Identification of potential antioxidant peptides from protein hydrolysates of pearl oil apricot almonds: Combination of in vitro and molecular docking studies
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.
Bibliographic record
Abstract
Abstract Pearl oil apricot almonds are rich in proteins, being a valuable raw material for preparing antioxidant peptides. In this study, almond protein hydrolysates (APHs) were obtained by enzymatic hydrolysis and divided into APHs‐1 (<3 kDa), APHs‐2 (3–10 kDa), and APHs‐3 (>10 kDa). APHs‐1‐c, purified from APHs‐1, was proved to show the strongest antioxidant effect through activity tracking experiments. APHs‐1‐c also can protect HepG2 cells against oxidative damage by reducing intracellular reactive oxygen species and MDA levels, elevating glutathione levels as well as increasing superoxide dismutase and catalase activities, and its protective effect is related to the Keap1–Nrf2 signaling pathway. Forty bioactive peptide sequences were identified from APHs‐1‐c, and Thr‐Glu‐Asp‐Asp‐Trp‐Arg‐Trp‐His (TEDDWRWH; P1), Trp‐Tyr‐Asp‐Asn‐Glu‐Trp‐Gly‐Tyr‐Arg (WYDNEWGYR; P2), and Ala‐Glu‐Asp‐His‐Glu‐Trp‐Trp‐Arg (AEDHEWWWR; P3) had the most potential for antioxidant activity by molecular docking studies. P1, P2, and P3 showed desirable 1,1‐diphenyl‐2‐picrylhydrazyl radical scavenging activity (IC 50 = 0.634–3.381 mmol/L), 2,2′‐azino‐bis (3‐ethylbenzothiazoline‐6‐sulfonic acid) diammonium salt radical scavenging activity (IC 50 = 0.221–0.309 mmol/L), and ferric‐reducing antioxidant power. These results suggested that almonds protein hydrolysates and its derived antioxidant peptides could serve as potential ingredients applied in functional foods.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it