Anti-proliferating and antioxidant properties of <i>Eriobotrya japonica</i> fruit in human breast cancer cells combined with <i>in silico</i> study
Bibliographic record
Abstract
This study aimed to identify compounds in the fruits of the medicinal Eriobotrya japonica L, determine anti-apoptotic properties in human breast cancer cells and predict the mechanism via docking and bioinformatic analyses. HPLC-ESI-HRMS/MS metabolite profiling of E. japonica ethanolic extract allowed the identification of eight compounds. Subsequent network pharmacology and molecular docking simulations targeting key cancer-related proteins showed excellent predictive activity (Pa > 0.71) for seven of the compounds. Two of the compounds hyperoxide (C6) and afzelin (C8) showed strong affinities with inducible nitric oxide synthase (iNOS) and beta-1 adrenergic receptor-β (ADRB1) with ΔG of −11.5 and −12.1, respectively. Radical scavenging data showed compound C8 (EC50 89.1 µg/mL, ABTS+•; 96.1 µg/mL, DPPH) was the most active in relation to other compounds and the extract (EC50 115.5 µg/mL, ABTS+•; 101.5 µg/mL, DPPH). The cytotoxicity (LD50) was 96.1–178.9 µg/mL) for cancerous MCF-7 cells compared to 1,105-2,066 µg/mL for normal MCF-10A cells.
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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) | 0.001 | 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) | 0.000 | 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".