Synthesis of Cis-Fused Pyran Indolocarbazole Derivatives that Inhibit FLT3 Kinase and the DNA Damage Kinase, Checkpoint Kinase 1
Bibliographic record
Abstract
Protein kinases are important enzymes in solid tumour and leukaemia pathologies. Their structures are well understood at the atomic level and their key role in the progression of certain cancers makes them valuable targets for anti-cancer therapy. Through medicinal chemical approaches, we developed an efficient preparative stereospecific synthesis of N12, N13 pyran-bridged indolocarbazoles that opens access to functional diversity within this previously challenging series. We focused upon the indolocarbazole class of chemical inhibitors, which includes S27888, an inhibitor we previously identified. We used biochemical and cell-based assays to identify small molecule inhibitors of Checkpoint kinase 1 (Chk1), a serine/threonine protein kinase that is activated when cancer cells are treated with genotoxic agents. These compounds show a promising inhibitory profile on Chk1. Furthermore, these compounds are active against FLT3, which is a tyrosine kinase that is frequently activated in human leukaemias. These data suggest that this chemical class may provide a source of therapeutic compounds for a broad range of human cancers.
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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) | 0.002 | 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".