Optimization of 2,8-Diaryl-1,5-naphthyridines as <i>Plasmodium falciparum</i> Phosphatidylinositol 4-Kinase Inhibitors with Improved ADME Profiles and In Vivo Efficacy
Bibliographic record
Abstract
Abstract Previously reported antimalarial Plasmodium phosphatidylinositol 4-kinase IIIβ 2,8-diaryl-1,5-naphthyridine inhibitors have shown suboptimal physicochemical and pharmacokinetic properties. A focused target-based structure–activity relationship and structure–property optimization studies identified several compounds with good target and whole-cell activities and improved physicochemical properties. A new frontrunner compound 27 showed an improved pharmacokinetic profile and reduced parasitaemia (91% at 4 × 50 mg/kg QD doses) in the humanized NOD-scid IL-2Rγnull mouse model of Plasmodium falciparum malaria. Compound 27 poses no hERG channel inhibition at high concentrations or mammalian cytotoxicity but shows low selectivity against related human lipid kinases (PI3Kα and PI4Kβ); however, significantly higher selectivity margins were observed against the human MINK1 and MAP4K4 kinases.
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 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) | 0.001 | 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".