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A dual graph neural network for drug–drug interactions prediction based on molecular structure and interactions
Expressive molecular representation plays critical roles in researching drug design, while effective methods are beneficial to learning molecular representations and solving related problems in drug discovery, especially for drug-drug interactions (DDIs) prediction. Recently, a lot of work has been...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9879511/ https://www.ncbi.nlm.nih.gov/pubmed/36701288 http://dx.doi.org/10.1371/journal.pcbi.1010812 |