The Development of Exogenous Anticonvulsants and Endogenous Uracil-Based Antiepileptic Agents
Bibliographic record
Abstract
Epilepsy is a common neurological disorder for which the development of new and improved therapies is essential. Thus, the central theme of this thesis pertains to the design and synthesis of putative antiepileptic drugs. A substructure search was performed on a database of exogenous compounds to find those that contain a known sodium channel pharmacophore. The anticonvulsant activity of several compounds identified by this search was evaluated, resulting in the recognition of multiple molecular classes from which new anticonvulsant scaffolds could be derived. A series of analogues derived from uracil (an endogenous molecule) were synthesized and evaluated for anticonvulsant activity. Several of these analogues displayed promising activity and minimal toxicity, further supporting the theory that uracils could serve as potent, non-toxic, broad-range antiepileptic drugs capable of targeting both ictogenesis and epileptogenesis. A uracil QSAR model was also developed that could be used in the future to guide further analogue synthesis.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".