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Quantitative Structure−Activity Relationship Models for Prediction of the Toxicity of Polybrominated Diphenyl Ether Congeners
Levels of polybrominated diphenyl ethers (PBDEs) are increasing in the environment and may cause long-term health problems in humans. The similarity in the chemical structures of PBDEs and other halogenated aromatic pollutants hints on the possibility that they might share similar toxicological effe...
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Published in: | Environmental science & technology 2005-07, Vol.39 (13), p.4961-4966 |
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description | Levels of polybrominated diphenyl ethers (PBDEs) are increasing in the environment and may cause long-term health problems in humans. The similarity in the chemical structures of PBDEs and other halogenated aromatic pollutants hints on the possibility that they might share similar toxicological effects. In this work, three-dimensional quantitative structure activity relationships (3-D-QSAR) models, using comparative molecular field analysis (CoMFA) and comparative similarity indices analysis (CoMSIA), were built based on calculated structural indices and a reported experimental toxicology index (aryl hydrocarbon receptor relative binding affinities, RBA) of 18 PBDEs congeners, to determine the factors required for the RBA of these PBDEs. After performing leave-one-out cross-validation, satisfactory results were obtained with cross-validation Q 2 and R 2 values of 0.580 and 0.995 by the CoMFA model and 0.680 and 0.982 by the CoMSIA model, respectively. The results showed clearly that the nonplanar conformations of PBDEs result in the lowest energy level and that the electrostatic index was the main factor reflecting the RBA of PBDEs. The two QSAR models were then used to predict the RBA value of 46 PBDEs for which experimental values are unavailable at present. |
doi_str_mv | 10.1021/es050017n |
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The similarity in the chemical structures of PBDEs and other halogenated aromatic pollutants hints on the possibility that they might share similar toxicological effects. In this work, three-dimensional quantitative structure activity relationships (3-D-QSAR) models, using comparative molecular field analysis (CoMFA) and comparative similarity indices analysis (CoMSIA), were built based on calculated structural indices and a reported experimental toxicology index (aryl hydrocarbon receptor relative binding affinities, RBA) of 18 PBDEs congeners, to determine the factors required for the RBA of these PBDEs. After performing leave-one-out cross-validation, satisfactory results were obtained with cross-validation Q 2 and R 2 values of 0.580 and 0.995 by the CoMFA model and 0.680 and 0.982 by the CoMSIA model, respectively. The results showed clearly that the nonplanar conformations of PBDEs result in the lowest energy level and that the electrostatic index was the main factor reflecting the RBA of PBDEs. The two QSAR models were then used to predict the RBA value of 46 PBDEs for which experimental values are unavailable at present.</description><identifier>ISSN: 0013-936X</identifier><identifier>EISSN: 1520-5851</identifier><identifier>DOI: 10.1021/es050017n</identifier><identifier>PMID: 16053097</identifier><identifier>CODEN: ESTHAG</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>Biological and medical sciences ; Environmental Pollutants - toxicity ; Environmental pollutants toxicology ; Ethers - chemistry ; Ethers - toxicity ; General aspects ; Medical sciences ; Models, Theoretical ; Pollutants ; Polybrominated Biphenyls - toxicity ; Polybrominated diphenyl ethers ; Predictions ; Quantitative Structure-Activity Relationship ; Static Electricity ; Toxicity ; Toxicology</subject><ispartof>Environmental science & technology, 2005-07, Vol.39 (13), p.4961-4966</ispartof><rights>Copyright © 2005 American Chemical Society</rights><rights>2005 INIST-CNRS</rights><rights>Copyright American Chemical Society Jul 1, 2005</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a443t-6fcf69434ef06e11a396b5837a95f8900e3c8b3c53fe34166a94be97997f55953</citedby><cites>FETCH-LOGICAL-a443t-6fcf69434ef06e11a396b5837a95f8900e3c8b3c53fe34166a94be97997f55953</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16956319$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16053097$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Yawei</creatorcontrib><creatorcontrib>Liu, Huanxiang</creatorcontrib><creatorcontrib>Zhao, Chunyan</creatorcontrib><creatorcontrib>Liu, Hanxia</creatorcontrib><creatorcontrib>Cai, Zongwei</creatorcontrib><creatorcontrib>Jiang, Guibin</creatorcontrib><title>Quantitative Structure−Activity Relationship Models for Prediction of the Toxicity of Polybrominated Diphenyl Ether Congeners</title><title>Environmental science & technology</title><addtitle>Environ. Sci. Technol</addtitle><description>Levels of polybrominated diphenyl ethers (PBDEs) are increasing in the environment and may cause long-term health problems in humans. The similarity in the chemical structures of PBDEs and other halogenated aromatic pollutants hints on the possibility that they might share similar toxicological effects. In this work, three-dimensional quantitative structure activity relationships (3-D-QSAR) models, using comparative molecular field analysis (CoMFA) and comparative similarity indices analysis (CoMSIA), were built based on calculated structural indices and a reported experimental toxicology index (aryl hydrocarbon receptor relative binding affinities, RBA) of 18 PBDEs congeners, to determine the factors required for the RBA of these PBDEs. After performing leave-one-out cross-validation, satisfactory results were obtained with cross-validation Q 2 and R 2 values of 0.580 and 0.995 by the CoMFA model and 0.680 and 0.982 by the CoMSIA model, respectively. The results showed clearly that the nonplanar conformations of PBDEs result in the lowest energy level and that the electrostatic index was the main factor reflecting the RBA of PBDEs. The two QSAR models were then used to predict the RBA value of 46 PBDEs for which experimental values are unavailable at present.</description><subject>Biological and medical sciences</subject><subject>Environmental Pollutants - toxicity</subject><subject>Environmental pollutants toxicology</subject><subject>Ethers - chemistry</subject><subject>Ethers - toxicity</subject><subject>General aspects</subject><subject>Medical sciences</subject><subject>Models, Theoretical</subject><subject>Pollutants</subject><subject>Polybrominated Biphenyls - toxicity</subject><subject>Polybrominated diphenyl ethers</subject><subject>Predictions</subject><subject>Quantitative Structure-Activity Relationship</subject><subject>Static Electricity</subject><subject>Toxicity</subject><subject>Toxicology</subject><issn>0013-936X</issn><issn>1520-5851</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNplkMFuEzEURS0EoqGw4AeQhcSiiyl2PPaMl1XaUtQgAg0SYmN5nGfiMrGD7UHNii1rPpEvwVGiBomV5XuP73u-CD2n5JSSMX0NiXBCaOMfoBHlY1LxltOHaFQ0VkkmPh-hJyndEkLGjLSP0REVhDMimxH6-WHQPruss_sB-CbHweQhwp9fv89MkVze4I_QFzf4tHRr_C4soE_YhohnERbObB0cLM5LwPNw58z2SbnPQr_pYlg5rzMs8LlbL8FvenxRwIgnwX8FDzE9RY-s7hM825_H6NPlxXxyVU3fv3k7OZtWuq5ZroQ1Vsia1WCJAEo1k6LjLWu05LaVhAAzbccMZxZYTYXQsu5ANlI2lnPJ2TF6uctdx_B9gJTVbRiiLyNV6YSymtG2QCc7yMSQUgSr1tGtdNwoStS2aXXfdGFf7AOHbgWLA7mvtgCv9oBORvc2am9c-oeTXDAqC1ftOJcy3N37On5TomENV_PZjWrPZ9O2-XKlrg-52qTDJ_5f8C82XqOH</recordid><startdate>20050701</startdate><enddate>20050701</enddate><creator>Wang, Yawei</creator><creator>Liu, Huanxiang</creator><creator>Zhao, Chunyan</creator><creator>Liu, Hanxia</creator><creator>Cai, Zongwei</creator><creator>Jiang, Guibin</creator><general>American Chemical Society</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope></search><sort><creationdate>20050701</creationdate><title>Quantitative Structure−Activity Relationship Models for Prediction of the Toxicity of Polybrominated Diphenyl Ether Congeners</title><author>Wang, Yawei ; Liu, Huanxiang ; Zhao, Chunyan ; Liu, Hanxia ; Cai, Zongwei ; Jiang, Guibin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a443t-6fcf69434ef06e11a396b5837a95f8900e3c8b3c53fe34166a94be97997f55953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Biological and medical sciences</topic><topic>Environmental Pollutants - toxicity</topic><topic>Environmental pollutants toxicology</topic><topic>Ethers - chemistry</topic><topic>Ethers - toxicity</topic><topic>General aspects</topic><topic>Medical sciences</topic><topic>Models, Theoretical</topic><topic>Pollutants</topic><topic>Polybrominated Biphenyls - toxicity</topic><topic>Polybrominated diphenyl ethers</topic><topic>Predictions</topic><topic>Quantitative Structure-Activity Relationship</topic><topic>Static Electricity</topic><topic>Toxicity</topic><topic>Toxicology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Yawei</creatorcontrib><creatorcontrib>Liu, Huanxiang</creatorcontrib><creatorcontrib>Zhao, Chunyan</creatorcontrib><creatorcontrib>Liu, Hanxia</creatorcontrib><creatorcontrib>Cai, Zongwei</creatorcontrib><creatorcontrib>Jiang, Guibin</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Environmental science & technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Yawei</au><au>Liu, Huanxiang</au><au>Zhao, Chunyan</au><au>Liu, Hanxia</au><au>Cai, Zongwei</au><au>Jiang, Guibin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative Structure−Activity Relationship Models for Prediction of the Toxicity of Polybrominated Diphenyl Ether Congeners</atitle><jtitle>Environmental science & technology</jtitle><addtitle>Environ. 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After performing leave-one-out cross-validation, satisfactory results were obtained with cross-validation Q 2 and R 2 values of 0.580 and 0.995 by the CoMFA model and 0.680 and 0.982 by the CoMSIA model, respectively. The results showed clearly that the nonplanar conformations of PBDEs result in the lowest energy level and that the electrostatic index was the main factor reflecting the RBA of PBDEs. The two QSAR models were then used to predict the RBA value of 46 PBDEs for which experimental values are unavailable at present.</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><pmid>16053097</pmid><doi>10.1021/es050017n</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Biological and medical sciences Environmental Pollutants - toxicity Environmental pollutants toxicology Ethers - chemistry Ethers - toxicity General aspects Medical sciences Models, Theoretical Pollutants Polybrominated Biphenyls - toxicity Polybrominated diphenyl ethers Predictions Quantitative Structure-Activity Relationship Static Electricity Toxicity Toxicology |
title | Quantitative Structure−Activity Relationship Models for Prediction of the Toxicity of Polybrominated Diphenyl Ether Congeners |
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