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Drug–target interaction prediction using unifying of graph regularized nuclear norm with bilinear factorization
BACKGROUND: Wet-lab experiments for identification of interactions between drugs and target proteins are time-consuming, costly and labor-intensive. The use of computational prediction of drug–target interactions (DTIs), which is one of the significant points in drug discovery, has been considered b...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8597250/ https://www.ncbi.nlm.nih.gov/pubmed/34789169 http://dx.doi.org/10.1186/s12859-021-04464-2 |