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Table 4 FCRN and MLP performance on G Switch Proteins

From: Protein secondary structure prediction using a small training set (compact model) combined with a Complex-valued neural network approach

Method

Observed j

 

Predicted j

 

Q j (%)

Q 3 (%)

  

H

E

C

  
 

H

680

0

42

94.19

 

FCRN

E

25

384

137

70.33

80.36

 

C

51

20

61

46.22

 
 

H

691

0

31

95.71

 

MLP

E

38

394

114

72.17

79.22

 

C

51

57

24

18.19

 
  1. Both networks were trained with SSP 55
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BMC Bioinformatics

ISSN: 1471-2105

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