A metaheuristic approach to protein structure prediction : algorithms and insights from fitness landscape analysis /

A metaheuristic approach to protein structure prediction : algorithms and insights from fitness landscape analysis /

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Bibliographic Details
Author / Creator:	Jana, Nanda Dulal, author.
Imprint:	Cham : Springer, 2018.
Description:	1 online resource (XXIX, 220 pages) : illustrations
Language:	English
Series:	Emergence, Complexity and Computation, 2194-7287 ; 31 Emergence, complexity and computation ; 31.
Subject:	Proteins -- Structure -- Mathematical models. Proteins -- Structure -- Computer simulation. Protein Conformation. Models, Theoretical. Computer Simulation. Proteins -- Structure -- Mathematical models. Proteins -- Structure -- Computer simulation. Artificial intelligence. Computational complexity. Computational intelligence. Engineering. Proteins.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11544034

Hidden Bibliographic Details
Other authors / contributors:	Das, Swagatam, author. Sil, Jaya, author.
ISBN:	9783319747750 3319747754 9783319747743 3319747746
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references.
Summary:	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.
Other form:	Printed edition: 9783319747743
Standard no.:	10.1007/978-3-319-74775-0

Description
Summary:	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. <p> 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.</p> <p> 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.</p>
Physical Description:	1 online resource (XXIX, 220 pages) : illustrations
Bibliography:	Includes bibliographical references.
ISBN:	9783319747750 3319747754 9783319747743 3319747746
ISSN:	2194-7287 ;