MétaCan
Menu
Back to cohort
Record W2803421065 · doi:10.14745/ccdr.v41i08a03

Propagated protein misfolding: New opportunities for therapeutics, new public health risk

2015· article· en· W2803421065 on OpenAlexaffvenue
NR Cashman

Bibliographic record

VenueCanada Communicable Disease Report · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPrion Diseases and Protein Misfolding
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsChronic wasting diseaseScrapieDiseaseAmyotrophic lateral sclerosisBovine spongiform encephalopathyMechanism (biology)Prion proteinTransmissible spongiform encephalopathyProtein foldingNeurodegenerationBiologyVirologyNeuroscienceMedicineBioinformaticsPathologyCell biology

Abstract

fetched live from OpenAlex

There is now good consensus that propagated protein misfolding is the underlying mechanism for the infectious prion diseases (Creutzfeldt-Jakob disease in humans, scrapie in sheep and goats, bovine spongiform encephalopathy in cattle, and chronic wasting disease in deer and elk). Over the past decade it has become increasingly clear that other diseases, including Alzheimer's disease, Parkinson's disease and amyotrophic lateral sclerosis may progress via the same mechanism, involving a disease-specific polypeptide rather than the prion protein. Recent literature in these non-prion neurodegenerative diseases also points to the existence of multiple "strains" that express themselves differently in different contexts, resulting in different disease phenotypes. The probable cause of these neurodegenerative diseases is now referred to collectively as "propagated protein misfolding." Propagated protein misfolding raises many opportunities for new therapeutics and diagnostics. However, it also raises the theoretical risk of iatrogenic transmission, although experimental support for this notion is limited at present.

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)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.999
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.006
Scholarly communication0.0040.008
Open science0.0010.002
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0190.003

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 head0.190
GPT teacher head0.310
Teacher spread0.119 · 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 designNot applicable
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

Citations8
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueCanada Communicable Disease ReportSame topicPrion Diseases and Protein MisfoldingFrench-language works237,207