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Record W2122265512 · doi:10.6000/1927-5129.2014.10.01

PB1-F2 Amino Acids Regulate Influenza A Viral Polymerase Activity

2014· article· en· W2122265512 on OpenAlexvenueno aff
Yumi Ueda, Motoko Tanaka, Yukihiro Kyan, Mitsutaka Yoshida, Kenji Sasahara, Kyoko Shinya

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2014
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
FundersJapan Society for the Promotion of SciencePrecursory Research for Embryonic Science and TechnologyUniversity of Wisconsin-Madison
KeywordsPolymeraseBiologyVirologyRNA polymeraseInfluenza A virusRNA-dependent RNA polymeraseVirusGeneMutationMolecular biologyGeneticsRNA

Abstract

fetched live from OpenAlex

In 2001, the 11th influenza A viral protein PB1-F2 was detected and found to be encoded by an alternative open reading frame in the PB1 polymerase gene. PB1-F2 has several unique functions, including roles in promoting apoptosis, increasing inflammation, and regulating viral polymerase activity. This study focused on a single PB1-F2 function: regulation of polymerase activity. We constructed a minigenome system to determine the influence of PB1-F2 amino acid (aa) mutations on polymerase activity. We examined four types of aa mutations: three species-specific aa mutations and one mutation that alters pathogenicity in mice. We discovered that an arginine (R) residue at aa position 29 is highly conserved in avian-derived virus strains. Introducing this mutation into mammalian strain A/WSN/33 (H1N1) led to a marked increase in polymerase activity in mammalian cells.These findings suggest that as PB1-F2 in H5N1 viruses regulates viral polymerase activity, it could be targeted for control of avian influenza infection and drug discovery.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.345
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.063
GPT teacher head0.365
Teacher spread0.302 · 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.

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

Citations2
Published2014
Admission routes1
Has abstractyes

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