Procedure to Determine Enzyme Inhibitors Activity in Cereal Seeds
Bibliographic record
Abstract
This work established a procedure for commercial fungal amylase usage as indicator of enzyme inhibitors presence in cereals, intending to screening antifungal resistance properties in cereals. Firstly, the inhibitive effects of oat, wheat and rice protein extracts were assessed against different amylase sources. It was found that the fungal amylase (Fungamyl®) was the most affected by the inhibition property of the extracts. The best conditions for inhibitor-extract-enzyme interaction were established (pH, temperature, starch concentration). Inhibition kinetic allowed their classification as mixed inhibitors. A high quocient (1.7) was observed between enzyme inhibition and Fusarium graminearum multiplication reduction. Fungamyl® amylase demonstrated its potential to detect the protein inhibitor presence in different cereals and might be employed in screening natural resistance to fungal contamination.
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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 | 0.000 | 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 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".