Evidence map›Paper›PMID 35064154›Full record

ArticleScientific reports2022

Regional and temporal coordinated mutation patterns in SARS-CoV-2 spike protein revealed by a clustering and network analysis.

Surendra S Negi, Catherine H Schein, Werner Braun

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

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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

3 authors.

Surendra S NegiSealy Center for Structural Biology and Biophysics, Department of Biochemistry and Molecular Biology, The University of Texas, Medical Branch, 301 University Blvd, Galveston, TX, 77555-0304, USA.
Catherine H ScheinSealy Center for Structural Biology and Biophysics, Department of Biochemistry and Molecular Biology, The University of Texas, Medical Branch, 301 University Blvd, Galveston, TX, 77555-0304, USA.
Werner BraunSealy Center for Structural Biology and Biophysics, Department of Biochemistry and Molecular Biology, The University of Texas, Medical Branch, 301 University Blvd, Galveston, TX, 77555-0304, USA. webraun@utmb.edu.

Funding

Mosaic Immunogens as Multivalent Alphavirus VaccinesR01AI137332 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BRAUN, WERNER A · 2018 to 2021
$1.9M
A new deep learning approach to probe the molecular basis of inhalation allergensR21AI193195 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BRAUN, WERNER A, MIDORO-HORIUTI, TERUMI · 2025 to 2025
$440k
NIAID NIH HHS R01 AI137332NIAID NIH HHS R21 AI193195NIH HHS R01 AI137332
6 · The paper itself

Abstract

SARS-CoV-2 has steadily mutated during its spread to > 300 million people throughout the world. The WHO has designated strains with certain mutations, "variants of concern" (VOC), as they may have higher infectivity and/or resist neutralization by antibodies in sera of vaccinated individuals and convalescent patients. Methods to detect regionally emerging VOC are needed to guide treatment and vaccine design. Cluster and network analysis was applied to over 1.2 million sequences of the SARS-CoV-2 spike protein from 36 countries in the GISAID database. While some mutations rapidly spread throughout the world, regionally specific groups of variants were identified. Strains circulating in each country contained different sets of high frequency mutations, many of which were known VOCs. Mutations within clusters increased in frequency simultaneously. Low frequency, but highly correlated mutations detected by the method could signal emerging VOCs, especially if they occur at higher frequency in other regions. An automated version of our method to find high frequency mutations in a set of SARS-COV-2 spike sequences is available online at http://curie.utmb.edu/SAR.html .

Indexed as

MutationCOVID-19HumansSARS-CoV-2Spike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID35064154
PMCPMC8782831

What OpenQuestion holds

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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.