Regioselective Activation Of Glycosyl Acceptors By a Diarylborinic Acid Catalyst
Bibliographic record
Abstract
The realization that oligosaccharides play a central role in many biological processes has led to increasing interest in the preparation of synthetic targets for use in medical or biochemical research and drug discovery. The preparation of oligosaccharides from simple carbohydrate derivatives requires efficient methods for the construction of O-glycosidic bonds. Much effort has been made towards the development of selective methods for the preparation of oligosaccharide targets. The most common method to overcome the challenge of regioselectivity is the use of protecting group manipulations to suppress glycosylation at undesired positions. This is highly inefficient in terms of atom and step economy. Organoboron catalysis is a recent strategy that imparts regioselective activation of the equatorial hydroxy group of cis-vicinal diols towards functionalization. Following the initial findings that diarylborinic acid catalyzes the regioselective acylation of carbohydrate derivatives, an analogous method for regioselective glycosylation under Koenigs-Knorr conditions has been developed.
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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) | 0.001 | 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".