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Record W2169507583 · doi:10.1261/rna.238606

Conformational organization of the 3′ untranslated region in the tomato bushy stunt virus genome

2006· article· en· W2169507583 on OpenAlexafffund
Na Hong, Marc R. Fabian, K. Andrew White

Bibliographic record

VenueRNA · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of CanadaMcKnight Foundation
KeywordsBiologyRNAUntranslated regionGeneticsGenomeThree prime untranslated regionFive prime untranslated regionComputational biologyNucleic acid structureVirologyGene

Abstract

fetched live from OpenAlex

The 3' untranslated regions (UTRs) of positive-strand RNA viruses often form complex structures that facilitate various viral processes. We have examined the RNA conformation of the 352 nucleotide (nt) long 3' UTR of the Tomato bushy stunt virus (TBSV) genome with the goal of defining both local and global structures that are important for virus viability. Gel mobility analyses of a 3'-terminal 81 nt segment of the 3' UTR revealed that it is able to form a compact RNA domain (or closed conformation) that is stabilized by a previously proposed tertiary interaction. RNA-RNA gel shift assays were used to provide the first physical evidence for the formation of this tertiary interaction and revealed that it represents the dominant or "default" structure in the TBSV genome. Further analysis showed that the tertiary interaction involves five base pairs, each of which contributes differently to overall complex stability. Just upstream from the 3'-terminal domain, a long-distance RNA-RNA interaction involving 3' UTR sequences was found to be required for efficient viral RNA accumulation in vivo and to also contribute to the formation of the 3'-terminal domain in vitro. Collectively, these results provide a comprehensive overview of the conformational and functional organization of the 3' UTR of the TBSV genome.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.973
Threshold uncertainty score0.101

Codex and Gemma teacher scores by category

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 communication0.0000.000
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 head0.019
GPT teacher head0.211
Teacher spread0.191 · 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

Citations24
Published2006
Admission routes2
Has abstractyes

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