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Table 7 Predictive results of different methods when ΔΔG ≥ 2 kcal.mol-1 is defined as a threshold

From: Rigorous assessment and integration of the sequence and structure based features to predict hot spots

Method Dataset P R F1
Robetta Training set 0.49 0.44 0.47
  Test set 0.71 0.25 0.37
FOLDEF Training set 0.45 0.54 0.49
  Test set 0.60 0.26 0.37
Cho's method Training set 0.58 0.73 0.65
  Test set 0.44 0.65 0.52
Tuncbag's method Training set 0.64 0.52 0.57
  Test set 0.73 0.59 0.65
Sequence-based SVM Training set 0.78 0.80 0.79
  Test set 0.65 0.64 0.64
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BMC Bioinformatics

ISSN: 1471-2105

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