Molecular docking analysis and anti-apoptotic activity of Hypericum triquetrifolium Turra (St. John's-wort) in Cyclophosphamide-induced lung injury
Bibliographic record
Abstract
Abstract The present study aims to investigate the lung-protective and antiapoptotic effects ofHypericum triquetrifolium Turra(HTT) against cyclophosphamide (CP)-induced lung injury in rats. Thirty-five Sprague Dawley rats were categorized into 5 groups, each consisting of seven members. Phenolic acid and flavonoid contents of this plant were determined. The lung tissue samples cultivated from the rats were examined both histopathological and immunohistochemically for the apoptosis markers of Caspase-3, Bax, and Bcl-2. Histopathological results indicated that structural defects, bleeding areas, and edema had occurred in the lungs of the CP-Alone Group. Besides, Caspase-3 and Bax positivity of the lung cells had also increased while Bcl-2 positivity had decreased. On the other hand, in the HTT + CP Group, HTT was shown to have reversed the aforementioned changes positively. In addition, ourin-vivoresults were confirmed by thein-silicostudies. The changes that occurred in the binding of CP to the active-site amino acid residues of Caspase-3, Bax, and Bcl-2 upon the addition of Hyperoside besides the changes that occurred in their tendency to form hydrogen bonds were accounted for byin silicostudies. Based onin vivoandin silicoresults, HTT could be a strong protective candidate for CP-induced lung injury and apoptosis.
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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 | 0.001 |
| 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".