Application of Artificial Intelligence in Drug–Drug Interactions Prediction: A Review
Author:
Affiliation:
1. School of Information and Control Engineering, Qingdao University of Technology, Qingdao,266000,China
2. School of Information Science and Engineering, Qufu Normal University, Rizhao, 276800, China
Funder
National Natural Science Foundation of China
Publisher
American Chemical Society (ACS)
Subject
Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c00582
Reference124 articles.
1. Systematic Prediction of Pharmacodynamic Drug-Drug Interactions through Protein-Protein-Interaction Network
2. Modeling polypharmacy side effects with graph convolutional networks
3. A Review of Approaches for Predicting Drug–Drug Interactions Based on Machine Learning
4. Changes in Prescription and Over-the-Counter Medication and Dietary Supplement Use Among Older Adults in the United States, 2005 vs 2011
Cited by 16 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. A comprehensive review of artificial intelligence for pharmacology research;Frontiers in Genetics;2024-09-03
2. Enzyme-mediated drug-drug interactions: a review of in vivo and in vitro methodologies, regulatory guidance, and translation to the clinic;Drug Metabolism Reviews;2024-07-26
3. A substructure‐aware graph neural network incorporating relation features for drug–drug interaction prediction;Quantitative Biology;2024-07-06
4. Biosynthesis of biomolecules from saffron as an industrial crop and their regulation, with emphasis on the chemistry, extraction methods, identification techniques, and potential applications in human health and food: A critical comprehensive review;Biocatalysis and Agricultural Biotechnology;2024-07
5. Stereoisomers Are Not Machine Learning’s Best Friends;Journal of Chemical Information and Modeling;2024-07-01
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