Literature DB >> 100768

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

G M Studnicka, G M Rahn, I W Cummings, W A Salser.   

Abstract

We present a computer method utilizing published values for base pairing energies to compute the most energetically favorable secondary structure of an RNA from its primary nucleotide sequence. After listing all possible double-helical regions, every pair of mutally incompatible regions (whose nucleotides overlap) is examined to determine whether parts of those two regions can be combined by branch migration to form a pair of compatible new subregions which together are more stable than either of the original regions separately. These subregions are added to the list of base pairing regions which will compete to form the best overall structure. Then, a 'hyperstructure matrix' is generated, containing the unique topological relationship between every pair of regions. We have shown that the best structure can be chosen directly from this matrix, without the necessity of creating and examing every possible secondary structure. We have included the results from our solution of the 5S rRNA of the cyanobacterium Anacystis nidulans as an example of our program's capabilities.

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Year:  1978        PMID: 100768      PMCID: PMC342256          DOI: 10.1093/nar/5.9.3365

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


  10 in total

1.  The architecture of 5S rRNA and its relation to function.

Authors:  G E Fox; C R Woese
Journal:  J Mol Evol       Date:  1975-10-03       Impact factor: 2.395

2.  Method for predicting RNA secondary structure.

Authors:  J M Pipas; J E McMahon
Journal:  Proc Natl Acad Sci U S A       Date:  1975-06       Impact factor: 11.205

3.  The nucleotide sequence of 5 S rRNA from the blue-green alga Anacystis nidulans.

Authors:  M J Corry; P I Payne; T A Dyer
Journal:  FEBS Lett       Date:  1974-09-15       Impact factor: 4.124

4.  Stability of ribonucleic acid double-stranded helices.

Authors:  P N Borer; B Dengler; I Tinoco; O C Uhlenbeck
Journal:  J Mol Biol       Date:  1974-07-15       Impact factor: 5.469

5.  Improved estimation of secondary structure in ribonucleic acids.

Authors:  I Tinoco; P N Borer; B Dengler; M D Levin; O C Uhlenbeck; D M Crothers; J Bralla
Journal:  Nat New Biol       Date:  1973-11-14

6.  Free energy of imperfect nucleic acid helices. II. Small hairpin loops.

Authors:  J Gralla; D M Crothers
Journal:  J Mol Biol       Date:  1973-02-05       Impact factor: 5.469

7.  Free energy of imperfect nucleic acid helices. 3. Small internal loops resulting from mismatches.

Authors:  J Gralla; D M Crothers
Journal:  J Mol Biol       Date:  1973-08-05       Impact factor: 5.469

8.  Estimation of secondary structure in ribonucleic acids.

Authors:  I Tinoco; O C Uhlenbeck; M D Levine
Journal:  Nature       Date:  1971-04-09       Impact factor: 49.962

9.  Prediction of RNA secondary structure.

Authors:  C Delisi; D M Crothers
Journal:  Proc Natl Acad Sci U S A       Date:  1971-11       Impact factor: 11.205

10.  Considerations regarding the regulation of gene transcription and messenger translation.

Authors:  W M Fitch
Journal:  J Mol Evol       Date:  1971       Impact factor: 2.395

  10 in total
  40 in total

1.  Sequence requirement for hand-in-hand interaction in formation of RNA dimers and hexamers to gear phi29 DNA translocation motor.

Authors:  C Chen; C Zhang; P Guo
Journal:  RNA       Date:  1999-06       Impact factor: 4.942

2.  Sequence analysis of cloned cDNA encoding part of an immunoglobulin heavy chain.

Authors:  J Rogers; P Clarke; W Salser
Journal:  Nucleic Acids Res       Date:  1979-07-25       Impact factor: 16.971

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

Review 4.  RNA nanotechnology: engineering, assembly and applications in detection, gene delivery and therapy.

Authors:  Peixuan Guo
Journal:  J Nanosci Nanotechnol       Date:  2005-12

5.  From knotted to nested RNA structures: a variety of computational methods for pseudoknot removal.

Authors:  Sandra Smit; Kristian Rother; Jaap Heringa; Rob Knight
Journal:  RNA       Date:  2008-01-29       Impact factor: 4.942

6.  Nucleic acid secondary structure prediction and display.

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

7.  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

8.  A dynamic programming algorithm for finding alternative RNA secondary structures.

Authors:  A L Williams; I Tinoco
Journal:  Nucleic Acids Res       Date:  1986-01-10       Impact factor: 16.971

Review 9.  Uniqueness, advantages, challenges, solutions, and perspectives in therapeutics applying RNA nanotechnology.

Authors:  Peixuan Guo; Farzin Haque; Brent Hallahan; Randall Reif; Hui Li
Journal:  Nucleic Acid Ther       Date:  2012-08       Impact factor: 5.486

10.  Anti-sense regions in satellite RNA of cucumber mosaic virus form stable complexes with the viral coat protein gene.

Authors:  M A Rezaian; R H Symons
Journal:  Nucleic Acids Res       Date:  1986-04-25       Impact factor: 16.971

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