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Table 4 Comparison of H-SVM-LR with other β-turns prediction methods on BT547 and BT823 datasets.

From: Predicting beta-turns in proteins using support vector machines with fractional polynomials

Prediction method Dataset Qtotal Qpredicted Qobserved MCC
H-SVM-LR   82.84 63.60 68.5 0.55
Zheng and Kurgan [2]   80.5 61.6 54.2 0.45
Liu et al. [20] BT547 80.6 64.3 44.5 0.44
Hu and Li [19]   76.6 47.6 70.2 0.43
DEBT [21]   80.0 55.9 68.7 0.49
COUDES [9]   74.6 48.7 70.4 0.42
H-SVM-LR   82.32 64.48 72.72 0.56
Zheng and Kurgan [2]   80.6 60.8 54.6 0.45
Liu et al. [20] BT823 80.5 62.3 44.6 0.44
Hu and Li [19]   76.8 53.0 72.3 0.45
DEBT [21]   80.9 55.9 66.1 0.48
COUDES [9]   74.2 47.5 69.6 0.41
  1. a
  2. Note: The results of the method of Liu et al. are obtained from their corresponding paper. The results of other β-turns prediction methods are obtained from [22].