Binding of carotenoids to proteins: a review
Bibliographic record
Abstract
Carotenoids are lipophilic natural pigments distributed in plants, certain types of algae, fungi and animals. The extensive conjugated double bond system in carotenoids is responsible for their unique color, antioxidant capacity and provide health benefits. However, the hydrophobic nature of carotenoids impacts their color and bioactivity during the development of food products due to their low solubility in aqueous media. The complexation of these molecules with proteins has proven to be an efficient approach for enhancing carotenoid’s solubility and protection against oxidative degradation and hence improving their functional properties and biological activities. This review compiles the molecular interactions between carotenoids and proteins, their physiological relevance, potential applications and characterization of their binding affinities, stabilities, and activities in terms of in-silico analysis and beyond. Overall, the deep understanding and interpretation of binding at the molecular level provide fundamental aspects for the inclusion of carotenoid bioactive compounds in fortified foods and pharmaceuticals.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".