Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields
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 accuracy, which has not been improved in the past decade. Here we present Deep...
| Main Authors: | , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Nature Publishing Group
2016
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707437/ |