Druck auf Anfrage Neuware - Printed after ordering - 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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Bibliographic Details

Title: A Metaheuristic Approach to Protein Structure Prediction : Algorithms and Insights from Fitness Landscape Analysis
Publisher: Springer International Publishing, Springer International Publishing
Publication Date: 2018
Language: English
ISBN 10: 3030090752
ISBN 13: 9783030090753
Binding: Taschenbuch
Condition: Neu
Dimensions: 235 millimeters width by 155 millimeters height by 14 millimeters depth
Weight: 388 grams

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Synopsis

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

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