Evidence map›Paper›PMID 17704131›Full record

ArticleNucleic acids research2007

In silico detection of tRNA sequence features characteristic to aminoacyl-tRNA synthetase class membership.

Eena Jakó, Péter Ittzés, Aron Szenes, Adám Kun, Eörs Szathmáry, Gábor Pál

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Fitness Landscapes of Functional RNAs.Life (Basel, Switzerland) · 2015
    Review
  7. Does the genetic code have a eukaryotic origin?Genomics, proteomics & bioinformatics · 2013
    Article
  8. Mapping hidden potential identity elements by computing the average discriminating power of individual tRNA positions.DNA research : an international journal for rapid publication of reports on genes and genomes · 2012
    Article
  9. 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

6 authors.

Eena JakóTheoretical Biology and Ecology Research Group of the Hungarian Academy of Sciences, Department of Plant Taxonomy and Ecology, Budapest, Hungary.
Péter Ittzés
Aron Szenes
Adám Kun
Eörs Szathmáry
Gábor Pál

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aminoacyl tRNA synthetases (aaRS) are grouped into Class I and II based on primary and tertiary structure and enzyme properties suggesting two independent phylogenetic lineages. Analogously, tRNA molecules can also form two respective classes, based on the class membership of their corresponding aaRS. Although some aaRS-tRNA interactions are not extremely specific and require editing mechanisms to avoid misaminoacylation, most aaRS-tRNA interactions are rather stereospecific. Thus, class-specific aaRS features could be mirrored by class-specific tRNA features. However, previous investigations failed to detect conserved class-specific nucleotides. Here we introduce a discrete mathematical approach that evaluates not only class-specific 'strictly present', but also 'strictly absent' nucleotides. The disjoint subsets of these elements compose a unique partition, named extended consensus partition (ECP). By analyzing the ECP for both Class I and II tDNA sets from 50 (13 archaeal, 30 bacterial and 7 eukaryotic) species, we could demonstrate that class-specific tRNA sequence features do exist, although not in terms of strictly conserved nucleotides as it had previously been anticipated. This finding demonstrates that important information was hidden in tRNA sequences inaccessible for traditional statistical methods. The ECP analysis might contribute to the understanding of tRNA evolution and could enrich the sequence analysis tool repertoire.

Indexed as

AlgorithmsAmino Acyl-tRNA SynthetasesAnimalsComputational BiologyHumansRNA, ArchaealRNA, BacterialRNA, FungalRNA, TransferSaccharomyces cerevisiaeSequence AlignmentSequence Analysis, DNAAmino Acyl-tRNA SynthetasesRNA, ArchaealRNA, BacterialRNA, FungalRNA, Transfer

Identifiers

PMID17704131
PMCPMC2018626

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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.