A Metaheuristic Approach to Protein Structure Prediction

Algorithms and Insights from Fitness Landscape Analysis de

, ,

Éditeur :

Springer


Collection :

Emergence, Complexity and Computation

Paru le : 2018-03-05

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Description
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.
Pages
220 pages
Collection
Emergence, Complexity and Computation
Parution
2018-03-05
Marque
Springer
EAN papier
9783319747743
EAN PDF
9783319747750

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
8489 Ko
Prix
94,94 €
EAN EPUB
9783319747750

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
7178 Ko
Prix
94,94 €