THE DEF DATA-BASE OF SEQUENCE BASED PROTEIN FOLD CLASS PREDICTIONS

A new method for predicting protein fold-classes and protein domains f rom sequence data is constructed and used for generating a data base o f protein fold-class assignments. Any given sequence of amino acids is assigned a specific prediction of one out of 45 typical protein fold- classes, a prediction of one out of 4 super fold-classes for the conte nt of secondary structures and a profile of fold-class predictions alo ng the sequence. The prediction accuracy for the super fold-classes is around 91% correct and 82% correct for the specific fold-classes. Thi s accuracy is maintained down to a few percent of sequence identity.