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Book synopsis

Volume one of this two volume sequence focuses on the basic characterization of known protein structures as well as structure prediction from protein sequence information. The 11 chapters provide an overview of the field, covering key topics in modeling, force fields, classification, computational methods, and struture prediction. Each chapter is a self contained review designed to cover (1) definition of the problem and an historical perspective, (2) mathematical or computational formulation of the problem, (3) computational methods and algorithms, (4) performance results, (5) existing software packages, and (6) strengths, pitfalls, challenges, and future research directions.Volume One of this two-volume sequence focuses on the basic characterization of known protein structures, and structure prediction from protein sequence information. Eleven chapters survey of the field, covering key topics in modeling, force fields, classification, computational methods, and structure prediction. Each chapter is a self contained review covering definition of the problem and historical perspective; mathematical formulation; computational methods and algorithms; performance results; existing software; strengths, pitfalls, challenges, and future research.

Book details

Book category Books in English Mathematics & science Physics Applied physics

• Full title: Computational Methods for Protein Structure Prediction and Modeling
• Subtitle: Volume 1: Basic Characterization
• Author: Ying Xu, Dong Xu, Jie Liang
• Language: English
• Binding: Paperback
• Number of pages: 396
• EAN: 9781441922052
• ISBN: 1441922059
• ID: 01421051
• Publisher: Springer-Verlag New York Inc.
• Weight: 640 g
• Dimensions: 235 × 155 × 23 mm
• Date of publishing: 12. February 2010

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