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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2015
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| Materias: | |
| 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 |