Binding Interactions of β-Conglycinin and Glycinin with Vitamin B<sub>12</sub>
Bibliographic record
Abstract
Vitamin B12 deficiency is a problem for many elderly people around the world that is caused by food-cobalamin malabsorption syndrome due to gastrointestinal problems. In this study, the molecular interactions of VB12 with two major soy protein fractions, β-conglycinin (7S) and glycinin (11S), were studied using fluorescence and far-UV circular dichroism spectroscopic techniques. The results show that the fluorescence of 7S and 11S was quenched by VB12 through binding-related quenching after correcting for the inner-filter effect. Both 7S and 11S had a good affinity to VB12 as indicated by their high binding constant 1.252 (±0.085) × 10(4) M(-1) for 7S and 0.952 (±0.04) × 10(4) M(-1) for 11S at 292 K, respectively. Such binding induced a more organized protein confirmation with increased β-sheet and β-turn structure components and a more folded tertiary structure. It is deduced that VB12 was bound in the interior of protein three-dimensional network mainly via hydrophobic interactions to form 7S-VB12 and 11S-VB12 complexes. The results suggest that soy protein has potential to be used as carrier of VB12.
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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".