A strategy is presented for protein fold recognition from secondary structure assignments (alpha-helix and beta-strand). The method can detect similarities between protein folds in the absence of sequence similarity. Secondary structure mapping first identifies all possible matches (maps) between a query string of secondary structures and the secondary structures of protein domains of known thr...

UNLABELLED Dihedral angles of amino acids are of considerable importance in protein tertiary structure prediction as they define the backbone of a protein and hence almost define the protein's entire conformation. Most ab initio protein structure prediction methods predict the secondary structure of a protein before predicting the tertiary structure because three-dimensional fold consists of re...

HIGHLIGHTS DSPRED method based on machine learning algorithms to predict 3-state secondary structure elements. Comparative results for prediction. High accuracy of 82.36% SCOPe (Structural Classification Proteins - extended) structural classes.