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Record W1988090932 · doi:10.1021/jp9115996

Resveratrol, Genistein, and Curcumin Bind Bovine Serum Albumin

2010· article· en· W1988090932 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Interaction Studies and Fluorescence Analysis
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBovine serum albuminChemistryBinding constantCurcuminPolyphenolResveratrolGenisteinSerum albuminChromatographyBinding siteNuclear chemistryBiochemistryAntioxidant

Abstract

fetched live from OpenAlex

We report the complexation of bovine serum albumin (BSA) with resveratrol, genistein, and curcumin, at physiological conditions, using constant protein concentration and various polyphenol contents. FTIR, CD, and fluorescence spectroscopic methods were used to analyze the ligand binding mode, the binding constant, and the effects of complexation on BSA stability and conformation. Structural analysis showed that polyphenols bind BSA via hydrophilic and hydrophobic interactions with the number of bound polyphenol (n) being 1.30 for resveratrol-BSA, 1.30 for genistein-BSA, and 1.0 for curcumin-BSA. The polyphenol-BSA binding constants were K(Res-BSA) = 2.52(+/-0.5) x 10(4) M(-1), K(Gen-BSA) = 1.26(+/-0.3) x 10(4) M(-1), and K(Cur-BSA) = 3.33(+/-0.8) x 10(4) M(-1). Polyphenol binding altered BSA conformation with a major reduction of alpha-helix and an increase in beta-sheet and turn structures, indicating a partial protein unfolding.

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 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 score0.017
Threshold uncertainty score0.293

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 head0.004
GPT teacher head0.243
Teacher spread0.239 · 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