A Metaheuristic Approach to Protein Structure Prediction - Algorithms and Insights from Fitness Landscape Analysis (Paperback, Softcover reprint of the original 1st ed. 2018)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Emergence, Complexity and Computation, 31
Release date:	December 2018
First published:	2018
Authors:	Nanda Dulal Jana • Swagatam Das • Jaya Sil
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	220
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-3-03-009075-3
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Biology, life sciences > Biochemistry > Proteins Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-009075-2
Barcode:	9783030090753

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