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Table 1 Comparison of HLA-DR prediction results for MultiRTA, NetMHCIIpan, and TEPITOPE using the same data sets

From: MultiRTA: A simple yet reliable method for predicting peptide binding affinities for multiple class II MHC allotypes

 

MultiRTA

NetMHCIIpan

TEPITOPE

 

MHC β chain allele

AUC

RMS error

(kcal/mol)

Correlation coefficient

AUC

Correlation coefficient

AUC

Number of data

DRB1*0101

0.801

1.33

0.619

0.778

0.570

0.720

5166

DRB1*0301

0.751

1.36

0.438

0.746

0.449

0.664

1020

DRB1*0401

0.763

1.56

0.534

0.775

0.598

0.716

1024

DRB1*0404

0.835

1.33

0.623

0.852

0.684

0.770

663

DRB1*0405

0.808

1.28

0.566

0.808

0.597

0.759

630

DRB1*0701

0.817

1.51

0.620

0.825

0.655

0.761

853

DRB1*0802

0.786

1.45

0.523

0.841

0.631

0.766

420

DRB1*0901

0.674

2.01

0.380

0.653

0.388

NA

530

DRB1*1101

0.819

1.46

0.603

0.799

0.588

0.721

950

DRB1*1302

0.698

1.68

0.365

0.658

0.351

0.652

498

DRB1*1501

0.729

1.57

0.513

0.738

0.535

0.686

934

DRB3*0101

0.813

1.10

0.603

0.716

0.444

NA

549

DRB4*0101

0.746

1.61

0.508

0.724

0.469

NA

446

DRB5*0101

0.788

1.60

0.543

0.831

0.633

0.680

924

  1. The results for MultiRTA and NetMHCIIpan were obtained using leave-one-allele-out cross-validation, in which predictions are made for one allotype using a model trained on the data for the remaining allotypes. The largest AUC and correlation coefficient values for each MHC allotype are highlighted in bold.
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BMC Bioinformatics

ISSN: 1471-2105

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