Evidence map›Paper›PMID 23783574›Full record

ArticleNucleic acids research2013

SECISearch3 and Seblastian: new tools for prediction of SECIS elements and selenoproteins.

Marco Mariotti, Alexei V Lobanov, Roderic Guigo, Vadim N Gladyshev

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 119 citations in OpenAlex.

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  17. Xenopus laevis and human type 3 iodothyronine deiodinase enzyme cross-species sensitivity to inhibition by ToxCast chemicals.Toxicology in vitro : an international journal published in association with BIBRA · 2021
    Article
  18. Article
  19. Review
  20. The algal selenoproteomes.BMC genomics · 2020
    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 2 countries.

Marco MariottiDivision of Genetics, Department of Medicine, Brigham and Womens Hospital and Harvard Medical School, 77 Avenue Louis Pasteur, 02115, Boston, MA, USA and Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003 Barcelona, Spain and Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain.
Alexei V Lobanov
Roderic Guigo
Vadim N Gladyshev
Pompeu Fabra University · ESBrigham and Women's Hospital · USCentre for Genomic Regulation · ES

Funding

IDENTITY OF TERMINATOR AND SELENOCYSTEINE UGA CODONSR01GM061603 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI GLADYSHEV, VADIM N. · 2000 to 2016
$4.0M
NIGMS NIH HHS GM061603NIGMS NIH HHS R01 GM061603
6 · The paper itself

Abstract

Selenoproteins are proteins containing an uncommon amino acid selenocysteine (Sec). Sec is inserted by a specific translational machinery that recognizes a stem-loop structure, the SECIS element, at the 3' UTR of selenoprotein genes and recodes a UGA codon within the coding sequence. As UGA is normally a translational stop signal, selenoproteins are generally misannotated and designated tools have to be developed for this class of proteins. Here, we present two new computational methods for selenoprotein identification and analysis, which we provide publicly through the web servers at http://gladyshevlab.org/SelenoproteinPredictionServer or http://seblastian.crg.es. SECISearch3 replaces its predecessor SECISearch as a tool for prediction of eukaryotic SECIS elements. Seblastian is a new method for selenoprotein gene detection that uses SECISearch3 and then predicts selenoprotein sequences encoded upstream of SECIS elements. Seblastian is able to both identify known selenoproteins and predict new selenoproteins. By applying these tools to diverse eukaryotic genomes, we provide a ranked list of newly predicted selenoproteins together with their annotated cysteine-containing homologues. An analysis of a representative candidate belonging to the AhpC family shows how the use of Sec in this protein evolved in bacterial and eukaryotic lineages.

Indexed as

SoftwareAmino Acid SequenceAnimalsBacteriaComputational BiologyCulture MediaEukaryotaEvolution, MolecularHumansInternetInverted Repeat SequencesMolecular Sequence DataNucleic Acid ConformationReproducibility of ResultsSelenocysteineSelenoproteinsCulture MediaSelenocysteineSelenoproteins

Identifiers

PMID23783574
PMCPMC3753652
OpenAlexW2079556709

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.