Evidence map›Paper›PMID 36528612›Full record

ArticleVirology journal2022

Mutations in SARS-CoV-2 structural proteins: a global analysis.

Mohammad Abavisani, Karim Rahimian, Bahar Mahdavi, Samaneh Tokhanbigli, Mahsa Mollapour Siasakht, Amin Farhadi, Mansoor Kodori, Mohammadamin Mahmanzar, Zahra Meshkat

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
7.0field-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

48 citing papers in PubMed, 70 citations in OpenAlex.

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  17. How does geographical diversity shape vaccine efficacy?Clinical and experimental vaccine research · 2024
    Review
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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

9 authors at 7 institutions in 2 countries.

Mohammad Abavisani *Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Karim Rahimian *Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
Bahar MahdaviDepartment of Molecular Biotechnology, Cell Science Research Center, Royan Institute for Biotechnology, ACECR, Isfahan, Iran.
Samaneh TokhanbigliDepartment of Molecular and Cellular Sciences, Faculty of Advanced Sciences and Technology, Pharmaceutical Sciences Branch, Islamic Azad University, Tehran, Iran.
Mahsa Mollapour SiasakhtDepartment of Biochemistry, Erasmus University Medical Center, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.
Amin FarhadiDepartment of Biology, Payame Noor University, Tehran, Iran.
Mansoor KodoriNon Communicable Diseases Research Center, Bam University of Medical Sciences, Bam, Iran.
Mohammadamin MahmanzarDepartment of Bioinformatics, Kish International Campus University of Tehran, Kish, Iran. Mahmanzar.ma@ut.ac.ir.
Zahra MeshkatDepartment of Microbiology and Virology, School of Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. zmeshkat@gmail.com.
Mashhad University of Medical Sciences · IRUniversity of Tehran · IRBam University of Medical Sciences · IRErasmus MC · NLIslamic Azad University Pharmaceutical Sciences Branch · IRPayame Noor University · IRRoyan Institute · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmergence of new variants mainly variants of concerns (VOC) is caused by mutations in main structural proteins of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Therefore, we aimed to investigate the mutations among structural proteins of SARS-CoV-2 globally.

methodsWe analyzed samples of amino-acid sequences (AASs) for envelope (E), membrane (M), nucleocapsid (N), and spike (S) proteins from the declaration of the coronavirus 2019 (COVID-19) as pandemic to January 2022. The presence and location of mutations were then investigated by aligning the sequences to the reference sequence and categorizing them based on frequency and continent. Finally, the related human genes with the viral structural genes were discovered, and their interactions were reported.

resultsThe results indicated that the most relative mutations among the E, M, N, and S AASs occurred in the regions of 7 to 14, 66 to 88, 164 to 205, and 508 to 635 AAs, respectively. The most frequent mutations in E, M, N, and S proteins were T9I, I82T, R203M/R203K, and D614G. D614G was the most frequent mutation in all six geographical areas. Following D614G, L18F, A222V, E484K, and N501Y, respectively, were ranked as the most frequent mutations in S protein globally. Besides, A-kinase Anchoring Protein 8 Like (AKAP8L) was shown as the linkage unit between M, E, and E cluster genes.

conclusionScreening the structural protein mutations can help scientists introduce better drug and vaccine development strategies.

Indexed as

COVID-19SARS-CoV-2Amino Acid SequenceHumansMutationNucleocapsidSpike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19Evolutionary analysisGenome-wide mutationsMutationsSARS-CoV-2

Identifiers

PMID36528612
PMCPMC9759450
OpenAlexW4311832142

What OpenQuestion holds

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LicenceCC BY
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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.