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. 2018 Dec 7;47(2):582–593. doi: 10.1093/nar/gky1224

Table 1.

Fisher’s Exact Tests comparing deleteriousness predictions between binding and non-binding mutations

# Binding Mutations # Non-Binding Mutations
Method deleterious tolerated deleterious tolerated Odds Ratio P-value
SIFT 23094 9142 486 089 312 266 1.62 ∼0
PolyPhen2, HDIV 21208 11801 416 954 400 778 1.73 ∼0
PolyPhen2, HVAR 18574 14435 326 362 491 306 1.94 ∼0
MutationTaster 6284 3868 129 866 94141 1.18 4e-15
PROVEAN 6411 3429 103 264 114 453 2.07 3e-262
REVEL 3230 6886 47823 175 674 1.72 3e-127
MutPred 6011 3156 92629 109 803 2.26 7e-305

Each distinct somatic mutation in the pan-cancer dataset is classified as either binding (i.e. falls into an InteracDome-inferred, confident putative binding position in at least one human protein) or non-binding. Corresponding deleteriousness scores for each of these mutations were retrieved, where available, from the Database for Nonsynonymous SNPs’ Functional Predictions (v3.5) (52); many mutations analyzed did not have corresponding deleteriousness scores for one or more predictors. Score thresholds to distinguish deleterious from tolerated mutations were set as recommended by each method or to ≥0.5 when not specified for REVEL and MutPred scores.