Correlations between Cytotoxicity and Topography of Some 2-Arylidenebenzocycloalkanones Determined by X-ray Crystallography
Bibliographic record
Abstract
Three series of 2-arylidenebenzocycloalkanones 1-3 were prepared in order to compare the topography of the molecules with cytotoxicity. These compounds contain two aryl rings whose spatial relationships to each other were influenced by the size of the alicyclic ring and the nature of the substituents in the arylidene aryl rings. All compounds were evaluated against murine P388 and L1210 cells as well as human Molt 4/C8 and CEM T-lymphocytes. From these results, 1l and 2c,l emerged as useful lead molecules and 1l was shown to significantly inhibit macromolecular DNA, RNA, and protein syntheses in L1210 cells. Various interatomic distances, bond angles, and a torsion angle of 19 representative compounds were determined by X-ray crystallography, and correlations between these data and the cytotoxicity were noted in nearly 40% of the cases examined. Structure-activity relationships revealed that in general, the steric properties of the groups in the arylidene aryl ring, as revealed by measurements of the molar refractivity values, contributed more to bioactivity than the electronic and hydrophobic properties of the aryl substituents. The compounds displayed little murine toxicity, which favors the decision to develop these molecules as cytotoxic and anticancer agents.
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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".