Accurate Prediction of Protein Structural Flexibility by Deep Learning Integrating Intricate Atomic Structures and Cryo-EM Density Information
Abstract The dynamics of proteins are crucial for understanding their mechanisms. However, computationally predicting protein dynamic information has proven challenging. Here, we propose a neural network model, RMSF-net, which outperforms previous methods and produces the best results in a large-sca...
| Glavni autori: | , , , , , , |
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| Format: | Članak |
| Jezik: | English |
| Izdano: |
Nature Portfolio
2024-07-01
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| Serija: | Nature Communications |
| Online pristup: | https://doi.org/10.1038/s41467-024-49858-x |