A Metaheuristic Approach to Protein Structure Prediction

Algorithms and Insights from Fitness Landscape Analysis

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Science & Nature, Technology
Cover of the book A Metaheuristic Approach to Protein Structure Prediction by Nanda Dulal Jana, Swagatam Das, Jaya Sil, Springer International Publishing
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Author: Nanda Dulal Jana, Swagatam Das, Jaya Sil ISBN: 9783319747750
Publisher: Springer International Publishing Publication: March 5, 2018
Imprint: Springer Language: English
Author: Nanda Dulal Jana, Swagatam Das, Jaya Sil
ISBN: 9783319747750
Publisher: Springer International Publishing
Publication: March 5, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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