Cargando…

Dataset for the quantitative structure-activity relationship (QSAR) modeling of the toxicity equivalency factors (TEFs) of PAHs and transformed PAH products

Sixteen significant physicochemical predictor variables for thirty PAHs and transformed PAH products (TPPs) were retrieved individually prior to collation from ChemSpider.com [1] whilst their corresponding toxicity equivalency factor (TEF) end-point was obtained from published articles by Bortey-Sam...

Descripción completa

Detalles Bibliográficos
Autores principales: Gbeddy, Gustav, Egodawatta, Prasanna, Goonetilleke, Ashantha, Ayoko, Godwin, Chen, Lan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6909136/
https://www.ncbi.nlm.nih.gov/pubmed/31871978
http://dx.doi.org/10.1016/j.dib.2019.104821
_version_ 1783478892964610048
author Gbeddy, Gustav
Egodawatta, Prasanna
Goonetilleke, Ashantha
Ayoko, Godwin
Chen, Lan
author_facet Gbeddy, Gustav
Egodawatta, Prasanna
Goonetilleke, Ashantha
Ayoko, Godwin
Chen, Lan
author_sort Gbeddy, Gustav
collection PubMed
description Sixteen significant physicochemical predictor variables for thirty PAHs and transformed PAH products (TPPs) were retrieved individually prior to collation from ChemSpider.com [1] whilst their corresponding toxicity equivalency factor (TEF) end-point was obtained from published articles by Bortey-Sam, Ikenaka [2] and Wei, Bandowe [3]. In order to achieve a 5:1 ratio of the number of observations to predictors which is vital for an effective quantitative structure-activity relationship (QSAR) modelling, factor analysis was used to reduce the data. Four fundamental predictors were obtained whilst the observations were found to cluster into two main groups of nitro-PAHs and other analytes. It is anticipated that the data presented here is highly relevant for future studies on the toxicity and health effects of the analytes in the environment. Secondly, the fate and distribution patterns of PAHs and TPPs are influenced by the parameters in the dataset. In this regard, studies on the behaviour patterns of these environmental pollutants require this information for a comprehensive evaluation and interpretation of results. Researchers across varied fields of environmental science and toxicology will find this dataset very useful. This data currently serves as supplementary information for the research article in the Journal of Hazardous Materials by Gbeddy, Egodawatta [4].
format Online
Article
Text
id pubmed-6909136
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-69091362019-12-23 Dataset for the quantitative structure-activity relationship (QSAR) modeling of the toxicity equivalency factors (TEFs) of PAHs and transformed PAH products Gbeddy, Gustav Egodawatta, Prasanna Goonetilleke, Ashantha Ayoko, Godwin Chen, Lan Data Brief Environmental Science Sixteen significant physicochemical predictor variables for thirty PAHs and transformed PAH products (TPPs) were retrieved individually prior to collation from ChemSpider.com [1] whilst their corresponding toxicity equivalency factor (TEF) end-point was obtained from published articles by Bortey-Sam, Ikenaka [2] and Wei, Bandowe [3]. In order to achieve a 5:1 ratio of the number of observations to predictors which is vital for an effective quantitative structure-activity relationship (QSAR) modelling, factor analysis was used to reduce the data. Four fundamental predictors were obtained whilst the observations were found to cluster into two main groups of nitro-PAHs and other analytes. It is anticipated that the data presented here is highly relevant for future studies on the toxicity and health effects of the analytes in the environment. Secondly, the fate and distribution patterns of PAHs and TPPs are influenced by the parameters in the dataset. In this regard, studies on the behaviour patterns of these environmental pollutants require this information for a comprehensive evaluation and interpretation of results. Researchers across varied fields of environmental science and toxicology will find this dataset very useful. This data currently serves as supplementary information for the research article in the Journal of Hazardous Materials by Gbeddy, Egodawatta [4]. Elsevier 2019-11-20 /pmc/articles/PMC6909136/ /pubmed/31871978 http://dx.doi.org/10.1016/j.dib.2019.104821 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Environmental Science
Gbeddy, Gustav
Egodawatta, Prasanna
Goonetilleke, Ashantha
Ayoko, Godwin
Chen, Lan
Dataset for the quantitative structure-activity relationship (QSAR) modeling of the toxicity equivalency factors (TEFs) of PAHs and transformed PAH products
title Dataset for the quantitative structure-activity relationship (QSAR) modeling of the toxicity equivalency factors (TEFs) of PAHs and transformed PAH products
title_full Dataset for the quantitative structure-activity relationship (QSAR) modeling of the toxicity equivalency factors (TEFs) of PAHs and transformed PAH products
title_fullStr Dataset for the quantitative structure-activity relationship (QSAR) modeling of the toxicity equivalency factors (TEFs) of PAHs and transformed PAH products
title_full_unstemmed Dataset for the quantitative structure-activity relationship (QSAR) modeling of the toxicity equivalency factors (TEFs) of PAHs and transformed PAH products
title_short Dataset for the quantitative structure-activity relationship (QSAR) modeling of the toxicity equivalency factors (TEFs) of PAHs and transformed PAH products
title_sort dataset for the quantitative structure-activity relationship (qsar) modeling of the toxicity equivalency factors (tefs) of pahs and transformed pah products
topic Environmental Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6909136/
https://www.ncbi.nlm.nih.gov/pubmed/31871978
http://dx.doi.org/10.1016/j.dib.2019.104821
work_keys_str_mv AT gbeddygustav datasetforthequantitativestructureactivityrelationshipqsarmodelingofthetoxicityequivalencyfactorstefsofpahsandtransformedpahproducts
AT egodawattaprasanna datasetforthequantitativestructureactivityrelationshipqsarmodelingofthetoxicityequivalencyfactorstefsofpahsandtransformedpahproducts
AT goonetillekeashantha datasetforthequantitativestructureactivityrelationshipqsarmodelingofthetoxicityequivalencyfactorstefsofpahsandtransformedpahproducts
AT ayokogodwin datasetforthequantitativestructureactivityrelationshipqsarmodelingofthetoxicityequivalencyfactorstefsofpahsandtransformedpahproducts
AT chenlan datasetforthequantitativestructureactivityrelationshipqsarmodelingofthetoxicityequivalencyfactorstefsofpahsandtransformedpahproducts