cytosine (C), for operations and as an information carrier. L.
Demands on faster information processing speed and denser data storage are catalyzing new computation modes. DNA, as an important biomolecule that carries genetic information, has shown its potential in information processing and storage due to its predictable base pairings and nanoscale size for programmable and high-throughput coding, as well as computing.
DNA computing is an area of natural computing based on the idea that molecu-lar biology processes can be used to perform arithmetic and logic operations on information encoded as DNA strands. The aim of this review is two-fold. First, we introduce the fundamentals of DNA computing, including basics of DNA structure and bio-operations, and two ...
See Fig. 1. The research challenges depend on the type of DNA model used in an application as shown in Fig. 1. 2.1 Autonomous DNA Models Research Limitations. The second era of DNA processing focuses on models are atomic scale, independent, and incompletely programmable calculations are determined by the self-gathering of DNA particles and are regulated by DNA-controlling proteins.
The aim of this manuscript is to illustrate the current state of the art of DNA computing achievements, especially of new approaches or methods contributing to solve either theoretical or application problems. Starting with the NP-problem that Adleman solved by means of wet DNA experiment in 1994, DNA becomes one of appropriate alternatives to overcome the silicon computer limitation. Today ...
1.6 Organization of Chapter. This chapter surveys the eld of DNA computing. The chapter begins in section 1 on the underlying principles. We discuss in section 1.1 about the motivation of molecular and DNA computation. Section 1.2 gives a brief overview of DNA structures.
DNA Computing; Bio-inspired Computing A b s t r a c t DNA computing is a new computing paradigm utilizing actual DNA oligonucleotides to do computation by employing biomolecular tools to get the reaction and outputs extraction. In this paper, we introduce basic architecture of DNA computing.
Here we demonstrate a DIC system by integration of multilayer DNA-based programmable gate arrays (DPGAs). We find that the use of generic single-stranded oligonucleotides as a uniform transmission ...
Computer scientists are joining forces with molecular biologists and chemists to explore the potential for computation using information-carrying biological polymers such as nucleic acids (DNA and RNA). DNA computing is a subset of molecular computing. The key feature of DNA for computing is its information content. The self-assembly properties of DNA suggest an indirect application to ...
Currently, Deoxyribonucleic Acid (DNA) computing is considered as one of the advanced fields of Information Technology (IT) industries. DNA computing is a technique inspired from biological science that makes the use of DNA bases, namely Adenine (A), Guanine (G), Thymine (T), and Cytosine (C), for operations and as an information carrier. L.
there were several competing models of DNA computing. Adleman's choice to solve a problem that is known to be NP-complete put exceedingly high expectations on DNA computing and resulted in some constructive criticism in the form a brief complexity analysis by Hartmanis (1995). In this paper,
DNA computing is a branch of biomolecular computing concerned with the use of DNA as a carrier of information to make arithmetic and logic operations. Latest Research and Reviews
Researchers work on computationally intensive problems like Hamiltonian path and Traveling Salesman problem thrived the need of DNA Computing. DNA computing is a secure and efficient way to solve computationally intensive problems. [1] Now a days it is a significant area of research and technology. DNA encodes within itself huge information in a secure and efficient way hence providing a ...