Integrating Biological Networks for Drug Target Prediction and Prioritization
Author:
Publisher
Springer New York
Link
http://link.springer.com/content/pdf/10.1007/978-1-4939-8955-3_12
Reference39 articles.
1. Koscielny G, An P, Carvalho-Silva D, Cham JA, Fumis L, Gasparyan R, Hasan S, Karamanis N, Maguire M, Papa E et al (2017) Open Targets: a platform for therapeutic target identification and validation. Nucleic Acids Res 45(D1):D985–D994. https://doi.org/10.1093/nar/gkw1055
2. Cook D, Brown D, Alexander R, March R, Morgan P, Satterthwaite G, Pangalos MN (2014) Lessons learned from the fate of AstraZeneca's drug pipeline: a five-dimensional framework. Nat Rev Drug Discov 13(6):419–431. https://doi.org/10.1038/nrd4309
3. Scannell JW, Blanckley A, Boldon H, Warrington B (2012) Diagnosing the decline in pharmaceutical R&D efficiency. Nat Rev Drug Discov 11(3):191–200. https://doi.org/10.1038/nrd3681
4. Rouillard AD, Gundersen GW, Fernandez NF, Wang Z, Monteiro CD, McDermott MG, Ma'ayan A (2016) The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins. Database (Oxford). https://doi.org/10.1093/database/baw100
5. Nguyen DT, Mathias S, Bologa C, Brunak S, Fernandez N, Gaulton A, Hersey A, Holmes J, Jensen LJ, Karlsson A et al (2017) Pharos: Collating protein information to shed light on the druggable genome. Nucleic Acids Res 45(D1):D995–D1002. https://doi.org/10.1093/nar/gkw1072
Cited by 14 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. Exploring the Molecular Terrain: A Survey of Analytical Methods for Biological Network Analysis;Symmetry;2024-04-10
2. A probabilistic knowledge graph for target identification;PLOS Computational Biology;2024-04-05
3. Computer-Aided Drug Discovery and Design: Recent Advances and Future Prospects;Methods in Molecular Biology;2023-09-08
4. Artificial Intelligence and Machine Learning for Lead-to-Candidate Decision-Making and Beyond;Annual Review of Pharmacology and Toxicology;2023-01-20
5. Network biology: A promising approach for drug target identification against neurodevelopmental disorders;BIOCELL;2023
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