Matches in SemOpenAlex for { <https://semopenalex.org/work/W4368360908> ?p ?o ?g. }
- W4368360908 endingPage "284" @default.
- W4368360908 startingPage "267" @default.
- W4368360908 abstract "Some adverse effects of hydroxylated polychlorinated biphenyls (OH-PCBs) in humans are presumed to be initiated via thyroid hormone receptor (TR) binding. Due to the trial-and-error approach adopted for OH-PCB selection in previous studies, experiments designed to test the TR binding hypothesis mostly utilized inactive OH-PCBs, leading to considerable waste of time, effort and other material resources. In this paper, linear discriminant analysis (LDA) and binary logistic regression (LR) were used to develop classification models to group OH-PCBs into active and inactive TR agonists using radial distribution function (RDF) descriptors as predictor variables. The classifications made by both LDA and LR models on the training set compounds resulted in an accuracy of 84.3%, sensitivity of 72.2% and specificity of 90.9%. The areas under the ROC curves, constructed with the training set data, were found to be 0.872 and 0.880 for LDA and LR models, respectively. External validation of the models revealed that 76.5% of the test set compounds were correctly classified by both LDA and LR models. These findings suggest that the two models reported in this paper are good and reliable for classifying OH-PCB congeners into active and inactive TR agonists." @default.
- W4368360908 created "2023-05-05" @default.
- W4368360908 creator A5017427535 @default.
- W4368360908 creator A5032573298 @default.
- W4368360908 creator A5033339409 @default.
- W4368360908 creator A5060190228 @default.
- W4368360908 date "2023-04-03" @default.
- W4368360908 modified "2023-10-02" @default.
- W4368360908 title "Development of binary classification models for grouping hydroxylated polychlorinated biphenyls into active and inactive thyroid hormone receptor agonists" @default.
- W4368360908 cites W1505090413 @default.
- W4368360908 cites W1519593092 @default.
- W4368360908 cites W1545231783 @default.
- W4368360908 cites W1996851544 @default.
- W4368360908 cites W2002291827 @default.
- W4368360908 cites W2005997880 @default.
- W4368360908 cites W2009280998 @default.
- W4368360908 cites W2017422910 @default.
- W4368360908 cites W2022115167 @default.
- W4368360908 cites W2030776434 @default.
- W4368360908 cites W2032676935 @default.
- W4368360908 cites W2038849267 @default.
- W4368360908 cites W2040609979 @default.
- W4368360908 cites W2042483230 @default.
- W4368360908 cites W2043747546 @default.
- W4368360908 cites W2054262928 @default.
- W4368360908 cites W2065242456 @default.
- W4368360908 cites W2083567971 @default.
- W4368360908 cites W2086813946 @default.
- W4368360908 cites W2089913275 @default.
- W4368360908 cites W2091589454 @default.
- W4368360908 cites W2092941661 @default.
- W4368360908 cites W2093685423 @default.
- W4368360908 cites W2095879551 @default.
- W4368360908 cites W2101779426 @default.
- W4368360908 cites W2120901082 @default.
- W4368360908 cites W2121416807 @default.
- W4368360908 cites W2125761581 @default.
- W4368360908 cites W2131334399 @default.
- W4368360908 cites W2133263603 @default.
- W4368360908 cites W2137047274 @default.
- W4368360908 cites W2141411921 @default.
- W4368360908 cites W2149044745 @default.
- W4368360908 cites W2150271654 @default.
- W4368360908 cites W2158302001 @default.
- W4368360908 cites W2159887157 @default.
- W4368360908 cites W2167952887 @default.
- W4368360908 cites W2219114748 @default.
- W4368360908 cites W2341261878 @default.
- W4368360908 cites W2410796076 @default.
- W4368360908 cites W2514857244 @default.
- W4368360908 cites W2606882147 @default.
- W4368360908 cites W2799468760 @default.
- W4368360908 cites W2803189886 @default.
- W4368360908 cites W2838359451 @default.
- W4368360908 cites W2883470347 @default.
- W4368360908 cites W2885448192 @default.
- W4368360908 cites W2914935731 @default.
- W4368360908 cites W2972209952 @default.
- W4368360908 cites W2990959265 @default.
- W4368360908 cites W3010813949 @default.
- W4368360908 cites W3097856695 @default.
- W4368360908 cites W4221082932 @default.
- W4368360908 cites W4230526579 @default.
- W4368360908 cites W4248595930 @default.
- W4368360908 cites W4280508969 @default.
- W4368360908 cites W4281606122 @default.
- W4368360908 cites W4283033065 @default.
- W4368360908 cites W911658671 @default.
- W4368360908 doi "https://doi.org/10.1080/1062936x.2023.2207039" @default.
- W4368360908 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37139950" @default.
- W4368360908 hasPublicationYear "2023" @default.
- W4368360908 type Work @default.
- W4368360908 citedByCount "1" @default.
- W4368360908 countsByYear W43683609082023 @default.
- W4368360908 crossrefType "journal-article" @default.
- W4368360908 hasAuthorship W4368360908A5017427535 @default.
- W4368360908 hasAuthorship W4368360908A5032573298 @default.
- W4368360908 hasAuthorship W4368360908A5033339409 @default.
- W4368360908 hasAuthorship W4368360908A5060190228 @default.
- W4368360908 hasConcept C105795698 @default.
- W4368360908 hasConcept C12267149 @default.
- W4368360908 hasConcept C151956035 @default.
- W4368360908 hasConcept C154945302 @default.
- W4368360908 hasConcept C169903167 @default.
- W4368360908 hasConcept C185592680 @default.
- W4368360908 hasConcept C33923547 @default.
- W4368360908 hasConcept C41008148 @default.
- W4368360908 hasConcept C66905080 @default.
- W4368360908 hasConcept C69738355 @default.
- W4368360908 hasConceptScore W4368360908C105795698 @default.
- W4368360908 hasConceptScore W4368360908C12267149 @default.
- W4368360908 hasConceptScore W4368360908C151956035 @default.
- W4368360908 hasConceptScore W4368360908C154945302 @default.
- W4368360908 hasConceptScore W4368360908C169903167 @default.
- W4368360908 hasConceptScore W4368360908C185592680 @default.
- W4368360908 hasConceptScore W4368360908C33923547 @default.
- W4368360908 hasConceptScore W4368360908C41008148 @default.
- W4368360908 hasConceptScore W4368360908C66905080 @default.