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Record W2914668309 · doi:10.5772/intechopen.80702

Prion Protein Strain Diversity and Disease Pathology

2019· book-chapter· en· W2914668309 on OpenAlexfundno aff
Saima Zafar, Neelam Younas, Mohsin Shafiq, Inga Zerr

Bibliographic record

VenueIntechOpen eBooks · 2019
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPrion Diseases and Protein Misfolding
Canadian institutionsnot available
FundersDeutsches Zentrum für Neurodegenerative ErkrankungenHelmholtz-Alberta InitiativeEU Joint Programme – Neurodegenerative Disease Research
KeywordsScrapiePrion proteinPathogenesisBiologyGlycosylationPhenotypeDiseaseStrain (injury)VirologyAlleleGeneticsGenePathologyMedicineImmunology

Abstract

fetched live from OpenAlex

The infectious agents, prions, are composed mainly of conformational isomers of the cellular prion protein (PrPc) in its abnormal accumulated scrapie forms (PrPSc). The distinct prion isolates or strains have been associated with different PrPSc prion protein conformations and patterns of glycosylation and are associated with disease progression and severity. In humans, sporadic Creutzfeldt-Jakob disease (sCJD) is the most common form and has been divided into six subtypes, based on PrPSc electrophoretic mobility and allelic variation at codon 129, among which sCJD MM1 and sCJD VV2 are the two most commonly occurring subtypes with known clinical manifestations. The strain-specific response of PrPSc suggests both the molecular classification and the pathogenesis of prion diseases along with posttranslational modification of PrP in humans and animals.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.004

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 head0.015
GPT teacher head0.227
Teacher spread0.212 · 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
GenreReview

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

Citations4
Published2019
Admission routes1
Has abstractyes

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