Development of a QSAR model to predict hepatic steatosis using freely available machine learning tools
Author:
Publisher
Elsevier BV
Subject
Toxicology,General Medicine,Food Science
Reference30 articles.
1. Consensus modeling for HTS assays using In silico descriptors calculates the best balanced accuracy in Tox21 challenge;Abdelaziz;Front. Environ. Sci.,2016
2. Identification of environmental chemicals associated with the development of toxicant-associated fatty liver disease in rodents;Al-Eryani;Toxicol. Pathol.,2015
3. Tipping the balance: hepatotoxicity and the 4 apical key events of hepatic steatosis;Angrish;Toxicol. Sci.,2016
4. A simple transcriptomic signature able to predict drug-induced hepatic steatosis;Benet;Arch. Toxicol.,2014
5. Describing the validity of carcinogen screening tests;Cooper;Br. J. Canc.,1979
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. Drug-induced impairment of mitochondrial fatty acid oxidation and steatosis: assessment of causal relationship with 45 pharmaceuticals;Toxicological Sciences;2024-04-27
2. Systematic approaches to machine learning models for predicting pesticide toxicity;Heliyon;2024-04
3. Advancing chronic toxicity risk assessment in freshwater ecology by molecular characterization-based machine learning;Environmental Pollution;2024-02
4. In silico modeling-based new alternative methods to predict drug and herb-induced liver injury: A review;Food and Chemical Toxicology;2023-09
5. Ensemble Machine learning model identified citrusinol as functional food candidate for improving myotube differentiation and controlling CT26-Induced myotube atrophy;Journal of Functional Foods;2023-05
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