Rank Based Ant Algorithm for 2D-HP Protein Folding

Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 33)

Abstract

Bio-inspired computing is the field of studying emergence and social behaviors of social insects. Bio-inspired algorithms are a branch of nature inspired algorithms which are termed as swarm intelligence, focused on insect behavior in order to develop some meta-heuristics which can mimic insect’s problem solving abilities. In this Paper Rank Based Ant Colony Optimization (RBACO) was applied to solve 2D-HP protein folding problem. The objective is minimizing the energy to obtain the best 2D structure of protein. The RBACO is one of the bio-inspired algorithms, which could obtain better solutions in 2D-HP protein folding process when compared with other algorithms. The problem instances were taken from the HP benchmarks. The 2D-HP lattice model was used for implementation with HP benchmark instances for 2D-HP protein folding.

Keywords

Bio-inspired algorithms 2D-HP protein folding Rank based ACO Misfolding of proteins 

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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of Computer ApplicationsBharathiar UniversityCoimbatoreIndia

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