Synthesis and Testing of 2-Deoxy-2,2-Dihaloglycosides as Mechanism-Based Inhibitors of α-Glycosidases
Bibliographic record
Abstract
The synthesis of a series of 2-deoxy-2,2-dihaloglycosyl halides as potential alpha-glycosidase inactivators has been achieved via the halogenation of protected 2-fluoroglycal precursors. Direct chlorination of per-O-acetylated 2-fluoro-d-glucal and 2-fluoromaltal followed by basic deprotection yielded the corresponding 2-chloro-2-deoxy-2-fluoroglycosyl chlorides. Reaction of the per-O-acetylated 2-fluoroglycals with acetyl hypofluorite or Selectfluor yielded the 2-deoxy-2,2-difluoroglycosyl derivatives, which were converted to their alpha-chlorides using thionyl chloride and deprotected under basic conditions. Trinitrophenyl glycosides of the 2-deoxy-2,2-difluoro mono- and disaccharides were synthesized by arylation of the hemiacetals with picryl fluoride, then deprotected with HCl in methanol. All three monosaccharide derivatives caused active site-directed, time-dependent inactivation of yeast alpha-glucosidase via the trapping of covalent glycosyl-enzyme intermediates, and kinetic parameters for inactivation by each compound were determined. Surprisingly neither of the 2-deoxy-2,2-dihalomaltosyl chlorides caused time-dependent inactivation of human pancreatic alpha-amylase, despite the fact that the trinitrophenyl 2-deoxy-2,2-difluoromaltoside functioned in that mode. The trinitrophenyl glycosides appear to be approximately 1000-fold more reactive than the corresponding chlorides in the enzyme active sites.
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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 | 0.000 |
| 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".