The bi-directional selective low toxicity/high flame retardancy organophosphorus fire retardants (OPFRs) derivatives were designed by a comprehensive effect 3D quantitative structure-activity relationship (QSAR) pharmacophore model, and the toxicity and flame retardancy mechanism of OPFR derivatives were explored. The 3D-QSAR comprehensive pharmacophore model was constructed using the toxicity/flame retardancy comprehensive evaluation values of OPFRs for molecular modifications, which were obtained by the Mamdani fuzzy inference approach. The environment-friendly OPFR derivatives (CDPP-F, CDPP-NO2, TPHP-F, TDCIPP-CH2CH3, and TDCIPP-Br) with high flame retardancy showed significantly reduced multi-toxicity effects (biotoxicity, reproductive toxicity, and neurotoxicity) in the comprehensive model. The spatial overlapping volumes of the toxicity/flame retardancy comprehensive effect model with the toxic effect and with flame retardant effect were 1 : 1. The trend (1 : 1) was similar to the degree of improvement of toxicity and flame retardancy of the OPFR derivatives. The toxicity and flame retardancy were decreased by more than 50%. This indicated that the spatial overlapping volumes in the comprehensive model with the toxic and flame retardant mono-models have significant effects. Based on the 2D-QSAR model, molecular docking, and density functional theory, it was found that, in molecular modification, the introduction of electronegative groups to improve the electronic parameters (q+) can reduce the toxicity of OPFRs. An increase in the bond length and bond angle of the molecular side chain increased the steric parameter (MR) that improved the molecular flame retardancy of OPFRs.
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December 2020
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The cover image shows a word cloud based on the findings of the review article by Fulcher and Sapkota (pp. 4397–4423) in this issue, depicting the many biological functions and modes of regulation of the CK1 family of Ser/Thr protein kinases. Image created by Luke Fulcher.
Research Article|
December 11 2020
Modified organophosphorus fire retardant with low toxicity/high flame retardancy using the pharmacophore model associated with Mamdani fuzzy inference approach
Jiawen Yang;
Jiawen Yang
Conceptualization, Resources, Data curation, Software, Formal analysis, Validation, Investigation, Visualization, Methodology, Writing - original draft, Writing - review & editing
1The Moe Key Laboratory of Resources and Environmental Systems Optimization, North China Electric Power University, Beijing 102206, China
2College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
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Yilin Hou;
Yilin Hou
Data curation, Writing - review & editing
1The Moe Key Laboratory of Resources and Environmental Systems Optimization, North China Electric Power University, Beijing 102206, China
2College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
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Qing Li;
Qing Li
Data curation
1The Moe Key Laboratory of Resources and Environmental Systems Optimization, North China Electric Power University, Beijing 102206, China
2College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
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Yu Li
1The Moe Key Laboratory of Resources and Environmental Systems Optimization, North China Electric Power University, Beijing 102206, China
2College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
Correspondence: Yu Li ([email protected])
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Publisher: Portland Press Ltd
Received:
October 03 2020
Revision Received:
November 09 2020
Accepted:
November 20 2020
Accepted Manuscript online:
November 20 2020
Online ISSN: 1470-8728
Print ISSN: 0264-6021
© 2020 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society
2020
Biochem J (2020) 477 (23): 4655–4674.
Article history
Received:
October 03 2020
Revision Received:
November 09 2020
Accepted:
November 20 2020
Accepted Manuscript online:
November 20 2020
Citation
Jiawen Yang, Yilin Hou, Qing Li, Yu Li; Modified organophosphorus fire retardant with low toxicity/high flame retardancy using the pharmacophore model associated with Mamdani fuzzy inference approach. Biochem J 11 December 2020; 477 (23): 4655–4674. doi: https://doi.org/10.1042/BCJ20200779
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