Predictive modeling studies for the ecotoxicity of ionic liquids towards the green algae Scenedesmus vacuolatus
Author:
Publisher
Elsevier BV
Subject
General Medicine,General Chemistry,Environmental Chemistry,Environmental Engineering,Pollution,Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health
Reference47 articles.
1. Design through the 12 principles green engineering;Anastas;Environ. Sci. Technol.,2003
2. Solution thermodynamics of imidazolium-based ionic liquids and water;Anthony;J. Phys. Chem. B,2001
3. Plots, Transformations and Regression;Atkinson,1985
4. Mode of action and the assessment of chemical hazards in the presence of limited data: use of structure-activity relationships (SAR) under TSCA, Section 5;Auer;Environ. Health Perspect.,1990
5. Oversampling to overcome overfitting: exploring the relationship between data set composition, molecular descriptors, and predictive modeling methods;Chang;J. Chem. Inf. Model.,2013
Cited by 58 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. The application of chemical similarity measures in an unconventional modeling framework c-RASAR along with dimensionality reduction techniques to a representative hepatotoxicity dataset;Scientific Reports;2024-09-06
2. ARKA: a framework of dimensionality reduction for machine-learning classification modeling, risk assessment, and data gap-filling of sparse environmental toxicity data;Environmental Science: Processes & Impacts;2024
3. Current Trends in QSAR and Machine Learning Models of Ionic Liquids: Efficient Tools for Designing Environmentally Safe Solvents for the Future;Handbook of Ionic Liquids;2023-12-29
4. Development of a read-across-derived classification model for the predictions of mutagenicity data and its comparison with traditional QSAR models and expert systems;Toxicology;2023-12
5. Prediction-Inspired Intelligent Training for the Development of Classification Read-across Structure–Activity Relationship (c-RASAR) Models for Organic Skin Sensitizers: Assessment of Classification Error Rate from Novel Similarity Coefficients;Chemical Research in Toxicology;2023-08-16
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