Isolation and Structure Elucidation of Bioactive Compounds Chemical as Inhibitors of the Enzyme ?-Glucosidase Raru Bark Ethanol Extract (Vatica pauciflora Blume)
Bibliographic record
Abstract
Inhibitory compound of ?-glucosidase bioactivity was isolated from ethanol extract of the stem bark of raru(Vatica pauciflora Blume) which, is a wild plant that grows in Tapanuli state in Indonesia.The ethanol extract ofthe stem bark of raru was partitioned and was chromatographed on columns with stationare fase silica gel 60mesh F254 (0.063 mm-0.200 mm). The ethanol extract of isolates showed the enzyme ?-glucosidase inhibitor IC50of 93.46. The next step is the determination of the chemical structure of the Ultraviolet–visible spectroscopy (UVVis); FT-IR (Fourier Transform Infrared spectroscopy), NMR (Nuclear Magnetic Resonance) namely COSY,Heteronuclear Multiple-Quantum Correlation (HMQC); and Heteronuclear Multiple-Bond Correlation (HMBC).It found of compounds consist of two of methoxy, one of aromatic, and one of carbonil compounds. The isolat isa 3,4,9,Trihidroxy-2-(hydroxymethyl)-8-10-dimethoxy-2-3-4atetrahydropyrano(3,2-c)isochromen-6(10bH)-oneacording to International Union of Pure and Applied Chemistry (IUPAC).
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".