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Hybrid Particle Swarm Optimization Technique for Protein Structure Prediction Using 2D Off-Lattice Model

  • Nanda Dulal Jana
  • Jaya Sil
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8298)

Abstract

Protein Structure Prediction with lowest energy from its primary sequence of amino acids is a complex and challenging problem in computational biology, addressed by researchers using heuristic optimization techniques. Particle Swarm Optimization (PSO), a heuristic optimization technique having strong global search capability but often stuck at local optima while solving complex optimization problem. To prevent local optima problem, PSO with local search (HPSOLS) capability has been proposed in the paper to predict structure of protein using 2D off-lattice model. HPSOLS is applied on artificial and real protein sequences to conform the performance and robustness for solving protein structure prediction having lowest energy. Results are compared with other algorithms demonstrating efficiency of the proposed model.

Keywords

Protein Structure Prediction Particle Swarm Optimization Local Search Off-lattice model 

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Nanda Dulal Jana
    • 1
  • Jaya Sil
    • 2
  1. 1.Department of Information TechnologyNational Institute of TechnologyDurgapurIndia
  2. 2.Department of Computer Science and TechnologyBengal Engineering & Science UniversityShibpurIndia

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