PROTEIN STRUCTURE PREDICTION AND CLASSIFICATION BASED ON BIOGEOGRAPHY TECHNIQUE

In last couple of years, many bio-inspired algorithms have developed to solve constraint problems. The Biogeography-Based Optimization (BBO) is one of the recently developed optimization algorithms. It studies the geographical distribution of biological organisms. The prediction and classification of protein is an important issue in order to analyze the folding patterns of protein sequences. In this paper, we demonstrate the application of BBO algorithm for solving the structure prediction problem of protein sequences and then classify the protein sequences. We compare the performances of BBO and genetic algorithm upon variable length protein sequences using a fitness score. The results govern the superiority of the proposed BBO algorithm for predicting and classifying the protein sequences over the genetic algorithm.