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Efficient algorithm for RNA pseudoknotted secondary structure prediction given a pseudoknot free structure

2005

Pseudoknotted secondary structure prediction of nucleic acid molecules is an important problem in computational molecular biology. In this thesis, we introduce a Pseudoknot-Add algorithm for the problem of Predicting Pseudoknot Additions. In this problem, one is given as input a sequence S and pseudoknot free structure G, and the goal is to find the minimum free energy pseudoknotted structure R for S, that contains G. The Pseudoknot-Add algorithm has an overall time complexity of 0(n3), and a

doi:10.14288/1.0051636
fatcat:x2ydmptl4ze4djtflgtbl7m5v4