Evidence map›Paper›PMID 24410898›Full record

ArticleTheoretical biology & medical modelling2014

Dependency of codon usage on protein sequence patterns: a statistical study.

Mohammad-Hadi Foroughmand-Araabi, Bahram Goliaei, Kasra Alishahi, Mehdi Sadeghi

Open access · hybridAbstract read
In one paragraph

Article in Theoretical biology & medical modelling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. GC3-biased gene domains in mammalian genomes.Bioinformatics (Oxford, England) · 2015
    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

4 authors at 3 institutions in 1 country.

Mohammad-Hadi Foroughmand-Araabi
Bahram GoliaeiInstitute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran. goliaei@ibb.ut.ac.ir.
Kasra Alishahi
Mehdi Sadeghi
University of Tehran · IRNational Institute of Genetic Engineering and Biotechnology · IRSharif University of Technology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCodon degeneracy and codon usage by organisms is an interesting and challenging problem. Researchers demonstrated the relation between codon usage and various functions or properties of genes and proteins, such as gene regulation, translation rate, translation efficiency, mRNA stability, splicing, and protein domains. Researchers usually represent segments of proteins responsible for specific functions or structures in a family of proteins as sequence patterns or motifs. We asked the question if organisms use the same codons in pattern segments as compared to the rest of the sequence.

methodsWe used the likelihood ratio test, Pearson's chi-squared test, and mutual information to compare these two codon usages.

resultsWe showed that codon usage, in segments of genes that code for a given pattern or motif in a group of proteins, varied from the rest of the gene. The codon usage in these segments was not random. Amino acids with larger number of codons used more specific codon ratios in these segments. We studied the number of amino acids in the pattern (pattern length). As patterns got longer, there was a slight decrease in the fraction of patterns with significant different codon usage in the pattern region as compared to codon usage in the gene region. We defined a measure of specificity of protein patterns, and studied its relation to the codon usage. The difference in the codon usage between pattern region and gene region, was less for the patterns with higher specificity.

conclusionsWe provided a hypothesis that there are segments on genes that affect the codon usage and thus influence protein translation speed, and these regions are the regions that code protein pattern regions.

Indexed as

CodonModels, StatisticalAmino Acid SequenceBase SequenceLikelihood FunctionsProteinsCodonProteins

Identifiers

PMID24410898
PMCPMC3896713
OpenAlexW2135917339

What OpenQuestion holds

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LicenceCC BY
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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.