Computational Methods for Protein Structure Prediction and Modeling
Volume 1: Basic Characterization
Editors: Xu, Ying, Xu, Dong, Liang, Jie (Eds.)
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- About this book
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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.
- About the authors
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Dr. Ying Xu is Regents-GRA Eminent Scholar and Professor at the University of Georgia. Dr. Dong Xu is the Director of the Digital Biology Laboratory at the University of Missouri-Columbia. Dr. Jie Liang is the Director for the Center for Bioinformatics at the University of Illinois at Chicago.
- Table of contents (11 chapters)
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A Historical Perspective and Overview of Protein Structure Prediction
Pages 1-43
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Empirical Force Fields
Pages 45-69
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Knowledge-Based Energy Functions for Computational Studies of Proteins
Pages 71-123
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Computational Methods for Domain Partitioning of Protein Structures
Pages 125-145
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Protein Structure Comparison and Classification
Pages 147-180
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Table of contents (11 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Computational Methods for Protein Structure Prediction and Modeling
- Book Subtitle
- Volume 1: Basic Characterization
- Editors
-
- Ying Xu
- Dong Xu
- Jie Liang
- Series Title
- Biological and Medical Physics, Biomedical Engineering
- Copyright
- 2007
- Publisher
- Springer-Verlag New York
- Copyright Holder
- Springer-Verlag New York
- eBook ISBN
- 978-0-387-68372-0
- DOI
- 10.1007/978-0-387-68372-0
- Hardcover ISBN
- 978-0-387-33319-9
- Softcover ISBN
- 978-1-4419-2205-2
- Series ISSN
- 1618-7210
- Edition Number
- 1
- Number of Pages
- XX, 396
- Number of Illustrations
- 88 b/w illustrations
- Topics
