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Record W1992140846 · doi:10.1080/10934520701244326

Quantitative structure—activity relationships for the prediction of relative in vitro potencies (REPs) for chloronaphthalenes

2007· article· en· W1992140846 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

VenueJournal of Environmental Science and Health Part A · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsIn vivoIn vitroReporter geneTransfectionLuciferaseEndogenyAryl hydrocarbon receptorChemistryGeneCell cultureIn vitro toxicologyGene expressionBiologyCell biologyBiochemistryGeneticsTranscription factor

Abstract

fetched live from OpenAlex

Chloronaphthalenes (CNs), due to their structural similarities to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and the other "dioxin-like" compounds, can bind to the aryl hydrocarbon receptor (AhR) and induce a wide range of pleotrophic effects. Relative potency of individual dioxin analogues can be measured relative to that of TCDD. Relative effects potencies (REP) can be based on many responses, including in vivo and in vitro responses. Both in vivo and in vitro tests, based on either indigenous responses such as the induction of ethoxyresorufin O-deethylase (EROD) or exogenous reporter genes under the control of the AhR such as luciferase can be used to determine REP values. Here we used measured REP values determined for CNs in two assays. Both assays are based on H4IIE rat hepatoma cells. The H4IIE assay is based on expression of the endogenous reporter gene (CYP-1 A) that codes for the expression of EROD and the H4IIE-luc assay which is based on the exogenous reporter gene (luciferase) transfected into the H4IIE cell line. Experimentally determined REP were available for only 17 and 18 of the 75 possible choronaphthalene congeners, for the H4IIE and H4IIE-luc assays, respectively. For this reason computational models were developed to allow prediction of the relative potencies of the other CN congeners. Predictive relationships were based on quantum chemical descriptors obtained from Density Functional Theory (DFT) calculations (B3LYP/6-311++G**). The final models were found by means of a hybrid method combining a genetic algorithm and artificial neural networks. REP values estimated for individual CNs based on the H4IIE assay ranged from 4.3 x 10(- 9) to 3.2 x 10(- 2) while those based on the H4IIE-luc assay ranged from 4.0 x 10(- 8) to 1.8 x 10(- 3). CN congeners nos. 66, 67, 70 and 73 were exhibited the greatest REP values in both assays. The 1,2,3,5,6,8-hexaCN congener (no. 68) had a REP value that was 10-fold less. The remaining congeners had REP values that were less or did not cause sufficient up-regulation of the monitored genes to allow for the calculation of a REP. Interactions of CNs with the AhR could be affected by three possible factors: molecular size, steric interactions and electrostatic interactions. These findings are discussed relative to the use of consensus TCDD equivalency factors' (TEFs) for use in risk assessments of CNs for regulatory purposes.

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)0.005
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
Threshold uncertainty score0.348

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.067
GPT teacher head0.327
Teacher spread0.260 · 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