Effect of genetic variants on hydrolysis of -casein by chymosin and pepsin
Bibliographic record
Abstract
Several studies have demonstrated that certain genetic variants of beta-casein are closely related to milk production, milk composition and technological properties of milk such as coagulation properties during cheese making, calcium precipitation and water binding properties. The objective of current study is to investigate the effect of the genetic variants on hydrolysis of beta-casein by chymosin and pepsin. On the basis of a preliminary analysis, a total of 50 milk samples which provided representatives of different available genetic variants of beta-casein were collected from different herds in Quebec. Casein was prepared from milk samples by the acid precipitation and the genetic variants of beta-casein were identified by both alkaline and acid urea-PAGE. An anion exchange chromatography was employed for the separation of beta-casein from whole casein. An initial hydrolysis of beta-casein of different phenotypes by chymosin and pepsin were achieved under the optimized hydrolytic conditions. Hydrolysates were periodically removed from the reaction mixture and they were analyzed by both RP-HPLC and SDS-PAGE in order to study the hydrolytic pattern of each beta-casein variant with the increasing hydrolytic time. (Abstract shortened by UMI.)
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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) | 0.001 | 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) | 0.002 | 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".