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Record W2093206431 · doi:10.1515/bc.2006.110

The proprotein convertases and their implication in sterol and/or lipid metabolism

2006· review· en· W2093206431 on OpenAlexaff
Nabil G. Seidah, Abdel‐Majid Khatib, Annik Prat

Bibliographic record

VenueBiological Chemistry · 2006
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEndoplasmic Reticulum Stress and Disease
Canadian institutionsMontreal Clinical Research Institute
Fundersnot available
KeywordsProprotein ConvertasesSterol regulatory element-binding proteinFurinPCSK9KexinLDL receptorBiochemistrySerineChemistryLipid metabolismSubtilisinSterolDownregulation and upregulationBiologyCell biologyCholesterolLipoproteinEnzymeGene

Abstract

fetched live from OpenAlex

The proprotein convertases represent a family of nine proteinases, comprising seven basic amino acid-specific subtilisin-like serine proteinases related to yeast kexin, known as PC1/3, PC2, furin, PC4, PC5/6, PACE4 and PC7, and two other subtilases that cleave at non-basic residues, called SKI-1/S1P and NARC-1/PCSK9. The present review concentrates on the regulatory role played by some of these convertases in cholesterol and lipid metabolism. Thus, PC5/6, PACE4 and Furin upregulate high-density lipoprotein (HDL) levels via the inactivation of endothelial and lipoprotein lipases. The SKI-1/S1P-directed cleavage of membrane-bound transcription factors known as sterol regulatory element binding proteins (SREBP-1 and SREBP-2) results in upregulation of the synthesis of sterols, lipids and the LDL receptor (LDLR). Finally, PCSK9 downregulates the protein levels of the LDLR by enhancement of its intracellular metabolic pathway in subcellular acidic compartments.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.025
GPT teacher head0.285
Teacher spread0.260 · 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

Citations93
Published2006
Admission routes1
Has abstractyes

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