Evidence map›Paper›PMID 36569921›Full record

ArticleFrontiers in immunology2022

A bias of Asparagine to Lysine mutations in SARS-CoV-2 outside the receptor binding domain affects protein flexibility.

Jennifer C Boer, Qisheng Pan, Jessica K Holien, Thanh-Binh Nguyen, David B Ascher, Magdalena Plebanski

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Serial cell culture passagingJournal of virology · 2024
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  3. AI-Driven Enhancements in Drug Screening and Optimization.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  4. Article
  5. Article
  6. 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

6 authors at 3 institutions in 1 country.

Jennifer C BoerSchool of Health and Biomedical Science, Royal Melbourne Institute of Technology, Melbourne, VIC, Australia.
Qisheng PanSchool of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD, Australia.
Jessica K HolienSchool of Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, VIC, Australia.
Thanh-Binh NguyenSchool of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD, Australia.
David B AscherSchool of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD, Australia.
Magdalena PlebanskiSchool of Health and Biomedical Science, Royal Melbourne Institute of Technology, Melbourne, VIC, Australia.
University of Queensland · AUBaker Heart and Diabetes Institute · AURMIT University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: COVID-19 pandemic has been threatening public health and economic development worldwide for over two years. Compared with the original SARS-CoV-2 strain reported in 2019, the Omicron variant (B.1.1.529.1) is more transmissible. This variant has 34 mutations in its Spike protein, 15 of which are present in the Receptor Binding Domain (RBD), facilitating viral internalization via binding to the angiotensin-converting enzyme 2 (ACE2) receptor on endothelial cells as well as promoting increased immune evasion capacity. Methods: Herein we compared SARS-CoV-2 proteins (including ORF3a, ORF7, ORF8, Nucleoprotein (N), membrane protein (M) and Spike (S) proteins) from multiple ancestral strains. We included the currently designated original Variant of Concern (VOC) Omicron, its subsequent emerged variants BA.1, BA2, BA3, BA.4, BA.5, the two currently emerging variants BQ.1 and BBX.1, and compared these with the previously circulating VOCs Alpha, Beta, Gamma, and Delta, to better understand the nature and potential impact of Omicron specific mutations. Results: Only in Omicron and its subvariants, a bias toward an Asparagine to Lysine (N to K) mutation was evident within the Spike protein, including regions outside the RBD domain, while none of the regions outside the Spike protein domain were characterized by this mutational bias. Computational structural analysis revealed that three of these specific mutations located in the central core region, contribute to a preference for the alteration of conformations of the Spike protein. Several mutations in the RBD which have circulated across most Omicron subvariants were also analysed, and these showed more potential for immune escape. Conclusion: This study emphasizes the importance of understanding how specific N to K mutations outside of the RBD region affect SARS-CoV-2 conformational changes and the need for neutralizing antibodies for Omicron to target a subset of conformationally dependent B cell epitopes.

Indexed as

COVID-19LysineAsparagineEndothelial CellsHumansMutationPandemicsSARS-CoV-2Spike Glycoprotein, CoronavirusAsparagineLysineSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2infectiousnessmolecular modellingmutationOmicronSARS-CoV-2

Identifiers

PMID36569921
PMCPMC9788125
OpenAlexW4312059020

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.