Rapid prediction of protein natural frequencies using graph neural networks
<jats:p>We present a computational framework based on graph neural networks (GNNs) to predict the natural frequencies of proteins from primary amino acid sequences and contact/distance maps.</jats:p>
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Royal Society of Chemistry (RSC)
2022
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| Online Access: | https://hdl.handle.net/1721.1/146553 |