Hepatotoxicity evaluation of traditional Chinese medicines using a computational molecular model-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Hepatotoxicity evaluation of traditional Chinese medicines using a computational molecular model

Published:2017-06-08 Issue:9 Volume:55 Page:996-1000
ISSN:1556-3650
Container-title:Clinical Toxicology
language:en
Short-container-title:Clinical Toxicology

Author:

Zhao Pan¹²,Liu Bin³,Wang Chunya⁴,

Affiliation:

1. Clinical Trial Center, Beijing 302 Hospital, Beijing, China;

2. Liver Failure Therapy and Research Center, Beijing 302 Hospital, Beijing, China;

3. Computer Technology Center, Beijing 302 Hospital, Beijing, China;

4. Emergency & Critical Care Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Toxicology,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/15563650.2017.1333123

Reference49 articles.

1. Acute Liver Failure Associated With Traditional Chinese Medicine

2. Safety Surveillance of Traditional Chinese Medicine: Current and Future

3. Hepatotoxicity of herbal and dietary supplements: an update

4. Traditional Chinese medicine causing hepatotoxicity in patients with chronic hepatitis B infection: a 1-year prospective study

5. A Case of Hepatotoxicity Induced by Adulterated “Tiger King”, a Chinese Herbal Medicine Containing Sildenafil

Cited by 18 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. Computational approaches to predict the toxicity of bioactive natural products: a mini review of methodologies;Food Science and Biotechnology;2024-09-09

2. Therapeutic potential of the genus Zanthoxylum phytochemicals: A theoretical ADME/Tox analysis;South African Journal of Botany;2023-11

3. In silico toxicity studies of traditional Chinese herbal medicine: A mini review;Current Opinion in Structural Biology;2023-06

4. Mold2 Descriptors Facilitate Development of Machine Learning and Deep Learning Models for Predicting Toxicity of Chemicals;Machine Learning and Deep Learning in Computational Toxicology;2023

5. Predicting drug-induced liver injury with artificial intelligence—a minireview;Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases;2023

同舟云学术

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