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Table 4 The cross-validation performances of various algorithms using the three-state α-helix (H), β-sheet (E) and other (O) assignment scheme.

From: Novel methods for secondary structure determination using low wavelength (VUV) circular dichroism spectroscopic data

Method

SP175

SP175(nr)

 

H

E

O

H

E

O

 

δ

r

δ

r

δ

r

δ

r

δ

r

δ

r

SELMAT3

0.063

0.957

0.083

0.862

0.078

0.701

0.065

0.954

0.090

0.833

0.083

0.672

SELMAT1_norm

0.062

0.958

0.070

0.904

0.071

0.757

0.065

0.955

0.072

0.897

0.073

0.746

SIMPLS

0.055

0.968

0.070

0.905

0.065

0.800

0.056

0.967

0.071

0.901

0.065

0.797

PCR

0.057

0.966

0.069

0.906

0.066

0.796

0.058

0.965

0.071

0.902

0.066

0.792

PLS

0.053

0.971

0.073

0.895

0.068

0.781

0.053

0.970

0.074

0.893

0.069

0.774

PLS-opt

0.052

0.971

0.070

0.902

0.066

0.796

0.054

0.970

0.072

0.900

0.066

0.790

NN

0.055

0.968

0.067

0.912

0.062

0.816

0.056

0.967

0.068

0.909

0.064

0.805

SIMPL-NN

0.057

0.965

0.064

0.923

0.055

0.860

0.056

0.964

0.065

0.918

0.057

0.850

SVM

0.057

0.966

0.069

0.908

0.066

0.792

0.060

0.964

0.072

0.902

0.067

0.785

  1. The (nr) tag indicates that the cross-validation was carried out under more stringent conditions where no proteins in the training or validation set with the same CATH homologous superfamily as that of the test protein were included. The best results for each secondary structure type are shown in bold.