Identification of drug–target interaction from interactome network with ‘guilt-by-association’ principle and topology features | Zendy

Zhanchao Li | Zendy; Meng-Hua Huang | Zendy; Wenqian Zhong | Zendy; Zhiqing Liu | Zendy; Yun Xie | Zendy; Zong Dai | Zendy; Xiaoyong Zou | Zendy

Open Access

Identification of drug–target interaction from interactome network with ‘guilt-by-association’ principle and topology features

Author(s) -

Zhanchao Li,

Meng-Hua Huang,

Wenqian Zhong,

Zhiqing Liu,

Yun Xie,

Zong Dai,

Xiaoyong Zou

Publication year - 2015

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/btv695

Subject(s) - interactome , drug target , computer science , interaction network , identification (biology) , computational biology , drug discovery , drug development , drug , network topology , association (psychology) , biological network , topology (electrical circuits) , data mining , bioinformatics , biology , mathematics , pharmacology , genetics , philosophy , botany , epistemology , combinatorics , gene , operating system

Identifying drug-target protein interaction is a crucial step in the process of drug research and development. Wet-lab experiment are laborious, time-consuming and expensive. Hence, there is a strong demand for the development of a novel theoretical method to identify potential interaction between drug and target protein.

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