A quantitative structure-activity relationship study for α-substituted acetamido-<i>N</i>-benzylacetamide derivatives A novel anticonvulsant drug class
Bibliographic record
Abstract
A library of 35 benzylacetamide derivatives was evaluated for anticonvulsant activity as reflected in the ED50 (mg/kg) required to suppress seizure activity in the maximal electroshock seizure (MES) test. Using the method of partial least-squares regression in conjunction with cross-validation, the influence of 31 topological, electronic, physico chemical, and structural properties on anticonvulsant activity was investigated. A QSAR model of the logED50 in the MES test was established (R2adj = 0.77) as a function of the following seven properties: the Wiener index on distance code (Wmean), the mean information index on atomic composition (rIac), the partial charge at the C-terminal carbonyl carbon (qCC), the sum of partial charges in the α substituent (qαtotal), the number of hydrogen bond donors and acceptors in the α substituent (Hdα and Haα), and the calculated value of the squared n-octanol/water partition coefficient. Based on this model, two new amido ketone compounds (R,S)-2-acetamido-5-phenyl-3-pentanone and cis/trans-(R,S)-2-acetamido-5-phenyl-4-penten-3-one were synthesized and shown to have significant anticonvulsant activity in the MES test.Key words: QSAR, anticonvulsant, benzylacetamide, functionalized amino acid, amido ketones.
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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) | 0.000 | 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 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".