DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches

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MOTIVATION: Finding computationally drug–target interactions (DTIs) is a convenient strategy to identify new DTIs at low cost with reasonable accuracy. However, the current DTI prediction methods suffer the high false positive prediction rate. RESULTS: We developed DDR, a novel method that improves...

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Detalles Bibliográficos
Autores principales: Olayan, Rawan S, Ashoor, Haitham, Bajic, Vladimir B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998943/
https://www.ncbi.nlm.nih.gov/pubmed/29186331
http://dx.doi.org/10.1093/bioinformatics/btx731

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998943/
https://www.ncbi.nlm.nih.gov/pubmed/29186331
http://dx.doi.org/10.1093/bioinformatics/btx731

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