CoMFA and CoMSIA Studies on 1,3-Bis(benzylidene)-3,4-dihydro-1<i>H</i>-naphthalen-2-one, 2,6-Bis(benzylidene)cyclohexanone, and 3,5-Bis(benzylidene)-4-piperidone Series of Cytotoxic Compounds
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Bibliographic record
Abstract
A number of 1,3-bis(benzylidene)-3,4-dihydro-1H-naphthalen-2-ones, 2,6-bis(benzylidene)cyclohexanones, and 3,5-bis(benzylidene)-4-piperidones possess significant potencies toward L1210, Molt 4/C8, and CEM cell lines. The objective of the current 3D QSAR study is to discover some of the structural parameters which govern cytotoxic potencies. The CoMFA models with steric and electrostatic fields provided satisfactory statistical data [(r2cv = 0.485, r2ncv = 0.834, r2pred = 0.591), (r2cv = 0.532, r2ncv = 0.850, r2pred = 0.729), and (r2cv = 0.561, r2ncv = 0.864, r2pred = 0.666)] in regard to the cytotoxic potencies observed toward L1210, Molt 4/C8, and CEM cell lines, respectively. The CoMSIA model with steric, electrostatic, hydrophobic, and H-bond donor fields exhibited r2cv = 0.513, r2ncv = 0.833, and r2pred = 0.562 for cytotoxic activity toward L1210 cells, while the best CoMSIA models were obtained by a combination of steric, electrostatic, and hydrophobic fields which yielded statistically significant data [(r2cv = 0.531, r2ncv = 0.828, r2pred = 0.652) and (r2cv = 0.560, r2ncv = 0.841, r2pred = 0.729)] to explain the cytotoxicity toward Molt 4/C8 and CEM cells, respectively. The information obtained from the CoMFA and CoMSIA 3D contour maps can be used in the design of more potent cytotoxins.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it