Nearest Neighbor Algorithm for prediction of protein domain structural class

The Nearest Neighbor Algorithm (NNA) was proposed to predict the structural class of a protein domain according to its amino acid composition. Results obtained through Resubstitution test, Jackknife test and independent dataset test are quite high. Accordingly, the present method, if effectively complemented with the existing prediction methods in this area, may become a powerful tool for predicting the structural class of protein domains.