Application of protein Hasse matrix image to predict protein structural classes

A novel approach was developed for predicting the structural classes of proteins based on their sequences. It was assumed that proteins belonging to a same structural class must bear some sort of similar texture on the protein Hasse matrix images generated by partial ordering. Based on this, three geometric invariant moment factors derived from the image functions were used as the pseudo amino acid components to formulate the protein samples for statistical prediction. The success rates thus obtained on a previously constructed benchmark dataset are quite promising, implying that the protein Hasse matrix image can help to reveal some inherent and subtle features deeply hidden in a pile of long and complicated amino acid sequences.