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Chemical Constituents and Anti-dengue Activity of the Metabolites from Helicia Petelotii Collected in Sapa, Vietnam

2025· article· W7160499166 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEngineering and Technology For Sustainable Development · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicZiziphus Jujuba Studies and Applications
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsChemical constituentsDaucosterolDengue virusGlycerolVirusChemical composition

Abstract

fetched live from OpenAlex

From the leaves, twigs, and fruits of Helicia petelotii collected from the Hoang Lien mountain range in Sapa, Vietnam, six compounds were isolated including β-sitosterol (1), daucosterol (2), 3-O-[β-D-(6'-nonadecanoate)glucopyranosyl]-β-sitosterol (3), β-arbutin (4), breynioside B (5), and glycerol monostearate (6). Among them, compounds 3 and 6 were isolated from the fruits, while compounds 1, 2, 4, and 5 were obtained from the leaves and twigs. Advanced spectroscopic methods such as NMR and HR-ESI-MS were applied to accomplish the structures identification of the above compounds. The anti-denge potential of compounds 1-6 were examined against two dengue virus serotypes, DENV-1 and DENV-2. Among them compounds 3 and 5 demonstrated inhibitory activity against DENV-2, with PNRT₅₀ values of 18.25 µM and 159.43 µM, respectively, while the remaining compounds were inactive against all the virus serotypes. This is the first report of phytochemicals and antiviral properties of Helicia petelotii against Dengue virus.

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.004
GPT teacher head0.191
Teacher spread0.187 · 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