A correlation‐coefficient method to predicting protein‐structural classes from amino acid compositions

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Abstract
A protein is usually classified into one of the following four structural classes: all α, all β, (α+β) and α/β. In this paper, based on the maximum correlation-coefficient principle, a new formulation is proposed for pridicting the structural class of a protein according to its amino acid composition. Calculations have been made for a development set of proteins from which the amino acid compo-sitions for the standard structural classes were derived, and an independent set of proteins which are outside the development set. The former can test the self consistency of a method and the latter can test its extrapolating effectiveness. In both cases, the results showed that the new method gave a considerably higher rate of correct prediction than any of the previous methods, implying that a significant improvement has been achieved by implementing the maximum-correlation-coefficient principle in the new method.