Design, Synthesis and In vitroCytotoxic Evaluation of Novel Hybrids ofArtemisinin and Quinazolinone
Bibliographic record
Abstract
Background: In this study, two novel hybrid series of artemisinin and quinazolinones were synthesized and evaluated in vitro cytotoxicity against two human cancer cell lines, including SKLu-1 (lung cancer), MCF- 7 (breast cancer). The bio-assay results indicated that most of the target compounds exhibited cytotoxic activities against both human cancer cell lines tested and seemed to be more cytotoxic toward the breast (MCF-7) cancer cells than lung (SKLu-1) cancer cells. Among the synthesized artemisinin hybrids, the compound 13d containing a quinazolinone conjugated system exhibited the most potent cytotoxicity against the SKLu-1 and MCF-7 cell lines with IC50 values of 1.62 and 0.77 μM, respectively. Objective: This study aims at developing novel hybrids of artemisinin and quinazolinones as anticancer agents. Method: A series of novel hybrids were designed, synthesized, and evaluated for cytotoxicity against two human cancer cell lines, including SKLu-1 and MCF-7, using the SRB method. Results: All thirteen hybrids of artemisinin with quinazolinone exhibited cytotoxic activity against two tested cancer cell lines, in which the compound 13d exhibited the most potent cytotoxicity against the SKLu-1 and MCF-7 cell lines with IC50 values of 1.62 and 0.77 μM, respectively. Conclusion: The research results suggest that some compounds could be considered as leads for future design of hybrids and have the potential for further studies in the field of anti-cancer agent development.
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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 | 0.000 |
| 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) | 0.002 | 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".