. Author manuscript; available in PMC: 2015 Mar 4.

Published in final edited form as: IEEE/ACM Trans Comput Biol Bioinform. 2014 Aug 7;12(1):103–112. doi: 10.1109/TCBB.2014.2343960

TABLE 7.

Comparison of Secondary Structure Predictions

	CASP9		CASP10		Combined CASP		Min Score
Method	Q₃ (%)	Sov (%)	Q₃ (%)	Sov (%)	Q₃ (%)	Sov (%)	Q₃ (%)	Sov (%)
DNSS	81.1	74.7	80.2	73.6	80.7	74.2	50.4	46.1
PSSpred	83.3	72.0	81.0	70.4	82.2	71.3	41.8	33.7
SSpro	79.6	72.6	78.8	71.9	79.2	72.3	49.6	34.0
PSIPRED	80.9	69.3	81.2	68.6	81.0	69.0	33.8	23.2
RaptorX	78.1	70.4	77.9	70.3	78.0	70.3	45.6	33.0

Scores show the average accuracy of secondary structure prediction achieved by three methods over 105 proteins from the CASP9 data set, 93 proteins from the CASP10 data set, and the combined data set of all 198 of these proteins, along with the lowest score achieved for a single protein in this combined data set. Tools are listed from highest to lowest using the same ranking score as used for Tables 1 through 4. Note that DNSS and PSSpred tied for the highest rank.