Evidence map›Paper›PMID 1518091›Full record

ArticleJournal of molecular evolution1992

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

M S Gelfand

Abstract read
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In one paragraph

Article in Journal of molecular evolution, 1992. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

M S GelfandInstitute of Protein Research, Russia Academy of Sciences, Pushchino, Moscow Region.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonhomologous fully sequenced human protein-coding genes were studied. Three sets of exon-exon junctions were formed defined by the intron (shadow) position relative to the reading frame. For the analysis of intron shadow signals in exons, information content and discrimination energy approaches were used with the correction allowing one to ignore the influence of a protein-coding message. The corrected formulas allow one to define the consensuses for the three types of intron shadow signals as a AG/guwn, cAG/GUnn, and cAG/gunU, and provide better recognition than the original formulas. The analysis of the codon usage in the signal positions leads to the conclusion that the prevalence of some amino acids in corresponding protein sites is caused by the signal requirements and not vice versa. The distribution of potential intron shadow signals in exons contradicts the hypothesis of intron insertion into suitable preexisting sites. There exists a correlation between the intron types and/or the exon length modulo 3.

Indexed as

Genome, HumanAmino Acid SequenceBase SequenceCodonExonsHumansIntronsMathematical ComputingRNA SplicingCodon

Identifiers

PMID1518091

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.