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TreeQNet: a webserver for Treatment evaluation with Quantified Network.
Li, Zhenlei; Huang, Ya; Li, Qingrun; Sun, Yidi; Li, Chen; Wu, Jiarui; Zheng, Haoran; Zeng, Rong.
Afiliação
  • Li Z; School of Computer Science and Technology, University of Science and Technology of China, Jinzhai Road 96, Hefei, 230027, People's Republic of China.
  • Huang Y; Anhui Key Laboratory of Software Engineering in Computing and Communication, University of Science and Technology of China, Jinzhai Road 96, Hefei, 230027, People's Republic of China.
  • Li Q; 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, People's Republic of China.
  • Sun Y; School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, People's Republic of China.
  • Li C; College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China.
  • Wu J; 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, People's Republic of China.
  • Zheng H; 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, People's Republic of China.
  • Zeng R; Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, People's Republic of China.
BMC Bioinformatics ; 23(1): 473, 2022 Nov 11.
Article em En | MEDLINE | ID: mdl-36368946
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/ .
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias / Antineoplásicos Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias / Antineoplásicos Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article