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A Metaheuristic Approach to Protein Structure Prediction

Part of the Emergence, Complexity and Computation Book Series (volume 31)

DOI: 10.1007/978-3-319-74775-0

ISBN: 978-3-319-74774-3

Publisher: Springer International Publishing - Springer Journals

Mar 3, 2018

Available

Backgrounds on Protein Structure Prediction and Metaheuristics

Jana, Nanda Dulal; Das, Swagatam; Sil, Jaya

Pages: 1 –28

[This chapter provides a comprehensive overview of the protein structure prediction problem based on metaheuristic algorithms. At first, the basic concepts of proteins, the level of protein structure have been presented in a formal way. A computational model, as well as techniques, have been...
Available

Metaheuristic Approach to PSP—An Overview of the Existing State-of-the-art

Jana, Nanda Dulal; Das, Swagatam; Sil, Jaya

Pages: 29 –38

[This chapter provides an overview of the research in protein structure prediction with metaheuristic techniques using AB off-lattice model. The chapter discuses related work covered under the heads of metaheuristic methods, classified into four categories. The scope of work has been outlined and...
Available

Continuous Landscape Analysis Using Random Walk Algorithm

Jana, Nanda Dulal; Das, Swagatam; Sil, Jaya

Pages: 39 –85

[This chapter describes a chaos based random walk (CRW) algorithm for analyzing landscape structure in continuous search spaces. Unlike the existing random walks, no fixed step size is required in the proposed algorithm, rather conduct the random walk. The chaotic map is used to generate the...
Available

Landscape Characterization and Algorithms Selection for the PSP Problem

Jana, Nanda Dulal; Das, Swagatam; Sil, Jaya

Pages: 87 –150

[Fitness landscape analysis (FLA) is a technique to determine the characteristics of a problem or its structural features based on which the most appropriate algorithm is possible to recommend for solving the problem. In this chapter, we determine structural features of the protein structure...
Available

The Lévy Distributed Parameter Adaptive Differential Evolution for Protein Structure Prediction

Jana, Nanda Dulal; Das, Swagatam; Sil, Jaya

Pages: 151 –167

[This chapter introduces a scheme for controlling parameters adaptively in the differential evolution (DE) algorithm. In the proposed method, parameters of DE are adapted using Lévy distribution. The distribution function allows possible changes with a significant amount in the control parameters...
Available

Protein Structure Prediction Using Improved Variants of Metaheuristic Algorithms

Jana, Nanda Dulal; Das, Swagatam; Sil, Jaya

Pages: 169 –195

[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...
Available

Hybrid Metaheuristic Approach for Protein Structure Prediction

Jana, Nanda Dulal; Das, Swagatam; Sil, Jaya

Pages: 197 –206

[Hybridization is an integrated framework that combines the merits of algorithms to improve the performance of an optimizer. In this chapter, the synergism of the improved version of particle swarm optimization (PSO) and differential evolution (DE) algorithms are invoked to construct a hybrid...
Available

Conclusions and Future Research

Jana, Nanda Dulal; Das, Swagatam; Sil, Jaya

Pages: 207 –209

[This chapter concludes the observations while solving protein structure prediction problem using a metaheuristic algorithm based on fitness landscape analysis. The achievements and also the shortcomings of the proposed methods are discussed in details. At the end future research ideas related to...

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