A Metaheuristic Approach to Protein Structure Prediction : Algorithms and Insights from Fitness Landscape Analysis / by Nanda Dulal Jana, Swagatam Das, Jaya Sil.

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A Metaheuristic Approach to Protein Structure Prediction : Algorithms and Insights from Fitness Landscape Analysis / by Nanda Dulal Jana, Swagatam Das, Jaya Sil.

9783319747750
3319747754
9783319747743
3319747746

Cham : Springer International Publishing : Imprint: Springer, 2018.

English

1 online resource (xxix, 220 pages) : illustrations.

10.1007/978-3-319-74775-0 doi

Q342

572/.633

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.

Includes bibliographical references.

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Emergence, complexity and computation ; 31.

Print version: 9783319747743

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