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Genetic Algorithm inAb Initio Protein Structure Prediction Using Low Resolution Model: A Review

  • Md. Tamjidul Hoque
  • Madhu Chetty
  • Abdul Sattar
Part of the Studies in Computational Intelligence book series (SCI, volume 224)

Abstract

Proteins are sequences of amino acids bound into a linear chain that adopt a specific folded three-dimensional (3D) shape. This specific folded shape enables proteins to perform specific tasks. The protein structure prediction (PSP) by ab initio or de novo approach is promising amongst various available computational methods and can help to unravel the important relationship between sequence and its corresponding structure. This article presents the ab initio protein structure prediction as a conformational search problem in low resolution model using genetic algorithm. As a review, the essence of twin removal, intelligence in coding, the development and application of domain specific heuristics garnered from the properties of the resulting model and the protein core formation concept discussed are all highly relevant in attempting to secure the best solution.

Keywords

Genetic Algorithm Monte Carlo Protein Structure Prediction Topological Neighbour Relative Encode 
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 2009

Authors and Affiliations

  • Md. Tamjidul Hoque
    • 1
  • Madhu Chetty
    • 2
  • Abdul Sattar
    • 1
  1. 1.IIISGriffith UniversityNathanAustralia
  2. 2.GSITMonash UniversityChurchillAustralia

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