New public QSAR model for carcinogenicity
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Chemistry
Link
http://link.springer.com/content/pdf/10.1186/1752-153X-4-S1-S3.pdf
Reference72 articles.
1. Price N: Hail Caesar. Chemistry & Industry. 2008, 15: 18-19.
2. Benigni R, Giuliani A: Putting the Predictive Toxicology Challenge into perspective: reflections on the results. Bioinformatics. 2003, 19: 1194-1200. 10.1093/bioinformatics/btg099.
3. Richard AM, Benigni R: AI and SAR approaches for predicting chemical carcinogenicity: survey and status report. SAR QSAR Environ Res. 2002, 13: 1-19. 10.1080/10629360290002055.
4. Patlewicz G, Rodford R, Walker JD: Quantitative structure-activity relationships for predicting mutagenicity and carcinogenicity. Environ Toxicol Chem. 2003, 22: 1885-1893. 10.1897/01-461.
5. Helguera AM, Perez MCA, Combes RD, González MP: The prediction of carcinogenicity from molecular structure. Curr Comput-Aided Drug Des. 2005, 1: 237-255. 10.2174/1573409054367655.
Cited by 115 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. Unlocking the potential of AI: Machine learning and deep learning models for predicting carcinogenicity of chemicals;Journal of Environmental Science and Health, Part C;2024-09-03
2. Multi-Target In-Silico modeling strategies to discover novel angiotensin converting enzyme and neprilysin dual inhibitors;Scientific Reports;2024-07-10
3. Recent progress in machine learning approaches for predicting carcinogenicity in drug development;Expert Opinion on Drug Metabolism & Toxicology;2024-05-27
4. Chronic aquatic toxicity assessment of diverse chemicals on Daphnia magna using QSAR and chemical read-across;Regulatory Toxicology and Pharmacology;2024-03
5. Quantitative Structure Activity/Toxicity Relationship through Neural Networks for Drug Discovery or Regulatory Use;Current Topics in Medicinal Chemistry;2023-11
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