Using Drug Expression Profiles and Machine Learning Approach for Drug Repurposing
Author:
Publisher
Springer New York
Link
http://link.springer.com/content/pdf/10.1007/978-1-4939-8955-3_13
Reference43 articles.
1. DiMasi JA, Grabowski HG, Hansen RW (2016) Innovation in the pharmaceutical industry: new estimates of R&D costs. J Health Econ 47:20–33. https://doi.org/10.1016/j.jhealeco.2016.01.012
2. Dudley JT, Deshpande T, Butte AJ (2011) Exploiting drug-disease relationships for computational drug repositioning. Brief Bioinform 12(4):303–311. https://doi.org/10.1093/bib/bbr013
3. Hodos RA, Kidd BA, Shameer K, Readhead BP, Dudley JT (2016) In silico methods for drug repurposing and pharmacology. Wiley Interdiscip Rev Syst Biol Med 8(3):186–210. https://doi.org/10.1002/wsbm.1337
4. Vanhaelen Q, Mamoshina P, Aliper AM, Artemov A, Lezhnina K, Ozerov I, Zhavoronkov A (2017) Design of efficient computational workflows for in silico drug repurposing. Drug Discov Today 22(2):210–222. https://doi.org/10.1016/j.drudis.2016.09.019
5. Aliper A, Plis S, Artemov A, Ulloa A, Mamoshina P, Zhavoronkov A (2016) Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data. Mol Pharm 13(7):2524–2530. https://doi.org/10.1021/acs.molpharmaceut.6b00248
Cited by 31 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. Databases of ligand-binding pockets and protein-ligand interactions;Computational and Structural Biotechnology Journal;2024-12
2. Navigating the Intersection of Technology and Depression Precision Medicine;Advances in Experimental Medicine and Biology;2024
3. Application of artificial intelligence and machine learning in drug repurposing;Progress in Molecular Biology and Translational Science;2024
4. Prediction of Drug Targets based on In Vitro Activity Profiles Toward Drug Repurposing for Rare Diseases;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05
5. Implementation of Machine Learning Models for Analyzing the Correlation and Classification of Complications in Pregnancy Using Amniotic Fluid;Technological Tools for Predicting Pregnancy Complications;2023-10-09
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