TreeQNet: a webserver for Treatment evaluation with Quantified Network

doi:10.1186/s12859-022-05024-y

	TreeQNet: a webserver for Treatment evaluation with Quantified Network
	Li, Zhenlei 1,7; Huang, Ya2,3,6 ; Li, Qingrun 2; Sun, Yidi 2,4; Li, Chen 2,5; Wu, Jiarui2,3 ; Zheng, Haoran 1,7; Zeng, Rong2,3
	2022-12
发表期刊	BMC BIOINFORMATICS (IF:2.9[JCR-2023],3.6[5-Year])
EISSN	1471-2105
卷号	23 期号:1
DOI	10.1186/s12859-022-05024-y
摘要	Background: Personalized therapy has been at the forefront of cancer care, making cancer treatment more effective. Since cancer patients respond individually to drug therapy, predicting the sensitivity of each patient to specific drugs is very helpful to apply therapeutic agents. Traditional methods focus on node (molecular) information but ignore relevant interactions among different nodes, which has very limited application in complex situations, such as cancer drug responses in real clinical practice. Results: Treatment evaluation with Quantified Network (TreeQNet) is a webserver which could predict sensitivity to drugs for patients through the innovative use of proteomic and phosphoproteomic network from tumor tissues. Conclusion: TreeQNet service: http://bioinfo.ustc.edu.cn/. TreeQNet source code: https://github.com/Really00/treeqnet-web-front/. © 2022, The Author(s).
关键词	Diseases Drug therapy Forestry HTTP Cancer patients Drug susceptibility Drug susceptibility prediction Kinase-phospho substrate network Personalized therapies Phosphoproteomics Proteomics Quantified network Substrate networks Web servers
URL	查看原文
收录类别	EI ; SCIE
语种	英语
出版者	BioMed Central Ltd
EI入藏号	20224613128798
EI主题词	Forecasting
EI分类号	461.6 Medicine and Pharmacology ; 821 Agricultural Equipment and Methods ; Vegetation and Pest Control
原始文献类型	Journal article (JA)
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/248923
专题	生命科学与技术学院_博士生生命科学与技术学院生命科学与技术学院_特聘教授组_曾嵘组
通讯作者	Zheng, Haoran; Zeng, Rong
作者单位	1.School of Computer Science and Technology, University of Science and Technology of China, Jinzhai Road 96, Hefei; 230027, China; 2.CAS Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai; 200031, China; 3.School of Life Science and Technology, ShanghaiTech University, Shanghai; 201210, China; 4.Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai; 200031, China; 5.Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai; 200025, China; 6.College of Life Sciences, University of Chinese Academy of Sciences, Beijing; 100049, China; 7.Anhui Key Laboratory of Software Engineering in Computing and Communication, University of Science and Technology of China, Jinzhai Road 96, Hefei; 230027, China
通讯作者单位	生命科学与技术学院
推荐引用方式 GB/T 7714	Li, Zhenlei,Huang, Ya,Li, Qingrun,et al. TreeQNet: a webserver for Treatment evaluation with Quantified Network[J]. BMC BIOINFORMATICS,2022,23(1).
APA	Li, Zhenlei.,Huang, Ya.,Li, Qingrun.,Sun, Yidi.,Li, Chen.,...&Zeng, Rong.(2022).TreeQNet: a webserver for Treatment evaluation with Quantified Network.BMC BIOINFORMATICS,23(1).
MLA	Li, Zhenlei,et al."TreeQNet: a webserver for Treatment evaluation with Quantified Network".BMC BIOINFORMATICS 23.1(2022).