Literature DB >> 2216778

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

M S Gelfand1.   

Abstract

A novel approach to the problem of prediction of protein-coding regions is suggested. This approach combines the site prediction methods to predict splicing sites and the global coding region prediction methods to choose the best variant of spliced mRNA. One of the advantages of the suggested algorithm is that the resulting mRNA or protein sequence may then be immediately analyzed further. The true mRNA either coincides with the predicted one or ranks high in the list of variants. In the latter situation the predicted mRNA usually differs from the true one in only one or two of several exons. The combined approach allows the use of a priori information (e.g. the putative protein length or the number of exons). It is possible to use additional parameters not considered here, such as the preferred lengths of exons and introns, and particularly the preferred position of introns in the reading frame and the preferred codon position of exon termini.

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Year:  1990        PMID: 2216778      PMCID: PMC332326          DOI: 10.1093/nar/18.19.5865

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


  33 in total

1.  Categorical discriminant analysis of 3'-splice site signals of mRNA precursors in higher eukaryote genes.

Authors:  Y Iida
Journal:  J Theor Biol       Date:  1988-11-08       Impact factor: 2.691

2.  The nucleotide sequence of a rat myosin light chain 2 gene.

Authors:  U Nudel; J M Calvo; M Shani; Z Levy
Journal:  Nucleic Acids Res       Date:  1984-09-25       Impact factor: 16.971

3.  Measurements of the effects that coding for a protein has on a DNA sequence and their use for finding genes.

Authors:  R Staden
Journal:  Nucleic Acids Res       Date:  1984-01-11       Impact factor: 16.971

4.  Exon/intron organization and complete nucleotide sequence of an HLA gene.

Authors:  M Malissen; B Malissen; B R Jordan
Journal:  Proc Natl Acad Sci U S A       Date:  1982-02       Impact factor: 11.205

5.  Strict co-linearity of genetic and protein folding domains in an intragenically duplicated rat lens gamma-crystallin gene.

Authors:  R J Moormann; J T den Dunnen; L Mulleners; P Andreoli; H Bloemendal; J G Schoenmakers
Journal:  J Mol Biol       Date:  1983-12-25       Impact factor: 5.469

6.  The codon preference plot: graphic analysis of protein coding sequences and prediction of gene expression.

Authors:  M Gribskov; J Devereux; R R Burgess
Journal:  Nucleic Acids Res       Date:  1984-01-11       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.  Recognition of protein coding regions in DNA sequences.

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

9.  Nucleotide sequence of the rat skeletal muscle actin gene.

Authors:  R Zakut; M Shani; D Givol; S Neuman; D Yaffe; U Nudel
Journal:  Nature       Date:  1982-08-26       Impact factor: 49.962

10.  Human metallothionein genes--primary structure of the metallothionein-II gene and a related processed gene.

Authors:  M Karin; R I Richards
Journal:  Nature       Date:  1982-10-28       Impact factor: 49.962

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  5 in total

Review 1.  Current methods of gene prediction, their strengths and weaknesses.

Authors:  Catherine Mathé; Marie-France Sagot; Thomas Schiex; Pierre Rouzé
Journal:  Nucleic Acids Res       Date:  2002-10-01       Impact factor: 16.971

2.  The prediction of exons through an analysis of spliceable open reading frames.

Authors:  G B Hutchinson; M R Hayden
Journal:  Nucleic Acids Res       Date:  1992-07-11       Impact factor: 16.971

3.  Statistical analysis and prediction of the exonic structure of human genes.

Authors:  M S Gelfand
Journal:  J Mol Evol       Date:  1992-09       Impact factor: 2.395

4.  Locating protein-coding regions in human DNA sequences by a multiple sensor-neural network approach.

Authors:  E C Uberbacher; R J Mural
Journal:  Proc Natl Acad Sci U S A       Date:  1991-12-15       Impact factor: 11.205

5.  Gene recognition via spliced sequence alignment.

Authors:  M S Gelfand; A A Mironov; P A Pevzner
Journal:  Proc Natl Acad Sci U S A       Date:  1996-08-20       Impact factor: 11.205

  5 in total

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