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Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields.
(Nature Publishing Group, 2016-01-11)
Protein secondary structure (SS) prediction is important for studying protein structure and function. When only the sequence (profile) information is used as input feature, currently the best predictors can obtain ~80% Q3 ...