Evidence map›Paper›PMID 19073698›Full record

ArticleNucleic acids research2009

Identification of protein-coding sequences using the hybridization of 18S rRNA and mRNA during translation.

Chuanhua Xing, Donald L Bitzer, Winser E Alexander, Mladen A Vouk, Anne-Marie Stomp

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2009. 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 89% 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, 2 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

5 authors at 1 institution in 1 country.

Chuanhua XingDepartment of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695-7911, USA. cx6@duke.edu
Donald L Bitzer
Winser E Alexander
Mladen A Vouk
Anne-Marie Stomp
North Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce a new approach in this article to distinguish protein-coding sequences from non-coding sequences utilizing a period-3, free energy signal that arises from the interactions of the 3'-terminal nucleotides of the 18S rRNA with mRNA. We extracted the special features of the amplitude and the phase of the period-3 signal in protein-coding regions, which is not found in non-coding regions, and used them to distinguish protein-coding sequences from non-coding sequences. We tested on all the experimental genes from Saccharomyces cerevisiae and Schizosaccharomyces pombe. The identification was consistent with the corresponding information from GenBank, and produced better performance compared to existing methods that use a period-3 signal. The primary tests on some fly, mouse and human genes suggests that our method is applicable to higher eukaryotic genes. The tests on pseudogenes indicated that most pseudogenes have no period-3 signal. Some exploration of the 3'-tail of 18S rRNA and pattern analysis of protein-coding sequences supported further our assumption that the 3'-tail of 18S rRNA has a role of synchronization throughout translation elongation process. This, in turn, can be utilized for the identification of protein-coding sequences.

Indexed as

Open Reading FramesBase PairingComputational BiologyPeptide Chain Elongation, TranslationalRNA, MessengerRNA, Ribosomal, 18SSaccharomyces cerevisiae ProteinsSchizosaccharomyces pombe ProteinsSequence Analysis, RNARNA, MessengerRNA, Ribosomal, 18SSaccharomyces cerevisiae ProteinsSchizosaccharomyces pombe Proteins

Identifiers

PMID19073698
PMCPMC2632891
OpenAlexW2071294663

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.