Resveratrol, Genistein, and Curcumin Bind Bovine Serum Albumin
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".