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Published in:
2009 | OriginalPaper | Chapter
Genetic Algorithm inAb Initio Protein Structure Prediction Using Low Resolution Model: A Review
Authors : Md. Tamjidul Hoque, Madhu Chetty, Abdul Sattar
Published in: Biomedical Data and Applications
Publisher: Springer Berlin Heidelberg
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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.