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Record W2024034258 · doi:10.1002/iub.143

Ellagic acid: Characterization as substrate of polyphenol oxidase

2008· article· en· W2024034258 on OpenAlexaff
José Muñoz-Muñoz, Francisco Garcı́a-Molina, María del Mar García‐Molina, José Tudela, Francisco Garcı́a-Cánovas, José Neptuno Rodríguez‐López

Bibliographic record

VenueIUBMB Life · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicmelanin and skin pigmentation
Canadian institutionsTellabs (Canada)
Fundersnot available
KeywordsEllagic acidPolyphenol oxidaseChemistrySubstrate (aquarium)AntioxidantPolyphenolTyrosinaseRadicalEnzymeOxidase testBiochemistryStereochemistryOrganic chemistryBiology

Abstract

fetched live from OpenAlex

Ellagic acid has been described as an inhibitor of tyrosinase or polyphenol oxidase and, therefore, of melanogenesis. In this work, we demonstrate that ellagic acid is not an inhibitor, but a substrate of mushroom polyphenol oxidase, an enzyme which oxidizes ellagic acid, generating its o-quinone. Because o-quinones are very unstable, we used an oxymetric method to characterize the kinetics of this substrate, based on measurements of the oxygen consumed in the tyrosinase reaction. The catalytic constant is very low at both pH values used in this work (4.5 and 7.0), which means that the Michaelis constant for the oxygen is low. The affinity of the enzyme for the substrate is high (low K(m) (S)), showing the double possibility of binding the substrate. Moreover, a new enzymatic method is applied for determining the antioxidant activity. Ellagic acid shows high antioxidant activity (EC50 = 0.05; number of electrons consumed by molecule of antioxidant = 10), probably because of the greater number of hydroxyl groups in its structure capable of sequestering and neutralizing free radicals.

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 score0.033
Threshold uncertainty score0.318

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 head0.014
GPT teacher head0.237
Teacher spread0.223 · 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

Citations28
Published2008
Admission routes1
Has abstractyes

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