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Table 2 Performance of different methods on MSDCD independent test dataset

From: Protein intrinsically disordered region prediction by combining neural architecture search and multi-objective genetic algorithm

Predictor

Sn

Sp

BACC

MCC

AUC

IDP-Fusion

0.685

0.851

0.768

0.494

0.846

DeepIDP-2L [18]

0.705

0.835

0.770

0.487

0.834

RFPR-IDP [17]

0.723

0.801

0.762

0.459

0.826

IDP-Seq2Seq [13]

0.676

0.842

0.759

0.475

0.824

SPOT-Disorder [7]

0.593

0.881

0.737

0.464

0.824

AUCpreD [8]

0.538

0.901

0.720

0.454

0.820

SPINE-D [15]

0.775

0.729

0.752

0.421

0.817

DISOPRED3 [6]

0.566

0.873

0.720

0.430

0.816

IUCpred-L [12]

0.551

0.864

0.707

0.404

0.775

IUCpred-S [12]

0.493

0.884

0.689

0.386

0.774