ORIGINAL RESEARCH
A novel 3D-QSA2R Model Assisted with
a Log-Normalized Method and Its Application
in Molecular Modification
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The Moe Key Laboratory of Resources and Environmental Systems Optimization,
North China Electric Power University, Beijing, China
Submission date: 2019-11-10
Final revision date: 2020-01-28
Acceptance date: 2020-01-30
Online publication date: 2020-04-29
Publication date: 2020-06-08
Corresponding author
Yu Li
North China Electric Power University, 2 Beinong Road, Huilongguan Town, Changping Distri, 102206, Beijing, China
Pol. J. Environ. Stud. 2020;29(5):3675-3682
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ABSTRACT
The long-range migration ability of persistent organic pollutants was characterized by both KOA and
PL. It is difficult for a traditional model of 3D-QSAR to capture the relationship between the double
activities of pollutants and their structures. To this end, a log-normalized method was employed to treat
a given data set (KOA and PL values) to obtain a comprehensive activity (Z) that represents the longrange
migration ability of polyhalogenated biphenyls. Then, the relationship between the comprehensive
activity of polyhalogenated biphenyls and their structures could be constructed; the proposed model was
named the three-dimensional quantitative structure-double-activities relationship (3D-QSA2R) model.
Two new PCB-52 molecules with a reduced ability for long-range migration were designed after analyses
of the contour maps, with Z values increasing significantly by 30.44-41.30%, and the environmental
persistence, bioconcentration and biotoxicity decreased by 3.37-8.99%, 26.86-26.73% and -1.17-3.50%,
respectively, compared with those of PCB-52. logKOA and logPL values of the novel modified PCB-52
were predicted as 3.20-4.57% and 74.57-79.19%, respectively, by the EPI database software, and these
values showed a consistent increasing trend with the Z values predicted by 3D-QSA2R, indicating that
the established 3D-QSA2R could be used to deal with the relationship between the multi-activities of
organic pollutants and their structures.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.