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A Metaheuristic Approach to Protein Structure Prediction - Algorithms and Insights from Fitness Landscape Analysis (Hardcover, 1st ed. 2018)
Loot Price: R2,807
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A Metaheuristic Approach to Protein Structure Prediction - Algorithms and Insights from Fitness Landscape Analysis (Hardcover, 1st ed. 2018)
Series: Emergence, Complexity and Computation, 31
Expected to ship within 10 - 15 working days
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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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