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Record W2104424123 · doi:10.1080/09637480701592897

Angiotensin-converting enzyme inhibition and free-radical scavenging properties of cationic peptides derived from soybean protein hydrolysates

2008· article· en· W2104424123 on OpenAlexafffund
Vahid Farzamirad, Rotimi E. Aluko

Bibliographic record

VenueInternational Journal of Food Sciences and Nutrition · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Hydrolysis and Bioactive Peptides
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHydrolysateChemistryChromatographyScavengingHydrolysisEnzymePepsinScavengerFraction (chemistry)Enzyme assayAngiotensin-converting enzymeBiochemistryRadicalAntioxidant

Abstract

fetched live from OpenAlex

Soybean protein isolate was hydrolyzed consecutively with pepsin and pancreatin followed by separation of the digest on a SP-Sepharose column to obtain angiotensin-converting enzyme (ACE)-inhibitory fractions. Three of the five fractions obtained inhibited ACE activity, with values of the concentration of hydrolysate fraction that inhibited 50% of ACE activity of 1.09, 0.42, and 0.25 mg/ml for fractions 2, 3, and 4, respectively. Kinetic analysis showed that fractions 2, 3, and 4 are non-competitive, competitive and mixed inhibitors of ACE, respectively. Fluorescence emission of ACE was quenched along with a red shift in wavelength of emission maxima in the presence of the protein hydrolysate fractions. Fraction 3 was the most potent free-radical scavenger, while fraction 4 had almost no scavenging effect. We concluded that fraction 3 had the most potential to be used as a bioactive ingredient because of its strong ACE-inhibitory and free-radical scavenging properties.

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 score0.004
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.019
GPT teacher head0.226
Teacher spread0.207 · 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

Citations48
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Food Sciences and NutritionSame topicProtein Hydrolysis and Bioactive PeptidesFrench-language works237,207