Improvement in positional accuracy of neural-network predicted hydration sites of proteins by incorporating atomic details of water-protein interactions and site-searching algorithm
Visualization of hydration structures over the entire protein surface is necessary to understand why the aqueous environment is essential for protein folding and functions. However, it is still difficult for experiments. Recently, we developed a convolutional neural network (CNN) to predict the prob...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
The Biophysical Society of Japan
2025-03-01
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| Series: | Biophysics and Physicobiology |
| Subjects: | |
| Online Access: | https://doi.org/10.2142/biophysico.bppb-v22.0004 |
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