Table 3.

Predictive power of features on RB144 data set.

AUC	Type	Size	Feature
0.65	-	1	Retention coefficient (RC)
0.66	sequential	11	Averaged retention coefficient (saRC)
0.69	topological	19	Averaged retention coefficient (taRC)
0.69	spatial	19	Averaged retention coefficient (aRC)
0.70	-	1	Accessible surface area (ASA)
0.69	spatial	19	Averaged Accessible surface area (aASA)
0.69	-	1	Relative accessible surface area (rASA)
0.68	spatial	19	Averaged Relative accessible surface area (arASA)
0.66	spatial	19	Density (D)
0.56	-	1	Betweenness centrality (BC)
0.71	topological	19	Averaged betweenness centrality (aBC)
0.69	-	1	Status (S)
0.69	topological	19	Averaged Status (aS)
0.62	-	1	Cluster coefficient (CC)
0.64	topological	19	Averaged cluster coefficient (aCC)
0.64	-	1	Degree (G)
0.64	topological	19	Averaged degree (aG)
0.63	-	1	Eccentricity (E)
0.64	topological	19	Averaged eccentricity (aE)
0.62	-	1	Closeness (C)
0.64	topological	19	Averaged closeness (aC)

Predictive power (AUC) of features on RB144 data set. Patch type and patch size are listed in columns two and three. A missing patch type and patch size of one indicate features evaluated for individual residues (no patch used).