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Table 2 Predictions by the top 1 patch.

From: A graph kernel method for DNA-binding site prediction

Unbound
PDB id 1
Bound
PDB id
Top 1 patch P Random (%) 4
   TP2   
1iknA,C 1leiA,B 6 0 0.4
1g6nA,B 1zrfA,B 6 0 2.4
1zzkA 1zziA 6 0 2.9
1mml 1ztwA 4 2 4.2
1a2pC 1brnL 6 0 4.5
1ko9A 1m3qA 6 0 4.9
1qc9A 1cl8A,B 4 2 8.0
1lqc 1l1mA,B 6 0 8.7
1qzqA 1rfiB 2 4 9.5
1xx8A 1xyiA 6 0 10.7
1qqiA 1gxpA,B 4 2 19.3
1l3kA 1u1qA 3 3 25.6
2alcA 1f5eP 4 2 26.7
  1. 1 For the proteins in italic, the interfaces were predicted using only PSSM. For the others, all seven features were used; 2 TP: the number of the interface residues falling in the top 1 patch; 3 FP: the number of non-interface residues in the top 1 patch. 4 P random : When a patch is randomly picked, the probability of it containing at least as many interface residues as the top 1 patch.