A Metaheuristic Approach to Protein Structure Prediction - Algorithms and Insights from Fitness Landscape Analysis

This book introduces characteristic features of the protein structure prediction (PSP) problem. It focuses on systematic selection and improvement of the most appropriate metaheuristic algorithm to solve the problem based on a fitness landscape analysis, rather than on the nature of the problem, which was the focus of methodologies in the past. Protein structure prediction is concerned with the question of how to determine the three-dimensional structure of a protein from its primary sequence. Recently a number of successful metaheuristic algorithms have been developed to determine the native structure, which plays an important role in medicine, drug design, and disease prediction.
 This interdisciplinary book consolidates the concepts most relevant to protein structure prediction (PSP) through global non-convex optimization. It is intended for graduate students from fields such as computer science, engineering, bioinformatics and as a reference for researchers and practitioners.

List of contents

Metaheuristic Protein Structure Prediction-An Overview.- Related Works.- Continuous Landscape Analysis using Random Walk Algorithm.- Landscape Characterization and Algorithms Selection for the PSP Problem.- The Levy distributed Parameter Adaptive Metaheuristic Algorithm for Protein Structure Prediction.- Protein Structure Prediction using Improved Variants of Metaheuristic Algorithms.- Hybrid Metaheuristic Approach for Protein Structure Prediction.- Conclusions and Future Research.

About the author

Summary

Presents structural features of the Protein-Structure Prediction (PSP) problem and well known metaheuristic techniques

Introduces to Algorithms and Insights from Fitness Landscape Analysis
Demonstrates how to generate the protein landscape structure based on sampling technique for determining the structural properties of the protein landscape

Product details

• Authors: Swagata Das, Swagatam Das, Nanda Dula Jana, Nanda Dulal Jana, Jaya Sil
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.01.2018
• EAN: 9783319747743
• ISBN: 978-3-31-974774-3
• No. of pages: 220
• Dimensions: 157 mm x 241 mm x 18 mm
• Weight: 491 g
• Illustrations: XXIX, 220 p. 59 illus., 54 illus. in color.
• Series: Emergence, Complexity and Computation; Emergence, Complexity and Computation
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; Biochemie, B, Artificial Intelligence, Life Sciences, biochemistry, engineering, complexity, proteins, Computational Intelligence, Cybernetics & systems theory, Protein Structure, Applied Dynamical Systems, Computational complexity