Design, synthesis and in vitro evaluation of novel sulfonylurea and sulfonylthiourea as ectonucleotidases inhibitors
Bibliographic record
Abstract
Herein, we describe the design, synthesis and biological evaluation of a series of novel non-nucleotide sulfonylurea and sulfonylthiourea based small molecule inhibitors of h-ENPP1, h-ENPP3 and e5′NT. Among the tested compounds, 3b inhibited h-ENPP1 with an IC50 value of 0.11 ± 0.01 µM. Similarly, 4b was found to be the most potent inhibitor tested against h-ENPP3 with an IC50 value of 0.038 ± 0.02 µM. Compound 3a revealed remarkable inhibitory potency against human ecto-5′-nucleotidase with an IC50 value of 0.83 ± 0.01 µM while compound 3b possessed IC50 value of 0.26 ± 0.05 µM against rat ecto-5′-nucleotidase. Antiproliferative activity of novel sulfonylurea and sulfonylthiourea derivatives was investigated on breast cancer cell line (MCF-7). Compound 4a showed anticancer activity against MCF-7 cell line with percentage inhibition of 64 and successfully arrested the viability of cancer cells. The compounds were not cytotoxic to the normal cells derived from baby hamster kidney (BHK-21).
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".