Novel Conjugated Unsaturated Ketones with Submicromolar Potencies Towards some Leukemic and Colon Cancer Cells
Bibliographic record
Abstract
BACKGROUND: Cancer continues to be the major health burden worldwide. There is an urgent need for the development of novel antineoplastic compounds to treat this devastating condition. Various alkylating anticancer drugs have been employed in the clinic for treating cancers. Unsaturated conjugated ketones are a group of alkylators which are of significant interest as potent antineoplastic agents. OBJECTIVE: The goal of this study is to discover unsaturated conjugated ketones which are novel potent cytotoxins displaying growth-inhibitory properties towards neoplasms and also to serve as cytotoxic warheads in drug development. METHODS: A variety of 3,5-bis (benzylidene)-4-piperidones 2a-n were synthesized and evaluated against a number of neoplastic cell lines. The short-term neurotoxicity of 2a-k, n was evaluated in mice by i.p. administration using doses level of 30, 100 and 300 mg/kg. Statistical correlations for determining structure-activity relationships were performed using an SPSS software. RESULTS: A number of compounds display cytotoxic potencies in the region of 10-7 to 10-8 M and some of the structural features contributing to the cytotoxicity were identified. Compounds 2a-d, 2h demonstrated substantially higher cytotoxic potencies compared to melphalan and 5- fluorouracil against a panel of leukemic and colon cancer cell lines. These lead cytotoxins comply with drug-likeness properties. In general, the antineoplastics 2 are well tolerated in mice using a short-term neurotoxicity screening. CONCLUSION: In general, this group of compounds comprises excellent cytotoxic agents, which warrant their further development as cytotoxic warheads.
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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".