Protein secondary structure prediction using deep convolutional neural fields

2 Dec 2015Sheng WangJian PengJianzhu MaJinbo Xu

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... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Protein Secondary Structure Prediction CB513 LucaAngioloni-WindowCNN Q8 0.6557 # 2
Protein Secondary Structure Prediction CullPDB LucaAngioloni-WindowCNN Q8 0.721522 # 1