Protein secondary structure prediction via Pigeon-Inspired Optimization

Proteins are the essential elements in all creatures' life process. The prevailing experimental method to detect protein structure is time consuming. According to Anfinsen's theory, the primary structure is the key to shaping the three-dimensional structure of the protein. Thus, the prediction of proteins' structure avoiding complex experiments is theoretically feasible. Algorithms are applied to make the protein structure prediction while they have some unsatisfactory blemish. For instance, relatively high Gibbs free energy or long iterating progress. In this paper, a new algorithm is introduced to solve this problem. Its name is “Pigeon-Inspired Optimization(PIO) Algorithm”. PIO can work out an accurate prediction in relatively short iterations. The advantages and feasibility of this algorithm will be demonstrated through the experiments, comparing to Particle Swarm Optimization.