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Biological enrichment prediction of polychlorinated biphenyls and novel molecular design based on 3D-QSAR/HQSAR associated with molecule docking

Based on the experimental data of octanol-water partition coefficients (K(ow), represents bioaccumulation) for 13 polychlorinated biphenyl (PCB) congeners, comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were used to establish 3D-QSAR model...

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Autores principales: Yang, Jiawen, Gu, Wenwen, Li, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6522710/
https://www.ncbi.nlm.nih.gov/pubmed/31101726
http://dx.doi.org/10.1042/BSR20180409
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author Yang, Jiawen
Gu, Wenwen
Li, Yu
author_facet Yang, Jiawen
Gu, Wenwen
Li, Yu
author_sort Yang, Jiawen
collection PubMed
description Based on the experimental data of octanol-water partition coefficients (K(ow), represents bioaccumulation) for 13 polychlorinated biphenyl (PCB) congeners, comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were used to establish 3D-QSAR models, combined with the hologram quantitative structure–activity relationship (HQSAR), the substitution sites (mono-substituted and bis-substituted) and substituent groups (electron-withdrawing hydrophobic groups) that significantly affect the octanol-water partition coefficients values of PCBs were identified, a total of 63 monosubstituted and bis-substituted were identified. Compared with using 3D-QSAR model alone, the coupling of 3D-QSAR and HQSAR models greatly increased the number of newly designed bis-substituted molecules, and the logK(ow) reduction in newly designed bis-substituted molecules was larger than that of monosubstituted molecules. This was established to predict the K(ow) values of 196 additional PCBs and carry out a modification of target molecular PCB-207 to lower its K(ow) (biological enrichment) significantly, simultaneously maintaining the flame retardancy and insulativity after calculation by using Gaussian09. Simultaneously, molecular docking could further screen out three more environmental friendly low biological enrichment newly designed PCB-207 molecules (5-methyl-PCB-207, 5-amino-PCB-207, and 4-amino-5-ethyl-PCB-207).
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spelling pubmed-65227102019-05-28 Biological enrichment prediction of polychlorinated biphenyls and novel molecular design based on 3D-QSAR/HQSAR associated with molecule docking Yang, Jiawen Gu, Wenwen Li, Yu Biosci Rep Research Articles Based on the experimental data of octanol-water partition coefficients (K(ow), represents bioaccumulation) for 13 polychlorinated biphenyl (PCB) congeners, comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were used to establish 3D-QSAR models, combined with the hologram quantitative structure–activity relationship (HQSAR), the substitution sites (mono-substituted and bis-substituted) and substituent groups (electron-withdrawing hydrophobic groups) that significantly affect the octanol-water partition coefficients values of PCBs were identified, a total of 63 monosubstituted and bis-substituted were identified. Compared with using 3D-QSAR model alone, the coupling of 3D-QSAR and HQSAR models greatly increased the number of newly designed bis-substituted molecules, and the logK(ow) reduction in newly designed bis-substituted molecules was larger than that of monosubstituted molecules. This was established to predict the K(ow) values of 196 additional PCBs and carry out a modification of target molecular PCB-207 to lower its K(ow) (biological enrichment) significantly, simultaneously maintaining the flame retardancy and insulativity after calculation by using Gaussian09. Simultaneously, molecular docking could further screen out three more environmental friendly low biological enrichment newly designed PCB-207 molecules (5-methyl-PCB-207, 5-amino-PCB-207, and 4-amino-5-ethyl-PCB-207). Portland Press Ltd. 2019-05-17 /pmc/articles/PMC6522710/ /pubmed/31101726 http://dx.doi.org/10.1042/BSR20180409 Text en © 2019 The Author(s). http://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Articles
Yang, Jiawen
Gu, Wenwen
Li, Yu
Biological enrichment prediction of polychlorinated biphenyls and novel molecular design based on 3D-QSAR/HQSAR associated with molecule docking
title Biological enrichment prediction of polychlorinated biphenyls and novel molecular design based on 3D-QSAR/HQSAR associated with molecule docking
title_full Biological enrichment prediction of polychlorinated biphenyls and novel molecular design based on 3D-QSAR/HQSAR associated with molecule docking
title_fullStr Biological enrichment prediction of polychlorinated biphenyls and novel molecular design based on 3D-QSAR/HQSAR associated with molecule docking
title_full_unstemmed Biological enrichment prediction of polychlorinated biphenyls and novel molecular design based on 3D-QSAR/HQSAR associated with molecule docking
title_short Biological enrichment prediction of polychlorinated biphenyls and novel molecular design based on 3D-QSAR/HQSAR associated with molecule docking
title_sort biological enrichment prediction of polychlorinated biphenyls and novel molecular design based on 3d-qsar/hqsar associated with molecule docking
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6522710/
https://www.ncbi.nlm.nih.gov/pubmed/31101726
http://dx.doi.org/10.1042/BSR20180409
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