One-Pot Synthesis of Glycosyl-β-azido Ester via Diazotransfer Reaction Toward Access of Glycosyl-β-triazolyl Ester
Bibliographic record
Abstract
A concise and efficacious one-pot protocol for the synthesis of novel glycosyl-β-azido ester 3 from glycosyl olefinic ester 1 under mild conditions has been devised. The β-aminoester, formed by the conjugate addition of ammonia on olefinic ester, undergoes a metal-catalyzed diazotransfer reaction to furnish glycosyl-β-azido ester. The optimized conditions for diazotransfer reaction indicate that imidazole-1-sulphonyl azide and K2CO3 give the best results in the presence of ZnCl2. A diverse range of novel regioselective triazolyl glycoconjugates 6a-u have been achieved in high yields via 1,3-dipolar cycloaddition of compound 3 with various alkynes in the presence of CuI/DIPEA. Structures of all the compounds have been elucidated using IR, NMR, MS, and elemental analysis, and four of them (3a, 3b, 4b, and 6a) have also been characterized by single crystal X-ray diffraction analysis.
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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) | 0.001 | 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) | 0.001 | 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".