Problem of secondary structure prediction minimize by using the Baum Walch algorithm

This research paper gives an in-depth knowledge of an algorithm to predict the secondary structure of protein from its amino acid sequence. Our purpose is to explain how this training algorithm is useful in finding unknown parameters for Hidden Markov Model. Since the strings which are output by the machine can be the result of more than one state sequences, therefore we need an algorithm for training the Hidden Markov Model wherein we optimize the transition and emission probabilities of the machine. Moreover, we will be dealing with an input sequence of protein and will find its secondary structure.