MétaCan
Menu
Back to cohort

Autolysis and biochemical properties of endogenous proteinases in Japanese sandfish (<i>Arctoscopus japonicus</i>)

2009· article· en· W2046248695 on OpenAlexaff
Sappasith Klomklao, Hideki Kishimura, Soottawat Benjakul, Benjamin K. Simpson

Bibliographic record

VenueInternational Journal of Food Science & Technology · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Hydrolysis and Bioactive Peptides
Canadian institutionsMcGill University
Fundersnot available
KeywordsAutolysis (biology)ChemistryPepstatinTrypsinKunitz STI protease inhibitorIncubationPMSFEnzymeBiochemistryEnzyme assayProtease

Abstract

fetched live from OpenAlex

Summary Autolysis of Japanese sandfish ( Arctoscopus japonicus ) was studied. The highest autolysis was observed at 60 °C. Optimal pH for autolysis was found at both acidic and alkaline pH values. Autolytic activity decreased with increasing NaCl concentration. Further assay of the extract from Japanese sandfish exhibited the maximum activity at 55 °C and pH 9.5. The Japanese sandfish proteinases were markedly inhibited by pepstatin A at pH 3.5, while soybean trypsin inhibitor, PMSF and TLCK inhibited activities of proteinases at pH 9.5, suggesting Japanese sandfish proteinases were both aspartic and serine proteinases. The extracts were stable to heat treatment up to 50 °C for 15 min and still remained high relative activity after incubated at 50 °C for up to 8 h. Maximum stability of the extracts was observed between pH 6 and 11 and no changes of activity were found after incubation at pH 9.5 for up to 8 h. Activity of Japanese sandfish extract continuously decreased as NaCl concentration increased (0–30%), while activity increased as CaCl 2 concentration increased. The results suggest that major proteinases in Japanese sandfish were trypsin‐like serine proteinases.

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 score0.005
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.246
Teacher spread0.232 · 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

Citations13
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Food Science & TechnologySame topicProtein Hydrolysis and Bioactive PeptidesFrench-language works237,207