In silico prediction of pesticide aquatic toxicity with chemical category approaches
Author:
Affiliation:
1. Shanghai Key Laboratory of New Drug Design
2. School of Pharmacy
3. East China University of Science and Technology
4. Shanghai 200237
5. China
Abstract
Herein, six machine learning methods combined with nine fingerprints were used to predict aquatic toxicity of pesticides.
Funder
National Natural Science Foundation of China
Publisher
Oxford University Press (OUP)
Subject
Health, Toxicology and Mutagenesis,Toxicology
Link
http://pubs.rsc.org/en/content/articlepdf/2017/TX/C7TX00144D
Reference61 articles.
1. Quantitative Read-Across for Predicting the Acute Fish Toxicity of Organic Compounds
2. Practical Considerations on the Use of Predictive Models for Regulatory Purposes
3. Screening Method for Ecotoxicological Hazard Assessment of 42 Pharmaceuticals Considering Human Metabolism and Excretory Routes
4. Structural AlertsA New Classification Model to Discriminate Excess Toxicity from Narcotic Effect Levels of Organic Compounds in the Acute Daphnid Assay
Cited by 37 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Regression Quantitative Structure-toxicity Relationship of Pesticides on Fishes;Rocznik Ochrona Środowiska;2024-07-09
2. Hepatic toxicity prediction of bisphenol analogs by machine learning strategy;Science of The Total Environment;2024-07
3. The VERA software: Implementation of the acute fish toxicity endpoint and its application to pharmaceutical compounds;Chemosphere;2024-06
4. Multi-task aquatic toxicity prediction model based on multi-level features fusion;Journal of Advanced Research;2024-06
5. Systematic approaches to machine learning models for predicting pesticide toxicity;Heliyon;2024-04
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3