Evidence map›Paper›PMID 34780121›Full record

ArticleIUBMB life2022

Underlying selection for the diversity of spike protein sequences of SARS-CoV-2.

Manisha Ghosh, Surajit Basak, Shanta Dutta

Open access · bronzeAbstract read
In one paragraph

Article in IUBMB life, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Alveolar macrophages: Achilles' heel of SARS-CoV-2 infection.Signal transduction and targeted therapy · 2022
    Review
  4. 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

3 authors at 1 institution in 1 country.

Manisha GhoshDivision of Bioinformatics, ICMR-National Institute of Cholera and Enteric Diseases, Kolkata, India.
Surajit BasakDivision of Bioinformatics, ICMR-National Institute of Cholera and Enteric Diseases, Kolkata, India.ORCID 0000-0002-5199-1022
Shanta DuttaDivision of Bacteriology, ICMR-National Institute of Cholera and Enteric Diseases, Kolkata, India.
National Institute of Cholera and Enteric Diseases · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global spread of SARS-CoV-2 is fast moving and has caused a worldwide public health crisis. In the present article, we analyzed spike protein sequences of SARS-CoV-2 genomes to assess the impact of mutational diversity. We observed from amino acid usage patterns that spike proteins are associated with a diversity of mutational changes and most important underlying cause of variation of amino acid usage is the changes in hydrophobicity of spike proteins. The changing patterns of hydrophobicity of spike proteins over time and its influence on the receptor binding affinity provides crucial information on the SARS-CoV-2 interaction with human receptor. Our results also show that spike proteins have evolved to prefer more hydrophobic residues over time. The present study provides a comprehensive analysis of molecular sequence data to consider that mutational variants might play a crucial role in modulating the virulence and spread of the virus and has immediate implications for therapeutic strategies.

Indexed as

Angiotensin-Converting Enzyme 2Genome, ViralHumansHydrophobic and Hydrophilic InteractionsMolecular Docking SimulationMutationSARS-CoV-2Spike Glycoprotein, CoronavirusACE2 protein, humanAngiotensin-Converting Enzyme 2Spike Glycoprotein, Coronavirusspike protein, SARS-CoV-2amino acid usagecorrespondence analysishydrophobicitymolecular dockingspike protein sequence

Identifiers

PMID34780121
PMCPMC8652778
OpenAlexW3213105552

What OpenQuestion holds

Textmetadata
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.