Skip to main content

Table 10 SOV’99 scores of Q3 prediction using eCRRNN on 4 datasets: CB513, CASP10, CASP11 and CASP12

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

Type

CB513

CASP10

CASP11

CASP12

SOV H

0.917

0.919

0.922

0.884

SOV E

0.859

0.868

0.835

0.798

SOV C

0.769

0.813

0.778

0.741

SOV

0.829

0.855

0.833

0.797

SOV mean

0.842

0.851

0.850

0.817

  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 different dataset and SOV mean is mean value of the SOV score on sequence level