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Drug-target interaction prediction using semi-bipartite graph model and deep learning
BACKGROUND: Identifying drug-target interaction is a key element in drug discovery. In silico prediction of drug-target interaction can speed up the process of identifying unknown interactions between drugs and target proteins. In recent studies, handcrafted features, similarity metrics and machine...
| 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/PMC7336396/ https://www.ncbi.nlm.nih.gov/pubmed/32631230 http://dx.doi.org/10.1186/s12859-020-3518-6 |