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Table 5 What is the effect on FunFOLD performance if the native structures are used for each target?

From: FunFOLD: an improved automated method for the prediction of ligand binding residues using 3D models of proteins

Group
ID
N Mean score for
group
Mean score for
FunFOLD
Increase in mean
score
Mean Z-score for
group
Mean Z-score for
FunFOLD
P-value
(raw score)
P-value
(Z-score)
1 - p-value
(raw score)
1 - p-value
(Z-score)
   MCC BDT MCC BDT MCC BDT MCC BDT MCC BDT MCC BDT MCC BDT MCC BDT MCC BDT
FN407 23 0.793 0.735 0.853 0.774 0.060 0.039 1.160 1.238 1.343 1.388 0.112 0.255 0.119 0.277 0.888 0.746 0.881 0.723
FN293 18 0.786 0.721 0.891 0.828 0.106 0.107 1.086 1.091 1.413 1.483 0.009 0.330 0.008 0.033 0.991 0.967 0.991 0.967
FN202 21 0.691 0.593 0.863 0.790 0.172 0.196 0.841 0.789 1.334 1.414 0.001 0.001 0.001 0.001 0.999 0.999 0.999 0.999
  1. A repeat comparison of FunFOLD performance versus the top 3 groups at CASP8.