Insights from degradation studies of alpha mangostin from <i>Garcinia mangostana</i> : key findings
Bibliographic record
Abstract
The present study emphasises the necessity of substantiating the stability of plant-derived bioactive compounds for their therapeutic effectiveness in pharmaceutical production. The limelight is on alpha-mangostin (AM), a xanthone from Garcinia mangostana L., renowned for its diverse biological properties. Acid exposure during a forced degradation study on AM resulted in degraded alpha-mangostin (DAM) formation, with structural modifications of the two prenyl groups at C2 and C8 positions as determined by NMR and HRMS analysis. Other conditions (temperature, humidity, photolytic, oxidative, and alkaline) showed a minimal impact on AM. DAM, although showed antibacterial activity at concentration higher than AM (MIC values for AM: 0.39–1.56 µg/mL; DAM: >25 µg/mL), it exhibited potential for binding with Glucosyltransferase-SI from Streptococcus mutans and human Acetylcholinesterase in molecular docking simulations, comparable to AM. This suggests, the importance of prenyl group at C2 and C8 positions for AM’s potent antibacterial activity and the decreased activity of DAM is due to lack of the prenyl groups.
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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".