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SAR and QSAR in Environmental Research Volume 28, 2017 - Issue 6
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Articles

Prediction of pesticide acute toxicity using two-dimensional chemical descriptors and target species classification

T. M. MartinUS Environmental Protection Agency, Office of Research and Development, Sustainable Technology Division, Cincinnati, USACorrespondence[email protected]
,
C. R. LilavoisUS Environmental Protection Agency, Office of Research and Development Gulf Ecology Division, Gulf Breeze, USA
&
M. G. BarronUS Environmental Protection Agency, Office of Research and Development Gulf Ecology Division, Gulf Breeze, USA
Pages 525-539 | Received 25 Mar 2017, Accepted 14 Jun 2017, Published online: 13 Jul 2017

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Linrong Xiao, Jiyong Deng, Liping Yang, Xianwei Huang & Xinliang Yu. (2022) Random forest algorithm-based accurate prediction of rat acute oral toxicity. Molecular Physics 120:24.
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Thomas R. Lane, Joshua Harris, Fabio Urbina & Sean Ekins. (2023) Comparing LD 50 /LC 50 Machine Learning Models for Multiple Species . ACS Chemical Health & Safety 30:2, pages 83-97.
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Omid Mehrpour, Samaneh Nakhaee, Farhad Saeedi, Bahare Valizade, Erfan Lotfi & Malik Hamza Nawaz. (2023) Utility of artificial intelligence to identify antihyperglycemic agents poisoning in the USA: introducing a practical web application using National Poison Data System (NPDS). Environmental Science and Pollution Research 30:20, pages 57801-57810.
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Xiaotong Wu, Qixing Zhou, Li Mu & Xiangang Hu. (2022) Machine learning in the identification, prediction and exploration of environmental toxicology: Challenges and perspectives. Journal of Hazardous Materials 438, pages 129487.
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Guilherme Martins Silva, Leonardo Bruno Federico, Vinicius Medeiros Alves & Carlos Henrique Tomich de Paula da Silva. 2021. Functional Properties of Advanced Engineering Materials and Biomolecules. Functional Properties of Advanced Engineering Materials and Biomolecules 649 676 .
Edwin Prem Kumar Gilbert & Lydia Edwin. 2021. Reviews of Environmental Contamination and Toxicology Volume 257. Reviews of Environmental Contamination and Toxicology Volume 257 37 68 .
Fedor V. Ryzhkov, Yuliya E. Ryzhkova, Michail N. Elinson, Anatoly N. Vereshchagin, Victor A. Korolev & Mikhail P. Egorov. (2021) Quadruple Bond Forming Multicomponent Approach to 5-(3-chromenyl)-5H-chromeno[2,3-b]pyridines and Its Interaction with the Neuropeptide Y1 Receptor. Chemistry of Heterocyclic Compounds 56:12, pages 1560-1568.
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Zeren Jiao, Pingfan Hu, Hongfei Xu & Qingsheng Wang. (2020) Machine Learning and Deep Learning in Chemical Health and Safety: A Systematic Review of Techniques and Applications. ACS Chemical Health & Safety 27:6, pages 316-334.
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Mark D. Nelms, Agnes L. Karmaus & Grace Patlewicz. (2020) An evaluation of the performance of selected (Q)SARs/expert systems for predicting acute oral toxicity. Computational Toxicology 16, pages 100135.
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Eni Minerali, Daniel H. Foil, Kimberley M. Zorn & Sean Ekins. (2020) Evaluation of Assay Central Machine Learning Models for Rat Acute Oral Toxicity Prediction. ACS Sustainable Chemistry & Engineering 8:42, pages 16020-16027.
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Shengnan Zhang, Ning Wang, Limin Su, Xiaoyan Xu, Chao Li, Weichao Qin & Yuanhui Zhao. (2020) MOA-based linear and nonlinear QSAR models for predicting the toxicity of organic chemicals to Vibrio fischeri. Environmental Science and Pollution Research 27:9, pages 9114-9125.
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Juan José Villaverde, Beatriz Sevilla-Morán, Carmen López-Goti, José Luis Alonso-Prados & Pilar Sandín-España. 2020. Environmental Concerns and Sustainable Development. Environmental Concerns and Sustainable Development 1 27 .
Partha Pratim Roy, Purusottam Banjare, Sandhya Verma & Jagadish Singh. (2019) Acute Rat and Mouse Oral Toxicity Determination of Anticholinesterase Inhibitor Carbamate Pesticides: A QSTR Approach. Molecular Informatics 38:8-9, pages 1800151.
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Domenico Alberga, Daniela Trisciuzzi, Kamel Mansouri, Giuseppe Felice Mangiatordi & Orazio Nicolotti. (2019) Prediction of Acute Oral Systemic Toxicity Using a Multifingerprint Similarity Approach. Toxicological Sciences 167:2, pages 484-495.
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Hans-Peter Hutter, Michael Kundi, Kathrin Lemmerer, Michael Poteser, Lisbeth Weitensfelder, Peter Wallner & Hanns Moshammer. (2018) Subjective Symptoms of Male Workers Linked to Occupational Pesticide Exposure on Coffee Plantations in the Jarabacoa Region, Dominican Republic. International Journal of Environmental Research and Public Health 15:10, pages 2099.
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Juan José Villaverde, Beatriz Sevilla-Morán, Carmen López-Goti, José Luis Alonso-Prados & Pilar Sandín-España. (2018) Considerations of nano-QSAR/QSPR models for nanopesticide risk assessment within the European legislative framework. Science of The Total Environment 634, pages 1530-1539.
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Yunyi Wu & Guanyu Wang. (2018) Machine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome Analysis. International Journal of Molecular Sciences 19:8, pages 2358.
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