Skip to main content

Table 1 Performance evaluation of GlyStruct and compared with other existing method

From: GlyStruct: glycation prediction using structural properties of amino acid residues

Method

Sensitivity (%)

Specificity (%)

Accuracy (%)

MCC

GlyStruct (10-Fold)

0.7013

0.7989

0.7562

0.5065

GlyStruct (8-Fold)

0.7059

0.7952

0.7562

0.5059

GlyStruct (6-Fold)

0.6984

0.7950

0.7528

0.4983

GlyStruct LOO

0.7404

0.7793

0.7622

0.5186

Gly-PseAACa (10-Fold)

0.6845

0.6745

0.6784

0.3587

Gly-PseAACa (8-Fold)

0.6768

0.6751

0.6784

0.3514

Gly-PseAACa (6-Fold)

0.6830

0.6776

0.6785

0.3579

Gly-PseAACb LOO

0.5874

0.7399

0.6891

0.3198

  1. aGly-PseAAC predictor performance on our dataset
  2. bas reported in [28] for Gly-PseAAC
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us