Evidence map›Paper›PMID 16199759›Full record

ArticleRNA (New York, N.Y.)2005

Are stop codons recognized by base triplets in the large ribosomal RNA subunit?

Han Liang, Laura F Landweber, Jacques R Fresco

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Han LiangDepartment of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.
Laura F Landweber
Jacques R Fresco
Princeton University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The precise mechanism of stop codon recognition in translation termination is still unclear. A previously published study by Ivanov and colleagues proposed a new model for stop codon recognition in which 3-nucleotide Ter-anticodons within the loops of hairpin helices 69 (domain IV) and 89 (domain V) in large ribosomal subunit (LSU) rRNA recognize stop codons to terminate protein translation in eubacteria and certain organelles. We evaluated this model by extensive bioinformatic analysis of stop codons and their putative corresponding Ter-anticodons across a much wider range of species, and found many cases for which it cannot explain the stop codon usage without requiring the involvement of one or more of the eight possible noncomplementary base pairs. Involvement of such base pairs may not be structurally or thermodynamically damaging to the model. However, if, according to the model, Ter-anticodon interaction with stop codons occurs within the ribosomal A-site, the structural stringency which that site imposes on sense codon.tRNA anticodon interaction should also extend to stop codon.Ter-anticodon interactions. Moreover, with Ter-tRNA in place of an aminoacyl-tRNA, for each of the various Ter-anticodons there is a sense codon that can interact with it preferentially by complementary and wobble base-pairing. Both these considerations considerably weaken the arguments put forth previously.

Indexed as

Codon, TerminatorModels, GeneticPeptide Chain Termination, TranslationalBase PairingBase SequenceComputational BiologyHydrogen BondingRNARNA, BacterialRNA, MitochondrialRNA, Ribosomal, 23SRNA, TransferRNA, Transfer, Amino AcylCodon, TerminatorRNARNA, BacterialRNA, MitochondrialRNA, Ribosomal, 23SRNA, TransferRNA, Transfer, Amino Acyl

Identifiers

PMID16199759
PMCPMC1370831
OpenAlexW2170366274

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.