Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces

BACKGROUND: Detection of new drug-target interactions by computational algorithms is of crucial value to both old drug repositioning and new drug discovery. Existing machine-learning methods rely only on experimentally validated drug-target interactions (i.e., positive samples) for the predictions....

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Detalles Bibliográficos
Autores principales: Zheng, Yi, Peng, Hui, Zhang, Xiaocai, Zhao, Zhixun, Gao, Xiaoying, Li, Jinyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933655/
https://www.ncbi.nlm.nih.gov/pubmed/31881829
http://dx.doi.org/10.1186/s12859-019-3238-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933655/
https://www.ncbi.nlm.nih.gov/pubmed/31881829
http://dx.doi.org/10.1186/s12859-019-3238-y

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