Relating drug–protein interaction network with drug side effects | Zendy

Sayaka Mizutani | Zendy; Edouard Pauwels | Zendy; Véronique Stoven | Zendy; Susumu Goto | Zendy; Yoshihiro Yamanishi | Zendy

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Relating drug–protein interaction network with drug side effects

Author(s) -

Sayaka Mizutani,

Edouard Pauwels,

Véronique Stoven,

Susumu Goto,

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/bts383

Subject(s) - drug , kegg , computational biology , side effect (computer science) , drug discovery , gene ontology , drug development , biology , bioinformatics , gene , pharmacology , computer science , genetics , gene expression , programming language

Identifying the emergence and underlying mechanisms of drug side effects is a challenging task in the drug development process. This underscores the importance of system-wide approaches for linking different scales of drug actions; namely drug-protein interactions (molecular scale) and side effects (phenotypic scale) toward side effect prediction for uncharacterized drugs.

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