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Record W1992751927 · doi:10.1086/505882

Characterization of Human Cytomegalovirus (HCMV) UL97 Mutations Found in a Valganciclovir/Oral Ganciclovir Prophylactic Trial by Use of a Bacterial Artificial Chromosome Containing the HCMV Genome

2006· article· en· W1992751927 on OpenAlexafffund
Mélanie Martin, Christian Gilbert, Emma Covington, Guy Boivin

Bibliographic record

VenueThe Journal of Infectious Diseases · 2006
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsUniversité LavalCentre hospitalier universitaire de Québec
FundersCanadian Institutes of Health Research
KeywordsValganciclovirGanciclovirHuman cytomegalovirusVirologyBiologyRecombinant DNABacterial artificial chromosomeCytomegalovirusMutationGenomeHerpesviridaeVirusGeneGeneticsViral disease

Abstract

fetched live from OpenAlex

A method based on manipulation of the human cytomegalovirus genome in a bacterial artificial chromosome was developed to determine the role played by 6 UL97 mutations of unknown significance. These mutations were found in blood samples from solid-organ transplant recipients in a trial comparing valganciclovir and oral ganciclovir prophylaxis. Recombinant viruses containing UL97 mutations P405L, A427V, M550I, A582V, Y617H, and A674T were generated in a bacterial system. Viral stocks were subsequently reconstituted in human fibroblasts, and ganciclovir susceptibilities were tested using a plaque-reduction assay. All recombinant viruses containing these unknown mutations were found to be susceptible to ganciclovir.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.032
GPT teacher head0.303
Teacher spread0.271 · 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 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

Citations27
Published2006
Admission routes2
Has abstractyes

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