Fast evaluation of internal loops in RNA secondary structure prediction.
Author(s) -
R B Lyngs√∏,
Michael Zuker,
Clara Nautrup Pedersen
Publication year - 1999
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/15.6.440
Subject(s) - heuristics , computer science , rna , nucleic acid secondary structure , algorithm , source code , protein structure prediction , heuristic , bounded function , nucleic acid structure , protein structure , mathematics , biology , artificial intelligence , mathematical analysis , biochemistry , gene , operating system
Though not as abundant in known biological processes as proteins, RNA molecules serve as more than mere intermediaries between DNA and proteins. Research in the last 15 years demonstrates that RNA molecules serve in many roles, including catalysis. Furthermore, RNA secondary structure prediction based on free energy rules for stacking and loop formation remains one of the few major breakthroughs in the field of structure prediction, as minimum free energy structures and related quantities can be computed with full mathematical rigor. However, with the current energy parameters, the algorithms used hitherto suffer the disadvantage of either employing heuristics that risk (though highly unlikely) missing the optimal structure or becoming prohibitively time consuming for moderate to large sequences.
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