Evidence map›Paper›PMID 2216778›Full record

ArticleNucleic acids research1990

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

M S Gelfand

Open access · greenAbstract read
In one paragraph

Article in Nucleic acids research, 1990. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
  2. Gene recognition via spliced sequence alignment.Proceedings of the National Academy of Sciences of the United States of America · 1996
    Article
  3. Article
  4. Article
  5. Locating protein-coding regions in human DNA sequences by a multiple sensor-neural network approach.Proceedings of the National Academy of Sciences of the United States of America · 1991
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

M S GelfandInstitute of Protein Research, USSR Academy of Sciences, Pushchino, Moscow region.
Institute of Protein Research · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Computer SimulationExonsIntronsRNA PrecursorsRNA SplicingActinsAlgorithmsAnimalsChymotrypsinCrystallinsGenesGenes, MHC Class IHumansMetallothioneinMolecular Sequence DataMyelin ProteinsActinsChymotrypsinCrystallinsMetallothioneinMyelin ProteinsRNA Precursors

Identifiers

PMID2216778
PMCPMC332326
OpenAlexW1990339485

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.