Literature DB >> 4022782

Prediction of splice junctions in mRNA sequences.

K Nakata, M Kanehisa, C DeLisi.   

Abstract

A general method based on the statistical technique of discriminant analysis is developed to distinguish boundaries of coding and non-coding regions in nucleic acid sequences. In particular, the method is applied to the prediction of splicing sites in messenger RNA precursors. Information used for discrimination includes consensus sequence patterns around splice junctions, free energy of snRNA and mRNA base pairing, and statistical differences between coding and non-coding regions such as periodic appearance of specific bases in coding regions reflecting the non-random usage of degenerate codons. Given the reading frame of an exon (but not the exon/intron boundaries), the method will predict the following exon, namely, the intron to be excised out. When applied to human sequences in the GenBank database, the method correctly identified 80% of true splice junctions.

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Year:  1985        PMID: 4022782      PMCID: PMC321868          DOI: 10.1093/nar/13.14.5327

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


  12 in total

1.  Nucleotide sequences of nuclear U1A RNAs from chicken, rat and man.

Authors:  C Branlant; A Krol; J P Ebel; E Lazar; H Gallinaro; M Jacob; J Sri-Widada; P Jeanteur
Journal:  Nucleic Acids Res       Date:  1980-09-25       Impact factor: 16.971

2.  Novel models for RNA splicing that involve a small nuclear RNA.

Authors:  Y Ohshima; M Itoh; N Okada; T Miyata
Journal:  Proc Natl Acad Sci U S A       Date:  1981-07       Impact factor: 11.205

Review 3.  RNA splicing: three themes with variations.

Authors:  T R Cech
Journal:  Cell       Date:  1983-10       Impact factor: 41.582

4.  Prediction of protein function from sequence properties. Discriminant analysis of a data base.

Authors:  P Klein; M Kanehisa; C DeLisi
Journal:  Biochim Biophys Acta       Date:  1984-06-28

Review 5.  Organization and expression of eucaryotic split genes coding for proteins.

Authors:  R Breathnach; P Chambon
Journal:  Annu Rev Biochem       Date:  1981       Impact factor: 23.643

6.  Use of the 'Perceptron' algorithm to distinguish translational initiation sites in E. coli.

Authors:  G D Stormo; T D Schneider; L Gold; A Ehrenfeucht
Journal:  Nucleic Acids Res       Date:  1982-05-11       Impact factor: 16.971

7.  Method to determine the reading frame of a protein from the purine/pyrimidine genome sequence and its possible evolutionary justification.

Authors:  J C Shepherd
Journal:  Proc Natl Acad Sci U S A       Date:  1981-03       Impact factor: 11.205

8.  Are snRNPs involved in splicing?

Authors:  M R Lerner; J A Boyle; S M Mount; S L Wolin; J A Steitz
Journal:  Nature       Date:  1980-01-10       Impact factor: 49.962

9.  Speculations on RNA splicing.

Authors:  P A Sharp
Journal:  Cell       Date:  1981-03       Impact factor: 41.582

10.  Recognition of protein coding regions in DNA sequences.

Authors:  J W Fickett
Journal:  Nucleic Acids Res       Date:  1982-09-11       Impact factor: 16.971

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  9 in total

1.  Computer prediction of the exon-intron structure of mammalian pre-mRNAs.

Authors:  M S Gelfand
Journal:  Nucleic Acids Res       Date:  1990-10-11       Impact factor: 16.971

2.  Neural network detects errors in the assignment of mRNA splice sites.

Authors:  S Brunak; J Engelbrecht; S Knudsen
Journal:  Nucleic Acids Res       Date:  1990-08-25       Impact factor: 16.971

3.  Analysis of donor splice sites in different eukaryotic organisms.

Authors:  I B Rogozin; L Milanesi
Journal:  J Mol Evol       Date:  1997-07       Impact factor: 2.395

4.  Molecular evolution of eukaryotic genomes: hemiascomycetous yeast spliceosomal introns.

Authors:  Elisabeth Bon; Serge Casaregola; Gaëlle Blandin; Bertrand Llorente; Cécile Neuvéglise; Martin Munsterkotter; Ulrich Guldener; Hans-Werner Mewes; Jacques Van Helden; Bernard Dujon; Claude Gaillardin
Journal:  Nucleic Acids Res       Date:  2003-02-15       Impact factor: 16.971

5.  Fission yeast gene structure and recognition.

Authors:  M Q Zhang; T G Marr
Journal:  Nucleic Acids Res       Date:  1994-05-11       Impact factor: 16.971

6.  Predicting internal exons by oligonucleotide composition and discriminant analysis of spliceable open reading frames.

Authors:  V V Solovyev; A A Salamov; C B Lawrence
Journal:  Nucleic Acids Res       Date:  1994-12-11       Impact factor: 16.971

7.  Statistical analysis of mammalian pre-mRNA splicing sites.

Authors:  M S Gelfand
Journal:  Nucleic Acids Res       Date:  1989-08-11       Impact factor: 16.971

8.  hnRNP A1 and hnRNP F modulate the alternative splicing of exon 11 of the insulin receptor gene.

Authors:  Indrani Talukdar; Supriya Sen; Rodolfo Urbano; James Thompson; John R Yates; Nicholas J G Webster
Journal:  PLoS One       Date:  2011-11-23       Impact factor: 3.240

9.  Method of predicting splice sites based on signal interactions.

Authors:  Alexander Churbanov; Igor B Rogozin; Jitender S Deogun; Hesham Ali
Journal:  Biol Direct       Date:  2006-04-03       Impact factor: 4.540

  9 in total

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