Table 1

Prediction performance of selected representative servers at two scenarios: a) thresholds that correctly predict ~80% of T-cell epitopes; b) thresholds that correctly predict ~50% of T-cell epitopes.

Server

Threshold

TP

FN

TN

FP

TP (tumor epitopes)


a) 80% prediction

IEDB_ARB

100

10

5

56

32

17 (81%)

IEDB_ CON

11

10

5

70

18

17 (81%)

MHCPRED

15

10

5

36

52

17 (81%)

MULTI_ANN

3

15

0

38

50

17 (81%)

MULTI_SVM

6.4

13

2

59

29

17 (81%)

NETMHCII

4000

12

3

51

37

17 (81%)

NETMHCIIPAN

440

12

3

56

32

17 (81%)

PROPRED

-1.5

14

1

54

34

17 (81%)

RANKPEP

0.85

12

3

41

47

17 (81%)


b) 50% prediction

IEDB_ARB

3

7

8

80

8

10 (48%)

IEDB_ CON

4

7

8

86

2

10 (48%)

MHCPRED

3

4

11

76

12

10 (48%)

MULTI_ANN

5

5

10

66

22

11 (52%)

MULTI_SVM

7.1

6

9

82

6

10 (48%)

NETMHCII

400

7

8

78

10

10 (48%)

NETMHCIIPAN

60

7

8

87

1

10 (48%)

PROPRED

0

10

5

81

7

11 (52%)

RANKPEP

7

10

5

69

19

11 (52%)


Lin et al. BMC Bioinformatics 2008 9(Suppl 12):S22   doi:10.1186/1471-2105-9-S12-S22

Open Data