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Record W2615040127 · doi:10.1089/jir.2017.0032

Interactions Between NS1 of Influenza A Viruses and Interferon-α/β: Determinants for Vaccine Development

2017· review· en· W2615040127 on OpenAlexaff
Ben X. Wang, Eleanor N. Fish

Bibliographic record

VenueJournal of Interferon & Cytokine Research · 2017
Typereview
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsToronto General HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsBiologyVirologyInterferonViral replicationInfluenza A virusGeneVirusVirulenceRecombinant DNAImmunologyMicrobiologyGenetics

Abstract

fetched live from OpenAlex

Influenza A viruses (IAVs) cause mild to severe infections in humans with considerable socioeconomic and global health consequences. The host interferon (IFN)-α/β response, critical as the first line of defense against foreign pathogens, is induced upon detection of IAV genomic RNA in infected cells by host innate pattern recognition receptors. IFN-α/β production and subsequent activation of cell signaling result in the expression of antiviral IFN-stimulated genes whose products target various stages of the IAV life cycle to inhibit viral replication and the spread of infection and establish an antiviral state. IAVs, however, encode a multifunctional virulence factor, nonstructural protein 1 (NS1), that directly antagonizes the host IFN-α/β response to support viral replication. In this review, we highlight the mechanisms by which NS1 suppresses IFN-α/β production and subsequent cell signaling, and consider, therefore, the potential for recombinant IAVs lacking NS1 to be used as live-attenuated vaccines.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.958
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0030.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.707
GPT teacher head0.629
Teacher spread0.078 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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

Citations13
Published2017
Admission routes1
Has abstractyes

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