• DocumentCode
    2707186
  • Title

    Improved approximation algorithm of RNA structure prediction with pseudoknots

  • Author

    Liu, Zhendong ; Zhu, Daming

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
  • fYear
    2012
  • fDate
    6-8 June 2012
  • Firstpage
    906
  • Lastpage
    910
  • Abstract
    Based on MFE principle and the relative stability of the n-stems in RNA molecules, Minimum free energy method is adopted widely to predict RNA secondary structure, an improved approximation algorithm is presented to predict RNA pseudoknotted structure, the algorithm can solve arbitrary nested or parallel pseudoknots the algorithm takes O(n3) time and O(n2) space. This algorithm not only reduces the time complexity to O(n3), but also widens the maximum length of the sequence. The preliminary experimental test on the RNA sub-sequences in PseudoBase confirm that the algorithm outperforms other known algorithms in predicting accuracy, sensitivity and specificity.
  • Keywords
    RNA; approximation theory; bioinformatics; computational complexity; MFE principle; PseudoBase; RNA molecules; RNA pseudoknotted structure prediction; RNA secondary structure prediction; RNA structure prediction; approximation algorithm; arbitrary nested; minimum free energy method; n-stems; parallel pseudoknots; relative stability; time complexity reduction; Accuracy; Algorithm design and analysis; Approximation algorithms; Complexity theory; Heuristic algorithms; Prediction algorithms; RNA; Approximation algorithm; Pseudoknots; RNA structure; n-Stem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2012 International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4673-2238-6
  • Electronic_ISBN
    978-1-4673-2236-2
  • Type

    conf

  • DOI
    10.1109/ICInfA.2012.6246911
  • Filename
    6246911