Binding affinity predictions with hybrid quantum-classical convolutional neural networks
Abstract 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...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Portfolio
2023-10-01
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| Edice: | Scientific Reports |
| On-line přístup: | https://doi.org/10.1038/s41598-023-45269-y |
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