Quantifying Analogue Suitability for SAR-Based Read-Across Toxicological Assessment
Author:
Affiliation:
1. The Procter & Gamble Company, 8700 Mason-Montgomery Road, Mason, Ohio45040, United States
Funder
Procter and Gamble
Publisher
American Chemical Society (ACS)
Subject
Toxicology,General Medicine
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.chemrestox.2c00311
Reference35 articles.
1. A framework for using structural, reactivity, metabolic and physicochemical similarity to evaluate the suitability of analogs for SAR-based toxicological assessments
2. Structure activity relationship (SAR) toxicological assessments: The role of expert judgment
3. Case studies to test: A framework for using structural, reactivity, metabolic and physicochemical similarity to evaluate the suitability of analogs for SAR-based toxicological assessments
4. A matched molecular pair (MMP) approach for selecting analogs suitable for structure activity relationship (SAR)-based read across
5. Molecular fingerprint-derived similarity measures for toxicological read-across: Recommendations for optimal use
Cited by 13 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. Molecular similarity in chemical informatics and predictive toxicity modeling: from quantitative read-across (q-RA) to quantitative read-across structure–activity relationship (q-RASAR) with the application of machine learning;Critical Reviews in Toxicology;2024-09-03
2. Estimation of acceptable daily intake values based on modeling and in vivo mutagenicity of NDSRIs of fluoxetine, duloxetine and atomoxetine;Regulatory Toxicology and Pharmacology;2024-09
3. Unlocking the Potential of Clustering and Classification Approaches: Navigating Supervised and Unsupervised Chemical Similarity;Environmental Health Perspectives;2024-08
4. A systematic analysis of read-across within REACH registration dossiers;Computational Toxicology;2024-06
5. In silico predictions of sub-chronic effects: Read-across using metabolic relationships between parents and transformation products;Computational Toxicology;2024-06
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