• 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