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GANsDTA: Predicting Drug-Target Binding Affinity Using GANs
The computational prediction of interactions between drugs and targets is a standing challenge in drug discovery. State-of-the-art methods for drug-target interaction prediction are primarily based on supervised machine learning with known label information. However, in biomedicine, obtaining labele...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962343/ https://www.ncbi.nlm.nih.gov/pubmed/31993067 http://dx.doi.org/10.3389/fgene.2019.01243 |