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IEICE TRANSACTIONS on Fundamentals

Approximation Algorithms for Optimal RNA Secondary Structures Common to Multiple Sequences

Takeyuki TAMURA, Tatsuya AKUTSU

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Summary :

It is well known that a basic version (i.e., maximizing the number of base-pairs) of the RNA secondary structure prediction problem can be solved in O(n3) time by using simple dynamic programming procedures. For this problem, an O(n3(log log n)1/2/(log n)1/2) time exact algorithm and an O(n2.776+(1/ε)O(1)) time approximation algorithm which has guaranteed approximation ratio 1-ε for any positive constant ε are also known. Moreover, when two RNA sequences are given, there is an O(n6) time exact algorithm which can optimize structure and alignments. In this paper, we show an O(n5) time approximation algorithm for optimizing structure and alignments of two RNA sequences with assuming that the optimal number of base-pairs is more than O(n0.75). We also show that the problem to optimize structure and alignments for given N sequences is NP-hard and introduce a constant-factor approximation algorithm.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E90-A No.5 pp.917-923
Publication Date
2007/05/01
Publicized
Online ISSN
1745-1337
DOI
10.1093/ietfec/e90-a.5.917
Type of Manuscript
Special Section PAPER (Special Section on Discrete Mathematics and Its Applications)
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