DocumentCode :
523624
Title :
Molecular Beacon-Based DNA Computing Model for Maximum Independent Set Problem
Author :
Zhixiang, Yin ; Bosheng, Song ; Cheng, Zhen ; Cheng, Hua
Author_Institution :
Dept. of Math. & Phys., Anhui Univ. of Sci. & Technol., Huainan, China
Volume :
2
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
732
Lastpage :
735
Abstract :
Maximum independent set problem is the core issue in NP-complete problems, many problems can be transformed into the maximum independent set problems to solve, so design a good algorithm for solving the problem is very necessary. Molecular beacon is a hairpin-shaped fluorescent probe, which can hybridize with target sequence that is complement to its loop sequence. The specificity of molecular beacon is as high as single base mismatch detection. In this paper, molecular beacon is as for probe, to separation and detection all of the independent sets, finally by observing the fluorescence to determine whether or not the solution is existence. At the same time, in the establishment of the initial data pool, only one type of DNA molecules was synthesized. In the calculation process, the model does not require the restriction enzyme digestion, gel electrophoresis etc.. These steps may avoid possible computational errors and data loss; at the same time, the algorithm also has easy code and reading solution.
Keywords :
biocomputing; computational complexity; DNA computing model; DNA molecules; NP complete problems; gel electrophoresis; hairpin shaped fluorescent probe; maximum independent set problem; molecular beacon; restriction enzyme digestion; DNA computing; Design automation; Fluorescence; Mathematical model; NP-complete problem; Peptides; Physics computing; Probes; Sequences; Switches; DNA computing; independent set; molecular beacon; peptide nucleic acid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.107
Filename :
5522708
Link To Document :
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