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A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network
BACKGROUND: Drug-target interaction prediction is of great significance for narrowing down the scope of candidate medications, and thus is a vital step in drug discovery. Because of the particularity of biochemical experiments, the development of new drugs is not only costly, but also time-consuming...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495825/ https://www.ncbi.nlm.nih.gov/pubmed/32938374 http://dx.doi.org/10.1186/s12859-020-03677-1 |