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. 2014 Aug 28;9(8):e105667. doi: 10.1371/journal.pone.0105667

Table 3. Performance of random prediction method, in terms of MAE, on ANGLOR, SPINE X and ccPDB30 datasets for the prediction of phi and psi dihedral angle.

Random PHI Prediction Random PSI prediction
Residue/Dataset ANGLOR SPINE X ccPDB30 ANGLOR SPINE X ccPDB30
ALA 40.4 34.3 33.7 83.6 82.3 83.0
CYS 44.6 42.7 42.2 88.5 88.7 88.3
ASP 47.8 42.2 41.5 84.8 83.2 83.6
GLU 40.3 33.2 33.3 83.6 78.9 80.8
PHE 43.9 40.6 40.5 88.0 89.5 89.4
GLY 88.5 87.8 88.2 87.3 88.1 88.2
HIS 49.2 46.7 46.7 89.6 88.7 87.1
ILE 34.9 32.9 32.5 88.1 88.5 88.1
LYS 44.0 38.1 38.4 85.9 84.4 85.6
LEU 34.3 30.5 30.2 87.9 85.4 86.2
MET 46.8 40.7 39.2 88.5 86.7 87.7
ASN 59.5 55.6 56.4 83.8 81.8 81.0
PRO 14.0 13.2 12.4 87.7 87.7 87.4
GLN 42.2 37.3 37.7 84.8 81.2 84.3
ARG 42.9 39.2 39.4 86.0 85.2 86.3
SER 49.7 42.8 42.1 89.7 89.9 89.7
THR 41.4 36.8 35.7 89.0 89.8 88.6
VAL 37.7 34.5 34.0 86.7 86.9 86.0
TRP 40.4 38.2 38.8 90.1 88.7 89.0
TYR 42.2 41.4 40.6 89.6 89.3 89.2
ALL 44.7 40.4 40.2 86.8 85.8 86.1
Helix (H) 36.3 32.0 32.0 82.7 78.4 80.5
Sheet (E) 44.9 44.2 43.2 90.7 93.7 92.2
Coil (C) 51.1 46.4 45.9 87.9 88.2 87.5