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. 2014 Sep 18;10(9):e1003829. doi: 10.1371/journal.pcbi.1003829

Table 2. Accuracy of inter-residue distance prediction for adenine-binding proteins from the SOIPPA dataset.

Structure dataset Binding ligand
ADP ATP FAD NAD SAH SAM
PCC a MSE b PCC a MSE b PCC a MSE b PCC a MSE b PCC a MSE b PCC a MSE b
Crystal structures 0.79 6.4 0.73 8.1 0.96 2.4 0.89 4.6 0.95 1.6 0.76 7.2
High-quality models 0.75 7.3 0.72 8.6 0.92 4.6 0.86 6.1 0.94 1.9 0.88 3.6
Moderate-quality models 0.75 7.9 0.68 10.1 0.88 7.2 0.86 6.3 0.86 4.1 0.83 4.9

The Pearson correlation coefficient (PCC) and the mean squared error (MSE) are calculated for the actual pairwise Cα-Cα distances upon the superposition of binding ligands and those predicted by SVR from residue-level scores. The accuracy is reported separately for different binding ligands and target protein conformations including crystal structures, high- and moderate-quality protein models.

a

Pearson correlation coefficient.

b

Mean squared error in Å.