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. Author manuscript; available in PMC: 2013 Jan 1.
Published in final edited form as: Proteins. 2011 Oct 31;80(1):111–125. doi: 10.1002/prot.23168

Table 4.

Prediction of stabilizing/destabilizing and hot spot mutations

Stabilizing/Destabilizing Mutations Hot spot Mutations

Model Accuracy (%) Accuracy (%) Sensitivity (%) Specificity (%)
1 87 79 54 90
2 89 82 66 90

Stabilizing mutations had ΔΔGexp < 0 and destabilizing mutations had ΔΔGexp > 0.

Hot spot mutations had |ΔΔGexp|> 2 and non-hot spot mutations had |ΔΔGexp|< 2. Accuracy measures how many ΔΔGcalc have been predicted to be in the same direction of stability as the ΔΔGexp.

Sensitivity measures how many hot spot mutations were identified correctly relative to the total amount of hot spots. Specificity measures how many non-hot spots were correctly identified relative to the total number of non-hot spots. There are 727 destabilizing mutations, 71 stabilizing mutations and 255 hot spot mutations
Accuracy=TP+TNTotal;Sensitivity=TPTP+FN;Specificity=TNTN+FP