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Record W2432175231 · doi:10.1159/000468901

Mammalian Neural and Endocrine Pro-Protein andPro-Hormone Convertases Belonging to the Subtilisin Familyof Serine Proteinases

2017· review· en· W2432175231 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnzyme · 2017
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsMontreal Clinical Research Institute
Fundersnot available
KeywordsFurinProprotein ConvertasesProhormone convertaseKexinBiochemistryBiologySubtilisinEnzymeProtein precursorSerineSerine proteaseCell biologyHormoneProhormoneProtease

Abstract

fetched live from OpenAlex

Conversion of pro-hormones and precursor proteins into biologically active peptides and proteins involves the concerted action of a number of convertases and post-translation modification enzymes. The identification of the yeast convertase kexin as a prototype processing enzyme led to the discovery of the mammalian convertase designated furin, PC1 and PC2. Whereas furin is ubiquitously expressed, PC1 and PC2 are found only in endocrine and neural tissues and cell lines. In man and mouse, the genes coding for furin, PC1 and PC2 reside on three different chromosomes. The analysis of the intracellular processing of PC1 and PC2 and the removal of their pro-segment is presented, together with a summary of the cleavage specificity of these enzymes for precursors such as pro-opiomelanocortin (POMC) and human pro-renin. The distinct tissue distribution of PC1 and PC2 and their coregulation with POMC in the pituitary neurointermediate lobe adds credence to their physiological role as convertases involved in the tissue-specific processing of precursor proteins.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.042
GPT teacher head0.303
Teacher spread0.261 · 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