Skip to main content

Table 9 SOV’99 scores of Q8 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 L

0.611

0.629

0.595

0.538

SOV H

0.929

0.924

0.908

0.907

SOV T

0.599

0.67

0.605

0.531

SOV E

0.882

0.884

0.86

0.829

SOV S

0.351

0.362

0.327

0.256

SOV B

0.078

0.11

0.077

0.027

SOV G

0.419

0.416

0.339

0.297

SOV I

0

0

0

0

SOV

0.725

0.747

0.722

0.684

SOV mean

0.723

0.740

0.738

0.698

  1. SOV L,SOV H, SOV T, SOV E, SOV S, SOV B, SOV G and SOV I represent the prediction SOV score on a constituent secondary structure type L, H, T, E, S,B, G and I respectively. SOV represents the SOV score on different dataset and SOV mean is mean value of the SOV score on sequence level
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us