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SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network
The prediction of drug–target affinity (DTA) is a crucial step for drug screening and discovery. In this study, a new graph-based prediction model named SAG-DTA (self-attention graph drug–target affinity) was implemented. Unlike previous graph-based methods, the proposed model utilized self-attentio...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396496/ https://www.ncbi.nlm.nih.gov/pubmed/34445696 http://dx.doi.org/10.3390/ijms22168993 |