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PMID: 1695107 Published · ppublish English Journal Article

The equilibrium partition function and base pair binding probabilities for RNA secondary structure.

Biopolymers ·Vol. 29 ·No. 6-7 ·1990-00-00 ·Pages 1105-19

McCaskill JS

Abstract

A novel application of dynamic programming to the folding problem for RNA enables one to calculate the full equilibrium partition function for secondary structure and the probabilities of various substructures. In particular, both the partition function and the probabilities of all base pairs are computed by a recursive scheme of polynomial order N3 in the sequence length N. The temperature dependence of the partition function gives information about melting behavior for the secondary structure. The pair binding probabilities, the computation of which depends on the partition function, are visually summarized in a "box matrix" display and this provides a useful tool for examining the full ensemble of probable alternative equilibrium structures. The calculation of this ensemble representation allows a proper application and assessment of the predictive power of the secondary structure method, and yields important information on alternatives and intermediates in addition to local information about base pair opening and slippage. The results are illustrated for representative tRNA, 5S RNA, and self-replicating and self-splicing RNA molecules, and allow a direct comparison with enzymatic structure probes. The effect of changes in the thermodynamic parameters on the equilibrium ensemble provides a further sensitivity check to the predictions.

MeSH Terms
Animals Base Composition Base Sequence Escherichia coli/genetics Molecular Sequence Data Nucleic Acid Conformation Probability RNA/metabolism RNA, Bacterial/metabolism RNA, Catalytic RNA, Ribosomal/metabolism RNA, Ribosomal, 5S/metabolism RNA, Transfer, Amino Acid-Specific/metabolism RNA, Transfer, Phe/metabolism Tetrahymena/genetics Thermodynamics
Chemicals
RNA, Bacterial RNA, Catalytic RNA, Ribosomal RNA, Ribosomal, 5S RNA, Transfer, Amino Acid-Specific RNA, Transfer, Phe RNA
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
McCaskill J S
Max-Planck Institut für Biophysikalische Chemie, Göttingen, Federal Republic of Germany.
Article Info
Journal
Biopolymers
Abbr.
Biopolymers
ISSN
0006-3525
Published
1990-00-00
Pages
1105-19
Language
English
Region
United States
NLM ID
0372525
Subset
IM
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