.ALPHA.-Substituted 1-Aryl-3-dimethylaminopropanone Hydrochlorides: Potent Cytotoxins towards Human WiDr Colon Cancer Cells
Bibliographic record
Abstract
A series of 1-aryl-2-dimethylaminomethyl-2-propenone hydrochlorides 1 were prepared which possessed IC(50) values of less than 10 microM when examined towards human WiDr colon cancer cells. The related 1-aryl-2-dimethylaminomethyl-3-hydroxypropanone hydrochlorides 2, formed by hydration of the analogs in series 1, also had IC(50) values in the low micromolar range. On the other hand, conversion of 2-dimethylaminomethyl-1-(4-nitrophenyl)-2-propenone hydrochloride 1c into the corresponding 2-mercaptoethanol of adduct 3c led to a 37-fold reduction in potency. Two thirds of the compounds prepared in this study were more potent than a reference drug cisplatin while one third of these molecules displayed greater cytotoxicity to the WiDr cells than human CRL-2522 fibroblasts. A stability study of the 4-nitrophenyl analog in each of the series 1-3 in deuterium oxide was undertaken. In the case of 1c, replacement of the dimethylamino hydrochloride group by a hydroxy function was noted while in series 2, the loss of both water and dimethylamine hydrochloride gave rise to a mixture of two enones. The mercaptoethanol adduct 3c underwent deamination. The data obtained provide guidelines for amplifying the project in the future.
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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".