Triazine Herbicides Risk Management Strategies on Environmental and Human Health Aspects Using In-Silico Methods

被引:7
作者
Yao, Tianfu [1 ]
Sun, Peixuan [1 ]
Zhao, Wenjin [1 ]
机构
[1] Jilin Univ, Coll New Energy & Environm, Changchun 130012, Peoples R China
关键词
triazine herbicides; cleaner production; 3D-QSAR; molecular docking; molecular dynamics; microbial degradation pathways; field application program; MOLECULAR DOCKING; PHOTOSYSTEM-II; ATRAZINE; STRAIN; INOCULATION; DEGRADATION; PROMETRYNE; PROTEIN; 3D-QSAR; ENZYME;
D O I
10.3390/ijms24065691
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
As an effective herbicide, 1, 3, 5-Triazine herbicides (S-THs) are used widely in the pesticide market. However, due to their chemical properties, S-THs severely threaten the environment and human health (e.g., human lung cytotoxicity). In this study, molecular docking, Analytic Hierarchy Process-Technique for Order Preference by Similarity to the Ideal Solution (AHP-TOPSIS), and a three-dimensional quantitative structure-active relationship (3D-QSAR) model were used to design S-TH substitutes with high herbicidal functionality, high microbial degradability, and low human lung cytotoxicity. We discovered a substitute, Derivative-5, with excellent overall performance. Furthermore, Taguchi orthogonal experiments, full factorial design of experiments, and the molecular dynamics method were used to identify three chemicals (namely, the coexistence of aspartic acid, alanine, and glycine) that could promote the degradation of S-THs in maize cropping fields. Finally, density functional theory (DFT), Estimation Programs Interface (EPI), pharmacokinetic, and toxicokinetic methods were used to further verify the high microbial degradability, favorable aquatic environment, and human health friendliness of Derivative 5. This study provided a new direction for further optimizations of novel pesticide chemicals.
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页数:17
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