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Record W3162347329 · doi:10.1016/j.celrep.2021.109152

Snapshot of an influenza virus glycoprotein fusion intermediate

2021· article· en· W3162347329 on OpenAlexafffund
Vitor Hugo Balasco Serrão, Jonathan D. Cook, Jeffrey E. Lee

Bibliographic record

VenueCell Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsUniversity of Toronto
FundersNational Institute of General Medical SciencesNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchMinistry of Training, Colleges and Universities
KeywordsLipid bilayer fusionFusionGlycoproteinHemagglutinin (influenza)Viral entryBiologyVirusFusion mechanismBiophysicsViral membraneViral envelopeCell fusionChemistryCell biologyBiochemistryVirologyViral replicationCell

Abstract

fetched live from OpenAlex

Enveloped virus entry requires the fusion of cellular and viral membranes, a process directed by their viral fusion glycoproteins. Our current knowledge of this process has been shaped by structural studies of the pre- and post-fusion conformations of these viral fusogens. These structural snapshots have revealed the start and end states necessary for fusion, but the dynamics of the intermediate conformations have remained unclear. Using the influenza C virus hemagglutinin-esterase-fusion glycoprotein as a model, we report the structural and biophysical characterization of a trapped intermediate. Crystallographic studies revealed a structural reorganization of the C terminus to create a second chain reversal region, resulting in the N and C termini being positioned in opposing directions. Intrinsic tryptophan fluorescence and bimane-induced quenching measurements suggest intermediate formation is mediated by conserved hydrophobic residues. Our study reveals a late-stage extended intermediate structural event. This work adds to our understanding of virus cell fusion.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.053
GPT teacher head0.358
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2021
Admission routes2
Has abstractyes

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