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Record W1523369300 · doi:10.1080/19336896.2015.1071761

<i>In vitro</i>neutralization of prions with PrP<sup>Sc</sup>-specific antibodies

2015· article· en· W1523369300 on OpenAlexaff
Ryan Taschuk, Jacques van der Merwe, Kristen Marciniuk, Andrew Potter, Neil R. Cashman, Philip Griebel, Scott Napper

Bibliographic record

VenuePrion · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPrion Diseases and Protein Misfolding
Canadian institutionsVancouver Coastal Health Research InstituteUniversity of British ColumbiaUniversity of AlbertaUniversity of SaskatchewanSaskatchewan Health Authority
Fundersnot available
KeywordsNeutralizationAntibodyEpitopeIn vitroVirologyChemistryMolecular biologyNeutralizing antibodyBiologyImmunologyBiochemistry

Abstract

fetched live from OpenAlex

Prion diseases reflect the misfolding of a self-protein (PrP(C)) into an infectious, pathological isomer (PrP(Sc)). By targeting epitopes uniquely exposed by misfolding, our group developed PrP(Sc)-specific vaccines to 3 disease specific epitopes (DSEs). Here, antibodies induced by individual DSE vaccines are evaluated for their capacity to neutralize prions in vitro. For both purified antibodies and immunoreactive sera, the PrP(Sc)-specific antibodies were equally effective in neutralizing prions. Further, there was no significant increase in neutralizing activity when multiple DSEs were targeted within an assay. At a low antibody concentration, the PrP(Sc)-specific antibodies matched the neutralization achieved by an antibody that may act via both PrP(C) and PrP(Sc). At higher doses, however, this pan-specific antibody was more effective, potentially due to a combined deactivation of PrP(Sc) and depletion of PrP(C).

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.383

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 head0.016
GPT teacher head0.252
Teacher spread0.236 · 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

Citations9
Published2015
Admission routes1
Has abstractyes

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