Algorithm independent properties of RNA secondary structure predictions View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

1996-12

AUTHORS

Manfred Tacker, Peter F. Stadler, Erich G. Bornberg-Bauer, Ivo L. Hofacker, P. Schuster

ABSTRACT

Algorithms predicting RNA secondary structures based on different folding criteria – minimum free energies (mfe), kinetic folding (kin), maximum matching (mm) – and different parameter sets are studied systematically. Two base pairing alphabets were used: the binary GC and the natural four-letter AUGC alphabet. Computed structures and free energies depend strongly on both the algorithm and the parameter set. Statistical properties, such as mean number of base pairs, mean numbers of stacks, mean loop sizes, etc., are much less sensitive to the choice of parameter set and even of algorithm. Some features of RNA secondary structures, such as structure correlation functions, shape space covering and neutral networks, seem to depend only on the base pairing logic (GC or AUGC alphabet). More... »

PAGES

115-130

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s002490050023

DOI

http://dx.doi.org/10.1007/s002490050023

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1047249964


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