Evidence map›Paper›PMID 35573872›Full record

ArticleBeni-Suef University journal of basic and applied sciences2022

Analysis of codon usage patterns in open reading frame 4 of hepatitis E viruses.

Zoya Shafat, Anwar Ahmed, Mohammad K Parvez, Shama Parveen

Open access · diamondAbstract read
In one paragraph

Article in Beni-Suef University journal of basic and applied sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Structural aspects of hepatitis E virus.Archives of virology · 2022
    Review
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 2 institutions in 2 countries.

Zoya ShafatCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, 110025 India.
Anwar AhmedCentre of Excellence in Biotechnology Research, College of Science, King Saud University, Riyadh, Saudi Arabia.
Mohammad K ParvezDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Shama ParveenCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, 110025 India.
Jamia Millia Islamia · INKing Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatitis E virus (HEV) is a member of the family Results: The nucleotide composition analysis indicated that ORF4 protein genes showed overrepresentation of C nucleotide and while A nucleotide was the least-represented, with random distribution of G and T(U) nucleotides. The relative synonymous codon usage (RSCU) analysis revealed biasness toward C/G-ended codons (over U/A) in all three natural HEV-hosts (human, rat and ferret). It was observed that all the ORF4 genes were richly endowed with GC content. Further, our results showed the occurrence of both coincidence and antagonistic codon usage patterns among HEV-hosts. The findings further emphasized that both mutational and selection forces influenced the codon usage patterns of ORF4 protein genes. Conclusions: To the best of our knowledge, this is first bioinformatics study evaluating codon usage patterns in HEV ORF4 protein genes. The findings from this study are expected to increase our understanding toward significant factors involved in evolutionary changes of ORF4. Supplementary Information: The online version contains supplementary material available at 10.1186/s43088-022-00244-w.

Indexed as

Hepatitis E virus (HEV)Mutational pressureNatural selectionNucleotide compositionOpen reading frame 4 (ORF4)Synonymous codon usage

Identifiers

PMID35573872
PMCPMC9086417
OpenAlexW4281650454

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.