Editors:
- Presents a comprehensive overview of protein structure prediction methods
- 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
- Covers topics from De novo methods of protein structure prediction to structure based drug design
Part of the book series: Biological and Medical Physics, Biomedical Engineering (BIOMEDICAL)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Volume 2 of this two-volume sequence focuses on protein structure prediction and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem. A series of appendices review the biological and chemical basics related to protein structure, computer science for structural informatics, and prerequisite mathematics and statistics.
Editors and Affiliations
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Department of Biochemistry and Molecular Biology, University of Georgia, Athens, USA
Ying Xu
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Department of Computer Science Digital Biology Laboratory, University of Missouri—Columbia, West Columbia, USA
Dong Xu
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Department of Bioengineering Center for Bioinformatics, University of Illinois at Chicago, Chicago, USA
Jie Liang
About the editors
Bibliographic Information
Book Title: Computational Methods for Protein Structure Prediction and Modeling
Book Subtitle: Volume 2: Structure Prediction
Editors: Ying Xu, Dong Xu, Jie Liang
Series Title: Biological and Medical Physics, Biomedical Engineering
DOI: https://doi.org/10.1007/978-0-387-68825-1
Publisher: Springer New York, NY
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag New York 2007
Hardcover ISBN: 978-0-387-33321-2Published: 15 December 2006
Softcover ISBN: 978-1-4419-2206-9Published: 01 December 2010
eBook ISBN: 978-0-387-68825-1Published: 05 May 2010
Series ISSN: 1618-7210
Series E-ISSN: 2197-5647
Edition Number: 1
Number of Pages: XX, 322
Number of Illustrations: 41 b/w illustrations
Topics: Biological and Medical Physics, Biophysics, Proteomics, Bioinformatics