Literature DB >> 6198621

An RNA folding rule.

H M Martinez.   

Abstract

The folding of single-stranded RNA into its secondary structure is postulated to be equivalent to the simple rule that the next double-helical region (stem) to form is the one with the largest equilibrium constant. The rule is tested and shown to give results consistent with the enzyme cleavage data of several sequences. Computational time complexity is of order NxN for a sequence of N bases. A modification of the rule provides for the probabilistic choice of the next stem among those having an equilibrium constant within a specified range of the largest. Populations of competing structures are thus generated for detecting common characteristics and for assessing the applicability of the simple rule.

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Year:  1984        PMID: 6198621      PMCID: PMC321007          DOI: 10.1093/nar/12.1part1.323

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  5 in total

1.  Computer method for predicting the secondary structure of single-stranded RNA.

Authors:  G M Studnicka; G M Rahn; I W Cummings; W A Salser
Journal:  Nucleic Acids Res       Date:  1978-09       Impact factor: 16.971

2.  Some molecular details of the secondary structure of ribonucleic acid.

Authors:  J R FRESCO; B M ALBERTS; P DOTY
Journal:  Nature       Date:  1960-10-08       Impact factor: 49.962

3.  Globin mRNA sequences: analysis of base pairing and evolutionary implications.

Authors:  W Salser
Journal:  Cold Spring Harb Symp Quant Biol       Date:  1978

4.  Optimal computer folding of large RNA sequences using thermodynamics and auxiliary information.

Authors:  M Zuker; P Stiegler
Journal:  Nucleic Acids Res       Date:  1981-01-10       Impact factor: 16.971

5.  Efficient algorithms for folding and comparing nucleic acid sequences.

Authors:  J P Dumas; J Ninio
Journal:  Nucleic Acids Res       Date:  1982-01-11       Impact factor: 16.971

  5 in total
  25 in total

1.  Predicting secondary structural folding kinetics for nucleic acids.

Authors:  Peinan Zhao; Wen-Bing Zhang; Shi-Jie Chen
Journal:  Biophys J       Date:  2010-04-21       Impact factor: 4.033

2.  BarMap: RNA folding on dynamic energy landscapes.

Authors:  Ivo L Hofacker; Christoph Flamm; Christian Heine; Michael T Wolfinger; Gerik Scheuermann; Peter F Stadler
Journal:  RNA       Date:  2010-05-26       Impact factor: 4.942

3.  Prediction of RNA secondary structure, including pseudoknotting, by computer simulation.

Authors:  J P Abrahams; M van den Berg; E van Batenburg; C Pleij
Journal:  Nucleic Acids Res       Date:  1990-05-25       Impact factor: 16.971

4.  The computer simulation of RNA folding involving pseudoknot formation.

Authors:  A P Gultyaev
Journal:  Nucleic Acids Res       Date:  1991-05-11       Impact factor: 16.971

5.  Nucleic acid secondary structure prediction and display.

Authors:  K Stüber
Journal:  Nucleic Acids Res       Date:  1986-01-10       Impact factor: 16.971

6.  Prediction of alternative RNA secondary structures based on fluctuating thermodynamic parameters.

Authors:  S Y Le; J H Chen; J V Maizel
Journal:  Nucleic Acids Res       Date:  1993-05-11       Impact factor: 16.971

Review 7.  RNA structure and the regulation of gene expression.

Authors:  P Klaff; D Riesner; G Steger
Journal:  Plant Mol Biol       Date:  1996-10       Impact factor: 4.076

8.  Nucleotide sequence of the myxobacterial hemagglutinin gene contains four homologous domains.

Authors:  J M Romeo; B Esmon; D R Zusman
Journal:  Proc Natl Acad Sci U S A       Date:  1986-09       Impact factor: 11.205

9.  Predicting antisense oligonucleotide inhibitory efficacy: a computational approach using histograms and thermodynamic indices.

Authors:  R A Stull; L A Taylor; F C Szoka
Journal:  Nucleic Acids Res       Date:  1992-07-11       Impact factor: 16.971

10.  CyloFold: secondary structure prediction including pseudoknots.

Authors:  Eckart Bindewald; Tanner Kluth; Bruce A Shapiro
Journal:  Nucleic Acids Res       Date:  2010-05-25       Impact factor: 16.971

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