Identification of chemogenomic features from drug–target interaction networks using interpretable classifiers | Zendy

Yasuo Tabei | Zendy; Edouard Pauwels | Zendy; Véronique Stoven | Zendy; Kazuhiro Takemoto | Zendy; Yoshihiro Yamanishi | Zendy

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Identification of chemogenomic features from drug–target interaction networks using interpretable classifiers

Author(s) -

Yasuo Tabei,

Edouard Pauwels,

Véronique Stoven,

Kazuhiro Takemoto,

Yoshihiro Yamanishi

Publication year - 2012

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/bts412

Subject(s) - drug target , computer science , classifier (uml) , identification (biology) , drug discovery , artificial intelligence , chemical space , virtual screening , interaction network , computational biology , applicability domain , machine learning , drug , pattern recognition (psychology) , quantitative structure–activity relationship , bioinformatics , biology , genetics , botany , pharmacology , gene

Drug effects are mainly caused by the interactions between drug molecules and their target proteins including primary targets and off-targets. Identification of the molecular mechanisms behind overall drug-target interactions is crucial in the drug design process.

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