Identification of Substituted 4-Aminocinnolines as Broad-Spectrum Antiparasitic Agents
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Neglected tropical diseases such as Chagas disease, human African trypanosomiasis, leishmaniasis, and schistosomiasis have a significant global health impact in predominantly developing countries, although these diseases are spreading due to increased international travel and population migration. Drug repurposing with a focus on increasing antiparasitic potency and drug-like properties is a cost-effective and efficient route to the development of new therapies. Here we identify compounds that have potent activity against Trypanosoma cruzi and Leishmania donovani, and the latter were progressed into the murine model of infection. Despite the potent in vitro activity, there was no effect on parasitemia, necessitating further work to improve the pharmacokinetic properties of this series. Nonetheless, valuable insights have been obtained into the structure–activity and structure–property relationships of this compound series.
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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) | 0.003 | 0.001 |
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".