Parameterized hypercomplex convolutional network for accurate protein backbone torsion angle prediction
Abstract Predicting the backbone torsion angles corresponding to each residue of a protein from its amino acid sequence alone is a challenging problem in computational biology. Existing torsion angle predictors mainly use profile features, which are generated by performing time-consuming multiple se...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-11-01
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Series: | Scientific Reports |
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Online Access: | https://doi.org/10.1038/s41598-024-77412-8 |
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