Literature DB >> 3839695

Application of learning techniques to splicing site recognition.

J Quinqueton, J Moreau.   

Abstract

Most genes of eukaryotic genomes are disrupted by introns. The application of a learning technique which uses both statistic and syntactic analysis lead to the establishment of logical rules enabling the recognition of intron/exon junctions between uncoding and coding sequences. The rules were tested on rat actin gene sequences containing some or all of the introns and 50 exon nucleotides on either side of the intron. The results show good recognition of the excision site. This recognition is more ambiguous when the sequence is short; for the acceptor sequence it presents a good selection. The learning achieved with both the donor and acceptor sequence does not lead to recognition. This result indicates that it is not the relationship between donor and acceptor sites in the same intron which determines sequence selection or the splicing mechanism.

Entities:  

Mesh:

Year:  1985        PMID: 3839695     DOI: 10.1016/s0300-9084(85)80274-1

Source DB:  PubMed          Journal:  Biochimie        ISSN: 0300-9084            Impact factor:   4.079


  4 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.  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

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

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

4.  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

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.