Biological and Medical Physics, Biomedical Engineering Computational Methods for Protein Structure Prediction and Modeling

Computational Methods for Protein Structure Prediction and Modeling

Volume 1: Basic Characterization

Editors: Xu, Ying, Xu, Dong, Liang, Jie (Eds.)

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  • ISBN 978-0-387-68372-0
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About this book

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

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)

Table of contents (11 chapters)

Buy this book

eBook 149,79 €
price for Spain (gross)
  • ISBN 978-0-387-68372-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase Institutional customers should get in touch with their account manager
Hardcover 207,99 €
price for Spain (gross)
Softcover 194,38 €
price for Spain (gross)
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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