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
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