Using Artificial Neural Network for Protein Secondary Structure prediction

Some properties of a protein can be determined from Knowing the secondary structure of the protein. The known structure of proteins so far was done using a technique called X-ray diffraction patterns of crystallized then the data from the process is fed through the DSSP algorithm(Kabsch and Sander, 1983) to determine the exact protein structure. The process is time consuming and expensive. There are, however, so many possible combinations of amino acid that could fold into the distinct structures, that why automating predicting secondary structure of protein can be very useful.