Structural stability and Sin a 1 anti-epitope antibody binding ability of yellow mustard (<i>Sinapis alba</i> L.) napin during industrial-scale myrosinase inactivation process
Bibliographic record
Abstract
This study investigated the structural stability of yellow mustard (YM, Sinapis alba L.) napin and the changes of its Sin a 1 anti-epitope antibody-binding ability during myrosinase enzyme inactivation process. The food industry uses myrosinase-inactive non-pungent YM for uses beyond spice applications. Napin was isolated from seeds received from an industrial processor before (YM + M) and after (YM - M) myrosinase inactivation. Secondary and tertiary structural features and surface hydrophobicity parameters of napin were analyzed. The Sin a 1 content in YM seeds and the stability of Sin a 1-containing napin during simulated in vitro gastrointestinal (GI) digestion were determined by a non-competitive indirect enzyme-linked immunosorbent assay using the Sin a 1 anti-epitope antibody (AE-Ab) as the primary Ab. YM napin retained the dominant alpha-helical components of secondary and tertiary structure folds during this process. YM - M napin showed changes in hydrophobicity parameters of the molecules and binding ability of AE-Ab: 2.19 ± 0.48 g per 100 g of YM - M seeds vs. 1.49 ± 0.16 g per 100 g YM + M seeds. YM - M proteins were more susceptible for in vitro GI digestion and also showed a 30% reduction in AE-Ab binding ability upon digestion of napins. This suggests that the myrosinase inactivation process has induced the surface modification of napin, exposing Sin a 1 epitope, leading to an increase in AE-Ab binding. However, the epitope region of YM - M napin showed improved susceptibility for hydrolysis during GI digestion resulting in fewer available epitope regions, suggesting a possible reduction in napin immune reactivity.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".