0000000000308797

AUTHOR

Mark T. D. Cronin

showing 3 related works from this author

Alternative Methods for Skin Sensitisation Testing

1996

OncologyAlternative methodsmedicine.medical_specialtyChemical compoundGeneral MedicineToxicologyGeneral Biochemistry Genetics and Molecular BiologyMedical Laboratory Technologychemistry.chemical_compoundmedicine.anatomical_structureInvestigation methodschemistryInternal medicinemedicinemedia_common.cataloged_instanceEuropean unionSensitizationmedia_commonAlternatives to Laboratory Animals
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Quantitative structure-activity relationships for the toxicity of organophosphorus and carbamate pesticides to the Rainbow trout Onchorhyncus mykiss.

2006

This study has investigated the development of quantitative structure-activity relationships (QSARs) for the toxicity to rainbow trout Onchorhyncus mykiss Walbaum of 75 organophosphorus and carbamate pesticides. The toxicity data were obtained from an openly available toxicological database and were selected to be representative of a single endpoint. A large number of physicochemical and structural descriptors were calculated for the pesticides. QSAR models were developed using multiple linear regression and partial least-squares analyses. Following the removal of a small number of outliers, predictive QSARs were developed on small numbers of mechanistically relevant descriptors. Applying m…

Quantitative structure–activity relationshipCarbamatemedicine.medical_treatmentQuantitative Structure-Activity RelationshipRisk AssessmentToxicologyOrganophosphorus CompoundsmedicineAnimalsPesticidesToxicity dataChemistryQuantitative structureGeneral MedicinePesticideCarbamate pesticidesInsect ScienceEnvironmental chemistryOncorhynchus mykissToxicityMultivariate AnalysisLinear ModelsRainbow troutCarbamatesCholinesterase InhibitorsAgronomy and Crop SciencePest management science
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Application of the modelling power approach to variable subset selection for GA-PLS QSAR models

2007

A previously developed function, the Modelling Power Plot, has been applied to QSARs developed using partial least squares (PLS) following variable selection from a genetic algorithm (GA). Modelling power (Mp) integrates the predictive and descriptive capabilities of a QSAR. With regard to QSARs for narcotic toxic potency, Mp was able to guide the optimal selection of variables using a GA. The results emphasise the importance of Mp to assess the success of the variable selection and that techniques such as PLS are more robust following variable selection.

Quantitative structure–activity relationshipChemistrybusiness.industryQuantitative Structure-Activity RelationshipFeature selectionFunction (mathematics)Machine learningcomputer.software_genreModels BiologicalBiochemistryPlot (graphics)Analytical ChemistryPower (physics)StatisticsPartial least squares regressionGenetic algorithmEnvironmental ChemistryArtificial intelligenceLeast-Squares AnalysisbusinesscomputerAlgorithmsSpectroscopySelection (genetic algorithm)Analytica Chimica Acta
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