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. Author manuscript; available in PMC: 2013 Jan 30.
Published in final edited form as: J Comput Chem. 2011 Nov 2;33(3):259–267. doi: 10.1002/jcc.21968

Table 4.

Comparison of secondary structure prediction for three different non-homologous datasets and two different assignment types

DSSP SKSP+

Method 2640 1833 1975 2640 1833 1975
SPINE X Q3 82.7±0.5 81.3±0.5 82.3±0.5 83.2±0.4 82.1±0.6 82.6±0.4
QH 87.4 86.1 87.4 88.1 87.1 88.0
QE 74.2 72.8 74.0 72.9 71.8 72.3
QC 83.3 81.6 82.3 84.7 83.0 83.4

PSIPRED Q3 80.9±0.4 80.6±0.6 81.6±0.4 80.6±0.5 80.3±0.5 80.9±0.4
QH 79.9 79.9 80.9 79.2 79.2 79.6
QE 73.2 73.1 74.3 71.8 71.4 72.3
QC 86.5 85.8 86.8 86.6 87.1 87.6

Server prediction accuracy for the three different non-homologous datasets described in the text. The SPINE X server was trained on 95% of the 2640 dataset, PSIPRED was trained on its own dataset of 1999 proteins. H denotes Helix, C for Coil, and E for Sheet. Error bars were calculated by splitting all proteins randomly into 10 equally sized sets and calculating the standard deviations of the accuracies among them.