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Table 2 The nine most significant features according to stability selection on the S1676 data set.

From: Feature-based multiple models improve classification of mutation-induced stability changes

Feature Significance
SIFT score 1.00
Δ hydrophobicity 0.97
relative accessible surface area 0.86
disorder probability 0.81
Δ compressibility 0.80
Δ polarisability 0.58
volume (mean, min, max) 0.54
Δ isoelectric point 0.53
secondary structure probabilities 0.47
  1. Δ refers to the change between the introduced and deleted amino acids; (mean, min, max) was calculated for a window of six neighbouring residues; significance denotes the probability of being selected with stability selection