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ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
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Research Article

DNA Computation: Applications and Perspectives

Somnath Tagore1*, Saurav Bhattacharya2, Md Ataul Islam3 and Md Lutful Islam4

1Department of Bioinformatics, Dr. D.Y. Patil University, Navi Mumbai, India

2Department of Molecular Biology & Biotechnology, University of Kalyani, India

3Department of Chemical Technology, University of Calcutta, India

4Department of Computer Science, MH Saboo Siddique College of Engg., Mumbai, India

*Corresponding Author:
Dr. Somnath Tagore
Department of Bioinformatics
Dr. D.Y. Patil University
Navi Mumbai, India
E-mail: [email protected]

Received Date: June 12, 2010; Accepted Date: June 29, 2010; Published Date: June 29, 2010

Citation: Tagore S, Bhattacharya S, Islam MA, Islam ML (2010) DNA Computation: Applications and Perspectives. J Proteomics Bioinform 3: 234-243. doi: 10.4172/jpb.1000145

Copyright: © 2010 Tagore S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


The computational capability of living systems has intrigued researchers for years. Primarily, the focus has been on implementing aspects of living systems in computational devices. Computer literal peoples expand their hand to the molecular biologist and chemist to explore the potential for computation of biological molecules line Deoxyribonucleic Acid (DNA) and Ribonucleic Acid (RNA) which are information carrying molecules. In this context, DNA computation is basically a collection of specially selected DNA strands whose combinations will result in the solution to some problems. DNA computation rather DNA-based computing is at the intersection of several threads of research. Main advantages of DNA computation are miniaturization and parallelism over conventional silicon-based machines. The informationbearing capability of DNA molecules is a cornerstone of modern theories of genetics and molecular biology. In this paper we have tried to focus on some key issues regarding the used and implementation DNA-based devices in life science field. We have also tried to suggest its advantage over silicon computers.


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