Evidence map›Paper›PMID 38156001›Full record

ArticleFrontiers in microbiology2023

Comparative analysis of codon usage patterns of

Baoling Yang, Ziwen Cheng, Like Luo, Kuo Cheng, Shengqi Gan, Yuyi Shi, Che Liu, Dawei Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Baoling Yang *College of Basic Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China.
Ziwen Cheng *College of Basic Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China.
Like LuoCollege of Basic Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China.
Kuo ChengCollege of Basic Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China.
Shengqi GanCollege of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China.
Yuyi ShiCollege of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China.
Che LiuCollege of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China.
Dawei WangCollege of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China.
Jinzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: Codon usage bias (CUB) refers to the unequal usage of synonymous codons during translation, resulting in over- or underrepresentation of certain nucleotide patterns. This imbalance in CUB can impact various cellular processes, including protein expression levels and genetic variation. To investigate this, the CUB of 88 PHIST protein coding sequences (CDSs) from 5 subgroups were analyzed in this study. Results: The results showed that both codon base composition and relative synonymous codon usage (RSCU) analysis identified a higher occurrence of AT-ended codons (AGA and UUA) in PHIST proteins of Conclusion: In conclusion, this study has enhanced our understanding of the characteristics of codon usage and genetic evolution in PHIST proteins, thereby providing data foundation for further research on antimalarial drugs or vaccines.

Indexed as

codon usage biaseffective number of codonsPlasmodium falciparumPlasmodium helical interspersed subtelomeric proteinsrelative synonymous codon usage

Identifiers

PMID38156001
PMCPMC10752978
OpenAlexW4389728322

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.