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Table 3 Predictive power of features on RB144 data set.

From: Exploiting structural and topological information to improve prediction of RNA-protein binding sites

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)
  1. 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).
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