Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI)
Author:
Affiliation:
1. Collaborations Pharmaceuticals Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States
Funder
National Institute of Environmental Health Sciences
National Institute of General Medical Sciences
Publisher
American Chemical Society (ACS)
Subject
Drug Discovery,Pharmaceutical Science,Molecular Medicine
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.molpharmaceut.0c00326
Reference63 articles.
1. Concordance of the Toxicity of Pharmaceuticals in Humans and in Animals
2. Drug-Induced Liver Injury: Biomarkers, Requirements, Candidates, and Validation
3. Managing the challenge of drug-induced liver injury: a roadmap for the development and deployment of preclinical predictive models
4. Mitigating the Inhibition of Human Bile Salt Export Pump by Drugs: Opportunities Provided by Physicochemical Property Modulation, In Silico Modeling, and Structural Modification
5. Predicting Drug-Induced Cholestasis with the Help of Hepatic Transporters—An in Silico Modeling Approach
Cited by 51 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. Utility of human cytochrome P450 inhibition data in the assessment of drug-induced liver injury;Xenobiotica;2024-02-05
2. Deep Learning Algorithm Based on Molecular Fingerprint for Prediction of Drug‐Induced Liver Injury;Toxicology;2024-02
3. Review of machine learning and deep learning models for toxicity prediction;Experimental Biology and Medicine;2023-12-06
4. Prediction of DILI in Humans: Investigating Opportunities in DILIst Data, Chemical Features, Machine Learning and Rule-Based Methods;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05
5. Review of human risk factors for idiosyncratic drug-induced liver injury: latest advances and future goals;Expert Opinion on Drug Metabolism & Toxicology;2023-11-28
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