Computer prediction of the exon-intron structure of mammalian pre-mRNAs.
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.
Gelfand
M S
MS
Institute of Protein Research, USSR Academy of Sciences, Pushchino, Moscow region.
D000199:Actins / Q000235:genetics; D000465:Algorithms; D000818:Animals; D002918:Chymotrypsin / Q000235:genetics; D003198:Computer Simulation; D003459:Crystallins / Q000235:genetics; D005091:Exons; D005796:Genes; D005805:Genes, MHC Class I; D006801:Humans; D007438:Introns; D008668:Metallothionein / Q000235:genetics; D008969:Molecular Sequence Data; D009185:Myelin Proteins / Q000235:genetics; D012322:RNA Precursors; D012326:RNA Splicing; D051381:Rats
D000199:Actins; D003459:Crystallins; D009185:Myelin Proteins; D012322:RNA Precursors; D008668:Metallothionein; D002918:Chymotrypsin