Skip to main content

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

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

PDB ID

1jrh

1bj1

1g9m

1e6j

1n8z

1iqd

1yy9

2adf

1avz

1hx1

Average

CB (distance threshold = 6.5)

TP/PE

5/5

0/0

11/43

11/38

15/30*

10/43

6/28

8/29

8/27

2/27

 

MCC

0.1119

0.0

0.155

0.2285

0.1379

0.1604

0.059

0.1316

0.1380

-0.1271

0.0995

Sensitivity

1.0

0.0

0.2558

0.2895

0.5

0.2326

0.2143

0.2759

0.2963

0.0741

0.3139

Precision

0.2381

0.0

0.7333

1.0

0.75

0.625

0.4

0.5333

0.5

0.0833

0.4863

CB (distance threshold = 7)

TP/PE

13/18

6/9*

14/46

8/28

14/31*

9/46

9/29*

14/31

9/41

11/38

 

MCC

0.2747

0.1283

0.2048

0.1593

0.1282

0.127

0.0917

0.2604

0.1139

0.0939

0.1582

Sensitivity

0.7222

0.6667

0.3043

0.2857

0.4516

0.1957

0.3103

0.4516

0.2195

0.2895

0.3897

Precision

0.619

0.3158

0.9333

0.7273

0.7

0.5625

0.6

0.9333

0.5625

0.4583

0.6412

CB (distance threshold = 7.5)

TP/PE

19/41

12/27

10/40

9/35

14/33**

2/45

8/28*

10/45

8/29

9/29

 

MCC

0.3879

0.2349

0.1391

0.1806

0.1279

-0.0837

0.0809

0.1626

0.13

0.084

0.1444

Sensitivity

0.4634

0.4444

0.25

0.2571

0.4242

0.0444

0.2857

0.2222

0.2759

0.3103

0.2978

Precision

0.9048

0.6316

0.6667

0.8182

0.7

0.125

0.5333

0.6667

0.5

0.375

0.5921

CB (distance threshold = 8)

TP/PE

19/38

15/30

10/37

4/34*

18/37

4/42

7/26

10/18*

6/27

11/32

 

MCC

0.3947

0.3222

0.1401

0.0571

0.1664

-0.0101

0.0703

0.1832

0.0665

0.1271

0.1518

Sensitivity

0.5

0.5

0.2703

0.1176

0.4865

0.0952

0.2692

0.5556

0.2222

0.3438

0.3361

Precision

0.9048

0.7895

0.6667

0.3636

0.9

0.25

0.4667

0.6667

0.375

0.4583

0.5841

  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.
  3. **For the cases, the best prediction was found in the third-ranked candidate.