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Triazine Herbicides Risk Management Strategies on Environmental and Human Health Aspects Using In-Silico Methods
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—Te...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052965/ https://www.ncbi.nlm.nih.gov/pubmed/36982765 http://dx.doi.org/10.3390/ijms24065691 |
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author | Yao, Tianfu Sun, Peixuan Zhao, Wenjin |
author_facet | Yao, Tianfu Sun, Peixuan Zhao, Wenjin |
author_sort | Yao, Tianfu |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10052965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100529652023-03-30 Triazine Herbicides Risk Management Strategies on Environmental and Human Health Aspects Using In-Silico Methods Yao, Tianfu Sun, Peixuan Zhao, Wenjin Int J Mol Sci Article 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. MDPI 2023-03-16 /pmc/articles/PMC10052965/ /pubmed/36982765 http://dx.doi.org/10.3390/ijms24065691 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yao, Tianfu Sun, Peixuan Zhao, Wenjin Triazine Herbicides Risk Management Strategies on Environmental and Human Health Aspects Using In-Silico Methods |
title | Triazine Herbicides Risk Management Strategies on Environmental and Human Health Aspects Using In-Silico Methods |
title_full | Triazine Herbicides Risk Management Strategies on Environmental and Human Health Aspects Using In-Silico Methods |
title_fullStr | Triazine Herbicides Risk Management Strategies on Environmental and Human Health Aspects Using In-Silico Methods |
title_full_unstemmed | Triazine Herbicides Risk Management Strategies on Environmental and Human Health Aspects Using In-Silico Methods |
title_short | Triazine Herbicides Risk Management Strategies on Environmental and Human Health Aspects Using In-Silico Methods |
title_sort | triazine herbicides risk management strategies on environmental and human health aspects using in-silico methods |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052965/ https://www.ncbi.nlm.nih.gov/pubmed/36982765 http://dx.doi.org/10.3390/ijms24065691 |
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