Recognition of super-secondary structure in proteins.

A procedure to recognize super-secondary structure in protein sequences is described. An idealized template, derived from known super-secondary structures, is used to locate probable sites by matching with secondary structure probability profiles. We applied the method to the identification of beta alpha beta units in beta/alpha type proteins with 75% accuracy. The location of super-secondary structure was then used to refine the original (Garnier et al., 1978) secondary structure prediction resulting in an 8.8% improvement, which correctly assigned 83% of secondary structure elements in 14 proteins. Slight modifications to the Garnier et al. method are suggested, producing a more accurate identification of protein class and a better prediction for beta/alpha type proteins. A method for the incorporation of hydrophobic information into the prediction is also described.

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