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Record W2289372897

The Development of Exogenous Anticonvulsants and Endogenous Uracil-Based Antiepileptic Agents

2011· article· en· W2289372897 on OpenAlexvenueno aff
Sarah Ward

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2011
Typearticle
Languageen
FieldComputer Science
TopicComputational Drug Discovery Methods
Canadian institutionsnot available
Fundersnot available
KeywordsPharmacophoreAnticonvulsantEpileptogenesisChemistryPharmacologyEpilepsyLacosamideStereochemistryNeuroscienceMedicinePsychology
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.022
GPT teacher head0.178
Teacher spread0.155 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)Same topicComputational Drug Discovery MethodsFrench-language works237,207