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Record W2157301325 · doi:10.1128/jvi.01815-07

Bovine Viral Diarrhea Virus Core Is an Intrinsically Disordered Protein That Binds RNA

2007· article· en· W2157301325 on OpenAlexfundno aff
Catherine Murray, Joseph Marcotrigiano, Charles M. Rice

Bibliographic record

VenueJournal of Virology · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Disease Management and Epidemiology
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesNatural Sciences and Engineering Research Council of CanadaNational Institutes of HealthGreenberg Medical Research Institute
KeywordsBiologyCapsidRNAVirologyVirusPestivirusViral envelopeRNA virusViral proteinIn vitroHepatitis C virusBiochemistryFlaviviridaeGene

Abstract

fetched live from OpenAlex

Pestiviruses, including bovine viral diarrhea virus (BVDV), are important animal pathogens and close relatives of hepatitis C virus. Pestivirus particles are composed of an RNA genome, a host-derived lipid envelope, and four virion-encoded structural proteins, core (C), E(rns), E1, and E2. Core is a small, highly basic polypeptide that is processed by three enzymatic cleavages before its incorporation into virions. Little is known about its biological properties or its role in virion assembly and structure. We have purified BVDV core protein and characterized it biochemically. We have determined that the processed form of core lacks significant secondary structure and is instead intrinsically disordered. Consistent with its highly basic sequence, we observed that core binds to RNA, although with low affinity and little discernible specificity. We found that BVDV core protein was able to functionally replace the nonspecific RNA binding and condensing region of an unrelated viral capsid protein. Together these results suggest that the in vitro properties of core may reflect its mechanism of action in RNA packaging and virion morphogenesis.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.873
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.275
Teacher spread0.228 · 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 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

Citations47
Published2007
Admission routes1
Has abstractyes

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