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Table 5 Comparison of the predictive performance of Pep-3D-Search with different distance parameters (AHA).

From: Pep-3D-Search: a method for B-cell epitope prediction based on mimotope analysis

PDB ID

1jrh

1bj1

1g9m

1e6j

1n8z

1iqds

1yy9

2adf

1avz

1hx1

Average

AHA (distance threshold = 3.7)

TP/PE

17/20

7/16

12/44

11/34

17/36*

6/32

6/25*

9/33

13/36

8/32

 

MCC

0.375

0.1243

0.1716

0.2286

0.1565

0.0733

0.0595

0.1502

0.2855

0.0351

0.1659

Sensitivity

0.85

0.4375

0.2727

0.3235

0.4722

0.1875

0.24

0.2727

0.3611

0.25

0.3667

Precision

0.8095

0.3684

0.8

1.0

0.85

0.375

0.4

0.6

0.8125

0.3333

0.6349

AHA (distance threshold = 4)

TP/PE

16/20

7/10

13/42

8/30

15/30*

5/39

6/23

10/37

12/35

10/34

 

MCC

0.3491

0.1528

0.1887

0.1584

0.1379

0.0283

0.0598

0.1695

0.2525

0.0858

0.1583

Sensitivity

0.8

0.7

0.3095

0.2667

0.5

0.1282

0.2609

0.2703

0.3429

0.2941

0.3873

Precision

0.7619

0.3684

0.8667

0.7273

0.75

0.3125

0.4

0.6667

0.75

0.4167

0.6021

AHA (distance threshold = 4.3)

TP/PE

16/18

8/11

14/42

8/36

17/30*

9/37

4/16*

11/37

10/33

4/26

 

MCC

0.3537

0.1773

0.2052

0.1558

0.1571

0.1431

0.0394

0.1923

0.1869

-0.0514

0.1559

Sensitivity

0.8889

0.7273

0.3333

0.2222

0.5667

0.2432

0.25

0.2973

0.303

0.1538

0.3986

Precision

0.7619

0.4211

0.9333

0.7273

0.85

0.5625

0.2667

0.7333

0.625

0.1667

0.6048

AHA (distance threshold = 4.6)

TP/PE

19/36

9/24

9/44

4/41

18/38

0/34

8/25*

8/36*

5/37

6/27

 

MCC

0.3989

0.1483

0.1206

0.0495

0.1663

-0.1023

0.0813

0.1241

-0.0357

0.0051

0.0956

Sensitivity

0.5278

0.375

0.2045

0.0976

0.4737

0.0

0.32

0.2222

0.1351

0.2222

0.2578

Precision

0.9048

0.4737

0.6

0.3636

0.9

0.0

0.5333

0.5333

0.3125

0.25

0.4871

  1. TP: number of true positives; PE: number of residues in the predicted epitope; TN: number of true negatives; FP: number of false positives; FN: number of false negatives; Matthews correlation coefficient ( MCC ) = ( T P â‹… T N ) − ( F P â‹… F N ) ( T P + F P ) ( T P + T N ) ( T N + F P ) ( T N + F N ) MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGaeiikaGIaeeyta0Kaee4qamKaee4qamKaeiykaKIaeyypa0tcfa4aaSaaaeaacqGGOaakcqWGubavcqWGqbaucqGHflY1cqWGubavcqWGobGtcqGGPaqkcqGHsislcqGGOaakcqWGgbGrcqWGqbaucqGHflY1cqWGgbGrcqWGobGtcqGGPaqkaeaadaGcaaqaaiabcIcaOiabdsfaujabdcfaqjabgUcaRiabdAeagjabdcfaqjabcMcaPiabcIcaOiabdsfaujabdcfaqjabgUcaRiabdsfaujabd6eaojabcMcaPiabcIcaOiabdsfaujabd6eaojabgUcaRiabdAeagjabdcfaqjabcMcaPiabcIcaOiabdsfaujabd6eaojabgUcaRiabdAeagjabd6eaojabcMcaPaqabaaaaaaa@613F@ ; Sensitivity  ( Se ) = T P T P + F N MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGaee4uamLaeeyzauMaeeOBa4Maee4CamNaeeyAaKMaeeiDaqNaeeyAaKMaeeODayNaeeyAaKMaeeiDaqNaeeyEaKNaeeiiaaIaeiikaGIaee4uamLaeeyzauMaeiykaKIaeyypa0tcfa4aaSaaaeaacqWGubavcqWGqbauaeaacqWGubavcqWGqbaucqGHRaWkcqWGgbGrcqWGobGtaaaaaa@4963@ ; Precision  ( Pr ) = T P T P + F P MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGaeeiuaaLaeeOCaiNaeeyzauMaee4yamMaeeyAaKMaee4CamNaeeyAaKMaee4Ba8MaeeOBa4MaeeiiaaIaeiikaGIaeeiuaaLaeeOCaiNaeiykaKIaeyypa0tcfa4aaSaaaeaacqWGubavcqWGqbauaeaacqWGubavcqWGqbaucqGHRaWkcqWGgbGrcqWGqbauaaaaaa@466F@ .
  2. *For the cases, the best prediction was found in the second-ranked candidate.