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Record W2136620995 · doi:10.1186/1743-422x-6-193

Bioinformatic evidence for a stem-loop structure 5'-adjacent to the IGR-IRES and for an overlapping gene in the bee paralysis dicistroviruses

2009· article· en· W2136620995 on OpenAlexaff
Andrew E. Firth, Qing S. Wang, Eric Jan, John F. Atkins

Bibliographic record

VenueVirology Journal · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsUniversity of British Columbia
FundersNational Institute of General Medical SciencesNational Institutes of HealthScience Foundation Ireland
KeywordsInternal ribosome entry siteBiologyORFSOpen reading frameVirologyIntergenic regionGeneticsStem-loopGeneEukaryotic translationGenomeTranslation (biology)Coding regionRNARibosomePeptide sequenceMessenger RNA

Abstract

fetched live from OpenAlex

The family Dicistroviridae (order Picornavirales) includes species that infect insects and other arthropods. These viruses have a linear positive-sense ssRNA genome of approximately 8-10 kb, which contains two long ORFs. The 5' ORF encodes the nonstructural polyprotein while the 3' ORF encodes the structural polyprotein. The dicistroviruses are noteworthy for the intergenic Internal Ribosome Entry Site (IGR-IRES) that mediates efficient translation initation on the 3' ORF without the requirement for initiator Met-tRNA. Acute bee paralysis virus, Israel acute paralysis virus of bees and Kashmir bee virus form a distinct subgroup within the Dicistroviridae family. In this brief report, we describe the bioinformatic discovery of a new, apparently coding, ORF in these viruses. The ORF overlaps the 5' end of the structural polyprotein coding sequence in the +1 reading frame. We also identify a potential 14-18 bp RNA stem-loop structure 5'-adjacent to the IGR-IRES. We discuss potential translation initiation mechanisms for the novel ORF in the context of the IGR-IRES and 5'-adjacent stem-loop.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.948
Threshold uncertainty score0.550

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.344
Teacher spread0.214 · 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 designObservational
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

Citations35
Published2009
Admission routes1
Has abstractyes

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