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Table 3 Accuracy for four angles, 5° for each bin, using different combinations of features groups in M2 on training dataset TR4590 with 10-fold cross validation. The number in parentheses is the accuracy of matching the native angles to one of the top five predicted angle bins

From: Grid-based prediction of torsion angle probabilities of protein backbone and its application to discrimination of protein intrinsic disorder regions and selection of model structures

Method φ (Top 5) ψ (Top 5) θ (Top 5) τ (Top 5)
Angles-based features(Angles)a 0.200(0.629) 0.183(0.608) 0.374(0.823) 0.180(0.542)
Structure-based features(Struct)b 0.193(0.602) 0.176(0.583) 0.363(0.804) 0.174(0.521)
PSSM-based features(PSSM)c 0.188(0.588) 0.168(0.555) 0.353(0.784) 0.167(0.493)
Angles+PSSM 0.202(0.633) 0.186(0.613) 0.377(0.826) 0.184(0.545)
Angles+Struct 0.201(0.632) 0.185(0.611) 0.376(0.825) 0.182(0.544)
PSSM+Struct 0.198(0.622) 0.183(0.603) 0.373(0.819) 0.180(0.534)
All features of M2 model 0.203(0.636) 0.187(0.616) 0.379(0.828) 0.185(0.547)
  1. apredicted angle feature group (φ and ψ angles and Cα-atom-based angle θ and rotational angle τ). b Structure-based feature group: predicted secondary structure probability, relative solvent accessibility, half-sphere exposure, and contact numbers. c PSSM based feature group: the features from PSSM profile