Partition function and base pairing probabilities for RNA–RNA interaction prediction
Author(s) -
Fenix W. D. Huang,
Jing Qin,
Christian M. Reidys,
Peter F. Stadler
Publication year - 2009
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btp481
Subject(s) - rna , computer science , partition function (quantum field theory) , nucleic acid secondary structure , theoretical computer science , pseudoknot , folding (dsp implementation) , base pair , time complexity , algorithm , computational biology , physics , biology , genetics , dna , quantum mechanics , gene , electrical engineering , engineering
The RNA-RNA interaction problem (RIP) consists in finding the energetically optimal structure of two RNA molecules that bind to each other. The standard model allows secondary structures in both partners as well as additional base pairs between the two RNAs subject to certain restrictions that ensure that RIP is solvabale by a polynomial time dynamic programming algorithm. RNA-RNA binding, like RNA folding, is typically not dominated by the ground state structure. Instead, a large ensemble of alternative structures contributes to the interaction thermodynamics.
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