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3D Protein Structure Prediction with Local Adjust Tabu Search Algorithm

  • Xiaoli Lin
  • Fengli Zhou
Part of the Communications in Computer and Information Science book series (CCIS, volume 375)

Abstract

The protein folding structure prediction is computationally challenging and has been shown to be NP-hard when the 3D off-lattice AB model is employed. In this paper, the local adjustment tabu search (LATS) algorithm has been used to search the ground state of 3D AB off-lattice model for protein folding structure. A kind of optimization about the neighborhood scale and the annealing mechanism has been presented, where a local adjustment strategy has also been used to enhance the searching ability for the global minimum within theAB off-lattice model. Experimental results demonstrate that the proposed algorithm has better performance in global optimization and can predict 3D protein structure more effectively.

Keywords

Protein Structure Prediction Tabu Search Algorithm 3D Off-Lattice Model Local Adjustment 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Xiaoli Lin
    • 1
  • Fengli Zhou
    • 1
  1. 1.Information and Engineering Department of City CollegeWuhan University of Science and TechnologyWuhanChina

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