Skip to main content

Table 1 Performance of SVM based predictive models for different classes of rhodopsin during tenfold cross validation

From: Ion-pumping microbial rhodopsin protein classification by machine learning approach

Class

Datasets

Type

ACC

MCC

AUC

GC

Overall (902p + 902n)

T812p+812n

AAC

97.78

0.96

1.00

g:0.001 c:0.1

V90p+90n

98.89

0.98

1.00

T812p+812n

DPC

97.84

0.96

1.00

g:0.005 c:0.1

V90p+90n

99.44

0.99

1.00

T812p+812n

HYB

97.6

0.95

1.00

g:0.005 c:0.01

V90p+90n

98.89

0.98

1.00

Actinorhodopsin (139p + 763n)

T125p+687n

AAC

99.88

1

1.00

g:0.01 c:10

V14p+76n

98.89

0.96

1.00

T125p+687n

DPC

99.88

1

1.00

g:0.01 c:10

V14p+76n

98.89

0.96

1.00

T125p+687n

Hybrid

99.63

0.99

1.00

g:0.01 c:10

V14p+76n

100

1

1.00

Bacteriorhodopsin (366p + 536n)

T330p+482n

AAC

98.15

0.96

1.00

g:0.01 c:50

V36p+54n

98.89

0.98

1.00

T330p+482n

DPC

99.75

0.99

1.00

g:0.01 c:50

V36p+54n

98.89

0.98

1.00

T330p+482n

Hybrid

99.75

0.99

1.00

g:0.01 c:50

V36p+54n

98.89

0.98

1.00

Halorhodopsin (23p + 879n)

T21p+791n

AAC

99.75

0.95

0.97

g:0.01 c:10

V2p+88n

100

1.00

1.00

T21p+791n

DPC

99.75

0.95

1.00

g:0.01 c:10

V2p+88n

100

1.00

1.00

T21p+791n

Hybrid

99.75

0.95

1.00

g:0.01 c:5

V2p+88n

100

1.00

1.00

Proteorhodopsin (191p + 711n)

T171p+640n

AAC

98.27

0.95

1.00

g:0.0001 c:50

V20p+71n

98.9

0.97

 

T171p+640n

DPC

98.27

0.95

1.00

g:0.001 c:1

V20p+71n

100

1.00

1.00

T171p+640n

Hybrid

98.77

0.96

1.00

g:0.001 c:1

V20p+71n

98.9

0.97

1.00

Sensoryrhodopsin (16p + 886n)

T14p+798n

AAC

99.38

0.8

0.90

g:0.01 c:5

V2p+88n

98.89

0.7

0.88

T14p+798n

DPC

99.38

0.81

0.97

g:0.001 c:10

V2p+88n

98.89

0.7

0.99

T14p+798n

Hybrid

99.51

0.85

0.93

g:0.01 c:1

V2p+88n

98.89

0.7

0.99

Xanthorhodopsin (167p + 735n)

T151p+662n

AAC

98.65

0.96

1.00

g:0.05 c:1

V16p+73n

98.88

0.96

1.00

T151p+662n

DPC

99.02

0.97

1.00

g:0.01 c:1

V16p+73n

97.75

0.92

1.00

T151p+662n

Hybrid

99.02

0.97

1.00

g:0.01 c:1

V16p+73n

97.75

0.92

1.00

  1. ACC, accuracy; MCC, Matthew’s correlation coefficient; AUC, area under curve; AAC, amino acid composition; DPC, dipeptide composition; Hybrid, AAC + DPC