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Record W2096448734 · doi:10.71781/31255

Identification et caractérisation d'un domaine de transactivation dans l’hélicase E1 des papillomavirus humains

2010· dissertation· fr· W2096448734 on OpenAlexfundno aff
Geneviève Morin

Bibliographic record

VenueOpen MIND · 2010
Typedissertation
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsTransactivationBiologyMolecular biologyGeneticsGeneGene expression

Abstract

fetched live from OpenAlex

Les papillomavirus sont des virus à ADN qui infectent la peau et les muqueuses. Ils causent des verrues et peuvent aussi mener au développement de cancers, dont le cancer du col de l’utérus. La réplication de leur génome nécessite deux protéines virales : l’hélicase E1 et le facteur de transcription E2, qui recrute E1 à l’origine de réplication virale. Pour faciliter l’étude de la réplication du génome viral, un essai quantitatif et à haut débit basé sur l’expression de la luciférase a été développé. Parallèlement, un domaine de transactivation a été identifié dans la région régulatrice N-terminale de la protéine E1. La caractérisation de ce domaine a montré que son intégrité est importante pour la réplication de l’ADN. Cette étude suggère que le domaine de transactivation de E1 est une région protéique intrinsèquement désordonnée qui permet la régulation de la réplication du génome viral par son interaction avec diverses protéines.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.031
GPT teacher head0.358
Teacher spread0.327 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2010
Admission routes1
Has abstractyes

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