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Record W2114400742 · doi:10.1073/pnas.152456799

Minimum molecular architectures for transcription and replication of the influenza virus

2002· article· en· W2114400742 on OpenAlexfundno aff
Ayae Honda, Kiyohisa Mizumoto, Akira Ishihama

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2002
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
FundersCore Research for Evolutional Science and TechnologyInstitute of GeneticsDirectorate for Biological Sciences
KeywordsRNA-dependent RNA polymeraseRNATranscription (linguistics)BiologyMolecular biologyPolyadenylationPolymeraseSmall nuclear RNARNA polymerase IVirologyGeneticsDNAGene

Abstract

fetched live from OpenAlex

The RNA-dependent RNA polymerase of influenza virus is composed of three viral P proteins (PB1, PB2, and PA) and involved in both transcription and replication of the RNA genome. The PB1 subunit plays a key role in both the assembly of three P protein subunits and the catalytic function of RNA polymerization. We have established a simultaneous expression system of three P proteins in various combinations using recombinant baculoviruses, and isolated the PA-PB1-PB2 ternary (3P) complex and two kinds of the binary (2P) complex, PA-PB1 and PB1-PB2. The affinity-purified 3P complex showed all of the catalytic properties characteristic of the transcriptase, including capped RNA-binding, capped RNA cleavage, model viral RNA binding, model viral RNA-directed RNA synthesis, and polyadenylation of newly synthesized RNA. The PB1-PB2 binary complex showed essentially the same catalytic properties as does the 3P complex, whereas the PA-PB1 complex catalyzed de novo initiation of RNA synthesis in the absence of primers. Taken together we propose that the catalytic specificity of PB1 subunit is modulated to the transcriptase by binding PB2 or the replicase by interaction with PA.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.108
Threshold uncertainty score0.411

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.130
GPT teacher head0.388
Teacher spread0.258 · 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

Citations86
Published2002
Admission routes1
Has abstractyes

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