Table 3

Prediction results for the training set with 6 combined terms

Complex

Unbound

No. of Surface Residues

No. of Interface Residues

Sensitivitya

Precisiona

Specificitya

AUC


1AHW_AB:C

1TFH_A

173

25

0.360

0.153

0.662

0.481

1BVK_DE:F

3LZT_

98

17

0.765

0.361

0.716

0.835

1DQJ_AB:C

3LZT_

98

20

0.300

0.182

0.654

0.534

1E6J_HL:P

1A43_

63

13

0.462

0.353

0.780

0.585

1JPS_HL:T

1TFH_B

155

25

0.360

0.170

0.662

0.517

1 MLC_AB:E

3LZT_

98

16

0.562

0.250

0.671

0.636

1VFB_AB:C

8LYZ_

107

18

0.833

0.385

0.730

0.833

1WEJ_HL:F

1HRC_

95

13

0.462

0.188

0.683

0.649

2VIS_AB:C

2VIU_A

247

20

0.900

0.281

0.797

0.901

1BJ1_HLJK:VWb

2VPF_GH

160

35

0.600

0.412

0.760

0.705

1FSK_BC:A

1BV1_

145

19

0.526

0.233

0.738

0.587

1I9R_HL:ABCb

1ALY_ABC

320

65

0.508

0.292

0.686

0.687

1IQD_AB:C

1D7P_M

127

17

0.765

0.361

0.791

0.848

1K4C_AB:C

1JVM_A

88

16

0.500

0.258

0.681

0.647

1KXQ_H:A

1PPI_

341

30

0.600

0.148

0.666

0.637

1NCA_HL:N

7NN9_

263

27

0.556

0.163

0.674

0.684

1NSN_HL:S

1KDC_

106

23

0.174

0.114

0.627

0.454

1QFW_HL:AB

1HRP_AB

170

17

0.235

0.071

0.660

0.484

1QFW_IM:AB

1HRP_AB

170

17

0.706

0.214

0.712

0.738

2JEL_HL:P

1POH_

68

18

0.167

0.158

0.680

0.498

1BGX_HL:T

1CMW_A

646

66

0.394

0.124

0.683

0.521

2HMI_CD:AB

1S6P_AB

810

14

0.429

0.024

0.697

0.518

Mean

207

24.1

50.7

0.222

0.7

0.635


a Sensitivity, precision, and specificity were recorded when 55% of surface residues were predicted as interface residues by the single term. We chose the parameter (55%) so that the sensitivity was about 50% in the consensus prediction. bMultiple binding sites.

Liang et al. BMC Bioinformatics 2009 10:302   doi:10.1186/1471-2105-10-302

Open Data