| Review Article |
Open Access |
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| DNA Computation: Applications and Perspectives |
| Somnath Tagore 1*, 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: somnathtagore@yahoo.co.in |
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| Received June 12, 2010; Accepted June 29, 2010; Published June 29, 2010 |
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| Citation:Tagore S, Bhattacharya S, Islam MA, Dey S, Islam ML (2010) DNA
Computation: Applications and Perspectives. J Proteomics Bioinform 3: 234-243.
doi:10.4172/jpb.1000145 |
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| 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. |
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| Abstract |
| 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
fi eld. We have also tried to suggest its advantage over silicon computers. |
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