the idea of this method is to use the information of the evolutionarily related proteins to predict the secondary structure of a new amino acid sequence. psiblast is used to find related sequences and to build a position-specific scoring matrix. this matrix is processed by an artificial neural network, which was constructed and trained to predict the secondary structure of the input sequence; in short, it is a machine learning method.