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Table 8 Performance benchmark with the Remark 465 dataset under parameters that produced the highest Matthews Correlation Coefficient (MCC).

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

0.09

0.433

0.937

0.388

0.370

DisEMBL Rem465

1

0.316

0.958

0.338

0.274

IUPred short

0.49

0.421

0.914

0.328

0.335

IUPred long

0.53

0.355

0.921

0.284

0.276

CAST

24

0.349

0.887

0.218

0.235

DisEMBL Coils

1.9

0.290

0.907

0.200

0.198

DisEMBL Hotloops

2.9

0.217

0.944

0.198

0.161

SEG25

2.95;3.25

0.229

0.935

0.191

0.164

SEG12

1.95;2.25

0.065

0.994

0.170

0.059

SEG45

3.30;3.60

0.192

0.942

0.166

0.134

  1. Predictors were run and ranked as described in Table 7 but over the Remark 465 dataset including parameter optimization for this dataset with focus on short disorder.
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BMC Genomics

ISSN: 1471-2164

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