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Record W4319656312 · doi:10.1080/14786419.2023.2177289

Antiproliferative <i>p</i> -terphenyl derivatives isolated from the fungus <i>Sarcodon scabripes</i>

2023· article· en· W4319656312 on OpenAlexafffundabout
Hooi Xian Lee, Almas Yaqoob, Wai Ming Li, Chow H. Lee

Bibliographic record

VenueNatural Product Research · 2023
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsUniversity of Northern British Columbia
FundersCanada Foundation for Innovation
KeywordsHeLaSephadexColumn chromatographyCytotoxicityBioassayTerphenylMTT assayChemistryHigh-performance liquid chromatographyFungusStereochemistryTraditional medicineBiologyIn vitroChromatographyOrganic chemistryBiochemistryMedicineBotany

Abstract

fetched live from OpenAlex

The ethanol extract of the fungus Sarcodon scabripes collected from north-central British Columbia, Canada, showed strong antiproliferative activity. Bioassay-guided purification using liquid-liquid extraction and Sephadex LH-20 size-exclusion chromatography, followed by HPLC-MS and 1D/2D NMR analyses, led to the isolation of five known compounds; four p-terphenyl (1-4) derivatives and one phenolic aldehyde (5). Compounds 1, 4, and 5 were isolated for the first time from the Sarcodon genus. The cytotoxicity MTT assay showed that compounds 1-5 have antiproliferative activity against human cervical cancer cells (HeLa). For compounds 1-4, this is the first report of their antiproliferative activity against cancer cells. For compound 2, this is the first report on its bioactivity. To our knowledge, this is the first description of the isolation of bioactive constituents from S. scabripes.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0020.000

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 head0.074
GPT teacher head0.393
Teacher spread0.320 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2023
Admission routes3
Has abstractyes

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