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A Metaheuristic Approach to Protein Structure PredictionProtein Structure Prediction Using Improved Variants of Metaheuristic Algorithms

A Metaheuristic Approach to Protein Structure Prediction: Protein Structure Prediction Using... [This chapter introduces four schemes for protein structure prediction (PSP) based on 2D and 3D AB off-lattice model. The proposed methods are based on the modified versions of the classical PSO, BA, BBO and HS algorithms, providing an improved solution using different strategies. The strategies are developed in order to find global minimum energy value over the multi-modal landscape structure of the PSP problem. The performance of the proposed methods are extensively compared with the algorithms which are applied to the PSP problem over a test suite of several artificial and real-life protein instances.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Metaheuristic Approach to Protein Structure PredictionProtein Structure Prediction Using Improved Variants of Metaheuristic Algorithms

Part of the Emergence, Complexity and Computation Book Series (volume 31)
Jana, Nanda Dulal; Das, Swagatam; Sil, Jaya
Springer Journals — Mar 3, 2018
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Publisher
Springer International Publishing
Copyright
© Springer International Publishing AG 2018
ISBN
978-3-319-74774-3
Pages
169 –195
DOI
10.1007/978-3-319-74775-0_6
Publisher site
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Abstract

[This chapter introduces four schemes for protein structure prediction (PSP) based on 2D and 3D AB off-lattice model. The proposed methods are based on the modified versions of the classical PSO, BA, BBO and HS algorithms, providing an improved solution using different strategies. The strategies are developed in order to find global minimum energy value over the multi-modal landscape structure of the PSP problem. The performance of the proposed methods are extensively compared with the algorithms which are applied to the PSP problem over a test suite of several artificial and real-life protein instances.]

Published: Mar 3, 2018

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