PremPS: Predicting the impact of missense mutations on protein stability
Fig 2
Comparative performance of PremPS and four other methods of INPS3D, PoPMuSiC, FoldX, and mCSM on the independent test set of S921.
(A) ROC curves for predicting highly destabilizing (ΔΔGexp ≥ 1 kcal mol-1) and highly stabilizing mutations (ΔΔGexp ≤ -1 kcal mol-1). PremPS has substantially higher AUC-ROC than other methods (p-value < 0.01, DeLong test, S3B Fig). (B) Pearson correlation coefficients between predicted and experimental ΔΔG for mutations occurring in protein core and surface. The difference in R between PremPS and other methods is significant (p-value < 0.01, Hittner2003 test). More details are shown in S3 and S4 Figs.