Improving compound–protein interaction prediction by building up highly credible negative samples

Motivation: Computational prediction of compound–protein interactions (CPIs) is of great importance for drug design and development, as genome-scale experimental validation of CPIs is not only time-consuming but also prohibitively expensive. With the availability of an increasing number of validated...

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Detalles Bibliográficos
Autores principales: Liu, Hui, Sun, Jianjiang, Guan, Jihong, Zheng, Jie, Zhou, Shuigeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Ismb/Eccb 2015 Proceedings Papers Committee July 10 to July 14, 2015, Dublin, Ireland
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765858/
https://www.ncbi.nlm.nih.gov/pubmed/26072486
http://dx.doi.org/10.1093/bioinformatics/btv256

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765858/
https://www.ncbi.nlm.nih.gov/pubmed/26072486
http://dx.doi.org/10.1093/bioinformatics/btv256

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