Isonicotinohydrazones as inhibitors of alkaline phosphatase and ecto‐5′‐nucleotidase
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A series of isonicotinohydrazide derivatives was synthesized and tested against recombinant human and rat ecto-5'-nucleotidases (h-e5'NT and r-e5'NT) and alkaline phosphatase isozymes including both bovine tissue-non-specific alkaline phosphatase (b-TNAP) and tissue-specific calf intestinal alkaline phosphatase (c-IAP). These enzymes are implicated in vascular calcifications, hypophosphatasia, solid tumors, and cancers, such as colon, lung, breast, pancreas, and ovary. All tested compounds were active against both enzymes. The most potent inhibitor of h-e5'NT was derivative (E)-N'-(1-(3-(4-fluorophenyl)-5-phenyl-4,5-dihydro-1H-pyrazol-1-yl)ethylidene)isonicotinohydrazide (3j), whereas derivative (E)-N'-(4-hydroxy-3-methoxybenzylidene)isonicotinohydrazide (3g) exhibited significant inhibitory activity against r-e5'NT. In addition, the derivative (E)-N'-(4'-chlorobenzylidene)isonicotinohydrazide (3a) was most potent inhibitor against calf intestinal alkaline phosphatase and the derivative (E)-N'-(4-hydroxy-3-methoxybenzylidene)isonicotinohydrazide (3g) was found to be most potent inhibitor of bovine tissue-non-specific alkaline phosphatase. Furthermore, putative binding modes of potent compounds against e5'NT (human and rat e5'NT) and AP (including b-TNAP and c-IAP) were determined computationally.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it