Characterization and Prediction of Protein Flexibility Based on Structural Alphabets

Table 1

The average Q-scores of local structure prediction for the four structure alphabets.

	Sec3	Sec8	PB	DW
Number of letters	3	8	16	28
Single-layer model	0.756	0.593	0.564	0.432
Dual-layer model	0.765	0.614	0.585	0.456

The single-layer model uses the position specific score matrix (PSSM) as input and output probability of the structure alphabet letters. The dual-layer model adds an additional classifier, which uses the output of single-layer model as input and output final prediction. For both models, the support vector machine is used as the classifiers.