Ionic Strength and pH-Induced Changes in the Immunoreactivity of Purified Soybean Glycinin and Its Relation to Protein Molecular Structure
Bibliographic record
Abstract
This study examined the immunogenic response of glycinin under varying conditions of pH and ionic strength using enzyme-linked immunosorbent assay. Differential scanning calorimetric (DSC) analysis and Fourier transform infrared spectroscopy (FTIR) were used to investigate the conformational changes induced as a result of these conditions, and the correlation with the changes observed in glycinin immunoreactivity were determined. A highly purified glycinin obtained by isoelectric precipitation followed by native preparative continuous flow electrophoresis was used for these studies. Purity was confirmed by two-dimensional-polyacrylamide gel electrophoresis and mass spectroscopy. DSC and FTIR results suggest that glycinin immunoreactivity is affected by changes in the tertiary and secondary packing of the protein, when flexibility, stability, and accessibility of certain substructures are modified. Aggregation and/or increased compactness of glycinin subcomponents could have potentially prevented epitopes from reacting with the IgG antibodies.
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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".