In silico molecular docking study and Protective effect of Piper attenuatum on aspirin induced gastric ulcer in rats
Bibliographic record
Abstract
Steroid and painkiller abuse induced peptic ulcer disease, which causes abdominal pain, fullness, heartburn, and nausea. Medicinal plants have treated ulcers for centuries. We used Piper attenuatum ethanolic plant extracts for aspirin to induce ulcers in Wistar rats to test the leaf ethanolic extract's antiulcer properties. The control group is normal saline, the standard group is ranitidine (20 mg/kg), and the extract-treated groups are 100 mg/kg and 200 mg/kg ethanolic plant extracts. Ulcer Score, gastric juice volume, free and total acidity, ulcer index, ulcer protection, and pH were measured. The ulcer score was determined via rat stomach biopsies. Plant ethanolic extracts are gastroprotective. Only pH increased compared to the control group. Piper attenuatum ethanolic extract is the most gastroprotective at 200 mg/kg. Extracts were phytochemically and analytically assessed. Phytochemical screening demonstrates that plant extracts contain alkaloids, amides, glucose, proteins, glycosides, steroids, flavonoids, etc. This research suggests that phytoconstituents may have anti-ulcer potential, although structural elucidation of bioactive chemicals is needed. Molecular docking showed better binding affinity versus the 3D structure of pig gastric H+/K+ ATPase isoforms phytoconstituents Cepharadione A, Cepharadione B, Guineensine, Norcepharadione B, and Piperlonguminine. With these significant results, it may be a drug in the future.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".