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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...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7336396/ https://ncbi.nlm.nih.gov/pubmed/32631230 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-3518-6 |
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