Structure–Activity Relationships of Glucosamine‐Derived Glycerolipids: the Role of the Anomeric Linkage, the Cationic Charge and the Glycero Moiety on the Antitumor Activity
Bibliographic record
Abstract
The potent antitumor activity of 1-O-hexadecyl-2-O-methyl-3-O-(2'-amino-2'-deoxy-β-D-glucopyranosyl)-sn-glycerol (1) was previously shown to arise through an apoptosis-independent pathway. Here, a systematic structure-activity study in which the effects of the anomeric linkage, the cationic charge and the glycero moiety on the antitumor activity is described. Eight analogues of 1 were synthesized, and their antitumor activity against breast (JIMT1 and BT549), pancreas (MiaPaCa2) and prostate (DU145, PC3) cancer was determined. 1-O-Hexadecyl-2-O-methyl-3-O-(2'-amino-2'-deoxy-α-D-glucopyranosyl)-sn-glycerol (2) consistently displayed the most potent activity against all five cell lines with CC(50) values in the range of 6-10 μM. However, replacement of the O-glycosidic linkage by a thioglycosidic linkage or replacement of the amino group by an azide or guanidino group leads to a threefold or greater decrease in potency. The glycero moiety also contributes to the overall activity of 1 and 2 but its effects are of lesser importance. Investigation into the mode of action of this class of compounds revealed that, in agreement with previous findings, the cytotoxic effects arise through induction of large acid vacuoles.
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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".