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Protein Structure Prediction in Lattice Models with Particle Swarm Optimization

  • Andrei Băutu
  • Henri Luchian
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6234)

Abstract

The protein structure prediction problem consists in finding good computational algorithms for prediction of protein native states. This paper applies the Particle Swarm Optimization (PSO) algorithm to predict the tertiary structure of proteins in lattice models. We propose a novel discrete PSO variant designed for lattice-based protein folding models. We present three lattice based models and two folding encodings, which are tested in different combinations on six proteins. The results indicate that the new algorithm performs very efficient and finds very good proteins conformations.

Keywords

Particle Swarm Optimization Lattice Model Particle Swarm Optimization Algorithm Protein Structure Prediction Roulette Wheel Selection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Andrei Băutu
    • 1
  • Henri Luchian
    • 1
  1. 1.Faculty of Computer Science“Al. I. Cuza” UniversityIasiRomania

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