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Binding affinity predictions with hybrid quantum-classical convolutional neural networks
Central in drug design is the identification of biomolecules that uniquely and robustly bind to a target protein, while minimizing their interactions with others. Accordingly, precise binding affinity prediction, enabling the accurate selection of suitable candidates from an extensive pool of potent...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589342/ https://www.ncbi.nlm.nih.gov/pubmed/37864075 http://dx.doi.org/10.1038/s41598-023-45269-y |