Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces

BACKGROUND: Predicting drug-protein interactions from heterogeneous biological data sources is a key step for in silico drug discovery. The difficulty of this prediction task lies in the rarity of known drug-protein interactions and myriad unknown interactions to be predicted. To meet this challenge...

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Detalles Bibliográficos
Autores principales: Xia, Zheng, Wu, Ling-Yun, Zhou, Xiaobo, Wong, Stephen TC
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2982693/
https://www.ncbi.nlm.nih.gov/pubmed/20840733
http://dx.doi.org/10.1186/1752-0509-4-S2-S6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2982693/
https://www.ncbi.nlm.nih.gov/pubmed/20840733
http://dx.doi.org/10.1186/1752-0509-4-S2-S6

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