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Record W1996186717 · doi:10.5539/ijc.v6n2p15

Isolation and Structure Elucidation of Bioactive Compounds Chemical as Inhibitors of the Enzyme ?-Glucosidase Raru Bark Ethanol Extract (Vatica pauciflora Blume)

2014· article· en· W1996186717 on OpenAlexvenueno aff
Ida Duma Riris, Tonel Barus, Partomuan Simanjuntak, Basuki Wirjosentono

Bibliographic record

VenueInternational Journal of Chemistry · 2014
Typearticle
Languageen
FieldMedicine
TopicNatural Antidiabetic Agents Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryHeteronuclear moleculeHydroxymethylBark (sound)Two-dimensional nuclear magnetic resonance spectroscopyChemical structureEthanolFlavonoidSilica gelOrganic chemistryNuclear magnetic resonance spectroscopyStereochemistry

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.005
GPT teacher head0.250
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2014
Admission routes1
Has abstractyes

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