DocumentCode :
3382136
Title :
Approximating algorithm for RNA structure prediction including pseudoknots
Author :
Zhendong Liu ; Yuxiao Dong ; Hengwu Li ; Huijian Han
Author_Institution :
Sch. of Comput. Sci. & Technol., Shandong Jianzhu Univ., Jinan, China
fYear :
2011
fDate :
15-16 Aug. 2011
Firstpage :
325
Lastpage :
329
Abstract :
RNA structure and tertiary structure could be represented by a set of nested arcs and a set of crossing arcs. Based on the relative stability of the stems in RNA molecules, an approximating algorithm is presented to predict RNA pseudoknotted structure, the algorithm takes O(n3) time and O(n) space, the algorithm outperforms other known algorithms in predicting accuracy. 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 subsequences in PseudoBase confirm that the algorithm has good sensitivity and specificity, and are among the most reasonable in the literature.
Keywords :
approximation theory; biology computing; computational complexity; macromolecules; organic compounds; stability; RNA molecules; RNA pseudoknotted structure prediction approximation algorithm; tertiary structure; time complexity; Accuracy; Algorithm design and analysis; Approximation algorithms; Complexity theory; Heuristic algorithms; Prediction algorithms; RNA; Approximating algorithm; NP-complete; RNA structure; Stem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics (ICAL), 2011 IEEE International Conference on
Conference_Location :
Chongqing
ISSN :
2161-8151
Print_ISBN :
978-1-4577-0301-0
Electronic_ISBN :
2161-8151
Type :
conf
DOI :
10.1109/ICAL.2011.6024736
Filename :
6024736
Link To Document :
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