Predicting Amino acid interaction network using artificial Bee colony
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Proteins are biological macromolecules participating in the large majority of processes which govern organisms. Amino Acids are the building block of protein and its primary structure is a linear chain of amino acids, which lacks functionality. Amino acids interact with each other to produce a three-dimensional structure, known as protein folding. In our proposed approach, we are considering protein as a graph of amino acid interaction network whose vertices are the amino acids and edges are the interaction between them. We proposed a single objective evolutionary algorithm and a recently introduced swarm-based optimization algorithm, named Artificial Bee Colony algorithm to predict the interaction between amino acids and thus solving the protein structure prediction (PSP) problem.