Screening structure and predicting toxicity of pesticide adjuvants using molecular dynamics simulation and machine learning for minimizing environmental impacts-Reference-Cited by-同舟云学术

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Screening structure and predicting toxicity of pesticide adjuvants using molecular dynamics simulation and machine learning for minimizing environmental impacts

Published:2024-09 Issue: Volume:942 Page:173697
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Bao Zhenping,Liu Rui,Wu Yanling,Zhang Songhao,Zhang Xuejun,Zhou Bo,Luckham Paul,Gao Yuxia,Zhang Chenhui,Du Fengpei

Publisher

Elsevier BV

Reference56 articles.

1. Prospects for harnessing biocide resistance for bioremediation and detoxification;Atashgahi;Science,2018

2. The simple strategy to improve pesticide bioavailability and minimize environmental risk by effective and ecofriendly surfactants;Bao;Sci. Total Environ.,2022

3. Molecular selection and environmental evaluation of eco-friendly surfactants to efficiently reduce pesticide pollution;Bao;J. Clean. Prod.,2023

4. Advances in surfactants for agrochemicals;Castro;Environ. Chem. Lett.,2014

5. Implications of surfactant hydrophobic chain architecture on the surfactant-skin lipid model interaction;Chen;J. Colloid Interface Sci.,2022

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