Antioxidant capacities of fractionated barley hordein hydrolysates in relation to peptide structures
Bibliographic record
Abstract
SCOPE: This study has revealed strong antioxidant activities of barley hordein hydrolysate fractions and investigated the relationships between antioxidant properties and structural features of hordein peptides. METHODS AND RESULTS: Barley hordein fractions separated based on molecular weight and surface hydrophobicity demonstrated strong antioxidant bioactivities, especially ferrous ion chelating capacity. Structural studies revealed the poly-l-proline helix, β-turn, and β-sheet as the dominant structural elements in the large molecular weight fraction, while most of the small-sized peptides assumed unordered random coil conformation accompanied by a large amount of ionized carboxyl groups produced as a result of partial deamidation of glutamine residues during hydrolysis. A study of antioxidant capacity in relation to peptide structure indicated the contribution of hydrophobic residues in radical scavenging and the positive effect of ionized carboxyl groups together with Lys and Met in metal chelation activity. QPYPQ was identified as the most repeated sequence in potent RP-HPLC fractions, which might be a particular structural motif that plays a key role in scavenging free radicals. CONCLUSION: Barley hordein with its unique sequence partitioning has potential to produce peptides with strong antioxidant bioactivities.
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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) | 0.000 | 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 | 0.000 | 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".