Polycyclitols Novel conduritol and carbasugar hybrids as new glycosidase inhibitors
Bibliographic record
Abstract
A family of novel carbasugar analogues (bicyclitols) based on cis-hydrindane and cis-decalin frameworks has been conceptualized. These novel entities can be regarded as conduritol and carbasugar hybrids. Syntheses of these polyhydroxylated entities have been achieved in stereo- and regioselective manners, starting from the readily available DielsAlder adducts of 5,5-dimethoxy-1,2,3,4-tetrachlorocyclopentadiene and appropriate dienophiles like cyclopentadiene or p-benzoquinone, that embody a masked 7-ketonorbornenone moiety. Thermally induced chelotropic elimination of CO from the appropriately functionalized 7-ketonorbornenone derivatives to deliver annulated bicyclic 1,3-cyclohexadiene derivatives was the key step in this synthetic endeavor. Further oxy-functionalization of the 1,3-cyclohexadiene moiety delivered the targeted polycyclitols. A preliminary investigation of the glycosidase inhibitory potency of these bicyclitols, identified compounds 18 and 54 as potent and selective inhibitors of α-glucosidase (yeast).Key words: carbasugar, conduritol, glycomimics, glycosidase inhibitors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".