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An Improved Tabu Search Algorithm for 3D Protein Folding Problem

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PRICAI 2008: Trends in Artificial Intelligence (PRICAI 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5351))

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Abstract

An improved Tabu Search (TS) algorithm is presented for three- dimensional (3D) protein folding structure prediction in off-lattice protein AB model. Tabu Search algorithm is one of global optimization algorithms which has strong local search and has been applied for many combination optimization problems. The experimental results show that the ground-state energies obtained by our algorithm are better than those by previous methods. Moreover, the improved Tabu search algorithm has higher searching performance and can be effectively used to predict 3D protein folding structure.

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, 430081, P.R. China

    Xiaolong Zhang & Wen Cheng

Authors
  1. Xiaolong Zhang
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  2. Wen Cheng
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Editor information

Editors and Affiliations

  1. Japan Advanced Institute of Science and Technology, Asahidai 1-1, 923-12292, Nomi, Japan

    Tu-Bao Ho

  2. Department of Computer Science & Technology, Nanjing University, 22 Hankou Road, 210093, China

    Zhi-Hua Zhou

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© 2008 Springer-Verlag Berlin Heidelberg

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Zhang, X., Cheng, W. (2008). An Improved Tabu Search Algorithm for 3D Protein Folding Problem. In: Ho, TB., Zhou, ZH. (eds) PRICAI 2008: Trends in Artificial Intelligence. PRICAI 2008. Lecture Notes in Computer Science(), vol 5351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89197-0_114

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  • DOI: https://doi.org/10.1007/978-3-540-89197-0_114

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89196-3

  • Online ISBN: 978-3-540-89197-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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