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  • A New Genetic Algorithm for Simplified Protein Structure Prediction

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    Author(s)
    Rashid, MA
    Hoque, MT
    Newton, MAH
    Pham, DN
    Sattar, A
    Griffith University Author(s)
    Sattar, Abdul
    Pham, Nghia N.
    Hoque, Md T.
    Rashid, Mahmood A.
    Newton, MAHakim A.
    Year published
    2012
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    Abstract
    In this paper, we present a new genetic algorithm for protein structure prediction problem using face-centred cubic lattice and hydrophobic-polar energy model. Our algorithm uses i) an exhaustive generation approach to diversify the search; ii) a novel hydrophobic core-directed macro move to intensify the search; and iii) a random-walk strategy to recover from stagnation. On a set of standard benchmark proteins, our algorithm significantly outperforms the state-of-the-art algorithms for the same models.In this paper, we present a new genetic algorithm for protein structure prediction problem using face-centred cubic lattice and hydrophobic-polar energy model. Our algorithm uses i) an exhaustive generation approach to diversify the search; ii) a novel hydrophobic core-directed macro move to intensify the search; and iii) a random-walk strategy to recover from stagnation. On a set of standard benchmark proteins, our algorithm significantly outperforms the state-of-the-art algorithms for the same models.
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    Conference Title
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume
    7691 LNAI
    Publisher URI
    http://ai2012.web.cse.unsw.edu.au/
    DOI
    https://doi.org/10.1007/978-3-642-35101-3_10
    Copyright Statement
    © 2012 Springer Berlin/Heidelberg. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. The original publication is available at www.springerlink.com
    Subject
    Artificial Intelligence and Image Processing not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/52284
    Collection
    • Conference outputs

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