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Record W2334762324 · doi:10.1055/s-0032-1320584

Anti-mycobacterial natural products from Aralia nudicaulis

2012· article· en· W2334762324 on OpenAlexaffabout
Hongjian Li, TE O'Neill, Katelyn Ellsworth, Duncan Webster, JA Johnson, Charles A. Gray

Bibliographic record

VenuePlanta Medica · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhytochemical Studies and Bioactivities
Canadian institutionsSaint John Regional HospitalUniversity of New Brunswick
Fundersnot available
KeywordsRhizomeAntimycobacterialEndophyteBioassayMycobacterium tuberculosisTraditional medicineBiologyFractionationBotanyMicrobiologyTuberculosisChemistryMedicineChromatography

Abstract

fetched live from OpenAlex

Infusions of the rhizomes of Aralia nudicaulis (wild sarsaparilla) are widely used as a traditional medicine to treat respiratory ailments by various First Nation communities in Canada. Methanolic extracts of A. nudicaulis rhizomes were found to have significant antimycobacterial activity when screened in the microplate resazurin assay against Mycobacterium tuberculosis (H37Ra). Bioassay guided fractionation of the rhizome extract resulted in the isolation of two C17 diynes identified as falcarinol and panaxydol by NMR and MS that exhibited MICs of 25.6µM and 36.0µM and IC50s of 15.3µM and 23.5µM against M. tuberculosis (H37Ra), respectively. Additionally, seven endophytic fungi were isolated from the leaves of A. nudicaulis, and extracts of two of these have also exhibited significant anti-mycobacterial activity. The endophyte extracts will be screened using LC-MS to investigate whether falcarinol and panaxydol could be responsible for the anti-mycobacterial activity of both plant and endophyte extracts.

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)0.000
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 score0.250
Threshold uncertainty score0.454

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 head0.010
GPT teacher head0.226
Teacher spread0.216 · 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

Citations1
Published2012
Admission routes2
Has abstractyes

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