Convergent Preparation of DimLe<sup>x</sup> Hexasaccharide Analogues
Bibliographic record
Abstract
Abstract We report the convergent preparation of four hexasaccharides to be used towards the synthesis of a safe anticancer vaccine based on the tumor‐associated carbohydrate antigen dimLex. A common trisaccharide intermediate was first synthesized as a precursor to the tetrasaccharide backbones. These tetrasaccharides were then converted into diol acceptors and fucosylated at O‐3 of both glucosamine residues. The conditions required to promote fucosylation at O‐3 of the reducing end glucosamine units led to some loss of the fucosyl units already introduced at O‐3 of the nonreducing end glucosamine residues. Despite this hurdle, optimization of the glycosylation conditions provided the desired hexasaccharides in sufficient quantities to prepare the final analogues. Propyl glycosides and cysteamine adducts were prepared easily in two steps from the protected allyl glycoside hexasaccharides, and a one‐step deprotection under metal‐dissolving conditions was key to our deprotection strategy.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".