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Record W2125421419 · doi:10.1080/13880200490505474

Isolation and Characterization of Compounds with Anti-prostate Cancer Activity from<i>Arctium lappa</i>L. Using Bioactivity-guided Fractionation

2004· article· en· W2125421419 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePharmaceutical Biology · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant-derived Lignans Synthesis and Bioactivity
Canadian institutionsVancouver General HospitalUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of British Columbia
KeywordsArctium lappaLNCaPFractionationChemistryProstate cancerTraditional medicineCytotoxicityCancer cell linesCancerChromatographyMedicineCancer cellBiochemistryIn vitroInternal medicine

Abstract

fetched live from OpenAlex

The methanolic extract of the seeds of Arctium lappa was found to show inhibitory activity against prostate cancer cell lines. Bioactivity-guided fractionation of a 95% ethanol extract from the seeds of A. lappa led to the isolation of seven compounds: β-sitosterol (1), daucosterol (2), lappaol C (3), lappaol A (4), and arctignan E (5), lappaol F (6), and arctiin (7). Their structures were elucidated by UV, IR, MS, and NMR data, as well as by comparison with those of the literature. Compounds 3–7 were studied for their cytotoxicity using a prostate cancer cell line. Compounds 3, 4, and 6 showed activity against the LNCaP prostate cancer cell line with IC50 values of 8, 16, and 40 µg/mL, respectively.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.036
GPT teacher head0.321
Teacher spread0.286 · 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