MétaCan
Menu
Back to cohort
Record W2962176151 · doi:10.1021/acs.jnatprod.9b00318

Structure Elucidation and Relative Toxicity of (24<i>R</i>)-24-Hydroxyyessotoxin from a Namibian Isolate of <i>Gonyaulax spinifera</i>

2019· article· en· W2962176151 on OpenAlexaff
Isabelle Rajotte, Cheryl Rafuse, Elliott J. Wright, John C. Achenbach, Lee Ellis, Pearse McCarron

Bibliographic record

VenueJournal of Natural Products · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Toxins and Detection Methods
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsMass spectrometryStrain (injury)ToxicityChromatographyChemistryNuclear magnetic resonance spectroscopyHigh resolutionSolventStereochemistryBiologyBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Liquid chromatography–high-resolution mass spectrometry (LC-HRMS) analysis of a Namibian strain of Gonyaulax spinifera showed the presence of a number of yessotoxins (YTXs). Principal among these were YTX (1), homoYTX (2), and a tentative hydroxylated analogue that did not correspond to any previously confirmed YTX structures. Culturing the G. spinifera strain afforded sufficient biomass for purification of the new analogue through a series of solvent partitioning and chromatographic steps, yielding ∼0.9 mg as a solid. NMR spectroscopy, ion-trap mass spectrometry, and HRMS identified the new analogue as 24-hydroxyYTX (7). Purified 24-hydroxyYTX was quantitated by NMR, and its relative toxicity evaluated using two embryonic zebrafish toxicity assays. 24-HydroxyYTX demonstrated reduced toxicity compared to YTX.

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)0.001
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 score0.165
Threshold uncertainty score0.515

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.006
GPT teacher head0.226
Teacher spread0.220 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Natural ProductsSame topicMarine Toxins and Detection MethodsFrench-language works237,207