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
Link To Document :
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