Synthesis of Daunorubicin Analogues Containing Truncated Aromatic Cores and Unnatural Monosaccharide Residues
Bibliographic record
Abstract
The anthracycline antibiotics daunorubicin and doxorubicin have been used widely as anticancer drugs, but their cardiotoxicity limits their clinical use. We describe here the preparation of a small panel of daunorubicin analogues in which the anthraquinone core is replaced with simpler aromatic moieties that lack a quinone functionality. The targets consist of a functionalized 1,2,3,4-tetrahydro-naphthalene or 1,2,3,4-tetrahydro-anthracene core bound to one of three monosaccharides: daunosamine, acosamine, or 4-amino-2,3,6-trideoxy-l-threo-hexopyranose. Key steps in the synthesis included an enantioselective ring opening of benzo-fused norbornene derivatives for the preparation of the core structures and the use of silver hexafluorophosphate-promoted thioglycoside activation in the glycosylation of these cores. Evaluation of these compounds against the MCF-7 cancer cell line demonstrated that the identity of the carbohydrate moiety appeared to have little influence on the cytotoxicity. Moreover, the analogues with the 1,2,3,4-tetrahydro-naphthalene core showed no cytotoxicity, while those possessing the 1,2,3,4-tetrahydro-anthracene moiety were more active. The IC50 values for the latter group of compounds were in the range of 94-134 microM, compared to 17 microM for doxorubicin and 5 microM for daunorubicin.
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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) | 0.001 | 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".