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Deep learning methods for protein torsion angle prediction

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Deep learning is one of the most powerful machine learning methods that has achieved the state-ofthe-art performance in many domains. Since deep learning was introduced to the field of bioinformatics in 2012, it has achieved success in a number of areas such as protein residue-residue contact prediction, secondary structure prediction, and fold recognition. |

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