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Dynamics of SARS-CoV-2 Spike Proteins in Cell Entry: Control Elements in the Amino-Terminal Domains

Authors: Enya Qing; Tom Kicmal; Binod Kumar; Grant M. Hawkins; Emily Timm; Stanley Perlman; Tom Gallagher;

Dynamics of SARS-CoV-2 Spike Proteins in Cell Entry: Control Elements in the Amino-Terminal Domains

Abstract

Adaptive changes that increase SARS-CoV-2 transmissibility may expand and prolong the coronavirus disease 2019 (COVID-19) pandemic. Transmission requires metastable and dynamic spike proteins that bind viruses to cells and catalyze virus-cell membrane fusion.

Related Organizations
Keywords

coronavirus spike protein, SARS-CoV-2, membrane fusion, coronavirus, COVID-19, virus entry, Virus Internalization, Microbiology, Membrane Fusion, QR1-502, HEK293 Cells, Protein Domains, Cell Line, Tumor, Spike Glycoprotein, Coronavirus, Humans, Receptors, Virus, virus receptors, Angiotensin-Converting Enzyme 2, Research Article, HeLa Cells

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    50
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
50
Top 1%
Top 10%
Top 1%
Green
gold