α-Glucosidase inhibitory activity of compounds isolated from the twig and leaf extracts of Desmos dumosus
Bibliographic record
Abstract
Four new compounds, (+)-(2 S )-desmosdumosone ( 1 ), (+)-(2 R )-7,8-dimethoxy-5-hydroxyflavanone ( 7 ), (+)-(2 R )-7-methoxychamanetin ( 9 ), and (+)-(1ˊ R ,2ˊ R )-phebalosin ( 18 ), and 25 known compounds were isolated from the twig and leaf extracts of Desmos dumosus . Compounds (±)- 7 and (±)- 9 were isolated as racemates and their enantiomers were separated by chiral HPLC. Their structures were elucidated by spectroscopic methods as well as comparisons made from the literature. The absolute configuration of (+)-(1ʹ R ,2ʹ R )- 18 was established by X-ray diffraction analysis using Cu K α radiation and electronic circular dichroism (ECD) spectoscopy. In contrast, the absolute configuration of compounds (+)-(2 S )- 1 , (+)-(2 R )- 7 , and (+)-(2 R )- 9 were identified by comparing their ECD spectra and specific rotations with those of reported known compounds. Compounds 9 , 11 , 13 , 14 , 22 , 25 , and 28 showed α -glucosidase inhibitory activities with IC 50 values ranging from 5.3-52.7 μM, much better than that of standard control (acarbose, IC 50 value 83.5 μM). Compound 13 was the most active with an IC 50 value of 5.3 μM.
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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".