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Table 5 Results of β -turns prediction on the BT547 and BT823 dataset

From: LVQ-SMOTE – Learning Vector Quantization based Synthetic Minority Over–sampling Technique for biomedical data

  DEBT [[18]] DEBT + our method
Dataset β -turn type MCC Sensitivity Specificity MCC Sensitivity Specificity
BT547 I 0.38 71.6% 82.6% 0.40 73.7% 85.0%
  II 0.33 63.0% 90.8% 0.31 66.7% 86.1%
  IV 0.27 69.8% 73.3% 0.38 81.6% 75.2%
  VIII 0.14 47.8% 84.4% 0.26 60.3% 84.1%
  Non-turn 0.37 21.1% 99.7% 0.39 30.4% 97.6%
BT823 I 0.39 70.6% 84.2% 0.37 71.3% 82.5%
  II 0.33 62.7% 91.2% 0.30 61.4% 92.1%
  IV 0.27 68.3% 74.4% 0.35 78.4% 78.9%
  VIII 0.14 42.2% 87.2% 0.17 47.9% 86.3%
  Non-turn 0.38 23.6% 99.7% 0.40 27.5% 97.4%