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Drug repositioning based on heterogeneous networks and variational graph autoencoders
Predicting new therapeutic effects (drug repositioning) of existing drugs plays an important role in drug development. However, traditional wet experimental prediction methods are usually time-consuming and costly. The emergence of more and more artificial intelligence-based drug repositioning metho...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9812491/ https://www.ncbi.nlm.nih.gov/pubmed/36618933 http://dx.doi.org/10.3389/fphar.2022.1056605 |