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Table 11 SOV’99 scores of Q3 prediction on CASP12 using recently predicting methods are compared

From: Prediction of 8-state protein secondary structures by a novel deep learning architecture

Method

SOV H

SOV E

SOV C

SOV

JPRED

0.827

0.747

0.676

0.737

DeepCNF

0.873

0.799

0.658

0.788

MFOLD-SS

0.879

0.814

0.594

0.715

eCRRNN

0.884

0.798

0.741

0.797

  1. SOV H, SOV E and SOV C represent the prediction SOV score on a constituent secondary structure type H, E and C respectively. SOV represents the SOV score on CASP12 dataset
  2. Boldface numbers indicate best performance
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BMC Bioinformatics

ISSN: 1471-2105

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