Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug–drug links based on graph neural network | Zendy

Chen Cui | Zendy; Xiaoyu Ding | Zendy; Dingyan Wang | Zendy; Lifan Chen | Zendy; Xiao Fu | Zendy; Tingyang Xu | Zendy; Mingyue Zheng | Zendy; Xiaomin Luo | Zendy; Hualiang Jiang | Zendy; Kaixian Chen | Zendy

Open Access

Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug–drug links based on graph neural network

Author(s) -

Chen Cui,

Xiaoyu Ding,

Dingyan Wang,

Lifan Chen,

Xiao Fu,

Tingyang Xu,

Mingyue Zheng,

Xiaomin Luo,

Hualiang Jiang,

Kaixian Chen

Publication year - 2021

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btab191

Subject(s) - drug , drug repositioning , breast cancer , cancer , computer science , medicine , pharmacology

Breast cancer is one of the leading causes of cancer deaths among women worldwide. It is necessary to develop new breast cancer drugs because of the shortcomings of existing therapies. The traditional discovery process is time-consuming and expensive. Repositioning of clinically approved drugs has emerged as a novel approach for breast cancer therapy. However, serendipitous or experiential repurposing cannot be used as a routine method.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research