Skip to main content

Table 6 Performance benchmark with the Remark 465 dataset under parameters at default values.

From: Parameterization of disorder predictors for large-scale applications requiring high specificity by using an extended benchmark dataset

Method

threshold

sensitivity

specificity

MCC

PE

DISOPRED2

0.05

0.566

0.874

0.373

0.441

DisEMBL Rem465

1.2

0.273

0.969

0.330

0.242

IUPred short

0.5

0.406

0.920

0.327

0.326

IUPred long

0.5

0.394

0.899

0.276

0.293

SEG25

3.00;3.30

0.269

0.908

0.182

0.177

SEG12

2.20;2.50

0.136

0.967

0.160

0.103

DisEMBL Hotloops

1.4

0.432

0.780

0.159

0.211

CAST

40

0.179

0.940

0.146

0.119

SEG45

3.40;3.75

0.293

0.865

0.141

0.157

DisEMBL Coils

1.2

0.733

0.457

0.124

0.190

  1. Predictors were run and ranked as described in Table 5 but over the Remark 465 dataset (short disorder). As in Table 5, rankings differ if based on MCC or PE.
Back to article page

BMC Genomics

ISSN: 1471-2164

Contact us