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

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Title Genetic Algorithm in Ab Initio Protein Structure Prediction Using Low Resolution Model: A Review
Author Hoque, Md Tamjidul; Chetty, Madhu; Sattar, Abdul
Book Title Biomedical Data and Applications
Editor Amandeep S. Sidhu and Tharam S.Dillon
Year Published 2009
Place of publication Berlin Heidelberg
Publisher Springer-Verlag
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.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.springer.com/?SGWID=5-102-0-0-0
Alternative URI http://www.springer.com/engineering/book/978-3-642-02192-3
Copyright Statement "Copyright 2009 Springer. The attached file is reproduced here in accordance with the copyright policy of the publisher. The original publication is available at www.springerlink.com "
Volume 224
Edition First
Chapter Number 14
Page from 317
Page to 342
ISBN 978-3-642-02192-3
Date Accessioned 2009-08-05
Date Available 2009-11-11T05:24:52Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Biological Mathematics; Information and Computing Sciences
URI http://hdl.handle.net/10072/26547
Publication Type Book Chapters
Publication Type Code b1

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