Research on Particle Swarm Optimization for Protein Structure Prediction

Abstract:

Protein structure prediction occupies an important position on bioinformatics science. In this paper, basic theory of particle swarm optimization and some theory models of protein folding study are introduced. Using modified particle swarm optimization, the protein structure prediction is predicted, and good performance of algorithm is verified by testing results of Fibonacci sequence. In the end, the future on protein structure prediction solving by particle swarm optimization is prospected.

• Periodical: Advanced Materials Research (Volumes 605-607)
• Pages: 2497-2501
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.605-607.2497
• Online since: December 2012
• Authors: Shi Gang Wang, Feng Juan Wang, Shu Feng Jiang, Hong Jun Zhang
• Keywords: Particle Swarm Optimization (PSO), Protein Folding Prediction, Theory Model of Protein Folding

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