Synthesis and Structure‐Activity Relationship Analysis of 2‐Substituted‐1,2,4‐Triazolo[1,5‐a]Pyrimidin‐7‐Ones and their 6‐Carboxylate Derivatives as Xanthine Oxidase Inhibitors
Bibliographic record
Abstract
Hyperuricemia is characterised by high blood levels of uric acid, and it can degenerate into gout when monosodium urate crystals precipitate in joints and other tissues. Uric acid is produced during the catabolism of xanthine by the enzyme xanthine oxidase (XO), which is the primary therapeutic target in gout treatment. Current XO inhibitors approved to treat gout, such as allopurinol and febuxostat, suffer from serious adverse effects, creating the need for new drug molecules. Three libraries comprising 75 purine analogues were designed using a 1,2,4-triazolo[1,5-a]pyrimidine scaffold, synthesised and tested in vitro as potential XO inhibitors. The screening identified that 23 compounds exhibited better inhibitory activity than allopurinol, with 2-(4-isopropoxyphenyl)-7-oxo-4,7-dihydro-1,2,4-triazolo[1,5-a]pyrimidine-6-carboxylic acid being 23 times more potent. Enzyme kinetics studies and molecular docking simulations were performed on the most active compounds to identify the mechanism of action and intermolecular interactions between the active site of XO and the inhibitors. The most potent compounds exhibited a mix-type inhibition mechanism and were predicted to interact with the same amino acid residues as allopurinol. These novel purine analogues are promising hits for further new lead development among purine-like drug XO inhibitors with therapeutic potential in the treatment of hyperuricemia and associated diseases.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".