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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-10-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-45269-y |