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Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework

Motivation: In silico prediction of drug–target interactions from heterogeneous biological data is critical in the search for drugs and therapeutic targets for known diseases such as cancers. There is therefore a strong incentive to develop new methods capable of detecting these potential drug–targe...

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Detalles Bibliográficos
Autores principales: Yamanishi, Yoshihiro, Kotera, Masaaki, Kanehisa, Minoru, Goto, Susumu
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2881361/
https://www.ncbi.nlm.nih.gov/pubmed/20529913
http://dx.doi.org/10.1093/bioinformatics/btq176