Computational Methods for Protein Structure Prediction and Modeling
Language: English
Published by Springer New York Nov 2010, 2010
Series: Book 13 of 101 - Biological and Medical Physics, Biomedical Engineering
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 142.33
Quantity: 2 available
Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware -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. 420 pp. Englisch.
Seller Inventory # 9781441922052
- Title
- Computational Methods for Protein Structure Prediction and Modeling
- Author
- Ying Xu
- Publisher
- Springer New York Nov 2010
- Publication year
- 2010
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1441922059
- ISBN 13
- 9781441922052
- Item weight
- 633 grams
- Dimensions
- 235x155x23 mm
- Series
- Book 13 of 101: Biological and Medical Physics, Biomedical Engineering
This book provides systematic technical expositions of the computational methods for all major aspects of protein structure analysis, prediction and modeling. The chapters have been designed to address comprehensively the main topics of the field. In addition, chapters will be connected seamlessly through a careful design of the overall structure of the book. Topics have been selected carefully so that the book would be useful to a broad readership, including students, postdoctoral fellows, professional practitioners, as well as bioinformatic experts who want to brush up topics related to their own research areas. The book can be used as a textbook for upper undergraduate-level or beginning graduate-level bioinformatics courses. To facilitate learning, four appendices describing the prerequisites for reading this book have been included, in (1) biology, (2) computer science, (3) physics and chemistry, and (4) mathematics and statistics.
Each chapter in the book is a self-contained review of a specific subject, designed to cover the following material: (1) the problem definition and a historical perspective, (2) mathematical or computational formulation of the problem, (3) computational methods and algorithms, (4) performance results, (5) existing software packages, and (6) the strengths, pitfalls, challenges, and future research directions."Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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BuchWeltWeit Ludwig Meier e.K.
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